From cb6937666f96b00ae8d435a2cfb2f417ad25c040 Mon Sep 17 00:00:00 2001
From: Digital Drosophila Archive <archive@localhost>
Date: Wed, 30 Sep 2026 12:08:25 +0800
Subject: [PATCH] Seal Phase 4AJ fixed APL timing hypothesis audit

---
 CURRENT.md                                    |    25 +-
 docs/progress/phase4aj-interpretation.md      |    79 +
 docs/progress/phase4aj-next-validation.md     |    43 +
 .../apl-timing-lab-v1/PROTOCOL.md             |    72 +
 .../apl-timing-lab-v1/al_origin_audit.py      |   513 +
 .../apl-timing-lab-v1/calibration.py          |   368 +
 .../apl-timing-lab-v1/checksums.sha256        |    22 +
 .../apl-timing-lab-v1/compare_timing.py       |   611 +
 .../apl-timing-lab-v1/config.json             |    24 +
 .../male-cns-lif/apl-timing-lab-v1/context.py |    92 +
 .../apl-timing-lab-v1/finalize.py             |   156 +
 .../apl-timing-lab-v1/gpu_timing.py           |   453 +
 .../apl-timing-lab-v1/manifest.json           |   110 +
 .../apl-timing-lab-v1/oracle_timing.py        |   890 +
 .../male-cns-lif/apl-timing-lab-v1/prepare.py |    91 +
 .../apl-timing-lab-v1/run_case.py             |    59 +
 .../apl-timing-lab-v1/run_suite.py            |   108 +
 .../apl-timing-lab-v1/shift_audit.py          |    44 +
 .../apl-timing-lab-v1/test_al_origin_audit.py |   196 +
 .../apl-timing-lab-v1/test_calibration.py     |   244 +
 .../apl-timing-lab-v1/test_protocol.py        |   199 +
 .../apl-timing-lab-v1/tests/__init__.py       |     1 +
 .../tests/test_compare_timing.py              |   169 +
 .../tests/test_timing_queue.py                |   129 +
 .../apl-timing-lab-v1/timing_queue.py         |    87 +
 .../apl-timing-lab-v1/verify_frozen.py        |    55 +
 .../phase4aj-apl-timing/evidence-index.json   | 11744 +++++++
 .../phase4aj-apl-timing/evidence/REPORT.md    |    17 +
 ...ntrol-cal-matched_energy-00-s51101-r0.json |    27 +
 ...ntrol-cal-matched_energy-00-s51101-r1.json |    27 +
 ...ntrol-cal-matched_energy-00-s51102-r0.json |    27 +
 ...ntrol-cal-matched_energy-00-s51103-r0.json |    27 +
 ...ntrol-cal-matched_energy-00-s51104-r0.json |    27 +
 ...ntrol-cal-matched_energy-00-s51105-r0.json |    27 +
 ...ntrol-cal-matched_energy-01-s51101-r0.json |    27 +
 ...ntrol-cal-matched_energy-01-s51101-r1.json |    27 +
 ...ntrol-cal-matched_energy-01-s51102-r0.json |    27 +
 ...ntrol-cal-matched_energy-01-s51103-r0.json |    27 +
 ...ntrol-cal-matched_energy-01-s51104-r0.json |    27 +
 ...ntrol-cal-matched_energy-01-s51105-r0.json |    27 +
 ...ntrol-cal-matched_energy-02-s51101-r0.json |    27 +
 ...ntrol-cal-matched_energy-02-s51101-r1.json |    27 +
 ...ntrol-cal-matched_energy-02-s51102-r0.json |    27 +
 ...ntrol-cal-matched_energy-02-s51103-r0.json |    27 +
 ...ntrol-cal-matched_energy-02-s51104-r0.json |    27 +
 ...ntrol-cal-matched_energy-02-s51105-r0.json |    27 +
 ...ntrol-cal-matched_energy-03-s51101-r0.json |    27 +
 ...ntrol-cal-matched_energy-03-s51101-r1.json |    27 +
 ...ntrol-cal-matched_energy-03-s51102-r0.json |    27 +
 ...ntrol-cal-matched_energy-03-s51103-r0.json |    27 +
 ...ntrol-cal-matched_energy-03-s51104-r0.json |    27 +
 ...ntrol-cal-matched_energy-03-s51105-r0.json |    27 +
 ...ntrol-cal-matched_energy-04-s51101-r0.json |    27 +
 ...ntrol-cal-matched_energy-04-s51101-r1.json |    27 +
 ...ntrol-cal-matched_energy-04-s51102-r0.json |    27 +
 ...ntrol-cal-matched_energy-04-s51103-r0.json |    27 +
 ...ntrol-cal-matched_energy-04-s51104-r0.json |    27 +
 ...ntrol-cal-matched_energy-04-s51105-r0.json |    27 +
 ...ntrol-cal-matched_energy-05-s51101-r0.json |    27 +
 ...ntrol-cal-matched_energy-05-s51101-r1.json |    27 +
 ...ntrol-cal-matched_energy-05-s51102-r0.json |    27 +
 ...ntrol-cal-matched_energy-05-s51103-r0.json |    27 +
 ...ntrol-cal-matched_energy-05-s51104-r0.json |    27 +
 ...ntrol-cal-matched_energy-05-s51105-r0.json |    27 +
 ...ontrol-cal-physiological-00-s51101-r0.json |    27 +
 ...ontrol-cal-physiological-00-s51101-r1.json |    27 +
 ...ontrol-cal-physiological-00-s51102-r0.json |    27 +
 ...ontrol-cal-physiological-00-s51103-r0.json |    27 +
 ...ontrol-cal-physiological-00-s51104-r0.json |    27 +
 ...ontrol-cal-physiological-00-s51105-r0.json |    27 +
 ...ontrol-cal-physiological-01-s51101-r0.json |    27 +
 ...ontrol-cal-physiological-01-s51101-r1.json |    27 +
 ...ontrol-cal-physiological-01-s51102-r0.json |    27 +
 ...ontrol-cal-physiological-01-s51103-r0.json |    27 +
 ...ontrol-cal-physiological-01-s51104-r0.json |    27 +
 ...ontrol-cal-physiological-01-s51105-r0.json |    27 +
 ...ontrol-cal-physiological-02-s51101-r0.json |    27 +
 ...ontrol-cal-physiological-02-s51101-r1.json |    27 +
 ...ontrol-cal-physiological-02-s51102-r0.json |    27 +
 ...ontrol-cal-physiological-02-s51103-r0.json |    27 +
 ...ontrol-cal-physiological-02-s51104-r0.json |    27 +
 ...ontrol-cal-physiological-02-s51105-r0.json |    27 +
 ...ontrol-cal-physiological-03-s51101-r0.json |    27 +
 ...ontrol-cal-physiological-03-s51101-r1.json |    27 +
 ...ontrol-cal-physiological-03-s51102-r0.json |    27 +
 ...ontrol-cal-physiological-03-s51103-r0.json |    27 +
 ...ontrol-cal-physiological-03-s51104-r0.json |    27 +
 ...ontrol-cal-physiological-03-s51105-r0.json |    27 +
 ...ontrol-cal-physiological-04-s51101-r0.json |    27 +
 ...ontrol-cal-physiological-04-s51101-r1.json |    27 +
 ...ontrol-cal-physiological-04-s51102-r0.json |    27 +
 ...ontrol-cal-physiological-04-s51103-r0.json |    27 +
 ...ontrol-cal-physiological-04-s51104-r0.json |    27 +
 ...ontrol-cal-physiological-04-s51105-r0.json |    27 +
 ...ontrol-cal-physiological-05-s51101-r0.json |    27 +
 ...ontrol-cal-physiological-05-s51101-r1.json |    27 +
 ...ontrol-cal-physiological-05-s51102-r0.json |    27 +
 ...ontrol-cal-physiological-05-s51103-r0.json |    27 +
 ...ontrol-cal-physiological-05-s51104-r0.json |    27 +
 ...ontrol-cal-physiological-05-s51105-r0.json |    27 +
 ...t-delay0-cal-matched_energy-00-s51101.json |   201 +
 ...t-delay0-cal-matched_energy-01-s51101.json |   201 +
 ...t-delay0-cal-matched_energy-02-s51101.json |   201 +
 ...t-delay0-cal-matched_energy-03-s51101.json |   201 +
 ...t-delay0-cal-matched_energy-04-s51101.json |   201 +
 ...t-delay0-cal-matched_energy-05-s51101.json |   201 +
 ...at-delay0-cal-physiological-00-s51101.json |   201 +
 ...at-delay0-cal-physiological-01-s51101.json |   201 +
 ...at-delay0-cal-physiological-02-s51101.json |   201 +
 ...at-delay0-cal-physiological-03-s51101.json |   201 +
 ...at-delay0-cal-physiological-04-s51101.json |   201 +
 ...at-delay0-cal-physiological-05-s51101.json |   201 +
 ...-delay18-cal-matched_energy-00-s51101.json |   201 +
 ...-delay18-cal-matched_energy-01-s51101.json |   201 +
 ...-delay18-cal-matched_energy-02-s51101.json |   201 +
 ...-delay18-cal-matched_energy-03-s51101.json |   201 +
 ...-delay18-cal-matched_energy-04-s51101.json |   201 +
 ...-delay18-cal-matched_energy-05-s51101.json |   201 +
 ...t-delay18-cal-physiological-00-s51101.json |   201 +
 ...t-delay18-cal-physiological-01-s51101.json |   201 +
 ...t-delay18-cal-physiological-02-s51101.json |   201 +
 ...t-delay18-cal-physiological-03-s51101.json |   201 +
 ...t-delay18-cal-physiological-04-s51101.json |   201 +
 ...t-delay18-cal-physiological-05-s51101.json |   201 +
 .../evidence/audit/calibration-gate.json      |     6 +
 .../audit/compare-delay0-apl_only.json        |   315 +
 .../compare-delay0-arrival_collision.json     |   315 +
 ...e-delay0-cal-matched_energy-00-s51101.json |   256 +
 ...re-delay0-cal-physiological-00-s51101.json |   256 +
 .../audit/compare-delay0-high_fanin.json      |   315 +
 .../audit/compare-delay0-kc_ref_boundary.json |   315 +
 .../audit/compare-delay0-natural_request.json |   315 +
 .../audit/compare-delay0-pn_pulse.json        |   315 +
 .../audit/compare-delay0-two_sources.json     |   315 +
 .../evidence/audit/compare-delay0-zero.json   |   315 +
 .../audit/compare-delay18-apl_only.json       |   315 +
 .../compare-delay18-arrival_collision.json    |   315 +
 ...-delay18-cal-matched_energy-00-s51101.json |   256 +
 ...e-delay18-cal-physiological-00-s51101.json |   256 +
 .../audit/compare-delay18-high_fanin.json     |   315 +
 .../compare-delay18-kc_ref_boundary.json      |   315 +
 .../compare-delay18-natural_request.json      |   315 +
 .../audit/compare-delay18-pn_pulse.json       |   315 +
 .../audit/compare-delay18-two_sources.json    |   315 +
 .../evidence/audit/compare-delay18-zero.json  |   315 +
 .../evidence/audit/control-apl_only.json      |    33 +
 .../audit/control-arrival_collision.json      |    33 +
 .../control-cal-matched_energy-00-s51101.json |    27 +
 .../control-cal-physiological-00-s51101.json  |    27 +
 .../evidence/audit/control-high_fanin.json    |    33 +
 .../audit/control-kc_ref_boundary.json        |    33 +
 .../audit/control-natural_request.json        |    33 +
 .../evidence/audit/control-pn_pulse.json      |    33 +
 .../evidence/audit/control-two_sources.json   |    33 +
 .../evidence/audit/control-zero.json          |    33 +
 .../evidence/audit/final-status.json          | 15474 +++++++++
 .../evidence/audit/fixtures-gate.json         |   102 +
 .../evidence/audit/probes-gate.json           |    30 +
 .../audit/repeat-delay0-apl_only-r1.json      |   237 +
 .../audit/repeat-delay0-apl_only-r2.json      |   237 +
 .../repeat-delay0-arrival_collision-r1.json   |   237 +
 .../repeat-delay0-arrival_collision-r2.json   |   237 +
 .../audit/repeat-delay0-high_fanin-r1.json    |   237 +
 .../audit/repeat-delay0-high_fanin-r2.json    |   237 +
 .../repeat-delay0-kc_ref_boundary-r1.json     |   237 +
 .../repeat-delay0-kc_ref_boundary-r2.json     |   237 +
 .../repeat-delay0-natural_request-r1.json     |   237 +
 .../repeat-delay0-natural_request-r2.json     |   237 +
 .../audit/repeat-delay0-pn_pulse-r1.json      |   237 +
 .../audit/repeat-delay0-pn_pulse-r2.json      |   237 +
 .../audit/repeat-delay0-two_sources-r1.json   |   237 +
 .../audit/repeat-delay0-two_sources-r2.json   |   237 +
 .../evidence/audit/repeat-delay0-zero-r1.json |   237 +
 .../evidence/audit/repeat-delay0-zero-r2.json |   237 +
 .../audit/repeat-delay18-apl_only-r1.json     |   237 +
 .../audit/repeat-delay18-apl_only-r2.json     |   237 +
 .../repeat-delay18-arrival_collision-r1.json  |   237 +
 .../repeat-delay18-arrival_collision-r2.json  |   237 +
 .../audit/repeat-delay18-high_fanin-r1.json   |   237 +
 .../audit/repeat-delay18-high_fanin-r2.json   |   237 +
 .../repeat-delay18-kc_ref_boundary-r1.json    |   237 +
 .../repeat-delay18-kc_ref_boundary-r2.json    |   237 +
 .../repeat-delay18-natural_request-r1.json    |   237 +
 .../repeat-delay18-natural_request-r2.json    |   237 +
 .../audit/repeat-delay18-pn_pulse-r1.json     |   237 +
 .../audit/repeat-delay18-pn_pulse-r2.json     |   237 +
 .../audit/repeat-delay18-two_sources-r1.json  |   237 +
 .../audit/repeat-delay18-two_sources-r2.json  |   237 +
 .../audit/repeat-delay18-zero-r1.json         |   237 +
 .../audit/repeat-delay18-zero-r2.json         |   237 +
 .../evidence/audit/shift-gate.json            |  2322 ++
 .../calibration/delay0/matched_energy.json    |   166 +
 .../calibration/delay0/physiological.json     |   166 +
 .../evidence/calibration/delay0/summary.json  |  5821 ++++
 .../calibration/delay18/matched_energy.json   |   166 +
 .../calibration/delay18/physiological.json    |   166 +
 .../evidence/calibration/delay18/summary.json |  3804 +++
 .../evidence/calibration/summary.json         |  9683 ++++++
 .../evidence/cases/delay0/apl_only/spec.json  |    35 +
 .../cases/delay0/arrival_collision/spec.json  |    35 +
 .../cal-matched_energy-00-s51101/spec.json    |    43 +
 .../cal-matched_energy-00-s51102/spec.json    |    43 +
 .../cal-matched_energy-00-s51103/spec.json    |    43 +
 .../cal-matched_energy-00-s51104/spec.json    |    43 +
 .../cal-matched_energy-00-s51105/spec.json    |    43 +
 .../cal-matched_energy-01-s51101/spec.json    |    43 +
 .../cal-matched_energy-01-s51102/spec.json    |    43 +
 .../cal-matched_energy-01-s51103/spec.json    |    43 +
 .../cal-matched_energy-01-s51104/spec.json    |    43 +
 .../cal-matched_energy-01-s51105/spec.json    |    43 +
 .../cal-matched_energy-02-s51101/spec.json    |    43 +
 .../cal-matched_energy-02-s51102/spec.json    |    43 +
 .../cal-matched_energy-02-s51103/spec.json    |    43 +
 .../cal-matched_energy-02-s51104/spec.json    |    43 +
 .../cal-matched_energy-02-s51105/spec.json    |    43 +
 .../cal-matched_energy-03-s51101/spec.json    |    43 +
 .../cal-matched_energy-03-s51102/spec.json    |    43 +
 .../cal-matched_energy-03-s51103/spec.json    |    43 +
 .../cal-matched_energy-03-s51104/spec.json    |    43 +
 .../cal-matched_energy-03-s51105/spec.json    |    43 +
 .../cal-matched_energy-04-s51101/spec.json    |    43 +
 .../cal-matched_energy-04-s51102/spec.json    |    43 +
 .../cal-matched_energy-04-s51103/spec.json    |    43 +
 .../cal-matched_energy-04-s51104/spec.json    |    43 +
 .../cal-matched_energy-04-s51105/spec.json    |    43 +
 .../cal-matched_energy-05-s51101/spec.json    |    43 +
 .../cal-matched_energy-05-s51102/spec.json    |    43 +
 .../cal-matched_energy-05-s51103/spec.json    |    43 +
 .../cal-matched_energy-05-s51104/spec.json    |    43 +
 .../cal-matched_energy-05-s51105/spec.json    |    43 +
 .../cal-physiological-00-s51101/spec.json     |    43 +
 .../cal-physiological-00-s51102/spec.json     |    43 +
 .../cal-physiological-00-s51103/spec.json     |    43 +
 .../cal-physiological-00-s51104/spec.json     |    43 +
 .../cal-physiological-00-s51105/spec.json     |    43 +
 .../cal-physiological-01-s51101/spec.json     |    43 +
 .../cal-physiological-01-s51102/spec.json     |    43 +
 .../cal-physiological-01-s51103/spec.json     |    43 +
 .../cal-physiological-01-s51104/spec.json     |    43 +
 .../cal-physiological-01-s51105/spec.json     |    43 +
 .../cal-physiological-02-s51101/spec.json     |    43 +
 .../cal-physiological-02-s51102/spec.json     |    43 +
 .../cal-physiological-02-s51103/spec.json     |    43 +
 .../cal-physiological-02-s51104/spec.json     |    43 +
 .../cal-physiological-02-s51105/spec.json     |    43 +
 .../cal-physiological-03-s51101/spec.json     |    43 +
 .../cal-physiological-03-s51102/spec.json     |    43 +
 .../cal-physiological-03-s51103/spec.json     |    43 +
 .../cal-physiological-03-s51104/spec.json     |    43 +
 .../cal-physiological-03-s51105/spec.json     |    43 +
 .../cal-physiological-04-s51101/spec.json     |    43 +
 .../cal-physiological-04-s51102/spec.json     |    43 +
 .../cal-physiological-04-s51103/spec.json     |    43 +
 .../cal-physiological-04-s51104/spec.json     |    43 +
 .../cal-physiological-04-s51105/spec.json     |    43 +
 .../cal-physiological-05-s51101/spec.json     |    43 +
 .../cal-physiological-05-s51102/spec.json     |    43 +
 .../cal-physiological-05-s51103/spec.json     |    43 +
 .../cal-physiological-05-s51104/spec.json     |    43 +
 .../cal-physiological-05-s51105/spec.json     |    43 +
 .../cases/delay0/high_fanin/spec.json         |    35 +
 .../cases/delay0/kc_ref_boundary/spec.json    |    35 +
 .../cases/delay0/natural_request/spec.json    |    35 +
 .../evidence/cases/delay0/pn_pulse/spec.json  |    35 +
 .../cases/delay0/two_sources/spec.json        |    35 +
 .../evidence/cases/delay0/zero/spec.json      |    35 +
 .../evidence/cases/delay18/apl_only/spec.json |    35 +
 .../cases/delay18/arrival_collision/spec.json |    35 +
 .../cal-matched_energy-00-s51101/spec.json    |    43 +
 .../cal-matched_energy-00-s51102/spec.json    |    43 +
 .../cal-matched_energy-00-s51103/spec.json    |    43 +
 .../cal-matched_energy-00-s51104/spec.json    |    43 +
 .../cal-matched_energy-00-s51105/spec.json    |    43 +
 .../cal-matched_energy-01-s51101/spec.json    |    43 +
 .../cal-matched_energy-01-s51102/spec.json    |    43 +
 .../cal-matched_energy-01-s51103/spec.json    |    43 +
 .../cal-matched_energy-01-s51104/spec.json    |    43 +
 .../cal-matched_energy-01-s51105/spec.json    |    43 +
 .../cal-matched_energy-02-s51101/spec.json    |    43 +
 .../cal-matched_energy-02-s51102/spec.json    |    43 +
 .../cal-matched_energy-02-s51103/spec.json    |    43 +
 .../cal-matched_energy-02-s51104/spec.json    |    43 +
 .../cal-matched_energy-02-s51105/spec.json    |    43 +
 .../cal-matched_energy-03-s51101/spec.json    |    43 +
 .../cal-matched_energy-03-s51102/spec.json    |    43 +
 .../cal-matched_energy-03-s51103/spec.json    |    43 +
 .../cal-matched_energy-03-s51104/spec.json    |    43 +
 .../cal-matched_energy-03-s51105/spec.json    |    43 +
 .../cal-matched_energy-04-s51101/spec.json    |    43 +
 .../cal-matched_energy-04-s51102/spec.json    |    43 +
 .../cal-matched_energy-04-s51103/spec.json    |    43 +
 .../cal-matched_energy-04-s51104/spec.json    |    43 +
 .../cal-matched_energy-04-s51105/spec.json    |    43 +
 .../cal-matched_energy-05-s51101/spec.json    |    43 +
 .../cal-matched_energy-05-s51102/spec.json    |    43 +
 .../cal-matched_energy-05-s51103/spec.json    |    43 +
 .../cal-matched_energy-05-s51104/spec.json    |    43 +
 .../cal-matched_energy-05-s51105/spec.json    |    43 +
 .../cal-physiological-00-s51101/spec.json     |    43 +
 .../cal-physiological-00-s51102/spec.json     |    43 +
 .../cal-physiological-00-s51103/spec.json     |    43 +
 .../cal-physiological-00-s51104/spec.json     |    43 +
 .../cal-physiological-00-s51105/spec.json     |    43 +
 .../cal-physiological-01-s51101/spec.json     |    43 +
 .../cal-physiological-01-s51102/spec.json     |    43 +
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 .../cal-physiological-01-s51104/spec.json     |    43 +
 .../cal-physiological-01-s51105/spec.json     |    43 +
 .../cal-physiological-02-s51101/spec.json     |    43 +
 .../cal-physiological-02-s51102/spec.json     |    43 +
 .../cal-physiological-02-s51103/spec.json     |    43 +
 .../cal-physiological-02-s51104/spec.json     |    43 +
 .../cal-physiological-02-s51105/spec.json     |    43 +
 .../cal-physiological-03-s51101/spec.json     |    43 +
 .../cal-physiological-03-s51102/spec.json     |    43 +
 .../cal-physiological-03-s51103/spec.json     |    43 +
 .../cal-physiological-03-s51104/spec.json     |    43 +
 .../cal-physiological-03-s51105/spec.json     |    43 +
 .../cal-physiological-04-s51101/spec.json     |    43 +
 .../cal-physiological-04-s51102/spec.json     |    43 +
 .../cal-physiological-04-s51103/spec.json     |    43 +
 .../cal-physiological-04-s51104/spec.json     |    43 +
 .../cal-physiological-04-s51105/spec.json     |    43 +
 .../cal-physiological-05-s51101/spec.json     |    43 +
 .../cal-physiological-05-s51102/spec.json     |    43 +
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 .../cal-physiological-05-s51105/spec.json     |    43 +
 .../cases/delay18/high_fanin/spec.json        |    35 +
 .../cases/delay18/kc_ref_boundary/spec.json   |    35 +
 .../cases/delay18/natural_request/spec.json   |    35 +
 .../evidence/cases/delay18/pn_pulse/spec.json |    35 +
 .../cases/delay18/two_sources/spec.json       |    35 +
 .../evidence/cases/delay18/zero/spec.json     |    35 +
 .../evidence/checksums.sha256                 |  4955 +++
 .../component-audit/delay0/apl_only.json      |   151 +
 .../delay0/arrival_collision.json             |   151 +
 .../delay0/cal-matched_energy-00-s51101.json  |   151 +
 .../delay0/cal-physiological-00-s51101.json   |   151 +
 .../component-audit/delay0/high_fanin.json    |   151 +
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 1992 files changed, 258416 insertions(+), 10 deletions(-)
 create mode 100644 docs/progress/phase4aj-interpretation.md
 create mode 100644 docs/progress/phase4aj-next-validation.md
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/PROTOCOL.md
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/al_origin_audit.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/calibration.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/checksums.sha256
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/compare_timing.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/config.json
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/context.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/finalize.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/gpu_timing.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/manifest.json
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/oracle_timing.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/prepare.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/run_case.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/run_suite.py
 create mode 100644 models/male-cns-lif/apl-timing-lab-v1/shift_audit.py
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diff --git a/CURRENT.md b/CURRENT.md
index 7128b3e..59d7c88 100644
--- a/CURRENT.md
+++ b/CURRENT.md
@@ -4,22 +4,27 @@
 
 ## 最新结果
 
-Phase 4AI：**PASS-CONDITIONAL-PN-APL-SOURCE-AUDIT**，已封存。74 项测试、80 份既有记录的 PN 事件/计数/最终状态重建、8 份小型逐步历史及 12 对重复检查全部通过。无新全脑实验、GPU、调参或训练。
+Phase 4AJ 已封存：**PASS-FIXED-CAL-APL-TIMING-HYPOTHESIS**。只在独立分支比较 graded-APL h 当步施加与固定延迟 18 tick（1.8 ms），没有改 gain、LIF、输入、符号或 connectome。
 
-60/60 CAL 中，非设计目标 PN 的首次活动早于首个 KC。已激活非设计 PN 的首发前正增量约 66% 来自 ALLN、28% 来自 ALPN；这是正增量而非净去极化或唯一因果。考虑负项后，两类来源的净时间过滤 V 贡献排名不同。
+| 检查 | 结果 |
+|---|---|
+| 数值门／完整 CAL 执行 | PASS；每臂 60 主运行＋12 重复 |
+| D0 对照复现 | PASS；精确复现封存 AG |
+| D0 表示门 | FAIL，仍是原约 1.2% 的平均 KC 活跃比例不足 |
+| D18 表示门 | 两模式 PASS；平均 KC 活跃比例 3.4482%／3.4072% |
+| 气味对通过数 | D18 均 11/15；D0 为 12/15、13/15，并非全面提高 |
+| 旧文件完整性／五组冻结参考新回归 | 全部 PASS |
 
-非设计 PN 贡献了约 74% 的整窗 graded-APL 累计 h；在全网首个 KC 前约为 62%–63%。这些是冻结工程算子的条件来源分账，不是已证实的失败原因。
+1.8 ms 是工程调度假设，不是 MaleCNS APL 生理延迟测量。Brian 独立 LIF 对照仍共享冻结 APL 算术，已单独审计组件；不能称全组件独立 CPU 证明。未替代的 1212 条非 KC fast-APL 边限制保持原样。
 
-PN 活动具有很强共同背景，但仍有小的气味差异，且指标不一致；matched-energy 的 Euclidean between 未超过 within。不能把高相似性直接解释为零信息。
-
-原 Phase 4AG **FAIL-FIXED-CAL-REPRESENTATION** 不变；没有学习候选，不能进入条件化、游戏/RL/decoder/Web。原 230239 项及后续冻结目录校验全部通过。旧五组参考本轮未重跑，上一轮封存 PASS 记录未变。
+这只是固定 100 ms 校准通过，**学习尚未可用，没有生成 candidate，也未替换正式 runtime**。原 Phase 4AG FAIL 和其他封存结果全部保留。
 
 ## 下一步
 
-先用既有记录核对最早非设计 PN 群、首个 KC 前窗口及 PN→ALLN 的真实先行边，补足当前尚未证明的动态闭环。再预声明独立 APL 时间算子对照：原 delay=0 与固定 18 步平移；先检验固定序列与末端记录完整性，不扫描最佳值，不调 gain、threshold、eta。18 步是工程对齐，不是文献确定的 MaleCNS 生理延迟。保留正负来源及 never-active 对照，不能把最大正增量来源直接当成最大净因果作用。
+冻结 D18，先做新 seeds，再做未参与 AG/AJ 校准的后六气味验证；分别套用原门槛，不搜索参数、不合并均值救失败。先审计种子复用与静态输入来源；不提前读取旧 held-out 动态输出。旧 4L 曾运行全 12 气味，因此不称这些为项目历史从未模拟的气味。
 
-旧 raw/CSR/W_syn/sign/APL 参数/eligibility-v2/14232-edge mask 与全部冻结产物保持不变。尚未启动上述后续实验；所有新模型假设需独立目录、协议和回归门，不能覆盖本轮结果。
+上述下一阶段尚未执行。通过外推之后才考虑 credit specificity 和功能性记忆门，不能直接进入 conditioning／游戏。raw/CSR/W_syn/sign/APL 参数/eligibility-v2/14232-edge mask 与旧冻结产物不变。
 
-本轮完整新审计数据约 1.10 GB 在服务器；Git 发布小报告、代码和校验，不是全量异机备份。
+完整新事件数据在服务器。Git 同步代码、小报告与校验，不是全量异机备份。
 
-[最新解释](docs/progress/phase4ai-interpretation.md) · [正式封存状态](registry/phase4ai-pn-recruitment-audit/evidence/audit/final-status.json) · [下一步假设](docs/progress/phase4ai-next-hypotheses.md) · [封存校验](registry/phase4ai-pn-recruitment-audit/seal-verification.json)
+[结果解释](docs/progress/phase4aj-interpretation.md) · [正式状态](registry/phase4aj-apl-timing/evidence/audit/final-status.json) · [下一关计划](docs/progress/phase4aj-next-validation.md) · [封存校验](registry/phase4aj-apl-timing/seal-verification.json)
diff --git a/docs/progress/phase4aj-interpretation.md b/docs/progress/phase4aj-interpretation.md
new file mode 100644
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+# Phase 4AJ：固定 graded-APL 时序分支
+
+日期：2026-09-30。正式状态：`PASS-FIXED-CAL-APL-TIMING-HYPOTHESIS`。
+
+这表示固定校准门通过，不是 held-out 泛化、关联记忆或“学习已经可用”。没有产生候选模型，也没有替换正式 runtime。
+
+## 唯一干预与独立性
+
+以封存的 Phase 4AG-r2 为对照，只比较完整 graded-APL 输出 h 在生成当步施加（D0），或延迟固定 18 tick / 1.8 ms 施加（D18）。这是工程时序假设，不是测得的 MaleCNS APL 生理延迟；PN 与 KC 来源的 h 一起延迟。
+
+未改变 raw、CSR、原始 contact count、W_syn、符号、LIF 参数、APL tau/gain、eligibility-v2 或 14232-edge plastic mask。独立分支继续保留既有 5845 条 fast-APL 输出置零约定，其中 1212 条非 KC 边仍未被 graded 算子替代。没有静默修补这一局限。
+
+两臂同一 case 的输入请求字节相同；受不应期影响，实际接受事件和闭环生成的 h 可不同。`matched_energy` 匹配的是预期输入量，并非不同气味的实际接受事件数完全相等。
+
+## 固定 CAL 结果
+
+每臂 6 气味 × 2 模式 × 5 seeds = 60 条主轨迹，另有 12 次精确重复；每条为 100 ms。两个臂均完整执行，未按结果删去条件。
+
+| 指标 | D0 生理输入 | D18 生理输入 | D0 匹配预期输入 | D18 匹配预期输入 |
+|---|---:|---:|---:|---:|
+| 平均 KC 活跃比例 | 1.2713% | 3.4482% | 1.2336% | 3.4072% |
+| 最小–最大活跃比例 | 0.9350–1.9439% | 2.7067–4.6752% | 0.8858–1.7717% | 2.7067–4.6014% |
+| 同／异气味 Jaccard | .509072 / .460955 | .516363 / .480098 | .516431 / .481702 | .529681 / .495694 |
+| 同／异气味 Euclidean distance | 5.811443 / 6.205091 | 9.493907 / 9.972922 | 5.671828 / 5.932021 | 9.263882 / 9.684475 |
+| 通过的气味对 | 12/15 | 11/15 | 13/15 | 11/15 |
+| 原六项门槛 | FAIL：平均活跃比例 | PASS | FAIL：平均活跃比例 | PASS |
+
+原门槛保持：平均 KC fraction 在 3%–9%，所有运行非零且小于 50%，同气味 Jaccard 高于异气味，异气味欧氏距离高于同气味，至少 3 个气味对通过。平均门槛不要求每一条轨迹都达到 3%。每模式 60 个 within 比较、75 个 between 比较；每个气味对使用自己的 within 基准。
+
+**不能把本结果解释为分离能力全面提高。** 可分气味对数量反而由 12/15、13/15 降为 11/15；欧氏距离还受活跃维度与计数影响。通过的是预先固定的完整 CAL 判据，不是显著性、记忆或生物学真实性证明。
+
+顶层 `calibration.pass_all` 为 false，因为它要求两个臂的表示门都通过；D0 的已知表示失败没有改变。实际执行看 `execution_gate_pass=true`；正式时序假设结论由完整数值门与 D18 门决定，没有把 D0 失败改写为成功。
+
+## 数值与完整性
+
+- 模型合成测试本地和服务器均 65/65；发布工具 12 项、描述工具 6 项，合计 18/18，在本地和服务器均通过。
+- 60 份封存对照中，420 个 ALLN 的事件、计数及最终 V/g/ref 条件重建通过。
+- 固定生成序列 68 × 2 = 136 项平移检查通过。初始正零与未消费尾部样本按位保留，不额外推进脑来清空尾部。
+- 两臂各 8 个 fixture 与 2 个全图 probe，共 20 组 Brian LIF／GPU 与 APL 组件检查通过；32 组 fixture 技术重复通过。
+- 两臂 120 条 CAL 主轨迹及 24 次重复完整，D0 的 72 次 CAL 对照精确复现旧结果。
+- 旧五组冻结参考新运行的事件序列、计数和最终 V/g 均逐位一致。原登记 230239 项与后续 Phase 4AA–4AI 各封存目录均校验通过，无 mismatch。
+
+Brian 独立执行 LIF、产生自己的 spikes 并维护独立 FIFO，但 APL 算术仍共享已冻结 Torch 组件；另有 AST replay／舍入界组件审计。不能称全组件独立 CPU 验证或普遍等价证明。当前仅验证了固定短轨迹，不代表任意时间长度的稳定性。
+
+旧 reference 加载只读 NumPy 数组时发出 PyTorch 警告；未为此修改封存代码。五组回归仍精确，冻结文件校验通过。诊断耗时包含同步、哈希和进程通信，不是生产运行时速度。
+
+仓库格式审查保留 3 处非功能性提醒：已封存 `compare_timing.py:611`、`gpu_timing.py:453` 的末尾空行，以及 `test_calibration.py:206` 的行末空格。没有为了通过格式检查改写已登记／封存源代码；这些提醒不是数值失败，也不应报告成“格式检查零提醒”。
+
+## 最早非设计 PN：补齐的是带时序先行证据
+
+以下只来自旧 AG-r2 的 60 条对照轨迹，**不是新 D18 的来源归因**。窗口严格早于 earliest cohort 各自首发以及全网首个 KC；所有同 tick 首发 PN 均纳入。
+
+| 指标 | 生理输入 | 匹配预期输入 |
+|---|---:|---:|
+| 最早非设计 PN 早于首个 KC | 30/30 | 30/30 |
+| 最早 cohort neuron-occurrences | 36 | 34 |
+| 接受到该 cohort 的 ALLN→PN edge-events | 85 | 91 |
+| 其中 ALLN 本次放电前、上次 reset 后有 design PN→ALLN 接受事件 | 85 | 91 |
+| 保存的时序 join pairs | 274 | 320 |
+| design ALPN 名义正增量合计（SI V） | 2.546500 | 2.189825 |
+| ALLN 名义正增量合计（SI V） | 1.411025 | 1.446500 |
+| ALLN 名义负增量绝对值合计（SI V） | .191950 | .209550 |
+
+这里既有直接 PN 来边，也有符合实际延迟／接受条件的 PN→ALLN→PN 先行链。名义正增量最大的并非 ALLN；不能沿用 4AI 另一群体／窗口的约 66% 数字。85/91 是带时间的边事件数，不是唯一边数；274/320 是可共享先行事件的 join pairs，不是独立因果重复。负权重事件不构成兴奋性招募证据。
+
+这些结果排除“尚未发生的 KC spike 启动最早 PN”这一解释，但不证明某条边的必要性、充分性、唯一原因，亦不证明气味信息全部丢失。ALLN 是 annotation class，不是 nonspiking 身份。
+
+## 保存与下一关
+
+- 新模型：`models/male-cns-lif/apl-timing-lab-v1/`。
+- 新实验：`experiments/phase4aj-apl-timing/`。
+- 模型 payload 21 文件、275408 bytes；实验 payload 4954 文件、6991917799 bytes（约 6.99 GB）。这不包含 manifest/checksums 两个控制文件。
+- 模型 manifest SHA-256：`52b05dd1ff30b6b51ff960fe95904532f5c147731a83f0b5c31f98ca7e53c216`。
+- 实验 manifest SHA-256：`7f490ada0db30785c61954d8b92147378ddc8bc16b229fe3808bbe501caff44a`。
+- 发布复制 1957 个小证据／控制文件、8673739 bytes（约 8.67 MB）；另有发布收据、索引与只读解释文件，不将它们混入上述复制数量。
+- [正式状态](../../registry/phase4aj-apl-timing/evidence/audit/final-status.json)、[CAL](../../registry/phase4aj-apl-timing/evidence/calibration/summary.json)、[旧回归](../../registry/phase4aj-apl-timing/evidence/regression/frozen-five.json)、[封存校验](../../registry/phase4aj-apl-timing/seal-verification.json)。
+- [只读解释指标](../../registry/phase4aj-apl-timing/interpretation-metrics.json)另附 SHA，不修改科学 manifest 或原 publication receipt。
+
+完整事件数据留在服务器；Git 只同步代码、小报告和校验，不是全量异机备份。下一步见 [独立验证计划](phase4aj-next-validation.md)，本阶段没有执行其轨迹，没有训练／条件化、held-out 动态访问、游戏、decoder、RL 或 Web。
diff --git a/docs/progress/phase4aj-next-validation.md b/docs/progress/phase4aj-next-validation.md
new file mode 100644
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+++ b/docs/progress/phase4aj-next-validation.md
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+# Phase 4AJ 后：冻结 D18 的独立验证计划
+
+状态：**待新阶段预注册与执行**。本文件是计划，不是已通过的结果。
+
+Phase 4AJ 固定 CAL 已通过，下一关应检验外推，不能继续扫描 delay/gain 或直接宣称学习可用。
+
+## 固定设计
+
+只使用已封存 D18；动力学、100 ms 窗口、输入编码、APL 算术／队列、符号、CSR、mask 与原判据全部固定。
+
+| 验证块 | 固定输入 | 主运行 | 技术重复 |
+|---|---|---:|---:|
+| 独立种子 | 原 6 个 CAL 气味 × 5 个新 seeds × 2 模式 | 60 | 12 |
+| 校准未用气味 | 静态面板后 6 个气味 × 同 5 个新 seeds × 2 模式 | 60 | 12 |
+
+在任何新脑轨迹之前，锁定两个块的输入、种子、分析、停止规则和 SHA。先完成独立种子块，只有完整通过才解锁第二块；失败就封存，不换 seed／气味重试。第二块固定首气味／首种子的两种模式作新增 Brian 全图对照，不能按结果挑选。
+
+每个“验证块 × 模式”分别通过原六项完整 CAL 门，四项全部通过；不许合并 12 个气味的平均值来挽救失败。逐位技术重复、有限 h 平移／pending、数值完整性和旧冻结回归仍必须通过。重复不是新随机样本；跨气味共享种子用于原配对统计，两块不应描述为独立随机流或生物重复。
+
+## 静态输入与泄漏边界
+
+允许读取原 `phase4l-olfactory-grounding` 的以下静态文件并核对已登记 SHA：
+
+- `odor-encoder/frozen-odor-panel.parquet`
+- `odor-encoder/mapped-glomerular-vectors.npz`
+- `odor-encoder/selection.json`
+- `receptor-mapping/olfactory-mapping.parquet`
+
+原行序、split、气味身份、glomeruli 顺序、PN 映射、RNG 列序和零响应规则保持不变。匹配输入基准继续用全 12 气味静态中位数 `2.556107997894287`，不得对任一六气味子集重算。
+
+禁止提前读取旧 `kc-representation`、整个 12 气味动态输出、`eligible-edges`、`plasticity-magnitude`、`conditioning` 或混合这些结果的综合报告；不能先打开混合表再过滤。静态 A/B 身份也不能用于挑选有利气味替代完整验证块。
+
+旧 4L 代码曾遍历全 12 气味。因此后六个只叫**“未参与 AG/AJ 校准的气味”**，不能说项目历史从未模拟过。新分支验证是对固定新模型的外推测试，不是完全未被研究过的生物样本。
+
+先通过仅配置／输入清单的审计确定新 seed namespace，连同显式派生规则检查重用。`52101–52105` 已在 4Q/4R 使用，`51301–51305` 是旧学习评估种子，`512xx` 存在 train_seed+pairing 派生范围；不指定未经查证的新值，不无依据承诺全历史绝对独立。
+
+## 实现约束与结果范围
+
+旧 AG `validate_inventory` 硬编码原 CAL seeds/IDs，`read_trial` 记录也硬编码 calibration。新阶段须新增明确 cohort 的适配器，复用来源固定的纯指标与数值校验；不能改旧 globals、伪装成原 CAL 或改封存源码。
+
+计划依据：仓库 `models/male-cns-lif/phase4l.py` 的静态编码／原指标（约 149、199、204 行），`phase4p_revalidate.py` 的 PN drive（约 226 行），`author-apl-lab-v2/calibration.py` 的指标／inventory（约 77、96、243、268 行），以及封存的 AG `protocol/encoder-audit.json`。行号仅帮助定位，实际以 SHA 登记版本为准。
+
+即使全部通过，下一关仍是 credit specificity、真实 KC→MBON 功能传递、全脑输出与带控制的 conditioning；不产生 learned candidate，不接游戏、RL 或 decoder。1.8 ms 仍是工程假设，不因此成为实测生物学参数。
diff --git a/models/male-cns-lif/apl-timing-lab-v1/PROTOCOL.md b/models/male-cns-lif/apl-timing-lab-v1/PROTOCOL.md
new file mode 100644
index 0000000..f4bb441
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/PROTOCOL.md
@@ -0,0 +1,72 @@
+# Phase 4AJ: a single graded-APL timing hypothesis
+
+Independent branch authorized by the human. All earlier models and data remain
+read-only. The learning goal remains unmet; neither an audit nor fixed-CAL PASS
+constitutes usable learning.
+
+## Fixed intervention
+
+Use the exact sealed AG author-style float64 LIF and float32 legacy graded APL.
+Compare h applied at its generating tick with the identical generated operator
+applied 18 steps later. No other change: dt=0.1 ms, anatomical delay=18 steps,
+refractory=22 steps, tau_m=20 ms, tau_syn=5 ms, W_syn=0.275 mV, original signs,
+threshold/rest/reset, all canonical IDs/edges, legacy APL tau=20 ms and gain=0.01.
+The unchanged fast-APL zero mask includes 1,212 non-KC edges not replaced by the
+graded operator. The branch does not silently fix this limitation.
+
+This is engineering scheduling parity, not evidence of a measured 1.8 ms graded
+APL delay. Whole h is delayed, including KC feedback; it is not a PN-only
+intervention. APL still subtracts unconditionally at end-of-step, including
+refractory KC, whereas ordinary synaptic arrivals are guarded by refractory.
+Equal arrival time is not equivalent biological action.
+
+## Stages and gates
+
+1. Exact conditional reconstruction of all 420 metadata-defined ALLN in all
+   60 sealed CAL r0 records. Audit every simultaneous earliest non-design PN,
+   before first KC, and duration-matched never-active PN controls. PN→ALLN→PN
+   witnesses must be actual accepted timed edges; distinguish signed weights,
+   reset windows and zeroed edges. No shortest paths, unique-cause or necessity
+   claims. Unknown antecedents are retained and do not falsify numerical audit.
+2. Fixed stored h trace shift audit: no loss, duplication, amplitude arithmetic
+   or brain simulation. Initial +0 padding and chronological unconsumed tail
+   explicitly retained. No extra brain/APL tail advance or future-decay claim.
+3. Both arms: eight fixed real-edge fixtures, three fresh GPU repeats, independent
+   Brian LIF/own spikes/own FIFO, legacy APL component audit. Delay0 must reproduce
+   sealed AG scientific outputs bitwise.
+4. Both arms: the same two fullgraph first-seed CAL probes, independent Brian
+   comparison and APL component audit. Numerical failure stops later execution.
+5. Both arms: every original six-odor × two-mode × five-seed CAL, plus first-seed
+   repeat for each odor/mode. Exact source input files, not regenerated random
+   inputs. All results retained. Known baseline representation failure does not
+   skip treatment; no seed selection, threshold/gain search or gate relaxation.
+6. Recompute comparisons from raw evidence, old checksums and five frozen
+   reference regressions. Seal truthful outcome with SHA-256 and source version.
+
+## Interpretation limits
+
+Generated h depends on changed closed-loop spikes, so branch inhibition integrals
+need not match. Fixed-trace conservation is a transport check, not proof of
+equal closed-loop dose. Accepted request counts can also change with refractory
+state, despite byte-identical requested input schedules.
+
+Brian state integration is independent but APL arithmetic is intentionally a
+shared frozen component. Original operator AST replay and rounding audit remain
+separate; no universal CPU/GPU equivalence is claimed from sampled fixtures.
+
+CAL gate retains original 3–9% mean KC fraction, all-run limits, within/between
+Jaccard and Euclidean gates, and minimum odor-pair count in both input modes.
+Passing fixed CAL is not heldout generalization or associative memory. Further
+progress requires independent seeds/novel odors, credit specificity, isolated and
+whole-brain functional readouts, then conditioning with proper controls.
+
+No training, eta/threshold/sign tuning, plastic mask expansion, heldout dynamic
+access, visual input, decoder, RL, game, Web or new candidate in this experiment.
+
+## Literature scope
+
+Shiu et al. 2024, DOI 10.1038/s41586-024-07763-9, supplies the spiking-LIF
+scheduling reference, not a measured MaleCNS graded-APL delay. Amin et al. 2020,
+DOI 10.7554/eLife.56954, and Prisco et al. 2021 (PMC8741211) motivate local graded
+APL/calyx interaction but do not determine this millisecond delay value. Prior
+sealed source/literature audits retain versions and provenance.
diff --git a/models/male-cns-lif/apl-timing-lab-v1/al_origin_audit.py b/models/male-cns-lif/apl-timing-lab-v1/al_origin_audit.py
new file mode 100644
index 0000000..acd0c85
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/al_origin_audit.py
@@ -0,0 +1,513 @@
+"""Conditional audit of the earliest non-design ALPN cohort in 60 sealed CALs.
+
+CPU only.  No new network trajectory, learning, parameter change, heldout input,
+or shortest-path attribution.  Full ALLN inputs and compact outgoing witnesses
+are retained separately so a potentially large temporal join is not expanded.
+"""
+from __future__ import annotations
+
+from collections import defaultdict
+from pathlib import Path
+import traceback
+
+import numpy as np
+import pandas as pd
+
+N = 166700
+E = 25582938
+DELAY = 18
+BUDGET = 2 * 1024**3
+MODES = ('physiological', 'matched_energy')
+SEEDS = tuple(range(51101, 51106))
+
+
+def require(value, message):
+    if not value:
+        raise ValueError(message)
+
+
+def bit_equal(a, b):
+    return a.dtype == b.dtype and a.shape == b.shape and a.tobytes() == b.tobytes()
+
+
+def first_ticks(ticks, nodes, targets, n=N):
+    first = np.full(n, np.iinfo(np.int32).max, np.int32)
+    np.minimum.at(first, nodes, ticks)
+    first[first == np.iinfo(np.int32).max] = -1
+    return first[targets]
+
+
+def select_cohort(pn, first_pn, design, first_kc, steps):
+    """Static-design complement, ALL ties, never choose by antecedent outcome."""
+    require(pn.dtype == np.int32 and first_pn.dtype == np.int32 and pn.shape == first_pn.shape,
+            'PN identity/first-tick schema mismatch')
+    require(np.all(np.diff(pn) > 0) and np.isin(design, pn).all(), 'Invalid PN/design IDs')
+    require(np.all((first_pn >= -1) & (first_pn < steps)), 'PN first tick outside trial')
+    require(first_kc == -1 or 0 <= first_kc < steps, 'KC first tick outside trial')
+    non_design = ~np.isin(pn, design)
+    observed = first_pn[non_design & (first_pn >= 0)]
+    earliest = int(observed.min()) if len(observed) else -1
+    cohort = pn[non_design & (first_pn == earliest)] if earliest >= 0 else np.empty(0, np.int32)
+    cutoff = int(first_kc) if first_kc >= 0 else int(steps)
+    return dict(cohort=cohort, earliest_tick=earliest, pre_kc_stop_exclusive=cutoff,
+                pre_kc_window_censored=first_kc < 0,
+                matched_stop_exclusive=min(cutoff, earliest) if earliest >= 0 else cutoff,
+                cohort_before_first_KC=bool(earliest >= 0 and first_kc >= 0 and earliest < first_kc),
+                cohort_relation_to_first_KC=('no_non_design_spike' if earliest < 0 else
+                    'KC_unobserved' if first_kc < 0 else 'before' if earliest < first_kc else
+                    'same_tick' if earliest == first_kc else 'after'))
+
+
+def predecessor_counts(incoming_ticks, incoming_weights, source_tick, previous_source_tick):
+    """Strict temporal antecedents.  Old-reset history is reported separately."""
+    ticks, weights = np.asarray(incoming_ticks), np.asarray(incoming_weights)
+    require(ticks.ndim == weights.ndim == 1 and ticks.shape == weights.shape,
+            'Predecessor arrays differ')
+    require(np.isfinite(weights).all() and np.all(np.diff(ticks) >= 0), 'Bad predecessor sequence')
+    require(-1 <= previous_source_tick < source_tick, 'Bad previous/source spike order')
+    prior = ticks < source_tick
+    surviving = prior & (ticks > previous_source_tick)
+    return dict(all_prior_design_PN_events=int(prior.sum()),
+        since_last_reset_design_PN_events=int(surviving.sum()),
+        since_last_reset_nonzero_design_PN_events=int(np.count_nonzero(surviving & (weights != 0))),
+        since_last_reset_positive_events=int(np.count_nonzero(surviving & (weights > 0))),
+        since_last_reset_negative_events=int(np.count_nonzero(surviving & (weights < 0))),
+        since_last_reset_zero_events=int(np.count_nonzero(surviving & (weights == 0))),
+        since_last_reset_positive_weight_SI=float(np.maximum(weights[surviving], 0).sum(dtype=np.longdouble)),
+        since_last_reset_negative_abs_weight_SI=float(np.maximum(-weights[surviving], 0).sum(dtype=np.longdouble)),
+        prior_reset_excluded_events=int(np.count_nonzero(prior & ~surviving)))
+
+
+def source_labels(global_ids, role, design_mask):
+    result = role[global_ids].astype(object).copy()
+    alpn = result == 'ALPN'
+    result[alpn & design_mask[global_ids]] = 'design_ALPN'
+    result[alpn & ~design_mask[global_ids]] = 'non_design_ALPN'
+    return result
+
+
+def file_budget(root):
+    size = sum(p.stat().st_size for p in root.rglob('*') if p.is_file())
+    require(size <= BUDGET, 'Origin audit exceeds 2 GiB; no truncation/resampling allowed')
+    return size
+
+
+class Sink:
+    def __init__(self, path, schema, budget_root):
+        import pyarrow.parquet as pq
+        require(not path.exists(), 'Output exists: ' + str(path))
+        self.writer = pq.ParquetWriter(path, schema, compression='zstd')
+        self.schema, self.rows, self.root = schema, 0, budget_root
+
+    def write(self, columns):
+        import pyarrow as pa
+        table = pa.Table.from_pydict(columns, schema=self.schema)
+        if table.num_rows:
+            self.writer.write_table(table)
+            self.rows += table.num_rows
+            file_budget(self.root)
+
+    def close(self):
+        self.writer.close()
+        file_budget(self.root)
+
+
+def event_schema():
+    import pyarrow as pa
+    return pa.schema([
+    ('edge_id', pa.int64()), ('source_neuron_idx', pa.int32()), ('target_neuron_idx', pa.int32()),
+    ('source_body_id', pa.uint64()), ('target_body_id', pa.uint64()),
+    ('source_spike_tick', pa.int32()), ('arrival_tick', pa.int32()),
+    ('source_event_key', pa.int64()), ('weight_SI', pa.float64()), ('weight_sign', pa.int32()),
+    ('source_group', pa.string()), ('accepted', pa.bool_()), ('ref_at_arrival', pa.int32()),
+    ('target_previous_spike_tick', pa.int32()), ('before_first_any_KC', pa.bool_())])
+
+
+class ALLNObserver:
+    """Save every accepted incoming event, including frozen-zero edges."""
+    def __init__(self, targets, incoming, role, design_mask, body, steps, cutoff, sink):
+        self.targets, self.incoming = targets, incoming
+        self.role, self.design, self.body = role, design_mask, body
+        self.steps, self.cutoff, self.sink = steps, cutoff, sink
+        self.last = np.full(len(targets), -1, np.int32)
+        self.callbacks = self.due = self.accepted = self.rejected = 0
+        self.groups = defaultdict(lambda: dict(due=0, accepted=0, rejected=0, positive=0, negative=0, zero=0))
+        self.design_ticks = defaultdict(list)
+        self.design_weights = defaultdict(list)
+
+    def __call__(self, tick, stage):
+        require(tick == self.callbacks and tick < self.steps, 'ALLN callback coverage mismatch')
+        require(np.all(stage['h32'] == 0) and np.all(stage['delta_si'] == 0), 'ALLN received graded APL')
+        require(not np.any(stage['request']), 'CAL request targeted ALLN rather than PN')
+        require(bit_equal(stage['g'], stage['g_pre_apl']), 'Unexpected ALLN post-APL change')
+        due, accepted = stage['due_edge_indices'], stage['arrival_accepted']
+        require(np.array_equal(accepted, stage['ref_after_reset'][self.incoming.dst_local[due]] == 0),
+                'ALLN arrival acceptance differs from post-reset ref guard')
+        require(tick >= DELAY or not len(due), 'Premature ALLN event')
+        self.last[stage['fired']] = tick
+        labels = source_labels(self.incoming.src_global[due], self.role, self.design)
+        weight = self.incoming.weights[due]
+        for label in np.unique(labels):
+            mask = labels == label
+            item = self.groups[str(label)]
+            item['due'] += int(mask.sum())
+            item['accepted'] += int(np.count_nonzero(mask & accepted))
+            item['rejected'] += int(np.count_nonzero(mask & ~accepted))
+            for name, select in (('positive', weight > 0), ('negative', weight < 0), ('zero', weight == 0)):
+                item[name] += int(np.count_nonzero(mask & accepted & select))
+        selected = due[accepted]
+        src = self.incoming.src_global[selected]
+        local = self.incoming.dst_local[selected]
+        dst = self.targets[local]
+        w = self.incoming.weights[selected]
+        selected_labels = labels[accepted]
+        count = len(selected)
+        self.sink.write(dict(edge_id=self.incoming.edge_id[selected], source_neuron_idx=src,
+            target_neuron_idx=dst, source_body_id=self.body[src], target_body_id=self.body[dst],
+            source_spike_tick=np.full(count, tick - DELAY, np.int32),
+            arrival_tick=np.full(count, tick, np.int32),
+            source_event_key=np.int64(tick - DELAY) * N + src.astype(np.int64),
+            weight_SI=w, weight_sign=np.sign(w).astype(np.int32), source_group=selected_labels,
+            accepted=np.ones(count, bool), ref_at_arrival=stage['ref_after_reset'][local],
+            target_previous_spike_tick=self.last[local], before_first_any_KC=np.full(count, tick < self.cutoff, bool)))
+        # At most all accepted design-PN events are retained in RAM.  Full event
+        # rows are already streamed; this compact index never expands path pairs.
+        for target in np.unique(dst[selected_labels == 'design_ALPN']):
+            mask = (dst == target) & (selected_labels == 'design_ALPN')
+            self.design_ticks[int(target)].extend([tick] * int(mask.sum()))
+            self.design_weights[int(target)].extend(w[mask].tolist())
+        self.callbacks += 1
+        self.due += len(due)
+        self.accepted += count
+        self.rejected += int(np.count_nonzero(~accepted))
+
+    def report(self):
+        require(self.callbacks == self.steps and self.due == self.accepted + self.rejected,
+                'Incomplete ALLN replay observer')
+        require(self.accepted == self.sink.rows, 'ALLN event sink row mismatch')
+        return dict(callbacks=self.callbacks, ALLN_targets=len(self.targets), due_events=self.due,
+                    accepted_events=self.accepted, rejected_events=self.rejected,
+                    source_groups=dict(self.groups), graded_APL_h_zero=True,
+                    accepted_zero_weight_rows_preserved=True)
+
+
+def _window_add(stats, frame, mask, labels):
+    for label in np.unique(labels[mask]):
+        chosen = mask & (labels == label)
+        weights = frame.weight_SI.to_numpy()[chosen]
+        item = stats.setdefault(str(label), dict(events=0, positive_events=0, negative_events=0,
+                     positive_weight_SI=0.0, negative_abs_weight_SI=0.0))
+        item['events'] += len(weights)
+        item['positive_events'] += int(np.count_nonzero(weights > 0))
+        item['negative_events'] += int(np.count_nonzero(weights < 0))
+        item['positive_weight_SI'] += float(np.maximum(weights, 0).sum(dtype=np.longdouble))
+        item['negative_abs_weight_SI'] += float(np.maximum(-weights, 0).sum(dtype=np.longdouble))
+
+
+def _read_npz(path):
+    with np.load(path, allow_pickle=False) as file:
+        return {key: file[key].copy() for key in file.files}
+
+
+def main():
+    # Lazy import makes all selection/join helpers testable without a server.
+    import pyarrow as pa
+    import pyarrow.parquet as pq
+    from context import (ROOT, EXP, AG, AG_MODEL, AI, AI_MODEL, AH_MODEL, COEFF,
+                         load_module, read, save, digest, check)
+    check()
+    require(read(AI / 'audit/final-status.json')['status'] == 'PASS-CONDITIONAL-PN-APL-SOURCE-AUDIT',
+            'AI is not successfully sealed')
+    require(read(AI / 'audit/final-status.json')['pass_all'] is True, 'AI seal failed')
+    outroot = EXP / 'origin-audit'
+    outroot.mkdir(parents=True, exist_ok=False)
+    receipts = []
+    try:
+        sealed_roots = (AI, AI_MODEL, AG, AG_MODEL, AH_MODEL)
+        sealed_inventory = {root: {r['path']: r for r in read(root / 'manifest.json')['files']}
+                            for root in sealed_roots}
+        verified_hashes = {}
+        def input_hash(path):
+            path = Path(path)
+            if path in verified_hashes:
+                return verified_hashes[path]
+            actual = digest(path)
+            for root in sealed_roots:
+                if path.is_relative_to(root) and path.name not in ('manifest.json', 'checksums.sha256'):
+                    key = path.relative_to(root).as_posix()
+                    require(key in sealed_inventory[root], 'Input absent from frozen seal: ' + str(path))
+                    frozen = sealed_inventory[root][key]
+                    require(actual == frozen['sha256'] and path.stat().st_size == frozen['bytes'],
+                            'Input differs from sealed digest/bytes: ' + str(path))
+                    break
+            verified_hashes[path] = actual
+            return actual
+        # Verify entry-point metadata and code before importing the frozen code.
+        for path in (AI / 'protocol/inventory.json', AI / 'protocol/neuron-source-groups.parquet',
+                     AG / 'protocol/calibration-cases.json', AH_MODEL / 'replay_core.py',
+                     AI_MODEL / 'validate_events.py', AG_MODEL / 'calibration.py'):
+            input_hash(path)
+        inventory = [row for row in read(AI / 'protocol/inventory.json')
+                     if row['kind'] == 'calibration' and row['repeat'] == 0]
+        require(len(inventory) == 60 and len({r['case'] for r in inventory}) == 60,
+                'Expected exactly the fixed 60 distinct CAL r0 inputs')
+        reference_cases = read(AG / 'protocol/calibration-cases.json')
+        require({r['case'] for r in inventory} == {r['name'] for r in reference_cases},
+                'AI CAL inventory differs from AG CAL inventory')
+        specifications = {r['case']: read(AG / 'cases' / r['case'] / 'spec.json') for r in inventory}
+        cells = {(s['mode'], s['odor_id'], s['seed']) for s in specifications.values()}
+        odors = sorted({s['odor_id'] for s in specifications.values()})
+        require(len(odors) == 6 and cells == {(m, o, seed) for m in MODES for o in odors for seed in SEEDS},
+                'CAL identity grid incomplete or includes repeats/heldout')
+        meta_path = AI / 'protocol/neuron-source-groups.parquet'
+        meta = pd.read_parquet(meta_path)
+        require(len(meta) == N and np.array_equal(meta.neuron_idx.to_numpy(), np.arange(N)),
+                'Metadata global identity mismatch')
+        require(meta.audit_source_group.notna().all() and meta.body_id.dtype == np.uint64,
+                'Invalid frozen role/body metadata')
+        role, body = meta.audit_source_group.to_numpy(), meta.body_id.to_numpy()
+        alln = np.flatnonzero(role == 'ALLN').astype(np.int32)
+        pn = np.load(AG / 'apl-bundle/pn_globals.npy')
+        kc = np.load(AG / 'apl-bundle/kc_globals.npy')
+        apl = np.load(AG / 'apl-bundle/apl_globals.npy')
+        require(len(alln) == 420 and len(pn) == 686 and len(kc) == 4064 and len(apl) == 2,
+                'Frozen role population sizes differ')
+        require(np.array_equal(pn, np.flatnonzero(role == 'ALPN').astype(np.int32)), 'ALPN role IDs differ')
+        require((meta.iloc[alln].annotation_class == 'ALLN').all(), 'ALLN role is not exact annotation class')
+        graph = AG / 'graphs/full'
+        arrays = {k: np.load(graph / (k + '.npy'), mmap_mode='r')
+                  for k in ('nodes', 'src', 'dst', 'edge_id', 'weights')}
+        require(bit_equal(arrays['nodes'], np.arange(N, dtype=np.int32)), 'Full graph global node order differs')
+        require(len(arrays['edge_id']) == E, 'Full graph edge count differs')
+        for start in range(0, E, 1000000):
+            stop = min(E, start + 1000000)
+            require(np.array_equal(arrays['edge_id'][start:stop], np.arange(start, stop, dtype=np.int64)),
+                    'Full graph edge IDs not canonical identity')
+        core = load_module('frozen_ah_alln_replay_aj', AH_MODEL / 'replay_core.py')
+        validate = load_module('sealed_ai_event_validation_aj', AI_MODEL / 'validate_events.py')
+        cal = load_module('sealed_ag_state_validation_aj', AG_MODEL / 'calibration.py')
+        lookup = np.full(N, -1, np.int32)
+        lookup[alln] = np.arange(len(alln), dtype=np.int32)
+        selected = np.flatnonzero(lookup[arrays['dst']] >= 0)
+        src = arrays['src'][selected]
+        weights = arrays['weights'][selected].copy()
+        weights[np.isin(src, apl)] = 0.0
+        incoming = core.IncomingIndex(src, lookup[arrays['dst'][selected]], arrays['edge_id'][selected], weights, len(alln))
+        # Only incoming PN graph views are required to independently validate AI rows.
+        pnedges = np.flatnonzero(np.isin(arrays['dst'], pn))
+        pnweights = arrays['weights'][pnedges].copy()
+        pnweights[np.isin(arrays['src'][pnedges], apl)] = 0.0
+        shared_inputs = [meta_path, COEFF, AH_MODEL / 'replay_core.py', AI_MODEL / 'validate_events.py',
+                         AG_MODEL / 'calibration.py', AI / 'manifest.json', AI / 'checksums.sha256',
+                         AG / 'manifest.json', AG / 'checksums.sha256']
+        shared_inputs += [graph / (key + '.npy') for key in arrays]
+        shared_inputs += [AG / 'apl-bundle' / (name + '_globals.npy') for name in ('pn', 'kc', 'apl')]
+        save(outroot / 'shared-inputs.json', [dict(path=str(p.relative_to(ROOT)), bytes=p.stat().st_size,
+                                               sha256=input_hash(p)) for p in shared_inputs])
+        save(outroot / 'inventory.json', [dict(**r, mode=specifications[r['case']]['mode'],
+             odor_id=specifications[r['case']]['odor_id'], seed=specifications[r['case']]['seed']) for r in inventory])
+        for row in inventory:
+            name = row['case']
+            require(Path(name).name == name and '/' not in name and '\\' not in name, 'Invalid case path')
+            case = AG / 'cases' / name
+            source = AG / 'gpu' / (name + '-r0')
+            require(ROOT / row['source'] == source, 'Inventory source differs from fixed CAL r0 source')
+            previous = AI / 'trials' / (name + '-r0')
+            dest = outroot / name
+            dest.mkdir(exist_ok=False)
+            spec = specifications[name]
+            for path in (source / 'state.npz', source / 'summary.json', case / 'spec.json', case / 'requests.npz',
+                         case / 'pn-drive.npz', previous / 'accepted-prefirst-edge-events.parquet',
+                         previous / 'per-pn.parquet', previous / 'summary.json'):
+                input_hash(path)
+            require(spec['steps'] == 1000 and spec['duration_ms'] == 100.0, 'CAL duration changed')
+            require(not (case / 'arrays.npz').exists(), 'Unexpected CAL initial-state override')
+            source_summary = read(source / 'summary.json')
+            require(source_summary['complete'] is True and source_summary['completed_ticks'] == spec['steps'],
+                    'Incomplete source simulation')
+            ai_summary = read(previous / 'summary.json')
+            require(ai_summary['pass_all'] is True and all(ai_summary['exact'].values()), 'AI exactness failed')
+            state = _read_npz(source / 'state.npz')
+            event_keys = cal.validate_state(state, N, spec['steps'])
+            requests = _read_npz(case / 'requests.npz')
+            drive = _read_npz(case / 'pn-drive.npz')
+            design = np.sort(drive['targets'])
+            require(design.dtype == np.int32 and len(np.unique(design)) == len(design) and
+                    np.isin(design, pn).all(), 'Design identities invalid')
+            require(len(design) == spec['target_count'] and drive['rates_hz'].dtype == np.float32 and
+                    drive['rates_hz'].shape == design.shape and np.all(drive['rates_hz'] > 0),
+                    'Static PN design count/rate schema differs')
+            require(np.isin(requests['neuron_idx'], design).all(), 'Request outside static odor design')
+            design_mask = np.zeros(N, bool)
+            design_mask[design] = True
+            first_pn = first_ticks(state['step'], state['neuron_idx'], pn)
+            observed_kc = first_ticks(state['step'], state['neuron_idx'], kc)
+            first_kc = int(observed_kc[observed_kc >= 0].min()) if np.any(observed_kc >= 0) else -1
+            selection = select_cohort(pn, first_pn, design, first_kc, spec['steps'])
+            cohort = selection.pop('cohort')
+            cohort_mask = np.zeros(N, bool)
+            cohort_mask[cohort] = True
+            never_mask = np.zeros(N, bool)
+            never_mask[pn[first_pn < 0]] = True
+            saved_pn = pd.read_parquet(previous / 'per-pn.parquet')
+            require(np.array_equal(saved_pn.neuron_idx, pn) and np.array_equal(saved_pn.first_spike_tick, first_pn),
+                    'Sealed AI PN first-spike identity mismatch')
+            cutoff = selection['pre_kc_stop_exclusive']
+            window_stats = {key: {} for key in ('cohort_pre_KC_and_pre_first', 'never_active_pre_KC',
+                'never_active_non_design_pre_KC', 'never_active_matched_cohort_window',
+                'never_active_non_design_matched_cohort_window')}
+            outgoing_chunks = []
+            cohort_chunks = []
+            rows_seen, previous_event_key = 0, -1
+            counts_per_pn = np.zeros(len(pn), np.int64)
+            for batch in pq.ParquetFile(previous / 'accepted-prefirst-edge-events.parquet').iter_batches(batch_size=65536):
+                frame = batch.to_pandas()
+                columns = {k: frame[k].to_numpy() for k in validate.COLUMN_DTYPES}
+                audit = validate.validate_batch(columns, edge_ids=arrays['edge_id'][pnedges],
+                    srcglobals=arrays['src'][pnedges], dstglobals=arrays['dst'][pnedges], weights=pnweights,
+                    target_globals=pn, target_first=first_pn, source_event_keys=event_keys)
+                key = frame.arrival_tick.to_numpy().astype(np.int64) * E + frame.edge_id.to_numpy()
+                require(not len(key) or (key[0] > previous_event_key and np.all(np.diff(key) > 0)),
+                        'AI event order/uniqueness violated across batches')
+                if len(key):
+                    previous_event_key = int(key[-1])
+                require(np.all(frame.arrival_tick.to_numpy() < spec['steps']), 'AI event beyond trial')
+                labels = source_labels(frame.source_neuron_idx.to_numpy(), role, design_mask)
+                require(np.array_equal(frame.source_group, role[frame.source_neuron_idx.to_numpy()]), 'AI source role differs')
+                require(np.array_equal(frame.target_is_design, design_mask[frame.target_neuron_idx.to_numpy()]),
+                        'AI target design differs')
+                targets = frame.target_neuron_idx.to_numpy()
+                pre = frame.arrival_tick.to_numpy() < cutoff
+                matched = frame.arrival_tick.to_numpy() < selection['matched_stop_exclusive']
+                cohort_sel = cohort_mask[targets] & pre
+                masks = dict(cohort_pre_KC_and_pre_first=cohort_sel,
+                    never_active_pre_KC=never_mask[targets] & pre,
+                    never_active_non_design_pre_KC=never_mask[targets] & ~design_mask[targets] & pre,
+                    never_active_matched_cohort_window=never_mask[targets] & matched,
+                    never_active_non_design_matched_cohort_window=never_mask[targets] & ~design_mask[targets] & matched)
+                for key, mask in masks.items():
+                    _window_add(window_stats[key], frame, mask, labels)
+                # The fixed earliest cohort normally makes these small, but the
+                # on-disk ceiling remains hard and no row may be sampled away.
+                if np.any(cohort_sel):
+                    selected_frame = frame.loc[cohort_sel].copy()
+                    selected_frame['audit_source_group'] = labels[cohort_sel]
+                    cohort_chunks.append(selected_frame)
+                    out_sel = cohort_sel & (role[frame.source_neuron_idx.to_numpy()] == 'ALLN')
+                    if np.any(out_sel):
+                        outgoing_chunks.append(frame.loc[out_sel].copy())
+                counts_per_pn += audit['per_target_count']
+                rows_seen += audit['count']
+            require(rows_seen == ai_summary['observer']['first_arrival_record_count'], 'AI antecedent rows incomplete')
+            require(np.array_equal(counts_per_pn, saved_pn[[g + '_accepted_nonzero_before_first_edges'
+                    for g in ai_summary['observer']['source_group_names']]].sum(axis=1).to_numpy()),
+                    'AI per-PN antecedent completeness differs')
+            saved_event_schema = pq.ParquetFile(previous / 'accepted-prefirst-edge-events.parquet').schema_arrow
+            cohort_table = (pd.concat(cohort_chunks, ignore_index=True) if cohort_chunks else
+                pa.Table.from_batches([], schema=saved_event_schema).to_pandas().assign(audit_source_group=pd.Series(dtype=str)))
+            cohort_table.to_parquet(dest / 'cohort-all-source-antecedents.parquet', index=False, compression='zstd')
+            output = (pd.concat(outgoing_chunks, ignore_index=True) if outgoing_chunks else
+                      pa.Table.from_batches([], schema=saved_event_schema).to_pandas())
+            sink = Sink(dest / 'ALLN-all-accepted-incoming.parquet', event_schema(), outroot)
+            observer = ALLNObserver(alln, incoming, role, design_mask, body, spec['steps'], cutoff, sink)
+            try:
+                result = core.replay(np.full(len(alln), spec['model']['resting_potential_mv'], np.float64) * np.float64(.001),
+                    np.zeros(len(alln), np.float64), read(COEFF), spec['steps'], alln, requests,
+                    dict(step=state['step'], neuron_idx=state['neuron_idx']), incoming,
+                    np.zeros((spec['steps'], len(alln)), np.float32), observer)
+            finally:
+                sink.close()
+            observed = np.isin(state['neuron_idx'], alln)
+            exact = {k: bit_equal(result[k], state[k][alln]) for k in ('v', 'g', 'ref', 'counts')}
+            exact.update({k: bit_equal(result[k], state[k][observed]) for k in ('step', 'neuron_idx')})
+            require(all(exact.values()), 'Conditional ALLN replay differs from full AG events/final states: ' + str(exact))
+            with (dest / 'ALLN-replay-final.npz').open('xb') as stream:
+                np.savez_compressed(stream, **result)
+            join_rows = []
+            alln_source_spikes = {int(node): state['step'][state['neuron_idx'] == node]
+                                  for node in np.unique(output.source_neuron_idx.to_numpy())}
+            for record in output.to_dict('records'):
+                target = int(record['source_neuron_idx'])  # Intermediate ALLN.
+                tick = int(record['source_spike_tick'])
+                spikes = alln_source_spikes[target]
+                pos = int(np.searchsorted(spikes, tick))
+                require(pos < len(spikes) and spikes[pos] == tick, 'ALLN outgoing source event absent')
+                last = int(spikes[pos - 1]) if pos else -1
+                predecessors = predecessor_counts(np.asarray(observer.design_ticks[target], np.int32),
+                    np.asarray(observer.design_weights[target], np.float64), tick, last)
+                join_rows.append(dict(**record, ALLN_previous_spike_tick=last,
+                    ALLN_source_event_key=tick * N + target, source_body_id=int(body[target]),
+                    target_body_id=int(body[int(record['target_neuron_idx'])]), **predecessors,
+                    witness_status=('timed_design_PN_antecedent_since_last_reset' if
+                        predecessors['since_last_reset_nonzero_design_PN_events'] else 'no_direct_design_PN_antecedent_since_last_reset')))
+            # Add declared columns even if the fixed cohort has no ALLN antecedent.
+            join_extra = dict(ALLN_previous_spike_tick='int32', ALLN_source_event_key='int64',
+                source_body_id='uint64', target_body_id='uint64', all_prior_design_PN_events='int64',
+                since_last_reset_design_PN_events='int64', since_last_reset_positive_events='int64',
+                since_last_reset_nonzero_design_PN_events='int64',
+                since_last_reset_negative_events='int64', since_last_reset_zero_events='int64',
+                since_last_reset_positive_weight_SI='float64', since_last_reset_negative_abs_weight_SI='float64',
+                prior_reset_excluded_events='int64', witness_status='object')
+            witnesses = pd.DataFrame(join_rows) if join_rows else output.copy()
+            for key, dtype in join_extra.items():
+                witnesses[key] = witnesses[key].astype(dtype) if key in witnesses else pd.Series(dtype=dtype)
+            witnesses.to_parquet(dest / 'ALLN-to-cohort-PN-witness-join.parquet', index=False, compression='zstd')
+            per_pn = meta.iloc[pn].copy()
+            per_pn['first_spike_tick'] = first_pn
+            per_pn['design_target'] = design_mask[pn]
+            per_pn['earliest_non_design_cohort'] = cohort_mask[pn]
+            per_pn['never_active'] = first_pn < 0
+            per_pn.to_parquet(dest / 'PN-population-and-cohort.parquet', index=False, compression='zstd')
+            per_alln = meta.iloc[alln].copy()
+            per_alln['first_spike_tick'] = result['first_spike']
+            per_alln['spike_count'] = result['counts']
+            per_alln.to_parquet(dest / 'ALLN-population.parquet', index=False, compression='zstd')
+            witness_rows = int((witnesses.since_last_reset_nonzero_design_PN_events > 0).sum())
+            inputs = [source / 'state.npz', source / 'summary.json', case / 'spec.json', case / 'requests.npz',
+                      case / 'pn-drive.npz', previous / 'accepted-prefirst-edge-events.parquet',
+                      previous / 'per-pn.parquet', previous / 'summary.json']
+            report = dict(case=name, repeat=0, mode=spec['mode'], odor_id=spec['odor_id'], seed=spec['seed'],
+                pass_all=True, exact=exact, ALLN_replay=observer.report(), first_any_KC_tick=first_kc,
+                **selection, cohort_neurons=int(len(cohort)), cohort_neuron_idx=cohort.tolist(),
+                cohort_body_id=[int(x) for x in body[cohort]], never_active_PN=int(never_mask.sum()),
+                never_active_non_design_PN=int(np.count_nonzero(never_mask & ~design_mask)),
+                window_source_accounting=window_stats, AI_antecedent_rows_checked=rows_seen,
+                cohort_ALLN_outgoing_events=len(output), outgoing_events_with_since_reset_design_antecedent=witness_rows,
+                outgoing_events_without_since_reset_design_antecedent=len(output) - witness_rows,
+                compact_join_pair_count=int(witnesses.since_last_reset_nonzero_design_PN_events.sum()),
+                no_direct_antecedent_is_not_unexplained_wholebrain=True,
+                join_contract='same trial; incoming.target_neuron_idx=outgoing.source_neuron_idx; incoming.source_group=design_ALPN; '
+                    'incoming.weight_SI != 0; '
+                    'outgoing.ALLN_previous_spike_tick < incoming.arrival_tick < outgoing.source_spike_tick; '
+                    'outgoing.arrival_tick < cohort first spike and first-any-KC cutoff; both legs exactly 18 ticks; '
+                    'all incoming rows accepted at ref=0; signs retained; zero legs not causal transmission',
+                accounting_scope='Accepted nominal SI weight sums, not membrane contribution, necessity or unique cause; '
+                    'prior-reset antecedents retained only as history; since-reset nonzero weights can still cancel/round away',
+                window_scope='Cohort first-spike antecedents are censored at their first spike; never-active pre-KC windows are longer. '
+                    'Use matched_cohort_window for duration-matched comparisons. If KC never fires, full trial is marked censored.',
+                new_brain_simulation=False, GPU_used=False, candidate_generated=False,
+                CAL_independent_ALLN_per_tick_history_available=False,
+                input_sha256={str(p.relative_to(ROOT)): input_hash(p) for p in inputs})
+            save(dest / 'summary.json', report)
+            save(dest / 'output-hashes.json', [dict(path=p.name, bytes=p.stat().st_size, sha256=digest(p))
+                 for p in sorted(dest.iterdir()) if p.is_file()])
+            receipts.append(dict(case=name, repeat=0, mode=spec['mode'], odor_id=spec['odor_id'],
+                seed=spec['seed'], ALLN_targets=420, exact=exact, pass_all=True,
+                summary_sha256=digest(dest / 'summary.json')))
+            file_budget(outroot)
+            print(name, '420 ALLN conditional exact; earliest cohort', len(cohort), 'PASS', flush=True)
+        require(len(receipts) == 60, 'Incomplete origin audit inventory')
+        save(outroot / 'summary.json', dict(pass_all=True, status='PASS-CONDITIONAL-EARLIEST-AL-ORIGIN-AUDIT',
+            trials=receipts, fixed_CAL_r0_count=60, ALLN_per_trial=420, new_brain_simulation=False,
+            GPU_used=False, no_cartesian_witness_expansion=True, truncated=False,
+            unique_cause_proven=False, necessity_proven=False, output_budget_bytes=BUDGET,
+            meaning='Exact conditional ALLN reconstruction and timed anatomical antecedent audit, not a biological causal gate'))
+        file_budget(outroot)
+    except Exception as error:
+        save(outroot / 'failure.json', dict(pass_all=False, error=type(error).__name__, message=str(error),
+            traceback=traceback.format_exc(), completed=receipts, new_brain_simulation=False))
+        raise
+
+
+if __name__ == '__main__':
+    main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/calibration.py b/models/male-cns-lif/apl-timing-lab-v1/calibration.py
new file mode 100644
index 0000000..5804492
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/calibration.py
@@ -0,0 +1,368 @@
+"""Read-only two-arm CAL aggregation using the sealed, full original 4L gate.
+
+No trajectory is generated here.  Representation failure never selects an arm
+or suppresses the other arm.  Timing checks use direct slices, not either
+runtime's queue, and old scientific outputs are never modified.
+"""
+from __future__ import annotations
+
+import csv
+import hashlib
+import importlib.util
+import json
+from pathlib import Path
+import sys
+
+import numpy as np
+
+
+LEGACY_SHA256 = "edb9cb2d890471fd07afd88c959ef3540b0cd40af490fac3f26396b5e7f5bf9c"
+STATE_DTYPES = {"step": np.int32, "neuron_idx": np.int32, "counts": np.int32,
+                "v": np.float64, "g": np.float64, "ref": np.int32}
+APL_FILES = {"apl-drive.float32.npy": 2, "apl-state.float32.npy": 2,
+             "apl-inhibition.float32.npy": 4064}
+REQUEST_FIELDS = ("tick", "neuron_idx", "attempted", "accepted", "rejected")
+_DEFAULT_OUTPUT = object()
+
+
+def require(ok, message):
+    if not ok:
+        raise ValueError(message)
+
+
+def read_json(path):
+    return json.loads(Path(path).read_text(encoding="utf-8"))
+
+
+def file_hash(path):
+    value = hashlib.sha256()
+    with Path(path).open("rb") as stream:
+        for block in iter(lambda: stream.read(8 << 20), b""):
+            value.update(block)
+    return value.hexdigest()
+
+
+def raw_hash(value):
+    return hashlib.sha256(np.ascontiguousarray(value).tobytes()).hexdigest()
+
+
+def bit_equal(a, b):
+    return bool(a.dtype == b.dtype and a.shape == b.shape and
+                np.array_equal(np.ascontiguousarray(a).view(np.uint8),
+                               np.ascontiguousarray(b).view(np.uint8)))
+
+
+def load_legacy(path=None):
+    """Load the sealed pure functions, without rebinding any old global/path."""
+    if path is None:
+        from context import AG_MODEL
+        path = AG_MODEL / "calibration.py"
+    path = Path(path)
+    require(file_hash(path) == LEGACY_SHA256, "Sealed AG calibration source changed")
+    spec = importlib.util.spec_from_file_location("sealed_ag_calibration_for_aj", path)
+    module = importlib.util.module_from_spec(spec)
+    sys.modules[spec.name] = module
+    spec.loader.exec_module(module)
+    return module
+
+
+def _jsonl(path):
+    with Path(path).open(encoding="utf-8") as stream:
+        return [json.loads(line) for line in stream if line.strip()]
+
+
+def _request_rows(path):
+    with Path(path).open(encoding="utf-8", newline="") as stream:
+        reader = csv.DictReader(stream)
+        require(tuple(reader.fieldnames or ()) == REQUEST_FIELDS, "Request schema mismatch")
+        return [{key: int(row[key]) for key in REQUEST_FIELDS} for row in reader]
+
+
+def _component(directory):
+    gpu, oracle = directory / "apl-component.json", directory / "apl-worker-handshake.json"
+    require(gpu.is_file() != oracle.is_file(), "Exactly one backend APL provenance file is required")
+    return read_json(gpu) if gpu.is_file() else read_json(oracle)["handshake"]
+
+
+def control_identity(newdir, olddir, case):
+    """Compare delay0 scientific evidence with sealed AG, for fixtures or CAL.
+
+case is the NEW case directory.  Summary paths, budgets, build/wall times and
+new adapter metadata are deliberately not compared.  Missing evidence raises;
+numerical differences return pass_all=False with each failed check retained.
+"""
+    newdir, olddir, case = Path(newdir), Path(olddir), Path(case)
+    spec = read_json(case / "spec.json")
+    require(type(spec.get("apl_delay_steps")) is int and spec["apl_delay_steps"] == 0,
+            "Control identity is defined only for explicit delay0")
+    fresh, old = read_json(newdir / "summary.json"), read_json(olddir / "summary.json")
+    require(all(row.get("complete") is True and row.get("pass_all") is True for row in (fresh, old)),
+            "Cannot compare incomplete/failed control evidence")
+    require(all(row.get("steps") == spec["steps"] and row.get("completed_ticks") == spec["steps"] and
+                row.get("case", row.get("name")) == spec["name"] for row in (fresh, old)),
+            "Control case identity/completion changed")
+    checks = {}
+    with np.load(newdir / "state.npz", allow_pickle=False) as aa, np.load(olddir / "state.npz", allow_pickle=False) as bb:
+        require(set(aa.files) == set(bb.files) == set(STATE_DTYPES), "Control state schema mismatch")
+        for name, dtype in STATE_DTYPES.items():
+            first, second = aa[name], bb[name]
+            require(first.dtype == second.dtype == dtype and first.ndim == second.ndim == 1 and
+                    np.isfinite(first).all() and np.isfinite(second).all(), "Invalid control state: " + name)
+            checks["state/" + name] = bit_equal(first, second)
+    for name, width in APL_FILES.items():
+        first, second = (np.load(folder / name, mmap_mode="r", allow_pickle=False) for folder in (newdir, olddir))
+        require(first.dtype == second.dtype == np.float32 and first.shape == second.shape == (spec["steps"], width)
+                and np.isfinite(first).all() and np.isfinite(second).all(), "Invalid control APL trace: " + name)
+        checks[name] = bit_equal(first, second)
+    for name in ("tick-state-hashes.jsonl", "queue.jsonl"):
+        first, second = _jsonl(newdir / name), _jsonl(olddir / name)
+        require(len(first) == len(second) == spec["steps"] and all(
+            [row.get("tick") for row in rows] == list(range(spec["steps"])) for rows in (first, second)),
+            "Incomplete control tick record: " + name)
+        checks[name] = first == second
+    checks["requests.csv"] = _request_rows(newdir / "requests.csv") == _request_rows(olddir / "requests.csv")
+    checks["APL_component"] = _component(newdir) == _component(olddir)
+    require(isinstance(old.get("effective_weights_raw_sha256"), str) and
+            len(old["effective_weights_raw_sha256"]) == 64, "Missing old effective-weight evidence")
+    checks["effective_weights_raw_sha256"] = fresh.get("effective_weights_raw_sha256") == old["effective_weights_raw_sha256"]
+    for key in ("nodes", "edges", "precision", "apl_fast_edges_zeroed", "kc_targets_present"):
+        require(key in fresh and key in old, "Missing control summary scientific field: " + key)
+        checks["summary/" + key] = fresh[key] == old[key]
+    if spec["record_history"]:
+        for prefix in ("", "preAPL-"):
+            for field, dtype in (("v", "float64"), ("g", "float64"), ("ref", "int32")):
+                name = f"{prefix}{field}-history.{dtype}.npy" if not prefix else f"{prefix}{field}.{dtype}.npy"
+                first, second = (np.load(folder / name, mmap_mode="r", allow_pickle=False) for folder in (newdir, olddir))
+                checks[name] = bit_equal(first, second)
+    # CPU oracle also saves actual effective Brian weights. GPU has only the
+    # raw effective-weight digest, already compared above.
+    if (newdir / "weights.npy").exists() or (olddir / "weights.npy").exists():
+        require((newdir / "weights.npy").is_file() and (olddir / "weights.npy").is_file(),
+                "Control backend weight-file presence differs")
+        checks["weights.npy"] = bit_equal(np.load(newdir / "weights.npy", mmap_mode="r"),
+                                           np.load(olddir / "weights.npy", mmap_mode="r"))
+    return {"pass_all": bool(all(checks.values())), "case": spec["name"], "checks": checks,
+            "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+            "adapter_paths_budgets_and_runtime_metadata_compared": False}
+
+
+def validate_timing(output, spec, trial):
+    """Independently verify raw timing files and recorded audit, without a queue."""
+    output = Path(output)
+    steps, delay = spec["steps"], spec["apl_delay_steps"]
+    require(type(delay) is int and delay in (0, 18), "Invalid timing arm")
+    generated = trial["apl"]["apl-inhibition.float32.npy"]
+    applied = np.load(output / "apl-applied.float32.npy", mmap_mode="r", allow_pickle=False)
+    pending = np.load(output / "apl-pending-tail.float32.npy", mmap_mode="r", allow_pickle=False)
+    for name, value, shape in (("generated", generated, (steps, 4064)),
+                               ("applied", applied, (steps, 4064)), ("pending", pending, (delay, 4064))):
+        require(value.dtype == np.float32 and value.shape == shape and np.isfinite(value).all() and
+                np.all(value >= 0), "Invalid timing array " + name)
+    warmup, consumed, prefix = min(steps, delay), max(steps - delay, 0), max(delay - steps, 0)
+    require(np.all(applied[:warmup].view(np.uint32) == 0) and np.all(pending[:prefix].view(np.uint32) == 0),
+            "Timing initial padding must be positive zero")
+    require(bit_equal(applied[warmup:], generated[:consumed]) and bit_equal(pending[prefix:], generated[consumed:]),
+            "Timing transport is not an exact finite generated-sequence partition")
+    audit = read_json(output / "apl-timing-audit.json")
+    summary = read_json(output / "summary.json")
+    expected = {"pass_all": True, "apl_delay_steps": delay, "steps": steps,
+        "pending_generated_count": min(steps, delay), "pending_initial_zero_prefix": prefix,
+        "pending_application_tick_start": steps, "pending_application_tick_stop_exclusive": steps + delay,
+        "pending_generated_tick_start": consumed, "pending_generated_tick_stop_exclusive": steps,
+        "initial_padding_positive_zero": True, "sample_bits_preserved": True, "brain_tail_advanced": False,
+        "generated_trace": "apl-inhibition.float32.npy", "applied_trace": "apl-applied.float32.npy",
+        "pending_trace": "apl-pending-tail.float32.npy", "pending_raw_sha256": raw_hash(pending),
+        "pending_queue_drained": delay == 0, "finite_generated_sequence_only": True,
+        "future_apl_decay_or_feedback_generated": False, "closed_loop_branch_integrals_claimed_equal": False,
+        "biological_delay_measurement_claimed": False}
+    final_state = trial["apl"]["apl-state.float32.npy"][-1]
+    expected.update(final_apl_state_float32=final_state.tolist(),
+        final_apl_state_u32_bits=final_state.view(np.uint32).tolist(),
+        final_apl_state_nonzero=bool(np.any(final_state != 0)))
+    for key, value in expected.items():
+        require(key in audit and audit[key] == value and type(audit[key]) is type(value),
+                "Timing audit disagrees with independent data: " + key)
+    require(summary.get("apl_delay_steps") == delay and summary.get("apl_timing") == audit,
+            "Timing audit differs from GPU summary")
+    return {"applied": applied, "pending": pending, "audit": audit,
+            "report": {"pass_all": True, "apl_delay_steps": delay, "steps": steps,
+                "generated_applied_pending_bits_exact": True, "pending_generated_count": min(steps, delay),
+                "pending_initial_zero_prefix": prefix, "brain_tail_advanced": False}}
+
+
+def timing_repeat(first, repeat, legacy):
+    result = legacy.exact_repeat(first, repeat)
+    result["checks"].update(apl_applied=bit_equal(first["timing"]["applied"], repeat["timing"]["applied"]),
+        apl_pending=bit_equal(first["timing"]["pending"], repeat["timing"]["pending"]),
+        timing_audit=first["timing"]["audit"] == repeat["timing"]["audit"])
+    result["pass_all"] = bool(all(result["checks"].values()))
+    result["scope"] += "; plus delayed applied h, finite pending tail and timing audit"
+    return result
+
+
+def _case_spec(case, old_case, row, delay):
+    spec = read_json(case / "spec.json")
+    old = read_json(old_case / "spec.json")
+    require(type(spec.get("apl_delay_steps")) is int and spec["apl_delay_steps"] == delay,
+            "Case arm/delay mismatch")
+    require(set(spec) == set(old) | {"apl_delay_steps"}, "Unexpected case fields")
+    require(all(spec[key] == value for key, value in old.items() if key not in ("budget_root", "output_budget_bytes")),
+            "A scientific case field changed in addition to APL output delay")
+    require(spec["name"] == row["name"] and spec["kind"] == "calibration" and spec["steps"] == 1000 and
+            spec["duration_ms"] == 100.0 and spec["dt_ms"] == .1 and spec["training"] is False and
+            all(spec[key] == row[key] for key in ("mode", "odor_id", "odor_index", "seed")), "Invalid fixed CAL case")
+    for name in ("requests.npz", "pn-drive.npz"):
+        require(file_hash(case / name) == file_hash(old_case / name), "Frozen CAL input bytes changed: " + name)
+    return spec
+
+
+def _read_new(legacy, output, case, spec, kc_globals, cfg):
+    trial = legacy.read_trial(output, case, spec, kc_globals, cfg["neurons"], cfg["edges"])
+    trial["timing"] = validate_timing(output, spec, trial)
+    return trial
+
+
+def _provenance(output, name, repeat):
+    return {"case": name, "repeat": repeat, "sha256": {fname: file_hash(output / fname) for fname in
+        ("state.npz", "summary.json", "tick-state-hashes.jsonl", "queue.jsonl", "requests.csv", "apl-component.json",
+         *APL_FILES, "apl-applied.float32.npy", "apl-pending-tail.float32.npy", "apl-timing-audit.json")}}
+
+
+def collect_arm(arm, delay, records, odors, legacy, cfg, exp, ag, kc_globals):
+    failures, runs, rows, repeats, controls, provenance, timings, modes = [], {}, [], [], [], [], [], {}
+    for row in records:
+        name, first, spec = row["name"], None, None
+        case = exp / "cases" / arm / name
+        try:
+            spec = _case_spec(case, ag / "cases" / name, row, delay)
+        except Exception as error:
+            failures.append(dict(stage="case_spec", case=name, type=type(error).__name__, message=str(error)))
+        for repeat_index in ([0, 1] if row["seed"] == legacy.ORIGINAL_SEEDS[0] else [0]):
+            output = exp / "gpu" / arm / (name + "-r" + str(repeat_index))
+            try:
+                require(spec is not None, "Case spec unavailable")
+                trial = _read_new(legacy, output, case, spec, kc_globals, cfg)
+                require(trial["record"]["requested"] == row["requests"], "Inventory request count changed")
+                timings.append(dict(case=name, repeat=repeat_index, **trial["timing"]["report"]))
+                provenance.append(_provenance(output, name, repeat_index))
+                if repeat_index == 0:
+                    first = trial
+                    runs[(row["mode"], row["odor_id"], row["seed"])] = {key: first[key] for key in
+                        ("kc_counts", "expected_external_events", "external_events")}
+                    rows.append(first["record"])
+                else:
+                    require(first is not None, "Baseline unavailable for exact repeat")
+                    report = dict(case=name, **timing_repeat(first, trial, legacy))
+                    repeats.append(report)
+                    require(report["pass_all"], "Exact repetition differs: " + ", ".join(
+                        key for key, value in report["checks"].items() if not value))
+                if delay == 0:
+                    control = control_identity(output, ag / "gpu" / (name + "-r" + str(repeat_index)), case)
+                    controls.append(dict(repeat=repeat_index, **control))
+                    require(control["pass_all"], "Delay0 differs from sealed AG: " + ", ".join(
+                        key for key, value in control["checks"].items() if not value))
+            except Exception as error:
+                failures.append(dict(stage="raw_trial" if repeat_index == 0 else "repeat_trial", case=name,
+                    repeat=repeat_index, type=type(error).__name__, message=str(error)))
+    # Each complete mode is still described even if the other mode/arm failed.
+    for mode in legacy.ORIGINAL_MODES:
+        needed = {(mode, odor, seed) for odor in odors for seed in legacy.ORIGINAL_SEEDS}
+        if needed.issubset(runs):
+            try:
+                modes[mode] = legacy.summarize_mode(mode, odors, legacy.ORIGINAL_SEEDS, runs, cfg["gates"])
+            except Exception as error:
+                failures.append(dict(stage="representation_calculation", mode=mode, type=type(error).__name__, message=str(error)))
+    numerical = bool(len(runs) == 60 and len(timings) == 72 and not any(
+        row["stage"] != "representation_calculation" for row in failures))
+    repeat_pass = bool(len(repeats) == 12 and all(row["pass_all"] for row in repeats))
+    control_pass = bool(delay != 0 or (len(controls) == 72 and all(row["pass_all"] for row in controls)))
+    representation = bool(len(modes) == 2 and all(row["gate"] for row in modes.values()))
+    execution = bool(numerical and repeat_pass and control_pass)
+    return {"arm": arm, "apl_delay_steps": delay, "pass_all": bool(execution and representation),
+        "execution_gate_pass": execution, "numerical_integrity_pass": numerical, "exact_repeat_pass": repeat_pass,
+        "control_identity_applicable": delay == 0, "delay0_control_identity_pass": control_pass if delay == 0 else None,
+        "original_representation_gate_pass": representation, "expected_base_trials": 60, "valid_base_trials": len(runs),
+        "expected_repeats": 12, "checked_repeats": len(repeats), "checked_timing_trials": len(timings),
+        "modes": modes, "runs": rows, "repeats": repeats, "timing_checks": timings,
+        "control_checks": controls, "failures": failures, "input_output_provenance": provenance}
+
+
+def summarize(out_json=_DEFAULT_OUTPUT):
+    """Default writes new evidence exclusively; out_json=None is pure recomputation."""
+    from context import EXP, AG, ROOT, CFG, check
+    target = EXP / "calibration/summary.json" if out_json is _DEFAULT_OUTPUT else (
+        None if out_json is None else Path(out_json))
+    require(target is None or not target.exists(), "Refusing existing calibration summary")
+    arms, failures, odors, encoder = {}, [], [], None
+    try:
+        check()
+        legacy = load_legacy()
+        require(CFG["delays_steps"] == [0, 18], "Fixed timing arms changed")
+        records = read_json(EXP / "protocol/calibration-cases.json")
+        require(file_hash(EXP / "protocol/calibration-cases.json") == file_hash(AG / "protocol/calibration-cases.json"),
+                "Original CAL inventory bytes changed")
+        odors = legacy.validate_inventory(records, CFG)
+        encoder = read_json(EXP / "protocol/encoder-audit.json")
+        require(file_hash(EXP / "protocol/encoder-audit.json") == file_hash(AG / "protocol/encoder-audit.json"),
+                "Frozen encoder audit changed")
+        require(encoder["panel_count"] == 12 and encoder["cal_count"] == 6 and
+                encoder["seeds"] == list(legacy.ORIGINAL_SEEDS) and encoder["requested_before_any_dynamics"] is True and
+                encoder["formal_AB_run"] is False and encoder["heldout_run"] is False, "Invalid frozen encoder scope")
+        import pandas as pd
+        panel = pd.read_parquet(ROOT / "experiments/phase4l-olfactory-grounding/odor-encoder/frozen-odor-panel.parquet")
+        require(len(panel) == 12 and set(panel[panel.split == "calibration"].odor_id) == legacy.ORIGINAL_CAL_IDS and
+                float(np.median(panel.mapped_response_sum)) == encoder["median_mapped_response_sum"],
+                "Static original 12-panel median/identities changed; no heldout trajectories are read")
+        kc = np.load(AG / "apl-bundle/kc_globals.npy", allow_pickle=False)
+        require(kc.dtype == np.int32 and kc.shape == (4064,) and np.all(np.diff(kc) > 0) and
+                np.all((kc >= 0) & (kc < CFG["neurons"])), "Invalid frozen KC identity")
+        for delay in (0, 18):
+            arm = "delay" + str(delay)
+            try:
+                arms[arm] = collect_arm(arm, delay, records, odors, legacy, CFG, EXP, AG, kc)
+            except Exception as error:
+                failures.append(dict(stage="arm", arm=arm, type=type(error).__name__, message=str(error)))
+    except Exception as error:
+        failures.append(dict(stage="prerequisites", type=type(error).__name__, message=str(error)))
+    for arm, data in arms.items():
+        failures.extend(dict(arm=arm, **row) for row in data["failures"])
+    complete = set(arms) == {"delay0", "delay18"}
+    numerical = bool(complete and all(row["numerical_integrity_pass"] for row in arms.values()) and not failures)
+    repeated = bool(complete and all(row["exact_repeat_pass"] for row in arms.values()))
+    control = bool("delay0" in arms and arms["delay0"]["delay0_control_identity_pass"])
+    represented = bool(complete and all(row["original_representation_gate_pass"] for row in arms.values()))
+    execution = bool(numerical and repeated and control)
+    result = {"phase": "4AJ", "pass_all": bool(execution and represented), "execution_gate_pass": execution,
+        "numerical_integrity_pass": numerical, "exact_repeat_pass": repeated, "delay0_control_identity_pass": control,
+        "original_representation_gate_pass": represented,
+        "original_representation_gate_pass_by_arm": {arm: row["original_representation_gate_pass"] for arm, row in arms.items()},
+        "expected_base_trials_per_arm": 60, "expected_repeats_per_arm": 12,
+        "expected_delay0_AG_comparisons": 72, "arms": arms, "failures": failures, "odor_ids": odors,
+        "encoder_audit": encoder, "legacy_calibration_sha256": LEGACY_SHA256,
+        "scope": "Both fixed timing arms, full original 4L CAL gate; no heldout or learning claim",
+        "representation_failure_is_not_numerical_failure": True,
+        "selection_or_tuning_performed": False, "both_arms_retained_regardless_of_representation": True,
+        "closed_loop_generated_h_integrals_forced_equal": False,
+        "pending_is_finite_generated_sequence_not_complete_future_decay": True,
+        "candidate_generated": False, "training": False, "heldout_dynamic_access": False,
+        "shared_apl_component_oracle_limit": True, "independent_oracle_equivalence_claim": False}
+    if target is not None:
+        outputs = {target: result}
+        for arm, data in arms.items():
+            directory = target.parent / arm
+            outputs[directory / "summary.json"] = data
+            for mode, metrics in data["modes"].items():
+                outputs[directory / (mode + ".json")] = metrics
+        require(all(not path.exists() for path in outputs), "Refusing existing arm/mode summary")
+        for path, value in outputs.items():
+            path.parent.mkdir(parents=True, exist_ok=True)
+            with path.open("x", encoding="utf-8") as stream:
+                json.dump(value, stream, ensure_ascii=False, indent=2, allow_nan=False)
+                stream.write("\n")
+    return result
+
+
+if __name__ == "__main__":
+    result = summarize()
+    print(json.dumps({key: result[key] for key in ("pass_all", "execution_gate_pass",
+        "delay0_control_identity_pass", "original_representation_gate_pass_by_arm")}), flush=True)
diff --git a/models/male-cns-lif/apl-timing-lab-v1/checksums.sha256 b/models/male-cns-lif/apl-timing-lab-v1/checksums.sha256
new file mode 100644
index 0000000..a9f626a
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/checksums.sha256
@@ -0,0 +1,22 @@
+d96aef0107f7b0791d16e475b749da418b8a38d2c56a94e0779de0cd6581a7de  PROTOCOL.md
+7201871477a29ede31c7d6c6bf1c92700da3db5505e67ccfa7cb43126b8464b9  al_origin_audit.py
+fb15ddeaa108305c8de697bbae36b23ab0414a7c58db51c66dce9feb4a048a0d  calibration.py
+9010f070fba9b7c9cf2d86187ee2abc57f3ac606ebc08a42baad4f3922b51734  compare_timing.py
+0b720e23aa7988b2b443e14951082b1ce9b061a183b7f858c0e0f3c0fc6fb25e  config.json
+06d4994af3729d653263391ff3a3604f7c919e78562604e5c86acfa292d60ba0  context.py
+0a2dbf9e5f889e9dd3491d036e6f92c17417a84482c5e1e49134c0993f7d68f2  finalize.py
+af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b  gpu_timing.py
+39d8c47c94bc2faddf016864a43e7715907fb987f56f7b27098060a88851f6be  oracle_timing.py
+bba71bcd52dcb78d9ae0fa93a8a43173a4669ecef038dce18ce7d82edd9bce50  prepare.py
+d93e4fe2df542ce5a0f0adb5aceada583dc8c921f0159f426e50428d79d67a1d  run_case.py
+6f26c626acf9ef8e6fae7902af0cbf0bd176eb322529ca8aa203a9700716c889  run_suite.py
+46f380dac340acc91f226968bb493475a31777f8290fb20f9145a97c9009d845  shift_audit.py
+4b75a39d36090b0a66cc7ad4b370ac785713fb58c366df2efcc55152d612fc2b  test_al_origin_audit.py
+307a2848bf6d05aaa8105bb3558be2a74425894f96a4a2bd20af8b82cb8b6e25  test_calibration.py
+cbae93c993ac9aa99bcce68ae2131c7f938f8a63e89779f8d3d79e36bf268dee  test_protocol.py
+bfc0d9e17410c2c52ea1d9a5259c92964f16b118dbae8cecad258697b67e4bdc  tests/__init__.py
+71876b36eef88c198aa8e833af547dbe772001c71b010707b656c165c8b54031  tests/test_compare_timing.py
+4a375444dc732c3538df8aa4b81e43b5418754fcebebb0d02c16faad03d43195  tests/test_timing_queue.py
+54df6d4818e2a0c26e96fb0aaf5d9b71cd964981706da937562d48af79aca14e  timing_queue.py
+97d8a240b08baaca935f9c0278978883005dcd6fdbb4ca0d948074ef79fd349c  verify_frozen.py
+52b05dd1ff30b6b51ff960fe95904532f5c147731a83f0b5c31f98ca7e53c216  manifest.json
diff --git a/models/male-cns-lif/apl-timing-lab-v1/compare_timing.py b/models/male-cns-lif/apl-timing-lab-v1/compare_timing.py
new file mode 100644
index 0000000..8aa5bab
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/compare_timing.py
@@ -0,0 +1,611 @@
+"""Fail-closed byte-exact audit of fixed-delay shared-APL closed-loop runs.
+
+Comparison is independent of either backend's stored PASS. No tolerance is
+used, wall-clock performance fields are excluded, and reports contain no wall
+timestamp. Scientific delay/tick metadata are checked explicitly.
+"""
+from __future__ import annotations
+
+import csv
+import hashlib
+import json
+import math
+from pathlib import Path
+import re
+import struct
+
+import numpy as np
+
+
+N_GLOBAL = 166700
+STATE_KEYS = ('step', 'neuron_idx', 'counts', 'v', 'g', 'ref')
+REQUEST_FIELDS = ('tick', 'neuron_idx', 'attempted', 'accepted', 'rejected')
+HASH_FIELDS = {'tick', 'v_sha256', 'g_sha256', 'ref_sha256'}
+QUEUE_FIELDS = {'tick', 'count', 'accepted_count', 'ordered_edge_sha256',
+                'accepted_mask_sha256', 'joint_sha256'}
+BUNDLE_FILES = ('input_matrix.npy', 'output_matrix.npy', 'kc_globals.npy', 'apl_globals.npy')
+COEFFICIENTS = ('gd', 'c0', 'cg', 'cv', 'threshold', 'reset', 'seed_volt')
+
+
+def require(condition, message):
+    if not condition:
+        raise ValueError(message)
+
+
+def file_hash(path):
+    h = hashlib.sha256()
+    with Path(path).open('rb') as source:
+        for block in iter(lambda: source.read(8 << 20), b''):
+            h.update(block)
+    return h.hexdigest()
+
+
+def raw_hash(array, dtype=None):
+    return hashlib.sha256(np.ascontiguousarray(array, dtype=dtype).tobytes()).hexdigest()
+
+
+def save(path, report):
+    if path is None:
+        return
+    path = Path(path)
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open('x', encoding='utf-8') as target:
+        json.dump(report, target, indent=2, sort_keys=True, allow_nan=False)
+        target.write('\n')
+
+
+def _read_json(path, used):
+    used.add(Path(path))
+    return json.loads(Path(path).read_text(encoding='utf-8'))
+
+
+def _read_jsonl(path, used):
+    used.add(Path(path))
+    with Path(path).open(encoding='utf-8') as source:
+        return [json.loads(line) for line in source if line.strip()]
+
+
+def _read_array(path, used):
+    used.add(Path(path))
+    return np.load(path, mmap_mode='r', allow_pickle=False)
+
+
+def _check(checks, name, condition):
+    checks[name] = bool(condition)
+
+
+def _bit_mask(a, b):
+    if a.dtype.kind == 'f':
+        unsigned = np.dtype('uint'+str(a.dtype.itemsize*8))
+        return np.ascontiguousarray(a).view(unsigned) != np.ascontiguousarray(b).view(unsigned)
+    return a != b
+
+
+def _compare_array(name, a, b, checks, differences, dtype=None, shape=None):
+    a, b = np.asarray(a), np.asarray(b)
+    schema = a.shape == b.shape and a.dtype == b.dtype and \
+        (dtype is None or a.dtype == np.dtype(dtype)) and (shape is None or a.shape == shape)
+    _check(checks, name+'.schema', schema)
+    if not schema:
+        differences[name] = {'left_shape': list(a.shape), 'right_shape': list(b.shape),
+            'left_dtype': str(a.dtype), 'right_dtype': str(b.dtype), 'expected_shape': None if shape is None else list(shape),
+            'expected_dtype': None if dtype is None else str(np.dtype(dtype))}
+        _check(checks, name+'.bitwise_exact', False)
+        return False
+    finite = bool(np.isfinite(a).all() and np.isfinite(b).all())
+    _check(checks, name+'.finite', finite)
+    mask = _bit_mask(a, b)
+    exact = not bool(np.any(mask))
+    _check(checks, name+'.bitwise_exact', exact)
+    if not exact or not finite:
+        flat = np.flatnonzero(mask.ravel())
+        detail = {'mismatching_elements': int(len(flat)),
+            'first_positions': [list(map(int, np.unravel_index(int(index), a.shape))) for index in flat[:5]],
+            'left_nonfinite': int(np.count_nonzero(~np.isfinite(a))),
+            'right_nonfinite': int(np.count_nonzero(~np.isfinite(b)))}
+        if finite and a.size:
+            error = np.abs(a.astype(np.float64)-b.astype(np.float64))
+            detail.update(max_abs_error=float(error.max()), mean_abs_error=float(error.mean()))
+        if a.dtype.kind == 'f' and len(flat):
+            unsigned = np.dtype('uint'+str(a.dtype.itemsize*8))
+            av = np.ascontiguousarray(a).view(unsigned).ravel()
+            bv = np.ascontiguousarray(b).view(unsigned).ravel()
+            detail['first_bit_patterns'] = [{'left': hex(int(av[index])), 'right': hex(int(bv[index]))} for index in flat[:5]]
+        differences[name] = detail
+    return exact and finite
+
+
+def _sha(value):
+    return isinstance(value, str) and re.fullmatch('[0-9a-f]{64}', value) is not None
+
+
+def _read_requests(path, steps, used):
+    used.add(Path(path))
+    with Path(path).open(encoding='utf-8', newline='') as source:
+        reader = csv.DictReader(source)
+        require(tuple(reader.fieldnames or ()) == REQUEST_FIELDS, 'Request CSV schema mismatch: '+str(path))
+        rows = [{key: int(row[key]) for key in REQUEST_FIELDS} for row in reader]
+    previous = (-1, -1)
+    for row in rows:
+        key = row['tick'], row['neuron_idx']
+        require(previous < key and 0 <= key[0] < steps and 0 <= key[1] < N_GLOBAL,
+                'Request rows must be sorted, unique, and in range: '+str(path))
+        require(row['attempted'] == 1 and row['accepted'] in (0, 1) and row['rejected'] == 1-row['accepted'],
+                'Request accounting is incomplete: '+str(path))
+        previous = key
+    return rows
+
+
+def _load_run(directory, role, n, edges, steps, record_history, name, delay, used, checks):
+    directory = Path(directory)
+    summary = _read_json(directory/'summary.json', used)
+    _check(checks, role+'.summary_complete', summary.get('complete') is True and summary.get('pass_all') is True and
+        summary.get('steps') == steps and summary.get('completed_ticks') == steps and
+        summary.get('nodes') == n and summary.get('edges') == edges and summary.get('precision') == 'float64')
+    is_cpu = role == 'cpu'
+    _check(checks, role+'.case_name', summary.get('name' if is_cpu else 'case') == name)
+    _check(checks, role+'.history_mode', summary.get('history_recorded' if is_cpu else 'record_history') is record_history)
+    _check(checks, role+'.apl_precision', summary.get('APL_precision' if is_cpu else 'apl_precision') == 'float32')
+    _check(checks, role+'.no_error_marker', not (directory/'error.json').exists())
+    used.add(directory/'state.npz')
+    with np.load(directory/'state.npz', allow_pickle=False) as source:
+        require(set(source.files) == set(STATE_KEYS), 'State NPZ keys changed: '+str(directory))
+        state = {key: source[key].copy() for key in STATE_KEYS}
+    for key, dtype in (('v', 'float64'), ('g', 'float64'), ('ref', 'int32'), ('counts', 'int32')):
+        require(state[key].shape == (n,) and state[key].dtype == np.dtype(dtype), 'Invalid final '+key+': '+str(directory))
+    require(state['step'].dtype == state['neuron_idx'].dtype == np.int32 and state['step'].ndim == 1 and
+            state['step'].shape == state['neuron_idx'].shape, 'Invalid sparse event schema: '+str(directory))
+    require(bool(np.all((state['step'] >= 0) & (state['step'] < steps))) and
+            bool(np.all((state['neuron_idx'] >= 0) & (state['neuron_idx'] < N_GLOBAL))), 'Sparse event range error')
+    event_keys = state['step'].astype(np.int64)*N_GLOBAL+state['neuron_idx']
+    _check(checks, role+'.events_sorted_unique', len(event_keys) < 2 or np.all(np.diff(event_keys) > 0))
+    _check(checks, role+'.count_nonnegative_total', np.all(state['counts'] >= 0) and int(state['counts'].sum()) == len(event_keys))
+    _check(checks, role+'.ref_range', np.all((state['ref'] >= 0) & (state['ref'] <= 22)))
+    _check(checks, role+'.reported_events', summary.get('spikes' if is_cpu else 'total_spikes') == len(event_keys))
+    hashes = _read_jsonl(directory/'tick-state-hashes.jsonl', used)
+    require(len(hashes) == steps and [row.get('tick') for row in hashes] == list(range(steps)), 'Incomplete tick hash coverage')
+    require(all(set(row) == HASH_FIELDS and all(_sha(row[key]) for key in HASH_FIELDS-{'tick'}) for row in hashes),
+            'Invalid tick state hash schema')
+    queues = _read_jsonl(directory/'queue.jsonl', used)
+    require(len(queues) == steps and [row.get('tick') for row in queues] == list(range(steps)), 'Incomplete queue coverage')
+    require(all(set(row) == QUEUE_FIELDS and type(row['count']) is int and type(row['accepted_count']) is int and
+                0 <= row['accepted_count'] <= row['count'] <= edges and
+                all(_sha(row[key]) for key in QUEUE_FIELDS-{'tick', 'count', 'accepted_count'}) for row in queues),
+            'Invalid queue row schema/count/hash')
+    for key in ('v', 'g', 'ref'):
+        _check(checks, role+'.last_hash_'+key, hashes[-1][key+'_sha256'] == raw_hash(state[key], '<i4' if key == 'ref' else '<f8'))
+    requests = _read_requests(directory/'requests.csv', steps, used)
+    requested, accepted = len(requests), sum(row['accepted'] for row in requests)
+    _check(checks, role+'.request_summary', summary.get('requests' if is_cpu else 'requested') == requested and
+        summary.get('applicable_requests' if is_cpu else 'accepted_requests') == accepted and
+        summary.get('ref_rejected_requests' if is_cpu else 'rejected_requests') == requested-accepted)
+    apl = {field: _read_array(directory/('apl-'+field+'.float32.npy'), used) for field in ('drive', 'state', 'inhibition', 'applied')}
+    for field, width in (('drive', 2), ('state', 2), ('inhibition', 4064), ('applied', 4064)):
+        require(apl[field].dtype == np.float32 and apl[field].shape == (steps, width), 'Invalid APL '+field+' history schema')
+        _check(checks, role+'.apl_positive_'+field, np.all(apl[field] >= 0))
+    pending = _read_array(directory/'apl-pending-tail.float32.npy', used)
+    require(pending.dtype == np.float32 and pending.shape == (delay, 4064), 'Invalid pending APL queue schema')
+    timing = _read_json(directory/'apl-timing-audit.json', used)
+    _check(checks, role+'.delay_summary', type(summary.get('apl_delay_steps')) is int and summary['apl_delay_steps'] == delay)
+    histories, pre = {}, {}
+    for field, dtype in (('v', 'float64'), ('g', 'float64'), ('ref', 'int32')):
+        files = (directory/(field+'-history.'+dtype+'.npy'), directory/('preAPL-'+field+'.'+dtype+'.npy'))
+        if record_history:
+            histories[field], pre[field] = (_read_array(path, used) for path in files)
+            require(all(array.dtype == np.dtype(dtype) and array.shape == (steps, n) for array in (histories[field], pre[field])),
+                    'Small pre/post history schema mismatch')
+            _check(checks, role+'.history_hashes_'+field, all(row[field+'_sha256'] == raw_hash(histories[field][tick])
+                   for tick, row in enumerate(hashes)))
+            _check(checks, role+'.history_final_'+field, not np.any(_bit_mask(histories[field][-1], state[field])))
+        else:
+            _check(checks, role+'.no_dense_'+field, not any(path.exists() for path in files))
+    if is_cpu:
+        component = _read_json(directory/'apl-worker-handshake.json', used)['handshake']
+    else:
+        component = _read_json(directory/'apl-component.json', used)
+        _check(checks, role+'.component_summary_consistent', summary.get('apl_component') == component)
+    return dict(directory=directory, summary=summary, state=state, hashes=hashes, queues=queues,
+                requests=requests, apl=apl, pending=pending, timing=timing,
+                histories=histories, pre=pre, component=component)
+
+
+def _pair_outputs(left, right, checks, differences, n, steps, record_history):
+    for field in STATE_KEYS:
+        shape = None if field in ('step', 'neuron_idx') else (n,)
+        dtype = 'float64' if field in ('v', 'g') else 'int32'
+        _compare_array('state.'+field, left['state'][field], right['state'][field], checks, differences, dtype, shape)
+    for field, width in (('drive', 2), ('state', 2), ('inhibition', 4064), ('applied', 4064)):
+        _compare_array('apl.'+field, left['apl'][field], right['apl'][field], checks, differences, 'float32', (steps, width))
+    _compare_array('apl.pending', left['pending'], right['pending'], checks, differences, 'float32', left['pending'].shape)
+    for field in ('hashes', 'queues', 'requests', 'component'):
+        same = left[field] == right[field]
+        _check(checks, field+'.parsed_exact', same)
+        if not same:
+            if isinstance(left[field], list):
+                first = next((i for i, (a, b) in enumerate(zip(left[field], right[field])) if a != b), None)
+                differences[field] = {'left_count': len(left[field]), 'right_count': len(right[field]),
+                    'first_differing_row': first,
+                    'left_row': None if first is None else left[field][first],
+                    'right_row': None if first is None else right[field][first]}
+            else:
+                differences[field] = {'left': left[field], 'right': right[field]}
+    if record_history:
+        for stage in ('histories', 'pre'):
+            for field, dtype in (('v', 'float64'), ('g', 'float64'), ('ref', 'int32')):
+                _compare_array(stage+'.'+field, left[stage][field], right[stage][field], checks, differences, dtype, (steps, n))
+
+
+def _queue_digest(tick, ids, accepted):
+    ids = np.ascontiguousarray(ids, dtype='<i8').tobytes()
+    mask = np.ascontiguousarray(accepted, dtype=np.uint8).tobytes()
+    return {'tick': tick, 'count': len(mask), 'accepted_count': int(np.count_nonzero(accepted)),
+        'ordered_edge_sha256': hashlib.sha256(ids).hexdigest(),
+        'accepted_mask_sha256': hashlib.sha256(mask).hexdigest(),
+        'joint_sha256': hashlib.sha256(b'phase4af-queue-v1\0'+struct.pack('<qq', tick, len(mask))+ids+mask).hexdigest()}
+
+
+def _independent_event_accounting(run, role, graph, requested, steps, checks, differences):
+    nodes, ptr = graph['nodes'], graph['ptr']
+    n = len(nodes)
+    state = run['state']
+    local = np.searchsorted(nodes, state['neuron_idx'])
+    require(np.all(local < n) and np.array_equal(nodes[local], state['neuron_idx']), 'Actual spike outside graph identity')
+    _check(checks, role+'.events_per_neuron_counts', np.array_equal(np.bincount(local, minlength=n), state['counts']))
+    actual_request_pairs = [(row['tick'], row['neuron_idx']) for row in run['requests']]
+    _check(checks, role+'.requests_match_frozen_input', actual_request_pairs == requested)
+    require(actual_request_pairs == requested, 'Actual request population/time differs from frozen input')
+    bounds = np.searchsorted(state['step'], np.arange(steps+1))
+    request_ticks = np.asarray([row['tick'] for row in run['requests']], np.int32)
+    rbounds = np.searchsorted(request_ticks, np.arange(steps+1))
+    request_nodes = np.asarray([row['neuron_idx'] for row in run['requests']], np.int32)
+    request_local = np.searchsorted(nodes, request_nodes)
+    require(np.all(request_local < n) and np.array_equal(nodes[request_local], request_nodes), 'Request outside graph')
+    last = np.full(n, -1_000_000_000, np.int64)
+    degrees = np.diff(ptr)
+    expected_counts = np.zeros(steps, np.int64)
+    arrival_tick = state['step'].astype(np.int64)+18
+    valid = arrival_tick < steps
+    np.add.at(expected_counts, arrival_tick[valid], degrees[local[valid]])
+    _check(checks, role+'.delayed_all_edges_count', np.array_equal(expected_counts, [row['count'] for row in run['queues']]))
+    request_ok, delivered_ok, ref_ok, queue_ok, reset_ok = True, True, True, True, True
+    first = {}
+    for tick in range(steps):
+        fired = local[bounds[tick]:bounds[tick+1]]
+        lo, hi = rbounds[tick:tick+2]
+        targets = request_local[lo:hi]
+        accepted = (tick-last[targets]) >= 22
+        for index, ok in zip(range(lo, hi), accepted):
+            row = run['requests'][index]
+            if row['accepted'] != int(ok) or row['rejected'] != int(not ok):
+                request_ok = False
+                first.setdefault('request_ref_mismatch', {'tick': tick, 'neuron_idx': row['neuron_idx']})
+        if not np.isin(targets[accepted], fired).all() or np.isin(targets[~accepted], fired).any():
+            delivered_ok = False
+            first.setdefault('request_delivery_mismatch', tick)
+        last[fired] = tick
+        ref = np.maximum(22-(tick-last), 0).astype(np.int32)
+        if raw_hash(ref, '<i4') != run['hashes'][tick]['ref_sha256']:
+            ref_ok = False
+            first.setdefault('ref_hash_mismatch', tick)
+        if run['pre']:
+            if len(fired) and not np.array_equal(np.ascontiguousarray(run['pre']['g'][tick, fired]).view(np.uint64), np.zeros(len(fired), np.uint64)):
+                reset_ok = False
+                first.setdefault('pre_apl_spike_reset_mismatch', tick)
+            due = local[bounds[tick-18]:bounds[tick-17]] if tick >= 18 else np.empty(0, np.int64)
+            chunks = [np.arange(ptr[source], ptr[source+1], dtype=np.int64) for source in due]
+            indices = np.concatenate(chunks) if chunks else np.empty(0, np.int64)
+            expected_queue = _queue_digest(tick, graph['edge_id'][indices], (ref[graph['dst'][indices]] == 0).astype(np.uint8))
+            if expected_queue != run['queues'][tick]:
+                queue_ok = False
+                first.setdefault('queue_reconstruction_mismatch', tick)
+    _check(checks, role+'.request_refractory_gate', request_ok)
+    _check(checks, role+'.accepted_spikes_rejected_absent', delivered_ok)
+    _check(checks, role+'.all_ref_hashes_from_actual_events', ref_ok)
+    if run['pre']:
+        _check(checks, role+'.small_queue_independent_reconstruction', queue_ok)
+        _check(checks, role+'.spike_g_reset_before_apl', reset_ok)
+    if first:
+        differences[role+'.independent_accounting'] = first
+
+
+def _check_apl_application(run, role, nodes, kc, checks, differences):
+    if not run['pre']:
+        return
+    common, local_kc, bundle_kc = np.intersect1d(nodes, kc, assume_unique=True, return_indices=True)
+    _compare_array(role+'.apl_keeps_voltage', run['pre']['v'], run['histories']['v'], checks, differences, 'float64')
+    _compare_array(role+'.apl_keeps_ref', run['pre']['ref'], run['histories']['ref'], checks, differences, 'int32')
+    expected = np.array(run['pre']['g'], copy=True)
+    delta = run['apl']['applied'][:, bundle_kc].astype(np.float64)*np.float64(.001)
+    expected[:, local_kc] = expected[:, local_kc]-delta
+    _compare_array(role+'.apl_unconditional_g_write', expected, run['histories']['g'], checks, differences, 'float64')
+
+
+def _timing_sequence_checks(generated, applied, pending, delay, role, checks, differences):
+    """Independent slice-based reconstruction; does not import either queue."""
+    require(type(delay) is int and delay in (0, 18), 'Invalid fixed APL delay')
+    for key, value in (('generated', generated), ('applied', applied), ('pending', pending)):
+        require(isinstance(value, np.ndarray) and value.ndim == 2 and value.dtype == np.float32,
+                'Invalid timing array '+key)
+    steps, width = generated.shape
+    require(width > 0 and applied.shape == (steps, width) and pending.shape == (delay, width),
+            'Timing sequence dimensions do not partition the declared window')
+    _check(checks, role+'.timing_finite_nonnegative',
+           all(np.isfinite(value).all() and np.all(value >= 0) for value in (generated, applied, pending)))
+    consumed = max(steps-delay, 0)
+    expected_applied = np.zeros_like(generated)
+    if consumed:
+        expected_applied[delay:] = generated[:consumed]
+    expected_pending = np.zeros((delay, width), dtype=np.float32)
+    generated_pending = min(steps, delay)
+    if generated_pending:
+        expected_pending[delay-generated_pending:] = generated[consumed:]
+    _compare_array(role+'.fixed_delay_applied', applied, expected_applied, checks, differences,
+                   'float32', (steps, width))
+    _compare_array(role+'.fixed_delay_pending', pending, expected_pending, checks, differences,
+                   'float32', (delay, width))
+    _check(checks, role+'.finite_sequence_row_conservation', consumed+generated_pending == steps)
+
+
+def _timing_metadata_checks(run, role, delay, steps, checks):
+    """Validate declared limits against actual queue and generated APL state."""
+    timing, summary = run['timing'], run['summary']
+    count, prefix = min(steps, delay), max(delay-steps, 0)
+    expected = {'apl_delay_steps': delay, 'steps': steps, 'pending_generated_count': count,
+                'generated_rows': steps, 'applied_generated_rows': max(steps-delay, 0),
+                'pending_initial_zero_prefix': prefix, 'pending_application_tick_start': steps,
+                'pending_application_tick_stop_exclusive': steps+delay,
+                'pending_generated_tick_start': max(steps-delay, 0),
+                'pending_generated_tick_stop_exclusive': steps}
+    _check(checks, role+'.timing_integer_metadata',
+           all(type(timing.get(key)) is int and timing[key] == value for key, value in expected.items()))
+    _check(checks, role+'.pending_hash_metadata', timing.get('pending_raw_sha256') == raw_hash(run['pending'], '<f4'))
+    _check(checks, role+'.pending_shape_metadata', timing.get('pending_shape') == [delay, 4064])
+    _check(checks, role+'.pending_summary_counts',
+           type(summary.get('pending_generated_count')) is int and summary['pending_generated_count'] == count and
+           type(summary.get('pending_initial_zero_prefix')) is int and summary['pending_initial_zero_prefix'] == prefix and
+           summary.get('pending_tail_shape') == [delay, 4064] and
+           summary.get('future_generated_decay_tail_included') is False)
+    state = np.asarray(run['apl']['state'][-1], dtype=np.float32)
+    state_values, state_bits = timing.get('final_apl_state_float32'), timing.get('final_apl_state_u32_bits')
+    valid_state = isinstance(state_values, list) and len(state_values) == 2 and isinstance(state_bits, list) and len(state_bits) == 2
+    if valid_state:
+        try:
+            value = np.asarray(state_values, dtype=np.float32)
+            valid_state = np.array_equal(value.view(np.uint32), state.view(np.uint32)) and \
+                all(type(x) is int for x in state_bits) and state_bits == state.view(np.uint32).tolist()
+        except (ValueError, TypeError, OverflowError):
+            valid_state = False
+    _check(checks, role+'.final_apl_state_metadata', valid_state and
+           timing.get('final_apl_state_nonzero') is bool(np.any(state != 0)))
+    if role == 'cpu':
+        _check(checks, role+'.no_extra_brain_or_apl_ticks',
+               type(timing.get('brain_steps_after_window')) is int and timing['brain_steps_after_window'] == 0 and
+               type(timing.get('APL_generation_steps_after_window')) is int and timing['APL_generation_steps_after_window'] == 0 and
+               timing.get('future_generated_decay_tail_included') is False and
+               summary.get('future_generated_decay_tail_included') is False and
+               summary.get('APL_worker_ticks') == steps)
+        _check(checks, role+'.timing_summary_metadata',
+               summary.get('pending_generated_count') == count and
+               summary.get('pending_initial_zero_prefix') == prefix and
+               summary.get('pending_tail_shape') == [delay, 4064])
+    else:
+        _check(checks, role+'.no_extra_brain_or_apl_ticks',
+               timing.get('brain_tail_advanced') is False and
+               timing.get('future_apl_decay_or_feedback_generated') is False and
+               timing.get('finite_generated_sequence_only') is True and
+               timing.get('closed_loop_branch_integrals_claimed_equal') is False and
+               timing.get('biological_delay_measurement_claimed') is False)
+        _check(checks, role+'.timing_summary_metadata', summary.get('apl_timing') == timing)
+
+
+def _finish(report, checks, differences, used, out_json):
+    report['checks'] = {name: bool(value) for name, value in checks.items()}
+    report['differences'] = differences
+    report['pass_all'] = bool(checks) and all(checks.values()) and 'error' not in report
+    report['failed_checks'] = sorted(name for name, value in checks.items() if not value)
+    report['evidence_sha256'] = {str(path): file_hash(path) for path in sorted(used) if path.is_file()}
+    save(out_json, report)
+    return report
+
+
+def compare(case_dir, gpu_dir, cpu_dir, out_json=None):
+    """Strict independent closed-loop comparison; out_json=None is read-only."""
+    case_dir, gpu_dir, cpu_dir = Path(case_dir), Path(gpu_dir), Path(cpu_dir)
+    if out_json is not None:
+        require(not Path(out_json).exists(), 'Refusing existing comparison report')
+    checks, differences, used = {}, {}, set()
+    report = {'kind': 'shared-APL-component closed-loop byte-exact comparison', 'pass_all': False,
+        'case_dir': str(case_dir), 'gpu_dir': str(gpu_dir), 'cpu_dir': str(cpu_dir),
+        'tolerance': None, 'signed_zero_included': True, 'timing_fields_compared': False,
+        'independent_CPU_all_components_claim': False, 'finite_generated_sequence_accounting_only': True,
+        'cross_delay_closed_loop_integrals_claimed_equal': False, 'biological_delay_measurement_claimed': False,
+        'scientific_apl_delay_fields_compared': True}
+    try:
+        spec = _read_json(case_dir/'spec.json', used)
+        steps, history = spec['steps'], spec['record_history']
+        delay = spec['apl_delay_steps']
+        require(type(delay) is int and delay in (0, 18), 'Explicit fixed delay 0 or 18 required')
+        require(type(steps) is int and steps > 0 and type(history) is bool and spec['dt_ms'] == .1,
+                'Invalid fixed case clock/history schema')
+        graph_dir, bundle_dir = Path(spec['graph_dir']), Path(spec['apl_bundle_dir'])
+        graph = {field: _read_array(graph_dir/(field+'.npy'), used) for field in
+                 ('nodes', 'edge_id', 'src', 'dst', 'ptr', 'signed_raw', 'weights')}
+        nodes = graph['nodes']
+        n, edges = len(nodes), len(graph['edge_id'])
+        require(n > 0 and edges > 0 and nodes.dtype == np.int32 and nodes.ndim == 1 and np.all((nodes >= 0) & (nodes < N_GLOBAL)) and
+                np.all(np.diff(nodes) > 0), 'Invalid canonical node identities')
+        require(graph['ptr'].dtype == np.int64 and graph['ptr'].shape == (n+1,) and graph['ptr'][0] == 0 and
+                graph['ptr'][-1] == edges and np.all(np.diff(graph['ptr']) >= 0), 'Invalid CSR')
+        for key, dtype in (('edge_id', 'int64'), ('src', 'int32'), ('dst', 'int32'), ('signed_raw', 'int64'), ('weights', 'float64')):
+            require(graph[key].dtype == np.dtype(dtype) and graph[key].shape == (edges,), 'Invalid graph '+key)
+        require(np.array_equal(graph['src'], np.repeat(np.arange(n, dtype=np.int32), np.diff(graph['ptr']))) and
+                np.all((graph['dst'] >= 0) & (graph['dst'] < n)), 'Invalid source/destination row mapping')
+        require(history == (n < 512) and (n < 512 or n == N_GLOBAL), 'Invalid small/full history declaration')
+        require(np.all(graph['edge_id'] >= 0) and np.all(np.diff(graph['edge_id']) > 0),
+                'Original canonical edge IDs must be unique and increasing')
+        if n == N_GLOBAL:
+            require(edges == 25582938 and np.array_equal(nodes, np.arange(n, dtype=np.int32)) and
+                    np.array_equal(graph['edge_id'], np.arange(edges, dtype=np.int64)), 'Full canonical graph identity changed')
+        bundle = {name: _read_array(bundle_dir/name, used) for name in BUNDLE_FILES}
+        kc, apl_ids = bundle['kc_globals.npy'], bundle['apl_globals.npy']
+        require(kc.dtype == apl_ids.dtype == np.int32 and kc.shape == (4064,) and apl_ids.shape == (2,), 'Invalid APL/KC identities')
+        require(np.all((kc >= 0) & (kc < N_GLOBAL)) and np.all(np.diff(kc) > 0) and
+                np.all((apl_ids >= 0) & (apl_ids < N_GLOBAL)) and np.all(np.diff(apl_ids) > 0) and
+                not np.intersect1d(kc, apl_ids).size, 'APL/KC identities overlap or are invalid')
+        for key, shape in (('input_matrix.npy', (2, N_GLOBAL)), ('output_matrix.npy', (2, 4064))):
+            require(bundle[key].dtype == np.float32 and bundle[key].shape == shape and
+                    np.isfinite(bundle[key]).all() and np.all(bundle[key] >= 0), 'Invalid normalized APL matrix')
+        gpu = _load_run(gpu_dir, 'gpu', n, edges, steps, history, spec['name'], delay, used, checks)
+        cpu = _load_run(cpu_dir, 'cpu', n, edges, steps, history, spec['name'], delay, used, checks)
+        _pair_outputs(gpu, cpu, checks, differences, n, steps, history)
+        used.add(case_dir/'requests.npz')
+        with np.load(case_dir/'requests.npz', allow_pickle=False) as source:
+            require(set(source.files) == {'tick', 'neuron_idx'} and source['tick'].dtype == source['neuron_idx'].dtype == np.int32,
+                    'Fixed request NPZ schema changed')
+            require(source['tick'].shape == source['neuron_idx'].shape and source['tick'].ndim == 1, 'Invalid sparse request shape')
+            requested = list(zip(map(int, source['tick']), map(int, source['neuron_idx'])))
+        for role, run in (('gpu', gpu), ('cpu', cpu)):
+            _independent_event_accounting(run, role, graph, requested, steps, checks, differences)
+            _check_apl_application(run, role, nodes, kc, checks, differences)
+            _timing_sequence_checks(run['apl']['inhibition'], run['apl']['applied'], run['pending'],
+                                    delay, role, checks, differences)
+            _timing_metadata_checks(run, role, delay, steps, checks)
+
+        # Independently derive the effective clone. Original graph weights stay read-only.
+        cpu_weights = _read_array(cpu_dir/'weights.npy', used)
+        require(cpu_weights.dtype == np.float64 and cpu_weights.shape == (edges,), 'CPU effective weight schema mismatch')
+        expected_hash, base_hash, mask_hash = hashlib.sha256(), hashlib.sha256(), hashlib.sha256()
+        weight_ok, mask_count = True, 0
+        for start in range(0, edges, 1 << 20):
+            stop = min(edges, start+(1 << 20))
+            original = np.asarray(graph['weights'][start:stop])
+            require(np.isfinite(original).all(), 'Nonfinite original weights')
+            raw_expected = graph['signed_raw'][start:stop]*(.275*.001)
+            require(not np.any(_bit_mask(original, raw_expected)), 'Original SI weights differ from unaltered signed contacts')
+            mask = np.isin(nodes[graph['src'][start:stop]], apl_ids)
+            expected = original.copy()
+            expected[mask] = np.float64(0)
+            mask_count += int(mask.sum())
+            expected_hash.update(np.ascontiguousarray(expected, dtype='<f8').tobytes())
+            base_hash.update(np.ascontiguousarray(original, dtype='<f8').tobytes())
+            mask_hash.update(np.ascontiguousarray(graph['edge_id'][start:stop][mask], dtype='<i8').tobytes())
+            weight_ok &= not np.any(_bit_mask(expected, cpu_weights[start:stop]))
+        expected_sha = expected_hash.hexdigest()
+        _check(checks, 'cpu.effective_weights_independent_bytes', weight_ok)
+        for role, run in (('gpu', gpu), ('cpu', cpu)):
+            _check(checks, role+'.effective_weights_raw_sha', run['summary'].get('effective_weights_raw_sha256') == expected_sha)
+            _check(checks, role+'.apl_fast_edge_count', run['summary'].get('apl_fast_edges_zeroed') == mask_count)
+            _check(checks, role+'.kc_target_count', run['summary'].get('kc_targets_present') == len(np.intersect1d(nodes, kc)))
+        mask_audit = _read_json(cpu_dir/'apl-mask-audit.json', used)
+        _check(checks, 'cpu.mask_provenance', mask_audit['count'] == mask_count and
+            mask_audit['ordered_original_edge_id_sha256'] == mask_hash.hexdigest() and
+            mask_audit['base_weight_raw_bytes_sha256'] == base_hash.hexdigest() and
+            mask_audit['effective_weights_raw_sha256'] == expected_sha and mask_audit['base_graph_files_modified'] is False)
+
+        case_hashes = {name: file_hash(case_dir/name) for name in ('spec.json', 'requests.npz')}
+        if (case_dir/'arrays.npz').exists():
+            case_hashes['arrays.npz'] = file_hash(case_dir/'arrays.npz')
+            used.add(case_dir/'arrays.npz')
+        baseline_coeff = _read_json(Path(spec['coefficients_path']), used)
+        actual_coeff = _read_json(cpu_dir/'coefficients.json', used)
+        _check(checks, 'cpu.actual_author_coefficients_exact', all(float(actual_coeff[key]).hex() == float(baseline_coeff[key]).hex()
+                                                               for key in COEFFICIENTS))
+        audit = _read_json(cpu_dir/'input-audit.json', used)
+        expected_graph_hashes = {name: file_hash(graph_dir/name) for name in
+            tuple(field+'.npy' for field in graph)+('completeness.csv', 'connectivity.parquet')}
+        bundle_hashes = {name: file_hash(bundle_dir/name) for name in BUNDLE_FILES}
+        _check(checks, 'cpu.read_actual_case', audit['spec'] == spec and audit['case_hashes'] == case_hashes)
+        _check(checks, 'cpu.graph_hashes', audit['graph_hashes'] == expected_graph_hashes)
+        _check(checks, 'cpu.bundle_hashes', audit['bundle_hashes'] == bundle_hashes)
+        _check(checks, 'cpu.no_candidate_trace_input', audit.get('candidate_trace_used_as_input') is False and
+               cpu['summary'].get('candidate_trace_used_as_input') is False)
+        _check(checks, 'cpu.worker_source_hash', audit['legacy_apl_worker_sha256'] == file_hash(spec['legacy_apl_worker']))
+        _check(checks, 'cpu.coefficient_input_hash', audit['coefficients_sha256'] == file_hash(spec['coefficients_path']))
+        gpu_hashes = dict(case_hashes, **{'base_weights.npy': file_hash(graph_dir/'weights.npy'),
+                                       'coefficients.json': file_hash(spec['coefficients_path'])})
+        _check(checks, 'gpu.input_hashes', gpu['summary']['input_sha256'] == gpu_hashes)
+        for role, run in (('gpu', gpu), ('cpu', cpu)):
+            component = run['component']
+            _check(checks, role+'.actual_component_bundle_bytes', component['files_sha256'] == bundle_hashes and
+                   component['array_sha256'] == {name: raw_hash(value) for name, value in bundle.items()})
+            _check(checks, role+'.component_dimensions_clock', component.get('ok') is True and
+                   component['protocol'] == 'phase4ag-apl-v1' and component['n_neurons'] == N_GLOBAL and
+                   component['n_apl'] == 2 and component['n_kc'] == 4064 and component['dt_ms'] == .1)
+            decay = np.float32(math.exp(-.1/20.0))
+            gain = np.float32(.01)
+            _check(checks, role+'.frozen_apl_constants', component['decay_f32_bits'] == f'{int(decay.view(np.uint32)):08x}' and
+                   component['gain_f32_bits'] == f'{int(gain.view(np.uint32)):08x}')
+            env = component['environment']
+            _check(checks, role+'.component_precision_environment', env['cuda_matmul_allow_tf32'] is False and
+                   env['float32_matmul_precision'] == 'highest' and env['precision_configuration_changed_by_component'] is False and
+                   '4090' in env['device_name'])
+        environment = _read_json(cpu_dir/'environment.json', used)
+        _check(checks, 'cpu.pinned_environment', environment['packages']['brian2'] == '2.5.1' and
+               environment['packages']['numpy'] == '1.22.3' and environment['packages']['sympy'] == '1.12' and
+               environment['Torch_imported_into_Brian'] is False and environment['author_precision'] == 'float64')
+        queue_audit = _read_json(cpu_dir/'queue-audit.json', used)
+        _check(checks, 'cpu.queue_observer_coverage', queue_audit['peek_calls'] == queue_audit['advance_calls'] == steps and
+               queue_audit['same_peek_object_returned'] is True and queue_audit['zero_weight_and_refractory_rejected_edges_retained'] is True)
+        _check(checks, 'cpu.sidecar_complete', cpu['summary']['APL_worker_exit_status'] == 0 and cpu['summary']['APL_worker_ticks'] == steps)
+        report.update(case=spec['name'], steps=steps, nodes=n, edges=edges, record_history=history, apl_delay_steps=delay,
+            total_spikes=len(gpu['state']['step']), active_neurons=int(np.count_nonzero(gpu['state']['counts'])),
+            requested=len(requested), accepted_requests=sum(row['accepted'] for row in gpu['requests']),
+            rejected_requests=sum(row['rejected'] for row in gpu['requests']),
+            arriving_edges=sum(row['count'] for row in gpu['queues']),
+            accepted_arriving_edges=sum(row['accepted_count'] for row in gpu['queues']),
+            apl_fast_edges_zeroed=mask_count, effective_weights_raw_sha256=expected_sha,
+            component_environment=gpu['component']['environment'],
+            limits=['APL Torch primitives are shared; original AST component validation is a separate required gate.',
+                    'Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.',
+                    'For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.',
+                    'Fixed-delay checks conserve this run\'s finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.',
+                    'This is exact agreement for the declared trajectory, not physiological validity or learning.'])
+    except Exception as error:
+        report['error'] = {'type': type(error).__name__, 'message': str(error)}
+    return _finish(report, checks, differences, used, out_json)
+
+
+def compare_gpu_repeats(first, second, out_json=None):
+    """Repeat equality only; the first run's independent oracle gate is separate."""
+    first, second = Path(first), Path(second)
+    if out_json is not None:
+        require(not Path(out_json).exists(), 'Refusing existing repeat report')
+    checks, differences, used = {}, {}, set()
+    report = {'kind': 'fresh-GPU-run exact repeat comparison', 'first': str(first), 'second': str(second),
+        'pass_all': False, 'tolerance': None, 'signed_zero_included': True, 'timing_fields_compared': False,
+        'scientific_apl_delay_fields_compared': True,
+        'scope': 'Scientific outputs, recording integrity and input hashes; independent case/graph audit belongs to compare()'}
+    try:
+        summary = _read_json(first/'summary.json', used)
+        n, edges, steps, name, history = (summary[key] for key in ('nodes', 'edges', 'steps', 'case', 'record_history'))
+        delay = summary['apl_delay_steps']
+        require(type(delay) is int and delay in (0, 18), 'Explicit repeat APL delay required')
+        require(type(n) is int and type(edges) is int and type(steps) is int and n > 0 and edges > 0 and steps > 0 and
+                type(history) is bool and history == (n < 512), 'Invalid repeat dimensions')
+        left = _load_run(first, 'first_gpu', n, edges, steps, history, name, delay, used, checks)
+        right = _load_run(second, 'second_gpu', n, edges, steps, history, name, delay, used, checks)
+        _pair_outputs(left, right, checks, differences, n, steps, history)
+        for role, run in (('first_gpu', left), ('second_gpu', right)):
+            _timing_sequence_checks(run['apl']['inhibition'], run['apl']['applied'], run['pending'],
+                                    delay, role, checks, differences)
+            _timing_metadata_checks(run, role, delay, steps, checks)
+        stable = ('case', 'complete', 'pass_all', 'steps', 'completed_ticks', 'nodes', 'edges', 'precision',
+            'apl_precision', 'state_units', 'total_spikes', 'requested', 'accepted_requests', 'rejected_requests',
+            'arriving_edges', 'accepted_arriving_edges', 'counts_match_sparse_events', 'all_finite', 'record_history',
+            'apl_fast_edges_zeroed', 'kc_targets_present', 'effective_weights_raw_sha256', 'apl_schedule',
+            'apl_si_conversion', 'build', 'sealed_ae_backend_sha256', 'learning', 'input_sha256',
+            'apl_delay_steps', 'apl_timing', 'source_provenance', 'pending_generated_count',
+            'pending_initial_zero_prefix', 'pending_tail_shape', 'future_generated_decay_tail_included')
+        for key in stable:
+            _check(checks, 'summary.'+key, key in left['summary'] and key in right['summary'] and
+                   left['summary'][key] == right['summary'][key])
+            if not checks['summary.'+key]:
+                differences['summary.'+key] = {'first': left['summary'].get(key), 'second': right['summary'].get(key)}
+        report.update(case=name, steps=steps, nodes=n, edges=edges, record_history=history, apl_delay_steps=delay,
+            total_spikes=len(left['state']['step']),
+            explicit_exclusions=['wall_seconds', 'diagnostic_simulation_seconds', 'build_or_cache_seconds',
+                                 'peak_allocated_vram_bytes', 'peak_reserved_vram_bytes'])
+    except Exception as error:
+        report['error'] = {'type': type(error).__name__, 'message': str(error)}
+    return _finish(report, checks, differences, used, out_json)
+
diff --git a/models/male-cns-lif/apl-timing-lab-v1/config.json b/models/male-cns-lif/apl-timing-lab-v1/config.json
new file mode 100644
index 0000000..631144d
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/config.json
@@ -0,0 +1,24 @@
+{
+  "phase": "4AJ",
+  "name": "apl-timing-lab-v1",
+  "human_authorization": "允许独立新模型分支测试动力学假设",
+  "gpu_uuid": "GPU-79f3a85d-adce-7833-7003-6488140ca596",
+  "neurons": 166700,
+  "edges": 25582938,
+  "raw_weight_sum": 124177617,
+  "delays_steps": [0, 18],
+  "dt_ms": 0.1,
+  "apl": {"tau_ms": 20.0, "gain": 0.01, "normalization": 1.0},
+  "fixtures": ["zero", "pn_pulse", "kc_ref_boundary", "two_sources", "arrival_collision", "natural_request", "apl_only", "high_fanin"],
+  "fixture_repeats": 3,
+  "calibration": {"split": "calibration", "odor_count": 6, "modes": ["physiological", "matched_energy"], "seeds": [51101,51102,51103,51104,51105], "duration_ms": 100.0, "median_scope": "original frozen 12-odor panel", "full_oracle_probes": ["cal-physiological-00-s51101", "cal-matched_energy-00-s51101"], "repeat_first_seed_each_odor": true},
+  "gates": {"sparse_min_fraction": 0.03, "sparse_max_fraction": 0.09, "max_fraction_strict": 0.5, "min_fraction_strict": 0.0, "minimum_separable_odor_pairs": 3, "same_jaccard_gt_between": true, "between_euclidean_gt_within": true, "both_modes_required": true, "finite_required": true, "repeat_exact_required": true},
+  "output_budget_bytes": 25769803776,
+  "origin_audit_budget_bytes": 2147483648,
+  "training": false,
+  "heldout_dynamic_access": false,
+  "candidate_generation": false,
+  "hypothesis": "Only delay the entire generated graded-APL h by 18 exact steps; zero delay is a fresh replay of sealed AG control. Engineering scheduling parity, not measured MaleCNS physiology. No change to I/O, gain, state update, fast-APL zero mask, neuron coefficients, inputs or biological observation window.",
+  "tail_contract": "pending tail is the next D queue slots, shape(D,4064); if T<D its initial zero prefix is not generated future output. Do not advance the brain or APL after the original window. Closed-loop h totals are not forced to match.",
+  "selection_policy": "Both arms and all fixed CAL cases retained regardless of representation outcome. Stop later scientific execution on numerical/oracle/integrity failure. No scan, tuning, favorable seed or result selection."
+}
diff --git a/models/male-cns-lif/apl-timing-lab-v1/context.py b/models/male-cns-lif/apl-timing-lab-v1/context.py
new file mode 100644
index 0000000..8aa6e84
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/context.py
@@ -0,0 +1,92 @@
+"""Independent APL scheduling hypothesis; every earlier artifact is read-only."""
+import hashlib
+import importlib.util
+import json
+import sys
+from pathlib import Path
+
+ROOT = Path('/data/digital-drosophila')
+MODEL = Path(__file__).resolve().parent
+EXP = ROOT / 'experiments/phase4aj-apl-timing'
+AI_MODEL = ROOT / 'models/male-cns-lif/pn-recruitment-audit-v1'
+AI = ROOT / 'experiments/phase4ai-pn-recruitment-audit'
+AH_MODEL = ROOT / 'models/male-cns-lif/kc-drive-audit-v1'
+AG_MODEL = ROOT / 'models/male-cns-lif/author-apl-lab-v2'
+AG = ROOT / 'experiments/phase4ag-author-apl-r2'
+META = ROOT / 'datasets/male-cns-v1.0/processed/neuron-only/neuron-index/unified-metadata.parquet'
+COEFF = ROOT / 'experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json'
+CFG = json.loads((MODEL / 'config.json').read_text(encoding='utf-8'))
+
+
+def load_module(name, path):
+    spec = importlib.util.spec_from_file_location(name, path)
+    module = importlib.util.module_from_spec(spec)
+    sys.modules[name] = module
+    spec.loader.exec_module(module)
+    return module
+
+
+def digest(path):
+    h = hashlib.sha256()
+    with Path(path).open('rb') as f:
+        for block in iter(lambda: f.read(8 << 20), b''):
+            h.update(block)
+    return h.hexdigest()
+
+
+def read(path):
+    return json.loads(Path(path).read_text(encoding='utf-8'))
+
+
+def save(path, value):
+    path = Path(path)
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open('x', encoding='utf-8') as f:
+        json.dump(value, f, indent=2, ensure_ascii=False, allow_nan=False)
+        f.write('\n')
+
+
+def sources():
+    return {p.relative_to(MODEL).as_posix(): digest(p) for p in sorted(MODEL.rglob('*')) if p.is_file()
+            and '__pycache__' not in p.parts and p.name not in ('manifest.json', 'checksums.sha256')}
+
+
+def integrity():
+    previous = load_module('sealed_ai_context_aj', AI_MODEL / 'context.py')
+    result = previous.integrity()
+    sys.path.insert(0, str(ROOT / 'models/male-cns-lif/terminal-scope-diagnostic-v1'))
+    from diagnostic import manifest_check
+    for path in (AI_MODEL, AI):
+        result[str(path.relative_to(ROOT))] = manifest_check(path, digest)
+    assert all(r['pass'] for r in result.values())
+    return result
+
+
+def check():
+    registered = read(EXP / 'protocol/preregistered.json')
+    assert registered['sources'] == sources(), 'Registered sources changed'
+    for row in registered['inputs']:
+        assert digest(ROOT / row['path']) == row['sha256'], row['path']
+    for row in read(EXP / 'protocol/prepared-hashes.json'):
+        assert digest(EXP / row['path']) == row['sha256'], row['path']
+    return registered
+
+
+def budget():
+    size = sum(p.stat().st_size for p in EXP.rglob('*') if p.is_file())
+    assert size < CFG['output_budget_bytes'], 'Output budget exceeded; preserve partial work'
+    return size
+
+
+def seal(root):
+    rows = [dict(path=str(p.relative_to(root)), bytes=p.stat().st_size, sha256=digest(p))
+            for p in sorted(root.rglob('*')) if p.is_file() and '__pycache__' not in p.parts]
+    save(root / 'manifest.json', dict(root=str(root), files=rows))
+    with (root / 'checksums.sha256').open('x') as f:
+        for row in rows:
+            f.write(row['sha256'] + '  ' + row['path'] + '\n')
+        f.write(digest(root / 'manifest.json') + '  manifest.json\n')
+
+
+def bit_equal(a, b):
+    return a.dtype == b.dtype and a.shape == b.shape and a.tobytes() == b.tobytes()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/finalize.py b/models/male-cns-lif/apl-timing-lab-v1/finalize.py
new file mode 100644
index 0000000..8558fb3
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/finalize.py
@@ -0,0 +1,156 @@
+"""Recheck raw evidence and seal this explicit scheduling hypothesis, not learning."""
+from context import ROOT, MODEL, EXP, AG, CFG, check, save, read, digest, integrity, budget, seal
+
+
+def optional(path):
+    return read(path) if path.exists() else None
+
+
+def main():
+    from compare_timing import compare, compare_gpu_repeats
+    from calibration import control_identity, summarize
+    check(); budget()
+    arms = ['delay' + str(delay) for delay in CFG['delays_steps']]
+    expected_cases = CFG['fixtures'] + CFG['calibration']['full_oracle_probes']
+    comparisons, repeats, controls, components = {}, {}, {}, {}
+    for arm in arms:
+        for name in expected_cases:
+            path = EXP / 'audit' / f'compare-{arm}-{name}.json'
+            if path.exists():
+                actual = compare(EXP / 'cases' / arm / name, EXP / 'gpu' / arm / (name + '-r0'), EXP / 'oracle' / arm / name, None)
+                assert actual == read(path), 'Changed raw oracle evidence: ' + arm + '/' + name
+                comparisons[arm + '/' + name] = actual['pass_all']
+            path = EXP / 'component-audit' / arm / (name + '.json')
+            if path.exists():
+                report = read(path)
+                assert set(report.get('input_sha256', {})) == {'state.npz', 'summary.json',
+                    'apl-drive.float32.npy', 'apl-state.float32.npy', 'apl-inhibition.float32.npy'}
+                for filename, sha in report['input_sha256'].items():
+                    assert digest(EXP / 'gpu' / arm / (name + '-r0') / filename) == sha
+                assert set(report.get('matrix_checks', {})) == {'input_matrix', 'output_matrix', 'input_raw', 'output_raw',
+                    'kc_globals', 'apl_globals', 'pn_globals', 'apl_out_ids', 'input_scale', 'output_scale'}
+                assert set(report.get('ast_replay_bitwise_exact', {})) == {'drive', 'state', 'inhibition'}
+                assert set(report.get('float64_measurement', {})) == {'drive', 'state', 'inhibition'}
+                actual_pass = bool(not report.get('error') and all(report['matrix_checks'].values()) and
+                    all(report['ast_replay_bitwise_exact'].values()) and report['theoretical_bound']['applicable'] and
+                    all(metric['bound_violations'] == 0 for metric in report['float64_measurement'].values()))
+                assert report['pass_all'] == actual_pass
+                components[arm + '/' + name] = actual_pass
+        for name in CFG['fixtures']:
+            for repeat in range(1, CFG['fixture_repeats']):
+                path = EXP / 'audit' / f'repeat-{arm}-{name}-r{repeat}.json'
+                if path.exists():
+                    actual = compare_gpu_repeats(EXP / 'gpu' / arm / (name + '-r0'), EXP / 'gpu' / arm / f'{name}-r{repeat}', None)
+                    assert actual == read(path), 'Changed raw repeat evidence'
+                    repeats[f'{arm}/{name}-r{repeat}'] = actual['pass_all']
+    for name in expected_cases:
+        path = EXP / 'audit' / f'control-{name}.json'
+        if path.exists():
+            actual = control_identity(EXP / 'gpu/delay0' / (name + '-r0'), AG / 'gpu' / (name + '-r0'), EXP / 'cases/delay0' / name)
+            assert actual == read(path), 'Changed delay0 control evidence'
+            controls[name] = actual['pass_all']
+    origin = optional(EXP / 'origin-audit/summary.json')
+    cal_records = read(EXP / 'protocol/calibration-cases.json')
+    origin_complete = False
+    if origin:
+        expected_origin = {row['name']: row for row in cal_records}
+        assert len(expected_origin) == len(cal_records) == 60
+        assert len(origin['trials']) == 60 and {row['case'] for row in origin['trials']} == set(expected_origin)
+        for row in origin['trials']:
+            original = expected_origin[row['case']]
+            assert row['repeat'] == 0 and row['ALLN_targets'] == 420 and row['pass_all']
+            assert set(row['exact']) == {'step', 'neuron_idx', 'counts', 'v', 'g', 'ref'} and all(row['exact'].values())
+            assert all(row[key] == original[key] for key in ('mode', 'odor_id', 'seed'))
+        origin_complete = True
+        for row in origin['trials']:
+            trial = EXP / 'origin-audit' / row['case']
+            assert digest(trial / 'summary.json') == row['summary_sha256']
+            for payload in read(trial / 'output-hashes.json'):
+                assert digest(trial / payload['path']) == payload['sha256']
+            for filename, sha in read(trial / 'summary.json')['input_sha256'].items():
+                assert digest(ROOT / filename) == sha
+    shift = optional(EXP / 'audit/shift-gate.json')
+    shift_complete = False
+    if shift:
+        expected_shift = {(name, delay) for name in CFG['fixtures'] + [row['name'] for row in cal_records] for delay in CFG['delays_steps']}
+        assert len(shift['records']) == len(expected_shift) == 136
+        assert {(row['case'], row['delay_steps']) for row in shift['records']} == expected_shift
+        assert all(row['pass_all'] for row in shift['records'])
+        shift_complete = True
+        from shift_audit import transport
+        import numpy as np
+        for row in shift['records']:
+            source = AG / 'gpu' / (row['case'] + '-r0') / 'apl-inhibition.float32.npy'
+            assert digest(source) == row['input_sha256']
+            _, _, actual = transport(np.load(source, mmap_mode='r', allow_pickle=False), row['delay_steps'])
+            assert all(row[key] == value for key, value in actual.items())
+    cal = optional(EXP / 'calibration/summary.json')
+    if cal is not None:
+        assert summarize(out_json=None) == cal, 'CAL scientific evidence changed'
+    expected = {arm + '/' + name for arm in arms for name in expected_cases}
+    expected_repeats = {f'{arm}/{name}-r{repeat}' for arm in arms for name in CFG['fixtures'] for repeat in range(1, CFG['fixture_repeats'])}
+    numerical = bool(origin_complete and origin['pass_all'] and shift_complete and shift['pass_all'] and
+        set(comparisons) == set(components) == expected and set(repeats) == expected_repeats and
+        set(controls) == set(expected_cases) and all(comparisons.values()) and all(components.values()) and
+        all(repeats.values()) and all(controls.values()))
+    gates = {name: optional(EXP / 'audit' / (name + '-gate.json')) for name in ('fixtures', 'probes', 'calibration')}
+    numerical = numerical and all(gates[name] and gates[name]['pass_all'] for name in ('fixtures', 'probes'))
+    cal_execution = bool(cal and cal['execution_gate_pass'] and gates['calibration'] and gates['calibration']['pass_all'])
+    treatment_pass = bool(cal and cal.get('arms', {}).get('delay18', {}).get('original_representation_gate_pass', False))
+    baseline_pass = bool(cal and cal.get('arms', {}).get('delay0', {}).get('original_representation_gate_pass', False))
+    frozen = read(EXP / 'regression/frozen-five.json')
+    after = integrity()
+    save(EXP / 'regression/old-integrity-after.json', after)
+    oldpass = bool(frozen['pass_all'] and all(row['pass'] for row in after.values()))
+    if not oldpass:
+        status = 'FAIL-FROZEN-INTEGRITY-OR-REGRESSION'
+    elif numerical and cal_execution:
+        status = 'PASS-FIXED-CAL-APL-TIMING-HYPOTHESIS' if treatment_pass else 'FAIL-FIXED-CAL-APL-TIMING-HYPOTHESIS'
+    elif (any(not passed for group in (comparisons, components, repeats, controls) for passed in group.values()) or
+          any(report is not None and not report['pass_all'] for report in (origin, shift, *gates.values())) or
+          cal is not None and not cal['execution_gate_pass']):
+        status = 'FAIL-NUMERICAL-OR-CONTROL-GATE'
+    else:
+        status = 'INCOMPLETE-NUMERICAL-OR-CAL-EXECUTION'
+    measurements = []
+    for path in sorted((EXP / 'gpu').glob('*/*/summary.json')):
+        summary = read(path)
+        measurements.append(dict(arm=path.parent.parent.name, run=path.parent.name,
+            **{key: summary[key] for key in ('case', 'total_spikes', 'accepted_requests', 'nodes', 'edges',
+                'diagnostic_simulation_seconds', 'peak_allocated_vram_bytes')}))
+    result = dict(status=status, numerical_gate_pass=bool(numerical), full_CAL_execution_gate_pass=cal_execution,
+        delay0_representation_pass=baseline_pass, delay18_representation_pass=treatment_pass,
+        origin_audit=origin, fixed_trace_shift=shift, gates=gates, comparisons=comparisons,
+        repeats=repeats, controls=controls, components=components, calibration=cal,
+        stopped=[dict(path=str(path.relative_to(EXP)), report=read(path)) for path in sorted((EXP / 'audit').glob('stopped-*.json'))],
+        old_frozen_integrity_and_five_reference_pass=oldpass, measurements=measurements,
+        unchanged_APL_parameters=CFG['apl'], explicit_hypothesis=CFG['hypothesis'],
+        delay_steps=CFG['delays_steps'], biological_delay_measured=False,
+        APL_nonKC_fast_edges_unreplaced=1212, shared_APL_arithmetic_oracle_limitation=True,
+        whole_brain_equal_inhibition_integral_claim=False, universal_equivalence_claim=False,
+        heldout_generalization_tested=False, learning_achieved=False, candidate_generated=False,
+        payload_bytes_before_manifest=budget(),
+        next_gate='Independent seeds and novel-odor representation; then credit specificity and functional learning' if numerical and cal_execution and treatment_pass
+            else 'Report the first failed gate for this fixed hypothesis; no tuning or conditioning promotion')
+    save(EXP / 'audit/final-status.json', result)
+    with (EXP / 'REPORT.md').open('x', encoding='utf-8') as stream:
+        stream.write('\n'.join(['# Phase 4AJ — fixed graded-APL timing branch', '', f'Status: `{status}`.', '',
+            f'Numerical gate: {numerical}. Complete both CAL arms: {cal_execution}.',
+            f'Original representation gate: delay0={baseline_pass}; delay18={treatment_pass}.',
+            'Only generated h application time changes: zero versus 18 steps. No brain gain, input, learning or mask change.',
+            'This is an engineering scheduling hypothesis, not measured MaleCNS APL delay. It delays PN- and KC-derived h together.',
+            'Finite stored generated samples are preserved in applied output or pending tail; the brain is not advanced to flush the tail.',
+            'Closed-loop generated h and accepted requests can differ between arms; equal total inhibition is not assumed.',
+            'Independent Brian LIF and candidate share legacy Torch APL arithmetic; component and separate delay-queue audits qualify this limit.',
+            'Original fast APL mask still leaves 1,212 non-KC edges unreplaced. No silent scope change.',
+            'The origin audit identifies timed real-edge antecedents, not unique or necessary biological causes.',
+            f'Frozen checksums and five reference trials: {oldpass}.',
+            'Costs include diagnostic synchronization, IPC, hashes and tracing; these are not production runtime benchmarks.',
+            'No heldout trajectories, conditioning, learned model, reward interface, game, decoder or candidate.',
+            'Next gate: ' + result['next_gate'], '']))
+    check(); seal(MODEL); seal(EXP)
+    print(status, flush=True)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/gpu_timing.py b/models/male-cns-lif/apl-timing-lab-v1/gpu_timing.py
new file mode 100644
index 0000000..68680a3
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/gpu_timing.py
@@ -0,0 +1,453 @@
+"""Phase 4AJ isolated fixed-delay graded-APL timing branch.
+
+Copied from sealed AG-r2 gpu_apl.py; only dynamics change is a 0/18-step
+float32 output delay before the unchanged unconditional end-stage g write.
+The sealed LegacyAPL and AE CUDA operators are loaded explicitly, unmodified.
+Generated h is still logged separately. No extra brain/tail ticks are run.
+This is engineering schedule parity, not a measured biological delay claim.
+"""
+from functools import lru_cache
+import csv
+import difflib
+import importlib.util
+import hashlib
+import json
+import math
+from pathlib import Path
+import time
+import traceback
+import sys
+
+import numpy as np
+import torch
+
+from timing_queue import audit_sequence
+
+
+SOURCE_ROOT = Path(__file__).resolve().parent
+AE_MODEL = SOURCE_ROOT.parent / "author-runtime-lab-v1"
+AF_MODEL = SOURCE_ROOT.parent / "author-fullgraph-lab-v1"
+AG_MODEL = SOURCE_ROOT.parent / "author-apl-lab-v2"
+N_NEURONS = 166700
+SEALED_SHA256 = {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+}
+COEFFICIENT_NAMES = ("gd", "c0", "cg", "cv", "threshold", "reset", "seed_volt")
+REQUEST_FIELDS = ("tick", "neuron_idx", "attempted", "accepted", "rejected")
+
+
+def require(condition, message):
+    if not condition:
+        raise ValueError(message)
+
+
+def write_json(path, value):
+    with Path(path).open("x", encoding="utf-8") as output:
+        json.dump(value, output, indent=2, allow_nan=False)
+        output.write("\n")
+
+
+def raw_hash(value, dtype):
+    return hashlib.sha256(np.ascontiguousarray(value, dtype=dtype).tobytes()).hexdigest()
+
+
+def file_sha256(path):
+    digest = hashlib.sha256()
+    with Path(path).open("rb") as source:
+        for block in iter(lambda: source.read(8 << 20), b""):
+            digest.update(block)
+    return digest.hexdigest()
+
+
+def load_source(path, name, expected_hash):
+    """Load a sealed source under a unique name; never patch its globals."""
+    path = Path(path)
+    require(file_sha256(path) == expected_hash, "Sealed source changed: " + str(path))
+    spec = importlib.util.spec_from_file_location(name, path)
+    require(spec is not None and spec.loader is not None, "Cannot load sealed module")
+    module = importlib.util.module_from_spec(spec)
+    sys.modules[name] = module
+    try:
+        spec.loader.exec_module(module)
+    except BaseException:
+        sys.modules.pop(name, None)
+        raise
+    return module
+
+
+@lru_cache(maxsize=1)
+def sealed_apl():
+    return load_source(AG_MODEL / "legacy_apl_worker.py", "phase4aj_sealed_ag_worker",
+                       SEALED_SHA256["ag_worker"])
+
+
+def source_audit(out_dir):
+    sources = {"ag_gpu": AG_MODEL / "gpu_apl.py", "ag_worker": AG_MODEL / "legacy_apl_worker.py",
+               "ae_backend": AE_MODEL / "gpu_backend.py", "af_queue": AF_MODEL / "oracle_full.py"}
+    actual = {key: file_sha256(path) for key, path in sources.items()}
+    require(actual == SEALED_SHA256, "Sealed implementation hash mismatch")
+    diff_path = out_dir / "sealed-gpu-source.diff"
+    with diff_path.open("x", encoding="utf-8", newline="\n") as output:
+        output.writelines(difflib.unified_diff(
+            sources["ag_gpu"].read_text(encoding="utf-8").splitlines(keepends=True),
+            Path(__file__).read_text(encoding="utf-8").splitlines(keepends=True),
+            fromfile="sealed-author-apl-lab-v2/gpu_apl.py",
+            tofile="new-apl-timing-lab-v1/gpu_timing.py"))
+    audit = {"sealed_source_sha256": actual, "candidate_sha256": file_sha256(__file__),
+             "source_diff_sha256": file_sha256(diff_path),
+             "module_globals_patched": False,
+             "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+             "diagnostic_additions": ["generated/applied/pending trace split", "fixed-sequence bitwise audit",
+                                      "source provenance and final APL state disclosure"]}
+    write_json(out_dir / "source-audit.json", audit)
+    return audit
+
+
+@lru_cache(maxsize=1)
+def sealed_backend():
+    return load_source(AE_MODEL / "gpu_backend.py", "phase4aj_sealed_ae_backend", SEALED_SHA256["ae_backend"])
+
+
+@lru_cache(maxsize=1)
+def queue_function():
+    return load_source(AF_MODEL / "oracle_full.py", "phase4aj_sealed_af_queue", SEALED_SHA256["af_queue"]).queue_summary
+
+
+@lru_cache(maxsize=4)
+def load_graph(graph_directory):
+    root = Path(graph_directory)
+    require(root.is_absolute(), "graph_dir must be absolute")
+    graph = {}
+    for name, dtype in (("nodes", np.int32), ("edge_id", np.int64), ("src", np.int32),
+                        ("dst", np.int32), ("signed_raw", np.int64), ("ptr", np.int64),
+                        ("weights", np.float64)):
+        value = np.load(root / (name + ".npy"), mmap_mode="r", allow_pickle=False)
+        require(value.dtype == dtype and value.ndim == 1, "Graph dtype/rank mismatch: " + name)
+        graph[name] = value
+    nodes, edges = graph["nodes"], graph["edge_id"]
+    n, e = len(nodes), len(edges)
+    require(0 < n <= N_NEURONS and bool(np.all((nodes >= 0) & (nodes < N_NEURONS))) and
+            bool(np.all(np.diff(nodes) > 0)), "Global node IDs must be sorted unique")
+    require(n < 512 or (n == N_NEURONS and np.array_equal(nodes, np.arange(N_NEURONS, dtype=np.int32))),
+            "Only small fixtures or the intact frozen full graph are permitted")
+    require(n != N_NEURONS or e == 25582938, "Full graph edge count changed")
+    for name in ("src", "dst", "signed_raw", "weights"):
+        require(graph[name].shape == (e,), "Graph edge array length mismatch: " + name)
+    ptr = graph["ptr"]
+    require(ptr.shape == (n + 1,) and ptr[0] == 0 and ptr[-1] == e and
+            bool(np.all(np.diff(ptr) >= 0)), "Invalid graph CSR")
+    require(np.array_equal(graph["src"], np.repeat(np.arange(n, dtype=np.int32), np.diff(ptr))),
+            "Source order does not match CSR")
+    # Global edge IDs need not equal local row indices in a fixture.
+    for start in range(0, e, 1 << 20):
+        stop = min(start + (1 << 20), e)
+        require(bool(np.all((graph["dst"][start:stop] >= 0) & (graph["dst"][start:stop] < n))),
+                "Local destination out of range")
+        require(bool(np.isfinite(graph["weights"][start:stop]).all()), "Nonfinite base SI weights")
+        require(np.array_equal(np.sign(graph["weights"][start:stop]), np.sign(graph["signed_raw"][start:stop])),
+                "Base weight sign/zero pattern differs from frozen raw contacts")
+        lo = max(0, start - 1)
+        require(bool(np.all(edges[start:stop] >= 0)) and bool(np.all(np.diff(edges[lo:stop]) > 0)),
+                "Global edge IDs must retain canonical increasing source/edge order")
+    return graph
+
+
+def load_inputs(case_dir):
+    spec = json.loads((case_dir / "spec.json").read_text(encoding="utf-8"))
+    for name in ("name", "steps", "dt_ms", "duration_ms", "model", "graph_dir", "apl",
+                 "apl_bundle_dir", "coefficients_path", "record_history", "apl_delay_steps"):
+        require(name in spec, "Missing case field: " + name)
+    require(type(spec["apl_delay_steps"]) is int and spec["apl_delay_steps"] in (0, 18),
+            "apl_delay_steps must be integer 0 or 18")
+    steps = spec["steps"]
+    require(type(steps) is int and 0 < steps <= 1000 and float(spec["dt_ms"]) == .1 and
+            float(spec["duration_ms"]) == steps * .1, "Unexpected steps/dt/duration")
+    require(type(spec["record_history"]) is bool, "record_history must be Boolean")
+    require(spec["apl"] == {"tau_ms": 20, "gain": .01, "normalization": 1}, "Frozen APL parameters changed")
+    for name in ("graph_dir", "apl_bundle_dir", "coefficients_path"):
+        require(Path(spec[name]).is_absolute(), "Input path must be absolute: " + name)
+    model = spec["model"]
+    for name in ("resting_potential_mv", "threshold_mv", "reset_potential_mv", "synaptic_delay_ms",
+                 "refractory_ms", "w_syn_mv_per_anatomical_synapse"):
+        require(name in model and math.isfinite(float(model[name])), "Invalid model field: " + name)
+    require(float(model["synaptic_delay_ms"]) == 1.8 and float(model["refractory_ms"]) == 2.2 and
+            float(model["w_syn_mv_per_anatomical_synapse"]) == .275, "Frozen delay/ref/W_syn changed")
+    coeff = json.loads(Path(spec["coefficients_path"]).read_text(encoding="utf-8"))
+    for name in COEFFICIENT_NAMES:
+        require(name in coeff and math.isfinite(float(coeff[name])), "Invalid author coefficient: " + name)
+    require(coeff["threshold"] == float(model["threshold_mv"]) * .001 and
+            coeff["reset"] == float(model["reset_potential_mv"]) * .001, "Coefficient threshold/reset mismatch")
+    graph = load_graph(str(Path(spec["graph_dir"]).resolve()))
+    n = len(graph["nodes"])
+    require(spec["record_history"] == (n < 512), "Fixtures need dense history; full graph must not duplicate dense histories")
+    with np.load(case_dir / "requests.npz", allow_pickle=False) as source:
+        require(set(source.files) == {"tick", "neuron_idx"}, "Request sparse schema changed")
+        ticks, requested = source["tick"].copy(), source["neuron_idx"].copy()
+    require(ticks.dtype == np.int32 and requested.dtype == np.int32 and ticks.ndim == 1 and
+            ticks.shape == requested.shape, "Invalid sparse request dtype/shape")
+    require(bool(np.all((ticks >= 0) & (ticks < steps))), "Request tick outside trial")
+    if len(ticks) > 1:
+        require(bool(np.all((ticks[1:] > ticks[:-1]) |
+                           ((ticks[1:] == ticks[:-1]) & (requested[1:] > requested[:-1])))),
+                "Requests must be sorted unique by tick/global neuron")
+    local = np.searchsorted(graph["nodes"], requested)
+    require(bool(np.all(local < n)) and np.array_equal(graph["nodes"][local], requested),
+            "Requested neuron absent from graph")
+    initial = {"initial_v_mv": np.full(n, float(model["resting_potential_mv"]), dtype=np.float64),
+               "initial_g_mv": np.zeros(n, dtype=np.float64)}
+    initial_path = case_dir / "arrays.npz"
+    if initial_path.exists():
+        with np.load(initial_path, allow_pickle=False) as source:
+            require(set(source.files).issubset(initial), "Unexpected initial-state array")
+            for name in source.files:
+                value = source[name]
+                require(value.dtype == np.float64 and value.shape == (n,) and bool(np.isfinite(value).all()),
+                        "Invalid initial state: " + name)
+                initial[name] = value.copy()
+    return spec, graph, coeff, ticks, requested, local, initial
+
+
+def new_array(path, dtype, shape):
+    require(not Path(path).exists(), "Refusing existing output: " + str(path))
+    return np.lib.format.open_memmap(path, mode="w+", dtype=dtype, shape=shape)
+
+
+def run_gpu(case_dir, out_dir, build_root):
+    """Run fresh candidate state; never consume oracle/candidate APL traces.
+
+    pass_all denotes internal recording/finite integrity only.  Independent
+    comparison and the original complete representation gate are separate.
+    """
+    case_dir, out_dir = Path(case_dir), Path(out_dir)
+    require(not out_dir.exists(), "Refusing existing output directory: " + str(out_dir))
+    out_dir.mkdir(parents=True, exist_ok=False)
+    start, tick, completed = time.perf_counter(), -1, 0
+    maps = {}
+    try:
+        source_provenance = source_audit(out_dir)
+        spec, graph, coeff, request_ticks, request_nodes, request_local, initial = load_inputs(case_dir)
+        require(torch.cuda.is_available() and torch.cuda.device_count() == 1 and
+                "4090" in torch.cuda.get_device_name(), "Only the declared single visible RTX4090 is permitted")
+        ext, build = sealed_backend().build_extension(build_root)
+        build_done = time.perf_counter()
+        apl = sealed_apl().LegacyAPL(spec["apl_bundle_dir"], spec["dt_ms"])
+        write_json(out_dir / "apl-component.json", apl.metadata)
+        device = apl.device
+        torch.cuda.reset_peak_memory_stats(device)
+        n, e, steps = len(graph["nodes"]), len(graph["edge_id"]), spec["steps"]
+
+        def upload(value, dtype):
+            return torch.from_numpy(np.array(value, copy=True, order="C")).to(device=device, dtype=dtype).contiguous()
+
+        indptr, dst = upload(graph["ptr"], torch.int64), upload(graph["dst"], torch.int32)
+        global_nodes_gpu = upload(graph["nodes"], torch.int64)
+        base_weights = upload(graph["weights"], torch.float64)
+        weights = base_weights.clone()
+        del base_weights
+        local_apl = np.flatnonzero(np.isin(graph["nodes"], apl.apl_globals)).astype(np.int64)
+        apl_out_mask = np.isin(graph["src"], local_apl)
+        if bool(np.any(apl_out_mask)):
+            weights[upload(apl_out_mask, torch.bool)] = 0.0
+        effective_hash = hashlib.sha256()
+        for offset in range(0, e, 1 << 20):
+            effective_hash.update(weights[offset:offset + (1 << 20)].cpu().numpy().astype("<f8", copy=False).tobytes())
+        common_kc, local_kc, full_kc = np.intersect1d(graph["nodes"], apl.kc_globals, assume_unique=True, return_indices=True)
+        kc_local_gpu, kc_full_gpu = upload(local_kc, torch.int64), upload(full_kc, torch.int64)
+        v = upload(initial["initial_v_mv"] * .001, torch.float64)
+        g = upload(initial["initial_g_mv"] * .001, torch.float64)
+        ref = torch.zeros(n, device=device, dtype=torch.int32)
+        counts = torch.zeros(n, device=device, dtype=torch.int32)
+        requests = torch.zeros(n, device=device, dtype=torch.uint8)
+        ring = torch.zeros((19, n), device=device, dtype=torch.uint8)
+        apl_delay = spec["apl_delay_steps"]
+        apl_ring = torch.zeros((apl_delay, 4064), device=device, dtype=torch.float32)
+        maps["apl_applied"] = new_array(out_dir / "apl-applied.float32.npy", np.float32, (steps, 4064))
+        for name, width in (("drive", 2), ("state", 2), ("inhibition", 4064)):
+            maps["apl_" + name] = new_array(out_dir / ("apl-" + name + ".float32.npy"), np.float32, (steps, width))
+        if spec["record_history"]:
+            for name, dtype in (("v", np.float64), ("g", np.float64), ("ref", np.int32)):
+                maps[name] = new_array(out_dir / (name + "-history." + np.dtype(dtype).name + ".npy"), dtype, (steps, n))
+                maps["pre_" + name] = new_array(out_dir / ("preAPL-" + name + "." + np.dtype(dtype).name + ".npy"), dtype, (steps, n))
+        event_steps, event_nodes = [], []
+        accepted_requests_total, due_total, accepted_due_total = 0, 0, 0
+        queue_summary = queue_function()
+        simulation_start = time.perf_counter()
+        with (out_dir / "queue.jsonl").open("x", encoding="utf-8", buffering=1) as queue_output, \
+             (out_dir / "tick-state-hashes.jsonl").open("x", encoding="utf-8", buffering=1) as hash_output, \
+             (out_dir / "requests.csv").open("x", encoding="utf-8", newline="", buffering=1) as request_output:
+            writer = csv.DictWriter(request_output, fieldnames=REQUEST_FIELDS)
+            writer.writeheader()
+            for tick in range(steps):
+                requests.zero_()
+                begin, end = np.searchsorted(request_ticks, (tick, tick + 1))
+                if end > begin:
+                    requested_local_gpu = upload(request_local[begin:end], torch.int64)
+                    requests[requested_local_gpu] = 1
+                    accepted = (ref[requested_local_gpu] <= 1).to(torch.uint8).cpu().numpy()
+                    accepted_requests_total += int(accepted.sum())
+                    writer.writerows({"tick": tick, "neuron_idx": int(node), "attempted": 1,
+                                      "accepted": int(ok), "rejected": 1 - int(ok)}
+                                     for node, ok in zip(request_nodes[begin:end], accepted))
+                spikes = ring[tick % 19]
+                ext.state_step(v, g, ref, requests, spikes, counts,
+                               *[float(coeff[name]) for name in COEFFICIENT_NAMES], 22)
+                expanded_global = np.empty(0, dtype=np.int64)
+                accepted_cpu = np.empty(0, dtype=np.uint8)
+                if tick >= 18:
+                    due = ring[(tick - 18) % 19]
+                    sources = torch.nonzero(due, as_tuple=False).flatten().contiguous()
+                    if sources.numel():
+                        degrees = indptr[sources + 1] - indptr[sources]
+                        offsets = (torch.cumsum(degrees, dim=0) - degrees).contiguous()
+                        edge_count = int(degrees.sum().item())
+                        expanded = torch.empty(edge_count, device=device, dtype=torch.int64)
+                        ext.fill_edges(indptr, sources, offsets, expanded)
+                        if edge_count:
+                            destination = dst[expanded]
+                            # Actual active fanout order, BEFORE stable target grouping.
+                            expanded_global = graph["edge_id"][expanded.cpu().numpy()].copy()
+                            accepted_cpu = (ref[destination.long()] == 0).to(torch.uint8).cpu().numpy().copy()
+                            order = torch.argsort(destination, stable=True)
+                            ordered_edges, ordered_targets = expanded[order].contiguous(), destination[order]
+                            boundary = torch.ones(edge_count, device=device, dtype=torch.bool)
+                            boundary[1:] = ordered_targets[1:] != ordered_targets[:-1]
+                            starts = torch.nonzero(boundary, as_tuple=False).flatten().contiguous()
+                            targets = ordered_targets[starts].contiguous()
+                            ext.apply_arrivals(ordered_edges, starts, targets, weights, g, ref)
+                queue = queue_summary(tick, expanded_global, accepted_cpu)
+                queue_output.write(json.dumps(queue, allow_nan=False) + "\n")
+                due_total += queue["count"]
+                accepted_due_total += queue["accepted_count"]
+                if spec["record_history"]:
+                    for name, value in (("v", v), ("g", g), ("ref", ref)):
+                        maps["pre_" + name][tick] = value.cpu().numpy()
+                if n == N_NEURONS:
+                    full_spikes = spikes
+                else:
+                    apl.spikes.zero_()
+                    apl.spikes[global_nodes_gpu] = spikes
+                    full_spikes = apl.spikes
+                drive, apl_state, h = apl.advance(full_spikes)
+                if apl_delay == 0:
+                    applied_h = h  # Exact legacy identity; no extra arithmetic.
+                else:
+                    slot = tick % apl_delay
+                    applied_h = apl_ring[slot].clone()
+                    apl_ring[slot].copy_(h)
+                # Mixed precision contract: widen f32 h EXACTLY, THEN multiply
+                # in f64, THEN subtract in f64.  Do not guard refractory KCs.
+                delta_si = applied_h[kc_full_gpu].to(torch.float64) * 0.001
+                g[kc_local_gpu] = g[kc_local_gpu] - delta_si
+                apl_cpu = {"drive": drive.cpu().numpy().copy(), "state": apl_state.cpu().numpy().copy(),
+                           "inhibition": h.cpu().numpy().copy(), "applied": applied_h.cpu().numpy().copy()}
+                for name, value in apl_cpu.items():
+                    maps["apl_" + name][tick] = value
+                actual = {"v": v.cpu().numpy().copy(), "g": g.cpu().numpy().copy(),
+                          "ref": ref.cpu().numpy().copy()}
+                finite = all(bool(np.isfinite(value).all()) for value in list(actual.values()) + list(apl_cpu.values()))
+                row = {"tick": tick, **{name + "_sha256": raw_hash(value, "<i4" if name == "ref" else "<f8")
+                                         for name, value in actual.items()}}
+                hash_output.write(json.dumps(row, allow_nan=False) + "\n")
+                if spec["record_history"]:
+                    for name, value in actual.items():
+                        maps[name][tick] = value
+                fired_local = torch.nonzero(spikes, as_tuple=False).flatten().cpu().numpy()
+                if len(fired_local):
+                    event_steps.append(np.full(len(fired_local), tick, dtype=np.int32))
+                    event_nodes.append(graph["nodes"][fired_local].copy())
+                completed += 1
+                if not finite:
+                    with (out_dir / "first-failure-state.npz").open("xb") as target:
+                        np.savez_compressed(target, tick=np.array(tick, dtype=np.int32), **actual,
+                                            **{"apl_" + name: value for name, value in apl_cpu.items()})
+                    require(False, "Nonfinite state; first failure saved")
+        torch.cuda.synchronize(device)
+
+        def joined(values):
+            return np.concatenate(values).astype(np.int32, copy=False) if values else np.empty(0, dtype=np.int32)
+
+        state = {"step": joined(event_steps), "neuron_idx": joined(event_nodes), "counts": counts.cpu().numpy(),
+                 "v": v.cpu().numpy(), "g": g.cpu().numpy(), "ref": ref.cpu().numpy()}
+        with (out_dir / "state.npz").open("xb") as target:
+            np.savez_compressed(target, **state)
+        event_locals = np.searchsorted(graph["nodes"], state["neuron_idx"])
+        counts_exact = np.array_equal(np.bincount(event_locals, minlength=n), state["counts"])
+        require(counts_exact and completed == steps, "Sparse events/counts/completed ticks mismatch")
+        for value in maps.values():
+            value.flush()
+        # Save the queue state, not an invented future APL/brain decay trace.
+        if apl_delay:
+            head = steps % apl_delay
+            ring_cpu = apl_ring.cpu().numpy()
+            pending = np.concatenate((ring_cpu[head:], ring_cpu[:head]), axis=0)
+        else:
+            pending = np.empty((0, 4064), dtype=np.float32)
+        with (out_dir / "apl-pending-tail.float32.npy").open("xb") as target:
+            np.save(target, pending, allow_pickle=False)
+        timing = audit_sequence(maps["apl_inhibition"], maps["apl_applied"], pending, apl_delay)
+        final_apl_state = apl.state.cpu().numpy().copy()
+        timing.update({
+            "generated_rows": steps,
+            "applied_generated_rows": max(steps - apl_delay, 0),
+            "pending_shape": [apl_delay, 4064],
+            "pending_application_tick_start": steps,
+            "pending_application_tick_stop_exclusive": steps + apl_delay,
+            "pending_generated_tick_start": max(0, steps - apl_delay),
+            "pending_generated_tick_stop_exclusive": steps,
+            "generated_trace": "apl-inhibition.float32.npy",
+            "applied_trace": "apl-applied.float32.npy",
+            "pending_trace": "apl-pending-tail.float32.npy",
+            "pending_raw_sha256": raw_hash(pending, "<f4"),
+            "final_apl_state_float32": final_apl_state.tolist(),
+            "final_apl_state_u32_bits": final_apl_state.view(np.uint32).tolist(),
+            "final_apl_state_nonzero": bool(np.any(final_apl_state != 0)),
+            "pending_queue_drained": apl_delay == 0,
+            "finite_generated_sequence_only": True,
+            "future_apl_decay_or_feedback_generated": False,
+            "closed_loop_branch_integrals_claimed_equal": False,
+            "biological_delay_measurement_claimed": False,
+        })
+        write_json(out_dir / "apl-timing-audit.json", timing)
+        summary = {"case": spec["name"], "complete": True, "pass_all": True,
+                   "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+                   "steps": steps, "completed_ticks": completed, "nodes": n, "edges": e, "precision": "float64",
+                   "apl_precision": "float32", "state_units": "SI volts", "total_spikes": len(state["step"]),
+                   "requested": len(request_nodes), "accepted_requests": accepted_requests_total,
+                   "rejected_requests": len(request_nodes) - accepted_requests_total,
+                   "arriving_edges": due_total, "accepted_arriving_edges": accepted_due_total,
+                   "counts_match_sparse_events": bool(counts_exact), "all_finite": True,
+                   "record_history": spec["record_history"], "apl_fast_edges_zeroed": int(apl_out_mask.sum()),
+                   "kc_targets_present": len(common_kc), "effective_weights_raw_sha256": effective_hash.hexdigest(),
+                   "apl_component": apl.metadata, "apl_schedule": "end, after threshold/reset and guarded arrivals, unconditional all KC",
+                   "apl_si_conversion": "applied h32 -> float64 -> multiply float64 0.001 -> separate float64 subtraction",
+                   "apl_delay_steps": apl_delay, "apl_timing": timing, "source_provenance": source_provenance,
+                   "pending_generated_count": min(steps, apl_delay),
+                   "pending_initial_zero_prefix": max(apl_delay - steps, 0),
+                   "pending_tail_shape": [apl_delay, 4064], "future_generated_decay_tail_included": False,
+                   "build": build, "sealed_ae_backend_sha256": file_sha256(AE_MODEL / "gpu_backend.py"),
+                   "shared_apl_component_oracle_limitation": True, "oracle_validation_claim": False,
+                   "learning": False, "performance_runtime_claim": False, "cpu_sync_each_tick": True,
+                   "build_or_cache_seconds": build_done - start,
+                   "diagnostic_simulation_seconds": time.perf_counter() - simulation_start,
+                   "wall_seconds": time.perf_counter() - start,
+                   "peak_allocated_vram_bytes": int(torch.cuda.max_memory_allocated(device)),
+                   "peak_reserved_vram_bytes": int(torch.cuda.max_memory_reserved(device)),
+                   "input_sha256": {"spec.json": file_sha256(case_dir / "spec.json"),
+                                    "requests.npz": file_sha256(case_dir / "requests.npz"),
+                                    "base_weights.npy": file_sha256(Path(spec["graph_dir"]) / "weights.npy"),
+                                    "coefficients.json": file_sha256(spec["coefficients_path"])}}
+        if (case_dir / "arrays.npz").exists():
+            summary["input_sha256"]["arrays.npz"] = file_sha256(case_dir / "arrays.npz")
+        write_json(out_dir / "summary.json", summary)
+        return summary
+    except Exception as error:
+        for value in maps.values():
+            value.flush()
+        write_json(out_dir / "error.json", {"complete": False, "pass_all": False,
+                   "tick_in_progress": tick, "completed_ticks": completed,
+                   "type": type(error).__name__, "message": str(error), "traceback": traceback.format_exc()})
+        raise
+
diff --git a/models/male-cns-lif/apl-timing-lab-v1/manifest.json b/models/male-cns-lif/apl-timing-lab-v1/manifest.json
new file mode 100644
index 0000000..2845a99
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/manifest.json
@@ -0,0 +1,110 @@
+{
+  "root": "/data/digital-drosophila/models/male-cns-lif/apl-timing-lab-v1",
+  "files": [
+    {
+      "path": "PROTOCOL.md",
+      "bytes": 4272,
+      "sha256": "d96aef0107f7b0791d16e475b749da418b8a38d2c56a94e0779de0cd6581a7de"
+    },
+    {
+      "path": "al_origin_audit.py",
+      "bytes": 33399,
+      "sha256": "7201871477a29ede31c7d6c6bf1c92700da3db5505e67ccfa7cb43126b8464b9"
+    },
+    {
+      "path": "calibration.py",
+      "bytes": 22786,
+      "sha256": "fb15ddeaa108305c8de697bbae36b23ab0414a7c58db51c66dce9feb4a048a0d"
+    },
+    {
+      "path": "compare_timing.py",
+      "bytes": 41221,
+      "sha256": "9010f070fba9b7c9cf2d86187ee2abc57f3ac606ebc08a42baad4f3922b51734"
+    },
+    {
+      "path": "config.json",
+      "bytes": 2149,
+      "sha256": "0b720e23aa7988b2b443e14951082b1ce9b061a183b7f858c0e0f3c0fc6fb25e"
+    },
+    {
+      "path": "context.py",
+      "bytes": 3436,
+      "sha256": "06d4994af3729d653263391ff3a3604f7c919e78562604e5c86acfa292d60ba0"
+    },
+    {
+      "path": "finalize.py",
+      "bytes": 11254,
+      "sha256": "0a2dbf9e5f889e9dd3491d036e6f92c17417a84482c5e1e49134c0993f7d68f2"
+    },
+    {
+      "path": "gpu_timing.py",
+      "bytes": 27083,
+      "sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b"
+    },
+    {
+      "path": "oracle_timing.py",
+      "bytes": 55279,
+      "sha256": "39d8c47c94bc2faddf016864a43e7715907fb987f56f7b27098060a88851f6be"
+    },
+    {
+      "path": "prepare.py",
+      "bytes": 5970,
+      "sha256": "bba71bcd52dcb78d9ae0fa93a8a43173a4669ecef038dce18ce7d82edd9bce50"
+    },
+    {
+      "path": "run_case.py",
+      "bytes": 2855,
+      "sha256": "d93e4fe2df542ce5a0f0adb5aceada583dc8c921f0159f426e50428d79d67a1d"
+    },
+    {
+      "path": "run_suite.py",
+      "bytes": 6161,
+      "sha256": "6f26c626acf9ef8e6fae7902af0cbf0bd176eb322529ca8aa203a9700716c889"
+    },
+    {
+      "path": "shift_audit.py",
+      "bytes": 2114,
+      "sha256": "46f380dac340acc91f226968bb493475a31777f8290fb20f9145a97c9009d845"
+    },
+    {
+      "path": "test_al_origin_audit.py",
+      "bytes": 9998,
+      "sha256": "4b75a39d36090b0a66cc7ad4b370ac785713fb58c366df2efcc55152d612fc2b"
+    },
+    {
+      "path": "test_calibration.py",
+      "bytes": 14734,
+      "sha256": "307a2848bf6d05aaa8105bb3558be2a74425894f96a4a2bd20af8b82cb8b6e25"
+    },
+    {
+      "path": "test_protocol.py",
+      "bytes": 10402,
+      "sha256": "cbae93c993ac9aa99bcce68ae2131c7f938f8a63e89779f8d3d79e36bf268dee"
+    },
+    {
+      "path": "tests/__init__.py",
+      "bytes": 76,
+      "sha256": "bfc0d9e17410c2c52ea1d9a5259c92964f16b118dbae8cecad258697b67e4bdc"
+    },
+    {
+      "path": "tests/test_compare_timing.py",
+      "bytes": 9226,
+      "sha256": "71876b36eef88c198aa8e833af547dbe772001c71b010707b656c165c8b54031"
+    },
+    {
+      "path": "tests/test_timing_queue.py",
+      "bytes": 5825,
+      "sha256": "4a375444dc732c3538df8aa4b81e43b5418754fcebebb0d02c16faad03d43195"
+    },
+    {
+      "path": "timing_queue.py",
+      "bytes": 4443,
+      "sha256": "54df6d4818e2a0c26e96fb0aaf5d9b71cd964981706da937562d48af79aca14e"
+    },
+    {
+      "path": "verify_frozen.py",
+      "bytes": 2725,
+      "sha256": "97d8a240b08baaca935f9c0278978883005dcd6fdbb4ca0d948074ef79fd349c"
+    }
+  ]
+}
diff --git a/models/male-cns-lif/apl-timing-lab-v1/oracle_timing.py b/models/male-cns-lif/apl-timing-lab-v1/oracle_timing.py
new file mode 100644
index 0000000..67b4c6f
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/oracle_timing.py
@@ -0,0 +1,890 @@
+"""Phase 4AJ graded-APL output-timing adapter of the sealed Phase 4AG oracle.
+
+Brian has no Torch dependency.  A separate, pinned science-Python process
+executes the unchanged legacy float32 APL operations from Brian's own spikes.
+This is independent LIF/scheduling validation with a shared APL numerical
+component, NOT an all-components-independent CPU oracle.  Only generated h
+transport is changed: h[t-D] is written at end(t), D in {0,18}.  The original
+Brian equations, anatomical delay, refractory policy and queue proxy stay as
+in the sealed source.  No future brain or APL generation ticks are run.
+"""
+from __future__ import annotations
+
+import csv
+import hashlib
+import importlib.metadata
+import json
+import math
+import os
+import platform
+import queue
+import struct
+import subprocess
+import sys
+import threading
+import time
+import types
+from contextlib import ExitStack
+from pathlib import Path
+
+import numpy as np
+
+
+BLOCK_BYTES = 8 << 20
+BASE_ORACLE_PATH = Path("/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py")
+BASE_ORACLE_SHA256 = "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea"
+LEGACY_WORKER_PATH = Path("/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py")
+LEGACY_WORKER_SHA256 = "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291"
+PROTOCOL = "phase4ag-apl-v1"
+AUTHOR_PATH = Path("/data/digital-drosophila/experiments/phase4ad-author-semantics/external-resources/model.py")
+AUTHOR_SHA256 = "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e"
+AE_PATH = Path("/data/digital-drosophila/models/male-cns-lif/author-runtime-lab-v1/oracle_stress.py")
+AE_SHA256 = "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409"
+AF_PATH = Path("/data/digital-drosophila/models/male-cns-lif/author-fullgraph-lab-v1/oracle_full.py")
+AF_SHA256 = "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+EVENT_DTYPE = np.dtype([("step", "<i4"), ("neuron_idx", "<i4")])
+BUNDLE_FILES = ("input_matrix.npy", "output_matrix.npy", "kc_globals.npy", "apl_globals.npy")
+_PROCESS_USED = False
+
+
+def _check(condition, message):
+    if not condition:
+        raise ValueError(message)
+
+
+def _save(path, value):
+    with Path(path).open("x", encoding="utf-8") as handle:
+        json.dump(value, handle, indent=2, sort_keys=True, allow_nan=False)
+        handle.write("\n")
+
+
+def _digest(path):
+    result = hashlib.sha256()
+    with Path(path).open("rb") as handle:
+        for block in iter(lambda: handle.read(BLOCK_BYTES), b""):
+            result.update(block)
+    return result.hexdigest()
+
+
+def _array_hash(array, dtype):
+    return hashlib.sha256(np.ascontiguousarray(array, dtype=dtype).tobytes()).hexdigest()
+
+
+def _load_checked(path, expected, name):
+    data = Path(path).read_bytes()
+    _check(hashlib.sha256(data).hexdigest() == expected, f"Pinned source hash mismatch: {path}")
+    module = types.ModuleType(name)
+    module.__file__ = str(path)
+    exec(compile(data, str(path), "exec"), module.__dict__)
+    return module
+
+
+def _python_entry(path):
+    """A venv is selected by its invocation path, not the resolved ELF target."""
+    entry = Path(path).absolute()
+    _check(entry.is_file(), f"Missing declared Python entry: {entry}")
+    return entry
+
+
+def _new_memmap(path, dtype, shape):
+    _check(not Path(path).exists(), f"Refusing to overwrite output: {path}")
+    return np.lib.format.open_memmap(path, mode="w+", dtype=dtype, shape=shape)
+
+
+def _budget(root, limit, reserve=0):
+    total = 0
+    for directory, _, filenames in os.walk(root, followlinks=False):
+        for filename in filenames:
+            total += (Path(directory) / filename).stat(follow_symlinks=False).st_size
+    _check(total + int(reserve) <= limit,
+           f"Output budget exceeded: {total}+{reserve}>{limit}; inputs and duration were not adjusted")
+    return total
+
+
+class _APLDelayFIFO:
+    """Independent list transport; no Brian/Torch import, arithmetic, or feedback.
+
+    Start with D distinct positive-zero vectors.  On tick t, append a copy of
+    generated h[t], then pop the oldest vector.  The remaining D vectors are
+    pending applications at ticks T..T+D-1 after T steps, NOT new future output.
+    """
+
+    def __init__(self, delay_steps):
+        _check(type(delay_steps) is int and delay_steps in (0, 18),
+               "apl_delay_steps must be an explicit integer 0 or 18")
+        self.delay_steps = delay_steps
+        self.tick = 0
+        self.finished = False
+        self.queue = [np.zeros(4064, dtype=np.float32) for _ in range(delay_steps)]
+
+    def step(self, tick, generated):
+        _check(not self.finished and type(tick) is int and tick == self.tick,
+               "APL FIFO ticks must be consecutive and cannot follow finish")
+        value = np.asarray(generated)
+        _check(value.dtype == np.dtype("float32") and value.shape == (4064,) and
+               np.isfinite(value).all() and np.all(value >= 0),
+               "APL FIFO requires one finite nonnegative float32 full-KC vector")
+        self.queue.append(value.copy())
+        applied = self.queue.pop(0)
+        _check(len(self.queue) == self.delay_steps, "APL FIFO length changed")
+        self.tick += 1
+        return applied
+
+    def finish(self, steps):
+        _check(not self.finished and type(steps) is int and steps == self.tick,
+               "APL FIFO did not cover every requested tick")
+        self.finished = True
+        if not self.queue:
+            return np.empty((0, 4064), dtype=np.float32)
+        return np.stack(self.queue).astype(np.float32, copy=False)
+
+
+class _PipeReader:
+    """One bounded reader thread, with timeout/EOF checks for every frame."""
+
+    def __init__(self, pipe, timeout):
+        self.pipe, self.timeout = pipe, float(timeout)
+        self.chunks = queue.Queue(maxsize=8)
+        self.buffer = bytearray()
+        self.thread = threading.Thread(target=self._pump, daemon=True)
+        self.thread.start()
+
+    def _pump(self):
+        try:
+            while True:
+                chunk = os.read(self.pipe.fileno(), 65536)
+                self.chunks.put(chunk)
+                if not chunk:
+                    return
+        except BaseException as error:
+            self.chunks.put(error)
+
+    def _fill(self, deadline):
+        remaining = deadline - time.monotonic()
+        if remaining <= 0:
+            raise TimeoutError("APL sidecar response timed out")
+        try:
+            chunk = self.chunks.get(timeout=remaining)
+        except queue.Empty as error:
+            raise TimeoutError("APL sidecar response timed out") from error
+        if isinstance(chunk, BaseException):
+            raise RuntimeError("APL sidecar stdout reader failed") from chunk
+        if not chunk:
+            raise EOFError("APL sidecar ended before a complete response")
+        self.buffer.extend(chunk)
+
+    def read(self, size):
+        deadline = time.monotonic() + self.timeout
+        while len(self.buffer) < size:
+            self._fill(deadline)
+        result = bytes(self.buffer[:size])
+        del self.buffer[:size]
+        return result
+
+    def line(self):
+        deadline = time.monotonic() + self.timeout
+        while b"\n" not in self.buffer:
+            _check(len(self.buffer) < 1 << 20, "APL sidecar handshake exceeds 1 MiB")
+            self._fill(deadline)
+        end = self.buffer.index(b"\n") + 1
+        result = bytes(self.buffer[:end])
+        del self.buffer[:end]
+        return result
+
+
+class _APLWorker:
+    def __init__(self, python, script, bundle_dir, stderr, timeout=180):
+        self.command = [str(python), "-B", str(script), "--bundle-dir", str(bundle_dir), "--dt-ms", "0.1"]
+        self.process = subprocess.Popen(self.command, stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE, stderr=stderr, bufsize=0, shell=False)
+        self.reader = _PipeReader(self.process.stdout, timeout)
+        self.tick = 0
+        try:
+            self.hello = json.loads(self.reader.line().decode("utf-8"))
+            _check(self.hello.get("ok") is True, "APL sidecar did not acknowledge initialization")
+            _check(self.hello.get("protocol") == PROTOCOL, "Unexpected APL sidecar protocol")
+            for key, value in (("n_neurons", 166700), ("n_apl", 2), ("n_kc", 4064)):
+                _check(self.hello.get(key) == value, f"APL sidecar changed {key}")
+            _check(self.hello.get("dt_ms") == .1, "APL sidecar changed dt")
+            expected_decay = f"{int(np.float32(math.exp(-.1 / 20.)).view(np.uint32)):08x}"
+            expected_gain = f"{int(np.float32(.01).view(np.uint32)):08x}"
+            _check(self.hello.get("decay_f32_bits") == expected_decay and self.hello.get("gain_f32_bits") == expected_gain,
+                   "APL sidecar decay/gain differs from the frozen float32 scalars")
+            _check(self.hello.get("files_sha256") == {name: _digest(bundle_dir / name) for name in BUNDLE_FILES},
+                   "APL sidecar bundle hashes differ from the independently read bundle")
+        except BaseException:
+            self.abort()
+            raise
+
+    def step(self, tick, global_spikes):
+        _check(tick == self.tick, "APL sidecar request ticks must be consecutive")
+        nodes = np.asarray(global_spikes)
+        _check(nodes.ndim == 1 and nodes.dtype == np.dtype("int32"), "APL input spikes must be int32 globals")
+        _check(not len(nodes) or (nodes[0] >= 0 and nodes[-1] < 166700 and np.all(np.diff(nodes) > 0)),
+               "APL input spikes must be sorted, unique, and in the frozen global range")
+        packet = struct.pack("<qQ", int(tick), len(nodes)) + np.ascontiguousarray(nodes, dtype="<i4").tobytes()
+        view = memoryview(packet)
+        while view:
+            written = self.process.stdin.write(view)
+            if not written:
+                raise BrokenPipeError("APL sidecar stdin failed")
+            view = view[written:]
+        self.process.stdin.flush()
+        response_tick, byte_count = struct.unpack("<qQ", self.reader.read(16))
+        _check(response_tick == tick and byte_count == (2 + 2 + 4064) * 4,
+               "APL sidecar frame tick/length mismatch")
+        values = np.frombuffer(self.reader.read(byte_count), dtype="<f4")
+        _check(np.isfinite(values).all() and np.all(values >= 0), "APL sidecar returned invalid nonnegative f32 states")
+        self.tick += 1
+        return values[:2], values[2:4], values[4:]
+
+    def finish(self, steps):
+        _check(self.tick == steps, "APL sidecar did not process every tick")
+        self.process.stdin.close()
+        status = self.process.wait(timeout=30)
+        _check(status == 0, f"APL sidecar exited unsuccessfully: {status}")
+        self.reader.thread.join(timeout=5)
+        _check(not self.reader.thread.is_alive(), "APL stdout did not reach EOF")
+        extra = bytes(self.reader.buffer)
+        while not self.reader.chunks.empty():
+            chunk = self.reader.chunks.get_nowait()
+            _check(not isinstance(chunk, BaseException), "APL stdout reader failed after the last frame")
+            extra += chunk
+        _check(not extra, "APL sidecar emitted unrequested trailing stdout bytes")
+        self.process.stdout.close()
+        return status
+
+    def abort(self):
+        if self.process.poll() is None:
+            self.process.terminate()
+            try:
+                self.process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                self.process.kill()
+                self.process.wait(timeout=5)
+        for handle in (self.process.stdin, self.process.stdout):
+            if handle is not None and not handle.closed:
+                handle.close()
+
+
+def _graph_inputs(directory):
+    arrays = {}
+    definitions = {"nodes": "int32", "edge_id": "int64", "src": "int32",
+                   "dst": "int32", "signed_raw": "int64", "ptr": "int64", "weights": "float64"}
+    for name, dtype in definitions.items():
+        value = np.load(directory / (name + ".npy"), mmap_mode="r", allow_pickle=False)
+        _check(value.ndim == 1 and value.dtype == np.dtype(dtype), f"Invalid graph array {name}")
+        arrays[name] = value
+    nodes, edge_ids = arrays["nodes"], arrays["edge_id"]
+    n, edges = len(nodes), len(edge_ids)
+    _check(0 < n <= 166700 and edges > 0, "A case needs real global nodes and explicit nonempty connectivity")
+    _check(nodes[0] >= 0 and nodes[-1] < 166700 and np.all(np.diff(nodes) > 0), "Invalid global node order")
+    for name in ("src", "dst", "signed_raw", "weights"):
+        _check(arrays[name].shape == (edges,), f"Graph array {name} has the wrong shape")
+    pointer = arrays["ptr"]
+    _check(pointer.shape == (n + 1,) and pointer[0] == 0 and pointer[-1] == edges and
+           np.all(np.diff(pointer) >= 0), "Invalid graph CSR pointer")
+    source_counts = np.zeros(n, np.int64)
+    identity_edges = True
+    previous_source, previous_edge = -1, -1
+    width = BLOCK_BYTES // 8
+    for begin in range(0, edges, width):
+        stop = min(edges, begin + width)
+        source, target, ids = arrays["src"][begin:stop], arrays["dst"][begin:stop], edge_ids[begin:stop]
+        _check(np.all((source >= 0) & (source < n)) and np.all((target >= 0) & (target < n)),
+               "Graph edge endpoint is outside the local node array")
+        _check(np.all(ids >= 0), "Graph edge IDs must be nonnegative")
+        _check(source[0] > previous_source or (source[0] == previous_source and ids[0] > previous_edge),
+               "Graph edge blocks are not in canonical source/edge order")
+        _check(np.all((source[1:] > source[:-1]) |
+                      ((source[1:] == source[:-1]) & (ids[1:] > ids[:-1]))),
+               "Graph edges are not in canonical source/edge order")
+        previous_source, previous_edge = int(source[-1]), int(ids[-1])
+        identity_edges &= np.array_equal(ids, np.arange(begin, stop, dtype=np.int64))
+        source_counts += np.bincount(source, minlength=n)
+        _check(np.isfinite(arrays["weights"][begin:stop]).all(), "Nonfinite graph weights")
+    _check(np.array_equal(source_counts, np.diff(pointer)), "CSR pointer and source rows disagree")
+    if not identity_edges:
+        _check(len(np.unique(edge_ids)) == edges, "Original edge IDs must be unique")
+    for name in ("completeness.csv", "connectivity.parquet"):
+        _check((directory / name).is_file(), f"Missing unchanged author input: {name}")
+    if n == 166700:
+        _check(edges == 25582938 and identity_edges and np.array_equal(nodes, np.arange(n, dtype=np.int32)),
+               "A full probe must use the unchanged complete canonical graph")
+    return arrays, identity_edges
+
+
+def _requests(case_dir, nodes, steps):
+    with np.load(case_dir / "requests.npz", allow_pickle=False) as archive:
+        _check(set(archive.files) == {"tick", "neuron_idx"}, "Unexpected sparse request schema")
+        ticks, requested = archive["tick"].copy(), archive["neuron_idx"].copy()
+    _check(ticks.dtype == requested.dtype == np.dtype("int32") and ticks.ndim == requested.ndim == 1 and
+           ticks.shape == requested.shape, "Requests must be equal-length int32 vectors")
+    _check(np.all((ticks >= 0) & (ticks < steps)), "Request time outside the case")
+    _check(not len(ticks) or np.all((ticks[1:] > ticks[:-1]) |
+           ((ticks[1:] == ticks[:-1]) & (requested[1:] > requested[:-1]))),
+           "Requests must be sorted and unique by tick/global node")
+    local = np.searchsorted(nodes, requested)
+    _check(np.all(local < len(nodes)) and np.array_equal(nodes[local], requested),
+           "Request references a global neuron absent from this case")
+    counts = np.bincount(ticks, minlength=steps).astype(np.int32)
+    pointer = np.concatenate((np.zeros(1, np.int64), np.cumsum(counts, dtype=np.int64)))
+    return requested, local.astype(np.int32), pointer, counts
+
+
+class _QueueProxy:
+    def __init__(self, original, get_tick, available, arrays, identity_edges,
+                 due_counts, spike_ring, delay_steps, handle, records, summarize):
+        self._original_queue, self._get_tick = original, get_tick
+        self._available, self._arrays, self._identity_edges = available, arrays, identity_edges
+        self._due_counts, self._spike_ring, self._delay_steps = due_counts, spike_ring, delay_steps
+        self._handle, self._records, self._summarize = handle, records, summarize
+
+    def peek(self, *args, **kwargs):
+        original = self._original_queue.peek(*args, **kwargs)
+        local_edges = np.asarray(original)
+        tick = self._get_tick()
+        _check(tick == len(self._records["rows"]), "Queue peek ticks must be consecutive")
+        _check(local_edges.ndim == 1 and np.all((local_edges >= 0) & (local_edges < len(self._arrays["edge_id"]))),
+               "Original queue contains an invalid local edge index")
+        _check(len(local_edges) == self._due_counts[tick % len(self._due_counts)],
+               "Queue arrivals differ from the fixed-delay outgoing degree of actual spikes")
+        fired_then = np.zeros(len(self._arrays["nodes"]), dtype=bool)
+        if tick >= self._delay_steps:
+            fired_then[self._spike_ring[(tick - self._delay_steps) % len(self._spike_ring)]] = True
+
+        def accepted(begin, stop):
+            part = local_edges[begin:stop]
+            _check(np.all(fired_then[self._arrays["src"][part]]), "Arrival lacks a presynaptic spike at author delay")
+            return self._available[self._arrays["dst"][part]]
+
+        # Only the observed ID view changes; the queue is returned verbatim.
+        edge_ids = local_edges if self._identity_edges else self._arrays["edge_id"][local_edges]
+        summary = self._summarize(tick, edge_ids, accepted)
+        self._handle.write(json.dumps(summary, sort_keys=True) + "\n")
+        self._records["rows"].append(summary)
+        self._records["peek_calls"] += 1
+        return original
+
+    def advance(self, *args, **kwargs):
+        self._records["advance_calls"] += 1
+        return self._original_queue.advance(*args, **kwargs)
+
+    def __getattr__(self, name):
+        return getattr(self._original_queue, name)
+
+
+def run_case(case_dir: Path, out_dir: Path) -> dict:
+    """Run one continuous case, with exclusive outputs and no candidate trace input.
+
+    Graph inputs are the AF array/author-table schema plus original weights.npy.
+    requests.npz contains sparse tick/neuron_idx int32 vectors.  Optional
+    arrays.npz contains initial_v_mv/initial_g_mv float64 vectors only.
+    Full probes write state hashes, sparse events and APL traces, not dense
+    whole-brain histories.  Each case requires a fresh process.
+    """
+    global _PROCESS_USED
+    _check(not _PROCESS_USED, "Every oracle case requires a fresh process")
+    _PROCESS_USED = True
+    case_dir, out_dir = Path(case_dir).resolve(strict=True), Path(out_dir).resolve()
+    spec = json.loads((case_dir / "spec.json").read_text(encoding="utf-8"))
+    graph_dir = Path(spec["graph_dir"]).resolve(strict=True)
+    bundle_dir = Path(spec["apl_bundle_dir"]).resolve(strict=True)
+    worker_path = Path(spec["legacy_apl_worker"]).resolve(strict=True)
+    _check(worker_path == LEGACY_WORKER_PATH.resolve(strict=True),
+           "The APL worker must remain the sealed Phase4AG-v2 worker")
+    _check(_digest(worker_path) == LEGACY_WORKER_SHA256, "Frozen Phase4AG-v2 APL worker changed")
+    _check(_digest(BASE_ORACLE_PATH) == BASE_ORACLE_SHA256, "Sealed oracle source baseline changed")
+    science_python = _python_entry(spec["science_python"])
+    author_path = Path(spec.get("author_path", AUTHOR_PATH)).resolve(strict=True)
+    ae_path = Path(spec.get("ae_oracle_path", AE_PATH)).resolve(strict=True)
+    af_path = Path(spec.get("af_oracle_path", AF_PATH)).resolve(strict=True)
+    coefficients_path = Path(spec["coefficients_path"]).resolve(strict=True)
+    steps = int(spec["steps"])
+    apl_delay_steps = spec["apl_delay_steps"]
+    _check(type(apl_delay_steps) is int and apl_delay_steps in (0, 18),
+           "apl_delay_steps must be an explicit integer 0 or 18")
+    _check(steps == spec["steps"] and 0 < steps <= np.iinfo(np.int32).max, "Invalid number of steps")
+    _check(float(spec["dt_ms"]) == .1 and np.isclose(float(spec["duration_ms"]), steps * .1, rtol=0, atol=1e-12),
+           "The frozen APL protocol requires dt_ms=0.1 and a matching duration")
+    _check(spec.get("precision", "float64") == "float64", "Author state must be float64")
+    _check(spec.get("training", False) is False and spec.get("poi_used", False) is False,
+           "Training and original poi are outside this gate")
+    _check(spec["apl"] == {"tau_ms": 20, "gain": .01, "normalization": 1}, "Frozen APL parameters changed")
+    record_history = spec["record_history"]
+    _check(isinstance(record_history, bool), "record_history must be a boolean")
+    budget_root = Path(spec.get("budget_root", out_dir.parent)).resolve()
+    budget_limit = int(spec.get("output_budget_bytes", 15 * 1024 ** 3))
+    _check(budget_limit > 0 and out_dir.is_relative_to(budget_root), "Invalid output budget/root")
+    out_dir.mkdir(parents=True, exist_ok=False)
+    mapped_files = []
+    saved_preferences, old_dt, worker = None, None, None
+    last_complete_tick = -1
+    try:
+        arrays, identity_edges = _graph_inputs(graph_dir)
+        nodes, n, edges = arrays["nodes"], len(arrays["nodes"]), len(arrays["edge_id"])
+        _check(n < 166700 or not record_history, "Full probes must not save dense V/g/ref histories")
+        bundle = {name: np.load(bundle_dir / (name + ".npy"), mmap_mode="r", allow_pickle=False)
+                  for name in ("input_matrix", "output_matrix", "kc_globals", "apl_globals")}
+        for name, shape in (("input_matrix", (2, 166700)), ("output_matrix", (2, 4064))):
+            value = bundle[name]
+            _check(value.dtype == np.dtype("float32") and value.shape == shape and value.flags.c_contiguous,
+                   f"Frozen APL {name} shape/dtype/layout changed")
+            _check(np.isfinite(value).all() and np.all(value >= 0), f"Invalid positive raw-normalized APL {name}")
+        for name, count in (("kc_globals", 4064), ("apl_globals", 2)):
+            value = bundle[name]
+            _check(value.dtype == np.dtype("int32") and value.shape == (count,) and value[0] >= 0 and
+                   value[-1] < 166700 and np.all(np.diff(value) > 0), f"Frozen APL identity {name} changed")
+        _check(not np.intersect1d(bundle["kc_globals"], bundle["apl_globals"]).size, "APL and KC identities overlap")
+        kc_positions = np.searchsorted(nodes, bundle["kc_globals"])
+        present = kc_positions < n
+        present[present] &= nodes[kc_positions[present]] == bundle["kc_globals"][present]
+        kc_local, kc_in_bundle = kc_positions[present], np.flatnonzero(present)
+        requested_globals, request_local, request_ptr, request_count = _requests(case_dir, nodes, steps)
+        initial = None
+        if (case_dir / "arrays.npz").exists():
+            with np.load(case_dir / "arrays.npz", allow_pickle=False) as archive:
+                _check(set(archive.files) == {"initial_v_mv", "initial_g_mv"}, "Unexpected initial-state schema")
+                initial = {name: archive[name].copy() for name in archive.files}
+            for name, value in initial.items():
+                _check(value.dtype == np.dtype("float64") and value.shape == (n,) and np.isfinite(value).all(),
+                       f"Invalid diagnostic initial state: {name}")
+        history_bytes = steps * n * 40 if record_history else 0
+        _budget(budget_root, budget_limit, history_bytes + steps * (2 + 2 + 4064 + 4064) * 4 +
+                apl_delay_steps * 4064 * 4 + edges * 8 + (64 << 20))
+        versions = {name: importlib.metadata.version(name) for name in
+                    ("brian2", "numpy", "pandas", "pyarrow", "sympy", "scipy", "cython")}
+        _save(out_dir / "environment.json", {"python": sys.version, "platform": platform.platform(),
+              "packages": versions, "codegen": "numpy", "author_precision": "float64",
+              "APL_precision": "float32 in separate science-Python process", "Torch_imported_into_Brian": False})
+        for name, required in (("brian2", "2.5.1"), ("numpy", "1.22.3"), ("sympy", "1.12")):
+            _check(versions[name] == required, f"{name} must remain pinned to {required}")
+        import brian2 as b2
+        import pandas as pd
+        from brian2.core.base import BrianObject
+
+        ae = _load_checked(ae_path, AE_SHA256, "phase4ag_sealed_ae_helpers")
+        af = _load_checked(af_path, AF_SHA256, "phase4ag_sealed_af_helpers")
+        author = _load_checked(author_path, AUTHOR_SHA256, "phase4ag_unchanged_author")
+        _check("torch" not in sys.modules, "Torch must not be imported into the pinned Brian process")
+        comp = pd.read_csv(graph_dir / "completeness.csv", index_col=0)
+        _check(np.array_equal(comp.index.to_numpy(), nodes) and
+               np.array_equal(comp["local_index"].to_numpy(), np.arange(n)), "Author CSV neuron identity differs")
+        del comp
+        graph_hashes = {name: _digest(graph_dir / name) for name in
+            tuple(key + ".npy" for key in arrays) + ("completeness.csv", "connectivity.parquet")}
+        bundle_hashes = {name: _digest(bundle_dir / name) for name in BUNDLE_FILES}
+        case_hashes = {name: _digest(case_dir / name) for name in ("spec.json", "requests.npz")}
+        if initial is not None:
+            case_hashes["arrays.npz"] = _digest(case_dir / "arrays.npz")
+        worker_hash = _digest(worker_path)
+        coefficient_hash = _digest(coefficients_path)
+        baseline_coefficients = json.loads(coefficients_path.read_text(encoding="utf-8"))
+        if "legacy_apl_worker_sha256" in spec:
+            _check(worker_hash == spec["legacy_apl_worker_sha256"], "APL worker differs from preregistered source")
+        _save(out_dir / "input-audit.json", {"spec": spec, "case_hashes": case_hashes,
+              "graph_hashes": graph_hashes, "bundle_hashes": bundle_hashes,
+              "author_sha256": AUTHOR_SHA256, "ae_sha256": AE_SHA256, "af_sha256": AF_SHA256,
+              "legacy_apl_worker_sha256": worker_hash, "coefficients_sha256": coefficient_hash,
+              "copied_oracle_source": str(BASE_ORACLE_PATH), "copied_oracle_sha256": BASE_ORACLE_SHA256,
+              "apl_delay_steps": apl_delay_steps, "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+              "candidate_trace_used_as_input": False,
+              "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence"})
+        saved_preferences = {key: b2.prefs[key] for key in
+            ("codegen.target", "core.default_float_dtype", "legacy.refractory_timing")}
+        old_dt = b2.defaultclock.dt
+        b2.start_scope()
+        b2.prefs["codegen.target"] = "numpy"
+        b2.prefs["core.default_float_dtype"] = np.float64
+        b2.prefs["legacy.refractory_timing"] = False
+        b2.defaultclock.dt = .1 * b2.ms
+        parameters = dict(author.default_params)
+        _save(out_dir / "parameter-checks.json", ae._parameters_match(parameters, spec["model"], b2))
+        neu, syn, spikes = author.create_model(graph_dir / "completeness.csv", graph_dir / "connectivity.parquet", parameters)
+        _check(len(neu) == n and len(syn) == edges, "Author loaded an unexpected graph size")
+        _check(all(np.dtype(neu.variables[key].dtype) == np.float64 for key in ("v", "g")) and
+               np.dtype(syn.variables["w"].dtype) == np.float64, "Author states/weights are not float64")
+        effective = _new_memmap(out_dir / "weights.npy", "<f8", (edges,))
+        mapped_files.append(effective)
+        width, w_unit, mask_count = BLOCK_BYTES // 8, float(parameters["w_syn"] / b2.volt), 0
+        mask_hasher = hashlib.sha256()
+        base_hasher = hashlib.sha256()
+        effective_hasher = hashlib.sha256()
+        for begin in range(0, edges, width):
+            stop = min(edges, begin + width)
+            np.testing.assert_array_equal(np.asarray(syn.i[begin:stop]), arrays["src"][begin:stop])
+            np.testing.assert_array_equal(np.asarray(syn.j[begin:stop]), arrays["dst"][begin:stop])
+            original = np.asarray(syn.w_[begin:stop], dtype=np.float64).copy()
+            raw_expected = arrays["signed_raw"][begin:stop] * w_unit
+            _check(np.array_equal(original.view(np.uint64), raw_expected.view(np.uint64)) and
+                   np.array_equal(original.view(np.uint64), arrays["weights"][begin:stop].view(np.uint64)),
+                   "Actual original Brian weights differ from unchanged signed raw or AF base weights")
+            base_hasher.update(np.ascontiguousarray(original, dtype="<f8").tobytes())
+            mask = np.isin(nodes[arrays["src"][begin:stop]], bundle["apl_globals"])
+            mask_count += int(mask.sum())
+            mask_hasher.update(np.ascontiguousarray(arrays["edge_id"][begin:stop][mask], dtype="<i8").tobytes())
+            original[mask] = np.float64(0.0)
+            effective_hasher.update(np.ascontiguousarray(original, dtype="<f8").tobytes())
+            effective[begin:stop] = original
+            syn.w_[begin:stop] = original
+        if n == 166700:
+            _check(mask_count == 5845, "Full legacy APL fast-edge mask must contain exactly 5845 existing edges")
+        effective.flush()
+        _save(out_dir / "apl-mask-audit.json", {"count": mask_count, "ordered_original_edge_id_sha256": mask_hasher.hexdigest(),
+              "base_weight_raw_bytes_sha256": base_hasher.hexdigest(), "effective_weights_file_sha256": _digest(out_dir / "weights.npy"),
+              "effective_weights_raw_sha256": effective_hasher.hexdigest(),
+              "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal",
+              "graded_targets": "only KC identities present in this LIF case", "KC_targets_in_case": len(kc_local),
+              "base_graph_files_modified": False, "fullgraph_required_mask_count": 5845})
+        if initial is not None:
+            neu.v = initial["initial_v_mv"] * b2.mV
+            neu.g = initial["initial_g_mv"] * b2.mV
+        v_raw = neu.variables["v"].get_value()
+        g_raw = neu.variables["g"].get_value()
+        last_raw = neu.variables["lastspike"].get_value()
+        available_raw = neu.variables["not_refractory"].get_value()
+        histories = {}
+        pre_apl_histories = {}
+        if record_history:
+            for name, dtype in (("v", "float64"), ("g", "float64"), ("ref", "int32")):
+                histories[name] = _new_memmap(out_dir / f"{name}-history.{dtype}.npy", np.dtype(dtype), (steps, n))
+                mapped_files.append(histories[name])
+                pre_apl_histories[name] = _new_memmap(out_dir / f"preAPL-{name}.{dtype}.npy", np.dtype(dtype), (steps, n))
+                mapped_files.append(pre_apl_histories[name])
+        apl_history = {}
+        for name, count in (("drive", 2), ("state", 2), ("inhibition", 4064)):
+            apl_history[name] = _new_memmap(out_dir / f"apl-{name}.float32.npy", "<f4", (steps, count))
+            mapped_files.append(apl_history[name])
+        applied_history = _new_memmap(out_dir / "apl-applied.float32.npy", "<f4", (steps, 4064))
+        mapped_files.append(applied_history)
+        apl_fifo = _APLDelayFIFO(apl_delay_steps)
+        _save(out_dir / "output-schema.json", {"history_recorded": record_history, "history_shape": [steps, n],
+              "state_hash_file": "tick-state-hashes.jsonl", "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+              "APL_dtype": "float32", "APL_h_units": "mV; gain already applied in float32",
+              "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+              "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+              "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+              "APL_shapes": {"drive": [steps, 2], "state": [steps, 2], "inhibition": [steps, 4064],
+                             "applied": [steps, 4064], "pending_tail": [apl_delay_steps, 4064]},
+              "apl_delay_steps": apl_delay_steps,
+              "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+              "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+              "APL_pending_file": "apl-pending-tail.float32.npy",
+              "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+              "APL_pending_initial_zero_prefix": max(apl_delay_steps - steps, 0),
+              "APL_pending_generated_count": min(steps, apl_delay_steps),
+              "request_columns": ["tick", "neuron_idx", "attempted", "accepted", "rejected"],
+              "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+              "state_npz": ["step", "neuron_idx", "counts", "v", "g", "ref"],
+              "complete_marker": "summary.json complete=true only after worker exit and all checks"})
+        delay_steps = int(round(float(parameters["t_dly"] / b2.ms) / .1))
+        ref_steps = int(round(float(parameters["t_rfc"] / b2.ms) / .1))
+        _check(delay_steps == 18 and ref_steps == 22, "Author delay/refractory changed")
+        queue_len = delay_steps + 1
+        due_counts = np.zeros(queue_len, np.int64)
+        spike_ring = [np.empty(0, np.int32) for _ in range(queue_len)]
+        outdegree = np.diff(arrays["ptr"])
+        request_seen = np.zeros(steps, np.uint8)
+        apl_seen = np.zeros(steps, np.uint8)
+        applicable_count = np.zeros(steps, np.int32)
+        rejected_count = np.zeros(steps, np.int32)
+        spike_count = np.zeros(steps, np.int32)
+        total_counts = np.zeros(n, np.int32)
+        records = {"rows": [], "peek_calls": 0, "advance_calls": 0, "installations": []}
+        last_ticks = np.zeros(n, np.int64)
+        final_ref = np.zeros(n, np.int32)
+        permitted = np.empty(0, np.int32)
+        total_events = 0
+
+        def tick_now():
+            return int(round(float(neu.clock.t / b2.second) / .0001))
+
+        def current_ref(tick):
+            seen = np.isfinite(last_raw) & (last_raw >= 0)
+            last_ticks.fill(0)
+            last_ticks[seen] = np.rint(last_raw[seen] / .0001).astype(np.int64)
+            result = np.where(seen, np.maximum(ref_steps - (tick - last_ticks), 0), 0).astype(np.int32)
+            _check(np.array_equal(result == 0, available_raw), "Ref history disagrees with author not_refractory")
+            return result
+
+        with ExitStack() as stack:
+            stderr = stack.enter_context((out_dir / "apl-worker.stderr.log").open("xb"))
+            worker = _APLWorker(science_python, worker_path, bundle_dir, stderr, float(spec.get("worker_timeout_seconds", 180)))
+            _save(out_dir / "apl-worker-handshake.json", {"command": worker.command, "handshake": worker.hello})
+            queue_file = stack.enter_context((out_dir / "queue.jsonl").open("x", encoding="utf-8"))
+            event_file = stack.enter_context((out_dir / "events.bin").open("xb"))
+            hash_file = stack.enter_context((out_dir / "tick-state-hashes.jsonl").open("x", encoding="utf-8"))
+            tick_file = stack.enter_context((out_dir / "ticks.jsonl").open("x", encoding="utf-8"))
+            requests_file = stack.enter_context((out_dir / "requests.csv").open("x", encoding="utf-8", newline=""))
+            request_writer = csv.DictWriter(requests_file, fieldnames=["tick", "neuron_idx", "attempted", "accepted", "rejected"])
+            request_writer.writeheader()
+
+            def request_operation():
+                nonlocal permitted
+                tick = tick_now()
+                _check(0 <= tick < steps and not request_seen[tick], "Invalid/duplicate common request tick")
+                request_seen[tick] = 1
+                begin, stop = request_ptr[tick:tick + 2]
+                local = request_local[begin:stop]
+                available = available_raw[local].copy()
+                permitted = local[available]
+                applicable_count[tick] = len(permitted)
+                rejected_count[tick] = len(local) - len(permitted)
+                for node, accepted in zip(requested_globals[begin:stop], available):
+                    request_writer.writerow({"tick": tick, "neuron_idx": int(node), "attempted": 1,
+                                             "accepted": int(accepted), "rejected": int(not accepted)})
+                if len(permitted):
+                    neu.v[permitted] = parameters["v_th"] + 1 * b2.mV
+
+            def apl_operation():
+                tick = tick_now()
+                _check(0 <= tick < steps and not apl_seen[tick] and request_seen[tick], "Invalid/duplicate APL tick")
+                active = np.asarray(neu.spikes, dtype=np.int32)
+                _check(not len(active) or np.all(np.diff(active) > 0), "Brian actual spikes are not canonical/unique")
+                _check(np.all(g_raw[active] == 0.0), "APL ran before the original author g reset")
+                if record_history:
+                    pre_apl_histories["v"][tick] = v_raw
+                    pre_apl_histories["g"][tick] = g_raw
+                    pre_apl_histories["ref"][tick] = current_ref(tick)
+                drive, state, inhibition = worker.step(tick, np.asarray(nodes[active], dtype=np.int32))
+                apl_history["drive"][tick] = drive
+                apl_history["state"][tick] = state
+                apl_history["inhibition"][tick] = inhibition
+                applied = apl_fifo.step(tick, inhibition)
+                applied_history[tick] = applied
+                # These are separate array operations.  Only h transport is new.
+                # Do not fuse conversion/subtraction or add a refractory guard.
+                delta_si = applied[kc_in_bundle].astype(np.float64) * np.float64(.001)
+                g_raw[kc_local] = g_raw[kc_local] - delta_si
+                apl_seen[tick] = 1
+
+            def record_end():
+                nonlocal last_complete_tick, total_events, final_ref
+                tick = tick_now()
+                _check(tick == last_complete_tick + 1 and tick < steps and apl_seen[tick], "End tick is incomplete/out of order")
+                _check(len(records["rows"]) == tick + 1, "End state lacks queue observation")
+                _check(np.isfinite(v_raw).all() and np.isfinite(g_raw).all(), "Nonfinite author/APL state")
+                final_ref = current_ref(tick)
+                if record_history:
+                    histories["v"][tick], histories["g"][tick], histories["ref"][tick] = v_raw, g_raw, final_ref
+                active = np.asarray(neu.spikes, dtype=np.int32)
+                _check(np.isin(permitted, active).all(), "An applicable request did not produce a real spike")
+                spike_count[tick] = len(active)
+                total_counts[active] += 1
+                if len(active):
+                    events = np.empty(len(active), EVENT_DTYPE)
+                    events["step"], events["neuron_idx"] = tick, nodes[active]
+                    event_file.write(memoryview(events).cast("B"))
+                total_events += len(active)
+                spike_ring[tick % queue_len] = active.copy()
+                due_counts[(tick + delay_steps) % queue_len] = int(outdegree[active].sum(dtype=np.int64))
+                hash_file.write(json.dumps({"tick": tick, "v_sha256": _array_hash(v_raw, "<f8"),
+                    "g_sha256": _array_hash(g_raw, "<f8"), "ref_sha256": _array_hash(final_ref, "<i4")}, sort_keys=True) + "\n")
+                tick_file.write(json.dumps({"tick": tick, "spikes": len(active), "requests": int(request_count[tick]),
+                    "applicable_requests": int(applicable_count[tick]), "ref_rejected_requests": int(rejected_count[tick]),
+                    "event_sha256": _array_hash(nodes[active], "<i4"),
+                    "due_arrivals": records["rows"][tick]["count"], "accepted_arrivals": records["rows"][tick]["accepted_count"],
+                    "APL_drive_sha256": _array_hash(apl_history["drive"][tick], "<f4"),
+                    "APL_state_sha256": _array_hash(apl_history["state"][tick], "<f4"),
+                    "APL_inhibition_sha256": _array_hash(apl_history["inhibition"][tick], "<f4"),
+                    "APL_applied_sha256": _array_hash(applied_history[tick], "<f4"),
+                    "APL_applied_generated_tick": tick - apl_delay_steps if tick >= apl_delay_steps else None}, sort_keys=True) + "\n")
+                _budget(budget_root, budget_limit, reserve=1 << 20)
+                last_complete_tick = tick
+                if (tick + 1) % 100 == 0 or tick + 1 == steps:
+                    for mapped in mapped_files:
+                        mapped.flush()
+                    for handle in (queue_file, event_file, hash_file, tick_file, requests_file):
+                        handle.flush()
+                    print(json.dumps({"oracle": spec["name"], "completed_ticks": tick + 1,
+                                      "spikes": total_events, "APL_worker_ticks": worker.tick}), flush=True)
+
+            class QueueInstaller(BrianObject):
+                def __init__(self):
+                    super().__init__(clock=neu.clock, when="end", order=1_000_000, name="zz_apl_queue_installer")
+
+                def before_run(self, run_namespace):
+                    installed = []
+                    for code in syn.pre.code_objects:
+                        if "_queue" not in code.namespace or "_queue.peek()" not in str(code.code):
+                            continue
+                        original = code.namespace["_queue"]
+                        if isinstance(original, _QueueProxy):
+                            original = original._original_queue
+                        code.namespace["_queue"] = _QueueProxy(original, tick_now, available_raw, arrays, identity_edges,
+                            due_counts, spike_ring, delay_steps, queue_file, records, af.queue_summary)
+                        installed.append(code.name)
+                    _check(len(installed) == 1, "Expected one original anatomical queue consumer")
+                    records["installations"].append(installed[0])
+
+            objects = [neu, syn, spikes,
+                b2.NetworkOperation(request_operation, clock=neu.clock, when="before_thresholds", order=0, name="oracle_common_requests"),
+                b2.NetworkOperation(apl_operation, clock=neu.clock, when="end", order=0, name="oracle_legacy_apl_unconditional"),
+                b2.NetworkOperation(record_end, clock=neu.clock, when="end", order=1, name="oracle_after_apl_record"), QueueInstaller()]
+            network = b2.Network(*objects)
+            _save(out_dir / "schedule.json", {"schedule": list(network.schedule), "summary": str(network.scheduling_summary())})
+            network.run(0 * b2.ms, namespace={})
+            _save(out_dir / "compiled-code.json", ae._code_records(network))
+            compiled_coefficients = ae._coefficients(neu, parameters, b2, .0001)
+            coefficient_keys = ("gd", "c0", "cg", "cv", "threshold", "reset", "seed_volt")
+            _check(all(float(compiled_coefficients[key]).hex() == float(baseline_coefficients[key]).hex()
+                       for key in coefficient_keys), "Compiled Brian coefficients differ from sealed AF")
+            _check(last_complete_tick == -1 and worker.tick == 0 and not records["rows"] and not request_seen.any(),
+                   "Zero-duration compilation unexpectedly advanced state")
+            network.run(steps * .1 * b2.ms, namespace={})
+            _save(out_dir / "generated-code.json", ae._code_records(network))
+            worker_status = worker.finish(steps)
+            worker = None
+
+        _check(last_complete_tick == steps - 1 and np.all(request_seen == 1) and np.all(apl_seen == 1), "Incomplete trial")
+        pending_tail = apl_fifo.finish(steps)
+        warmup = min(steps, apl_delay_steps)
+        consumed = max(steps - apl_delay_steps, 0)
+        initial_zero_prefix = max(apl_delay_steps - steps, 0)
+        _check(np.all(applied_history[:warmup].view(np.uint32) == 0),
+               "Delayed APL warmup must contain positive zeros")
+        _check(np.array_equal(applied_history[warmup:].view(np.uint32),
+                              apl_history["inhibition"][:consumed].view(np.uint32)),
+               "Applied h is not the exact delayed generated float32 sequence")
+        _check(pending_tail.shape == (apl_delay_steps, 4064) and pending_tail.dtype == np.float32,
+               "Pending APL tail shape/dtype changed")
+        _check(np.all(pending_tail[:initial_zero_prefix].view(np.uint32) == 0),
+               "Short-window pending prefix must contain unconsumed initial positive zeros")
+        _check(np.array_equal(pending_tail[initial_zero_prefix:].view(np.uint32),
+                              apl_history["inhibition"][consumed:].view(np.uint32)),
+               "Pending tail does not exactly partition the finite generated h sequence")
+        with (out_dir / "apl-pending-tail.float32.npy").open("xb") as handle:
+            np.save(handle, pending_tail, allow_pickle=False)
+        _save(out_dir / "apl-timing-audit.json", {
+            "apl_delay_steps": apl_delay_steps, "steps": steps,
+            "generated_rows": steps, "applied_generated_rows": consumed,
+            "pending_generated_count": min(steps, apl_delay_steps),
+            "initial_zero_prefix": initial_zero_prefix,
+            "pending_initial_zero_prefix": initial_zero_prefix,
+            "pending_shape": [apl_delay_steps, 4064],
+            "pending_application_tick_start": steps,
+            "pending_application_tick_stop_exclusive": steps + apl_delay_steps,
+            "pending_generated_tick_start": consumed,
+            "pending_generated_tick_stop_exclusive": steps,
+            "positive_zero_warmup_exact": True, "transport_shift_exact": True,
+            "finite_generated_sequence_partition_exact": True,
+            "pending_raw_sha256": _array_hash(pending_tail, "<f4"),
+            "pending_file_sha256": _digest(out_dir / "apl-pending-tail.float32.npy"),
+            "brain_steps_after_window": 0, "APL_generation_steps_after_window": 0,
+            "brain_tail_advanced": False,
+            "final_apl_state_float32": np.asarray(apl_history["state"][-1], dtype=np.float32).tolist(),
+            "final_apl_state_u32_bits": np.asarray(apl_history["state"][-1], dtype=np.float32).view(np.uint32).tolist(),
+            "final_apl_state_nonzero": bool(np.any(apl_history["state"][-1] != 0)),
+            "future_generated_decay_tail_included": False,
+            "future_apl_decay_or_feedback_generated": False,
+            "closed_loop_branch_integrals_claimed_equal": False,
+            "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+            "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+        })
+        _check(records["peek_calls"] == records["advance_calls"] == steps, "Incomplete queue audit")
+        _check(total_events == int(spikes.num_spikes) and np.array_equal(total_counts, np.asarray(spikes.count[:])),
+               "Sparse events disagree with original SpikeMonitor")
+        _check(np.array_equal(request_count, applicable_count + rejected_count), "Incomplete request accounting")
+        _check(np.all(np.asarray(neu.rfc[:] / b2.ms) == float(parameters["t_rfc"] / b2.ms)), "Author refractory duration changed")
+        for begin in range(0, edges, width):
+            stop = min(edges, begin + width)
+            _check(np.array_equal(np.asarray(syn.w_[begin:stop]).view(np.uint64), effective[begin:stop].view(np.uint64)),
+                   "Effective synaptic weights changed during the trial")
+        event_values = np.memmap(out_dir / "events.bin", dtype=EVENT_DTYPE, mode="r", shape=(total_events,)) if total_events else np.empty(0, EVENT_DTYPE)
+        _check((out_dir / "events.bin").stat().st_size == total_events * 8, "Sparse event byte count mismatch")
+        for begin in range(0, total_events, width):
+            stop = min(total_events, begin + width)
+            spike_local = np.asarray(spikes.i[begin:stop], dtype=np.int32)
+            np.testing.assert_array_equal(event_values["neuron_idx"][begin:stop], nodes[spike_local])
+            times = np.rint(np.asarray(spikes.t[begin:stop] / b2.second) / .0001).astype(np.int32)
+            np.testing.assert_array_equal(event_values["step"][begin:stop], times)
+        _budget(budget_root, budget_limit, total_events * 8 + n * 24 + (8 << 20))
+        with (out_dir / "state.npz").open("xb") as handle:
+            np.savez_compressed(handle, step=event_values["step"], neuron_idx=event_values["neuron_idx"],
+                                counts=total_counts, v=v_raw, g=g_raw, ref=final_ref)
+        with (out_dir / "tick-summary.npz").open("xb") as handle:
+            np.savez_compressed(handle, request_count=request_count, applicable_count=applicable_count,
+                rejected_count=rejected_count, spike_count=spike_count,
+                arrival_count=np.asarray([row["count"] for row in records["rows"]], np.int64),
+                accepted_arrival_count=np.asarray([row["accepted_count"] for row in records["rows"]], np.int64))
+        coefficients = ae._coefficients(neu, parameters, b2, .0001)
+        keys = ("gd", "c0", "cg", "cv", "threshold", "reset", "seed_volt")
+        _check(all(float(coefficients[key]).hex() == float(baseline_coefficients[key]).hex() for key in keys),
+               "Actual Brian coefficients differ from sealed AF coefficients")
+        _save(out_dir / "coefficients.json", coefficients)
+        _save(out_dir / "queue-audit.json", {"peek_calls": records["peek_calls"], "advance_calls": records["advance_calls"],
+              "installations": records["installations"], "same_peek_object_returned": True,
+              "original_edge_ids_not_sorted_or_filtered": True, "zero_weight_and_refractory_rejected_edges_retained": True,
+              "post_threshold_pre_synaptic_guard_observed": True, "forwarding_contract": "sealed AE/AF design",
+              "new_unwrapped_repeat_performed": False, "limit": "Current wrapper was not independently rerun without the queue proxy"})
+        for path, expected in ((author_path, AUTHOR_SHA256), (ae_path, AE_SHA256), (af_path, AF_SHA256),
+                               (worker_path, worker_hash), (BASE_ORACLE_PATH, BASE_ORACLE_SHA256)):
+            _check(_digest(path) == expected, f"Source changed during the run: {path}")
+        _check(_digest(coefficients_path) == coefficient_hash, "Sealed coefficient reference changed during the run")
+        for directory, hashes in ((graph_dir, graph_hashes), (bundle_dir, bundle_hashes), (case_dir, case_hashes)):
+            for name, expected in hashes.items():
+                _check(_digest(directory / name) == expected, f"Read-only input changed during the run: {name}")
+        for mapped in mapped_files:
+            mapped.flush()
+        _check("torch" not in sys.modules, "Pinned Brian process unexpectedly imported Torch")
+        output_bytes = _budget(budget_root, budget_limit, 1 << 20)
+        summary = {"name": spec["name"], "complete": True, "precision": "float64", "APL_precision": "float32",
+            "backend": "shared-APL-component closed-loop Brian2 oracle", "steps": steps, "completed_ticks": last_complete_tick + 1,
+            "nodes": n, "edges": edges, "spikes": total_events, "requests": int(request_count.sum()),
+            "applicable_requests": int(applicable_count.sum()), "ref_rejected_requests": int(rejected_count.sum()),
+            "APL_fast_edges_zeroed": mask_count, "APL_worker_exit_status": worker_status, "APL_worker_ticks": steps,
+            "apl_fast_edges_zeroed": mask_count, "effective_weights_raw_sha256": effective_hasher.hexdigest(),
+            "kc_targets_present": len(kc_local), "apl_delay_steps": apl_delay_steps,
+            "APL_transport_shift_exact": True, "APL_finite_sequence_partition_exact": True,
+            "pending_generated_count": min(steps, apl_delay_steps),
+            "initial_zero_prefix": max(apl_delay_steps - steps, 0),
+            "pending_initial_zero_prefix": max(apl_delay_steps - steps, 0),
+            "pending_tail_shape": [apl_delay_steps, 4064], "future_generated_decay_tail_included": False,
+            "APL_applied_sha256": _digest(out_dir / "apl-applied.float32.npy"),
+            "APL_pending_tail_sha256": _digest(out_dir / "apl-pending-tail.float32.npy"),
+            "APL_timing_audit_sha256": _digest(out_dir / "apl-timing-audit.json"),
+            "candidate_trace_used_as_input": False, "independent_CPU_all_components_claim": False,
+            "history_recorded": record_history, "single_continuous_run": True, "no_training": True, "no_poi": True,
+            "source_and_inputs_unchanged": True, "pass_all": True,
+            "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+            "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+            "output_budget_bytes": budget_limit, "output_bytes_before_summary": output_bytes,
+            "state_hashes_sha256": _digest(out_dir / "tick-state-hashes.jsonl"), "queue_sha256": _digest(out_dir / "queue.jsonl"),
+            "events_sha256": _digest(out_dir / "events.bin"), "weights_sha256": _digest(out_dir / "weights.npy")}
+        _save(out_dir / "summary.json", summary)
+        return summary
+    except Exception as error:
+        for mapped in mapped_files:
+            mapped.flush()
+        _save(out_dir / "error.json", {"complete": False, "last_complete_tick": last_complete_tick,
+              "type": type(error).__name__, "message": str(error), "partial_files_preserved": True,
+              "inputs_or_duration_adjusted": False})
+        raise
+    finally:
+        if worker is not None:
+            worker.abort()
+        if saved_preferences is not None:
+            for key, value in saved_preferences.items():
+                b2.prefs[key] = value
+            b2.defaultclock.dt = old_dt
+
+
+def run_oracle(case_dir: Path, out_dir: Path) -> dict:
+    """Public timing-adapter alias; preserves the sealed run_case call shape."""
+    return run_case(case_dir, out_dir)
+
+
+def main():
+    import argparse
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("case_dir", type=Path)
+    parser.add_argument("out_dir", type=Path)
+    args = parser.parse_args()
+    result = run_oracle(args.case_dir, args.out_dir)
+    print(json.dumps(result, sort_keys=True, allow_nan=False), flush=True)
+    if not result.get("complete") or not result.get("pass_all"):
+        raise SystemExit(1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/prepare.py b/models/male-cns-lif/apl-timing-lab-v1/prepare.py
new file mode 100644
index 0000000..d6894df
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/prepare.py
@@ -0,0 +1,91 @@
+"""Register a two-arm timing intervention before new trajectory outcomes."""
+from datetime import datetime, timezone
+import difflib
+import platform
+import shutil
+import subprocess
+import sys
+import numpy as np
+from context import (ROOT, MODEL, EXP, AG, AG_MODEL, AI, AI_MODEL, AH_MODEL, META,
+                     COEFF, CFG, digest, read, save, sources, integrity, budget)
+
+
+def copy_exact(src, dst):
+    dst.parent.mkdir(parents=True, exist_ok=True)
+    with src.open('rb') as a, dst.open('xb') as b:
+        shutil.copyfileobj(a, b)
+    assert digest(src) == digest(dst)
+
+
+def main():
+    assert not EXP.exists() or not any(EXP.iterdir()), 'Never reuse a populated experiment'
+    assert shutil.disk_usage(EXP.parent).free > CFG['output_budget_bytes'] + 10 * 1024**3
+    assert read(AI / 'audit/final-status.json')['status'] == 'PASS-CONDITIONAL-PN-APL-SOURCE-AUDIT'
+    assert CFG['apl'] == read(AG_MODEL / 'config.json')['apl'] and CFG['delays_steps'] == [0, 18]
+    for sub in ('protocol', 'cases', 'gpu', 'oracle', 'audit', 'logs', 'regression', 'component-audit', 'calibration', 'extension-build'):
+        (EXP / sub).mkdir(parents=True, exist_ok=False)
+    command = [sys.executable, '-B', '-m', 'unittest', 'discover', '-v', '-s', str(MODEL), '-p', 'test_*.py']
+    tested = subprocess.run(command, cwd=MODEL, capture_output=True, text=True)
+    with (EXP / 'regression/unit-tests.log').open('x') as f:
+        f.write(tested.stdout + tested.stderr)
+    save(EXP / 'regression/unit-tests.json', dict(command=command, exit_code=tested.returncode,
+         pass_all=tested.returncode == 0, sha256=digest(EXP / 'regression/unit-tests.log')))
+    assert tested.returncode == 0, 'Unit tests failed; stop before registration'
+    inputs = [AI / 'manifest.json', AI / 'checksums.sha256', AI_MODEL / 'manifest.json',
+              AG / 'manifest.json', AG_MODEL / 'manifest.json', META, COEFF,
+              AH_MODEL / 'replay_core.py', AG_MODEL / 'legacy_apl_worker.py', AG_MODEL / 'gpu_apl.py',
+              AG_MODEL / 'oracle_apl.py', AG_MODEL / 'compare.py', AG_MODEL / 'calibration.py',
+              AG_MODEL / 'validate_components.py', AI / 'protocol/neuron-source-groups.parquet']
+    save(EXP / 'protocol/preregistered.json', dict(timestamp_utc=datetime.now(timezone.utc).isoformat(),
+        sources=sources(), config=CFG, inputs=[dict(path=str(p.relative_to(ROOT)), sha256=digest(p)) for p in inputs],
+        parent_commit=subprocess.check_output(['git', '-C', str(ROOT), 'rev-parse', 'HEAD'], text=True).strip(),
+        before_new_trajectories=True, prior_CAL_and_AI_outcomes_known=True,
+        single_factor='generated graded-APL h applied at t versus t+18; nothing else',
+        fixed_input_counts_and_amplitudes=True, actual_accepted_requests_may_change_due_to_closed_loop=True,
+        formal_learning_claim=False, oracle_limit='Independent Brian LIF state with shared legacy Torch APL arithmetic; separate component audit',
+        delay_biological_measurement=False, whole_brain_equal_total_inhibition_claim=False,
+        timing_test_no_full_future_tail_claim=True, source_diffs_are_review_material_not_equivalence_proof=True,
+        scope='Origin audit -> exact shift conservation -> two-arm fixtures -> fullgraph oracle probes -> complete two-arm fixed CAL -> frozen regression',
+        python=sys.version, numpy=np.__version__, machine=platform.machine()))
+    save(EXP / 'regression/old-integrity-before.json', integrity())
+    for old, new in (('gpu_apl.py', 'gpu_timing.py'), ('oracle_apl.py', 'oracle_timing.py'), ('compare.py', 'compare_timing.py')):
+        difference = ''.join(difflib.unified_diff((AG_MODEL / old).read_text().splitlines(True),
+            (MODEL / new).read_text().splitlines(True), fromfile=str(AG_MODEL / old), tofile=str(MODEL / new)))
+        with (EXP / 'protocol' / (new + '.diff')).open('x') as f:
+            f.write(difference)
+    records = read(AG / 'protocol/calibration-cases.json')
+    assert len(records) == 60 and len({r['name'] for r in records}) == 60
+    copy_exact(AG / 'protocol/calibration-cases.json', EXP / 'protocol/calibration-cases.json')
+    copy_exact(AG / 'protocol/encoder-audit.json', EXP / 'protocol/encoder-audit.json')
+    names = CFG['fixtures'] + [r['name'] for r in records]
+    inventory = []
+    for delay in CFG['delays_steps']:
+        arm = 'delay' + str(delay)
+        for sub in ('cases', 'gpu', 'oracle', 'component-audit', 'calibration'):
+            (EXP / sub / arm).mkdir(exist_ok=False)
+        for name in names:
+            src = AG / 'cases' / name
+            dst = EXP / 'cases' / arm / name
+            dst.mkdir(exist_ok=False)
+            spec = read(src / 'spec.json')
+            old_spec = dict(spec)
+            spec.update(apl_delay_steps=delay, budget_root=str(EXP), output_budget_bytes=CFG['output_budget_bytes'])
+            save(dst / 'spec.json', spec)
+            for key in set(old_spec) - {'budget_root', 'output_budget_bytes'}:
+                assert old_spec[key] == spec[key]
+            files = []
+            for fname in ('requests.npz', 'arrays.npz', 'pn-drive.npz'):
+                if (src / fname).exists():
+                    copy_exact(src / fname, dst / fname)
+                    files.append(dict(file=fname, sha256=digest(src / fname)))
+            inventory.append(dict(arm=arm, delay_steps=delay, name=name, kind=spec['kind'],
+                                  source_case=str(src.relative_to(ROOT)), unchanged_input_files=files))
+    save(EXP / 'protocol/case-inventory.json', inventory)
+    save(EXP / 'protocol/prepared-hashes.json', [dict(path=str(p.relative_to(EXP)), sha256=digest(p), bytes=p.stat().st_size)
+         for sub in ('protocol', 'cases') for p in sorted((EXP / sub).rglob('*')) if p.is_file() and p.name != 'prepared-hashes.json'])
+    budget()
+    print('REGISTERED 2 delays, 8 fixtures + 60 CAL each; exact original inputs; no new trajectory yet', flush=True)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/run_case.py b/models/male-cns-lif/apl-timing-lab-v1/run_case.py
new file mode 100644
index 0000000..faf3cd8
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/run_case.py
@@ -0,0 +1,59 @@
+"""Exclusive-output fresh-process runner; original cases, one science GPU job."""
+import argparse
+import json
+import os
+import urllib.request
+from context import ROOT, MODEL, EXP, AG, AG_MODEL, CFG, check, budget, read, load_module
+
+
+def preflight():
+    os.environ['CUDA_VISIBLE_DEVICES'] = CFG['gpu_uuid']
+    os.environ['CUDA_HOME'] = '/usr/local/cuda'
+    os.environ['PATH'] = str(ROOT / 'models/male-cns-lif/.venv/bin') + ':/usr/local/cuda/bin:' + os.environ['PATH']
+    os.environ['MAX_JOBS'] = '2'
+    os.environ['TORCH_CUDA_ARCH_LIST'] = '8.9'
+    for port in (8188, 8189, 8190):
+        with urllib.request.urlopen(f'http://192.168.10.51:{port}/queue', timeout=5) as response:
+            queue = json.load(response)
+        assert not queue['queue_running'] and not queue['queue_pending'], 'ComfyUI busy: defer, never evict'
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('backend', choices=['gpu', 'oracle', 'component'])
+    parser.add_argument('arm', choices=['delay0', 'delay18'])
+    parser.add_argument('case')
+    parser.add_argument('--repeat', type=int, default=0)
+    args = parser.parse_args()
+    assert '/' not in args.case and '..' not in args.case and 0 <= args.repeat < 3
+    check(); budget()
+    assert read(EXP / 'origin-audit/summary.json')['pass_all']
+    assert read(EXP / 'audit/shift-gate.json')['pass_all']
+    preflight()
+    case = EXP / 'cases' / args.arm / args.case
+    assert case.is_dir() and read(case / 'spec.json')['apl_delay_steps'] == int(args.arm[5:])
+    if args.case not in CFG['fixtures']:
+        assert read(EXP / 'audit/fixtures-gate.json')['pass_all'], 'Fixture gate required before fullgraph execution'
+        if args.case not in CFG['calibration']['full_oracle_probes'] or args.repeat > 0:
+            assert read(EXP / 'audit/probes-gate.json')['pass_all'], 'Both fullgraph probe gates required before CAL'
+    out = EXP / 'gpu' / args.arm / f'{args.case}-r{args.repeat}'
+    if args.backend == 'gpu':
+        from gpu_timing import run_gpu
+        result = run_gpu(case, out, EXP / 'extension-build')
+    elif args.backend == 'oracle':
+        assert args.repeat == 0
+        from oracle_timing import run_case
+        result = run_case(case, EXP / 'oracle' / args.arm / args.case)
+    else:
+        assert args.repeat == 0
+        component = load_module('sealed_ag_component_aj', AG_MODEL / 'validate_components.py')
+        result = component.validate(out, AG / 'apl-bundle', EXP / 'component-audit' / args.arm / (args.case + '.json'))
+    budget()
+    print(json.dumps(dict(backend=args.backend, arm=args.arm, case=args.case, repeat=args.repeat,
+        complete=result.get('complete'), pass_all=result.get('pass_all')), allow_nan=False), flush=True)
+    if not result.get('pass_all', False):
+        raise SystemExit(1)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/run_suite.py b/models/male-cns-lif/apl-timing-lab-v1/run_suite.py
new file mode 100644
index 0000000..b413ec5
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/run_suite.py
@@ -0,0 +1,108 @@
+"""Strict ordered numerical gates; both complete CAL arms even if representation fails."""
+import argparse
+import subprocess
+import time
+import traceback
+from context import ROOT, MODEL, EXP, AG, CFG, check, save, read, budget
+
+SCIENCE = ROOT / 'models/male-cns-lif/.venv/bin/python'
+ORACLE = ROOT / 'experiments/phase4ad-author-semantics/environment/.venv/bin/python'
+
+
+def child(backend, arm, name, repeat=0):
+    log = EXP / 'logs' / f'{backend}-{arm}-{name}-r{repeat}.log'
+    command = [str(ORACLE if backend == 'oracle' else SCIENCE), '-B', str(MODEL / 'run_case.py'),
+               backend, arm, name, '--repeat', str(repeat)]
+    print('START', backend, arm, name, repeat, flush=True)
+    started = time.perf_counter()
+    with log.open('x', encoding='utf-8') as stream:
+        result = subprocess.run(command, stdout=stream, stderr=subprocess.STDOUT, timeout=1800, check=False)
+    print('FINISH', backend, arm, name, repeat, 'exit', result.returncode,
+          'wall', round(time.perf_counter() - started, 2), flush=True)
+    if result.returncode:
+        raise RuntimeError(f'{backend} {arm}/{name} failed; preserve and inspect {log}')
+
+
+def gate_case(arm, name, repeats):
+    from compare_timing import compare, compare_gpu_repeats
+    from calibration import control_identity
+    child('gpu', arm, name)
+    for repeat in range(1, repeats):
+        child('gpu', arm, name, repeat)
+    child('oracle', arm, name)
+    result = compare(EXP / 'cases' / arm / name, EXP / 'gpu' / arm / (name + '-r0'),
+                     EXP / 'oracle' / arm / name, EXP / 'audit' / f'compare-{arm}-{name}.json')
+    assert result['pass_all'], f'Closed-loop exact comparison failed: {arm}/{name}'
+    for repeat in range(1, repeats):
+        report = compare_gpu_repeats(EXP / 'gpu' / arm / (name + '-r0'),
+            EXP / 'gpu' / arm / f'{name}-r{repeat}', EXP / 'audit' / f'repeat-{arm}-{name}-r{repeat}.json')
+        assert report['pass_all'], f'Exact repeat failed: {arm}/{name}/{repeat}'
+    if arm == 'delay0':
+        report = control_identity(EXP / 'gpu' / arm / (name + '-r0'), AG / 'gpu' / (name + '-r0'),
+                                  EXP / 'cases' / arm / name)
+        save(EXP / 'audit' / f'control-{name}.json', report)
+        assert report['pass_all'], f'Zero-delay control changed relative to sealed AG: {name}'
+    child('component', arm, name)
+    return dict(arm=arm, case=name, pass_all=True, gpu_repeats=repeats)
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('stage', choices=['fixtures', 'probes', 'calibration'])
+    args = parser.parse_args()
+    check(); budget()
+    receipt = EXP / 'audit' / (args.stage + '-gate.json')
+    assert not receipt.exists()
+    assert read(EXP / 'origin-audit/summary.json')['pass_all']
+    assert read(EXP / 'audit/shift-gate.json')['pass_all']
+    arms = ['delay' + str(delay) for delay in CFG['delays_steps']]
+    try:
+        if args.stage == 'fixtures':
+            rows = [gate_case(arm, name, CFG['fixture_repeats']) for arm in arms for name in CFG['fixtures']]
+            save(receipt, dict(pass_all=True, cases=rows, scope='Both arms; fixed real-edge induced fixtures only'))
+        elif args.stage == 'probes':
+            assert read(EXP / 'audit/fixtures-gate.json')['pass_all']
+            rows = [gate_case(arm, name, 1) for arm in arms for name in CFG['calibration']['full_oracle_probes']]
+            save(receipt, dict(pass_all=True, cases=rows, scope='Both arms; same two original first-CAL fullgraph cases'))
+        else:
+            assert read(EXP / 'audit/fixtures-gate.json')['pass_all']
+            assert read(EXP / 'audit/probes-gate.json')['pass_all']
+            from calibration import summarize, control_identity
+            from compare_timing import compare_gpu_repeats
+            records = read(EXP / 'protocol/calibration-cases.json')
+            assert len(records) == 60
+            for arm in arms:
+                for record in records:
+                    if record['name'] not in CFG['calibration']['full_oracle_probes']:
+                        child('gpu', arm, record['name'])
+                    name = record['name']
+                    if arm == 'delay0':
+                        control = control_identity(EXP / 'gpu' / arm / (name + '-r0'),
+                            AG / 'gpu' / (name + '-r0'), EXP / 'cases' / arm / name)
+                        save(EXP / 'audit' / f'cal-control-{name}-r0.json', control)
+                        assert control['pass_all'], 'Zero-delay CAL control diverged: ' + name
+                    if record['seed'] == CFG['calibration']['seeds'][0]:
+                        child('gpu', arm, record['name'], 1)
+                        repeat = compare_gpu_repeats(EXP / 'gpu' / arm / (name + '-r0'),
+                            EXP / 'gpu' / arm / (name + '-r1'), EXP / 'audit' / f'cal-repeat-{arm}-{name}.json')
+                        assert repeat['pass_all'], 'CAL exact repeat diverged: ' + arm + '/' + name
+                        if arm == 'delay0':
+                            control = control_identity(EXP / 'gpu' / arm / (name + '-r1'),
+                                AG / 'gpu' / (name + '-r1'), EXP / 'cases' / arm / name)
+                            save(EXP / 'audit' / f'cal-control-{name}-r1.json', control)
+                            assert control['pass_all'], 'Zero-delay CAL repeat control diverged: ' + name
+            result = summarize()
+            save(receipt, dict(pass_all=result['execution_gate_pass'],
+                representation_pass_all=result['pass_all'], scope='Complete both fixed CAL arms; not heldout or learning',
+                summary='calibration/summary.json'))
+            assert result['execution_gate_pass'], 'CAL numerical/control/repeat gate failed'
+    except Exception as error:
+        save(EXP / 'audit' / ('stopped-' + args.stage + '.json'), dict(stage=args.stage,
+            type=type(error).__name__, message=str(error), traceback=traceback.format_exc(),
+            later_stages_not_permitted=True, partial_outputs_preserved=True, parameters_changed=False))
+        raise
+    budget()
+
+
+if __name__ == '__main__':
+    main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/shift_audit.py b/models/male-cns-lif/apl-timing-lab-v1/shift_audit.py
new file mode 100644
index 0000000..85fd7b5
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/shift_audit.py
@@ -0,0 +1,44 @@
+"""Fixed sealed-trace transport check; no closed-loop dynamics or gain search."""
+import hashlib
+import numpy as np
+from context import AG, EXP, CFG, check, read, save, digest, budget
+from timing_queue import TimingQueue, audit_sequence
+
+
+def transport(generated, delay):
+    if generated.ndim != 2 or generated.dtype != np.float32:
+        raise ValueError('Expected stored float32 generated h')
+    queue = TimingQueue(delay, generated.shape[1])
+    applied = np.empty_like(generated)
+    for tick, row in enumerate(generated):
+        applied[tick] = queue.push(row, tick)
+    pending = queue.pending()
+    report = audit_sequence(generated, applied, pending, delay)
+    report.update(queue.metadata())
+    report['applied_bytes_sha256'] = hashlib.sha256(applied.tobytes()).hexdigest()
+    report['pending_bytes_sha256'] = hashlib.sha256(pending.tobytes()).hexdigest()
+    return applied, pending, report
+
+
+def main():
+    check()
+    assert read(EXP / 'origin-audit/summary.json')['pass_all']
+    names = CFG['fixtures'] + [r['name'] for r in read(EXP / 'protocol/calibration-cases.json')]
+    records = []
+    for name in names:
+        path = AG / 'gpu' / (name + '-r0') / 'apl-inhibition.float32.npy'
+        generated = np.load(path, mmap_mode='r', allow_pickle=False)
+        assert generated.shape == (read(AG / 'cases' / name / 'spec.json')['steps'], 4064)
+        for delay in CFG['delays_steps']:
+            _, _, report = transport(generated, delay)
+            records.append(dict(case=name, delay_steps=delay, input_sha256=digest(path), **report))
+    save(EXP / 'audit/shift-gate.json', dict(pass_all=all(r['pass_all'] for r in records),
+        records=records, input_trace_count=len(names), no_new_brain_trajectory=True,
+        no_future_APL_advance=True, closed_loop_equal_integral_claim=False,
+        preservation='Every generated finite-window sample retained bitwise in applied or chronological pending slots; initial padding is +0'))
+    budget()
+    print('PASS: 68 fixed generated traces, 2 exact shifts; no new brain trajectories', flush=True)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/test_al_origin_audit.py b/models/male-cns-lif/apl-timing-lab-v1/test_al_origin_audit.py
new file mode 100644
index 0000000..faea66e
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/test_al_origin_audit.py
@@ -0,0 +1,196 @@
+"""Pure synthetic selection, temporal joining, and streaming observer tests."""
+import unittest
+from types import SimpleNamespace
+import importlib.util
+import ast
+from pathlib import Path
+import numpy as np
+import pandas as pd
+from al_origin_audit import (select_cohort, predecessor_counts, first_ticks,
+    source_labels, ALLNObserver, _window_add, bit_equal)
+
+
+class MemorySink:
+    def __init__(self):
+        self.rows = 0
+        self.calls = []
+
+    def write(self, data):
+        self.rows += len(data['edge_id'])
+        self.calls.append({k: np.asarray(v).copy() for k, v in data.items()})
+
+
+class OriginTests(unittest.TestCase):
+    def test_main_does_not_shadow_callable_helpers(self):
+        tree = ast.parse((Path(__file__).parent / 'al_origin_audit.py').read_text(encoding='utf-8'))
+        helpers = {node.name for node in tree.body if isinstance(node, (ast.FunctionDef, ast.ClassDef))}
+        main = next(node for node in tree.body if isinstance(node, ast.FunctionDef) and node.name == 'main')
+        assigned = {node.id for node in ast.walk(main) if isinstance(node, ast.Name) and isinstance(node.ctx, ast.Store)}
+        self.assertEqual(helpers & assigned, set())
+
+    def test_all_earliest_ties_and_static_design(self):
+        ids = np.arange(5, dtype=np.int32)
+        result = select_cohort(ids, np.array([1, 5, 5, 8, -1], np.int32),
+                               np.array([0], np.int32), 20, 30)
+        np.testing.assert_array_equal(result['cohort'], [1, 2])
+        self.assertEqual(result['matched_stop_exclusive'], 5)
+        self.assertEqual(result['cohort_relation_to_first_KC'], 'before')
+
+    def test_no_non_design_activity_does_not_choose_never_active(self):
+        result = select_cohort(np.arange(3, dtype=np.int32), np.array([0, -1, -1], np.int32),
+                               np.array([0], np.int32), 20, 30)
+        self.assertEqual(len(result['cohort']), 0)
+        self.assertEqual(result['earliest_tick'], -1)
+
+    def test_same_tick_is_not_before(self):
+        result = select_cohort(np.arange(2, dtype=np.int32), np.array([0, 20], np.int32),
+                               np.array([0], np.int32), 20, 30)
+        self.assertFalse(result['cohort_before_first_KC'])
+        self.assertEqual(result['cohort_relation_to_first_KC'], 'same_tick')
+
+    def test_KC_absent_is_censored(self):
+        result = select_cohort(np.arange(2, dtype=np.int32), np.array([0, 20], np.int32),
+                               np.array([0], np.int32), -1, 30)
+        self.assertTrue(result['pre_kc_window_censored'])
+        self.assertEqual(result['pre_kc_stop_exclusive'], 30)
+        self.assertFalse(result['cohort_before_first_KC'])
+
+    def test_after_KC_retains_cohort_without_selecting_a_different_one(self):
+        result = select_cohort(np.arange(2, dtype=np.int32), np.array([0, 20], np.int32),
+                               np.array([0], np.int32), 10, 30)
+        self.assertEqual(result['cohort'].tolist(), [1])
+        self.assertEqual(result['cohort_relation_to_first_KC'], 'after')
+        self.assertEqual(result['matched_stop_exclusive'], 10)
+
+    def test_temporal_join_excludes_both_boundaries_and_prior_reset(self):
+        result = predecessor_counts(np.array([3, 5, 6, 9, 10, 11]),
+            np.array([1., 2., -3., 4., 5., 6.]), 10, 5)
+        self.assertEqual(result['all_prior_design_PN_events'], 4)
+        self.assertEqual(result['since_last_reset_design_PN_events'], 2)
+        self.assertEqual(result['prior_reset_excluded_events'], 2)
+        self.assertEqual(result['since_last_reset_positive_weight_SI'], 4.)
+        self.assertEqual(result['since_last_reset_negative_abs_weight_SI'], 3.)
+
+    def test_zero_weight_not_transmission(self):
+        result = predecessor_counts(np.array([2]), np.array([0.]), 3, -1)
+        self.assertEqual(result['since_last_reset_design_PN_events'], 1)
+        self.assertEqual(result['since_last_reset_nonzero_design_PN_events'], 0)
+
+    def test_no_direct_antecedent_valid_empty(self):
+        result = predecessor_counts(np.array([], np.int32), np.array([], np.float64), 20, -1)
+        self.assertEqual(result['since_last_reset_design_PN_events'], 0)
+
+    def test_reject_bad_temporal_order(self):
+        with self.assertRaises(ValueError):
+            predecessor_counts(np.array([3, 1]), np.ones(2), 10, 5)
+        with self.assertRaises(ValueError):
+            predecessor_counts(np.array([3]), np.ones(1), 10, 10)
+
+    def test_first_ticks_missing_and_repeated_events(self):
+        values = first_ticks(np.array([1, 3, 3], np.int32), np.array([2, 1, 2], np.int32),
+                             np.arange(4, dtype=np.int32), n=4)
+        np.testing.assert_array_equal(values, [-1, 3, 1, -1])
+
+    def test_exact_role_mapping_unknown_stays_unknown(self):
+        labels = source_labels(np.arange(4), np.array(['ALPN', 'ALPN', 'ALLN', 'unclassified']),
+                               np.array([True, False, False, False]))
+        self.assertEqual(labels.tolist(), ['design_ALPN', 'non_design_ALPN', 'ALLN', 'unclassified'])
+
+    def test_window_aggregation_preserves_sign_and_exclusion(self):
+        stats = {}
+        _window_add(stats, pd.DataFrame({'weight_SI': [1., -2., 9.]}),
+                    np.array([True, True, False]), np.array(['ALLN'] * 3))
+        self.assertEqual(stats['ALLN']['events'], 2)
+        self.assertEqual(stats['ALLN']['positive_weight_SI'], 1.)
+        self.assertEqual(stats['ALLN']['negative_abs_weight_SI'], 2.)
+
+    def test_bit_equal_rejects_signed_zero(self):
+        self.assertFalse(bit_equal(np.array([0.]), np.array([-0.])))
+
+    @staticmethod
+    def observer():
+        sink = MemorySink()
+        incoming = SimpleNamespace(src_global=np.array([0, 1, 2], np.int32),
+            dst_local=np.array([0, 0, 1], np.int32), edge_id=np.arange(3, dtype=np.int64),
+            weights=np.array([.1, 0., -.2], np.float64))
+        observer = ALLNObserver(np.array([3, 4], np.int32), incoming,
+            np.array(['ALPN', 'APL', 'ALLN', 'ALLN', 'ALLN']),
+            np.array([True, False, False, False, False]), np.arange(5, dtype=np.uint64),
+            19, 19, sink)
+        return observer, sink
+
+    @staticmethod
+    def stage(due, accepted, ref=None):
+        return dict(h32=np.zeros(2, np.float32), delta_si=np.zeros(2), request=np.zeros(2, bool),
+            g=np.zeros(2), g_pre_apl=np.zeros(2), due_edge_indices=np.asarray(due, np.int64),
+            arrival_accepted=np.asarray(accepted, bool),
+            ref_after_reset=np.zeros(2, np.int32) if ref is None else ref,
+            fired=np.zeros(2, bool))
+
+    def test_observer_all_accepted_signs_and_zeros(self):
+        observer, sink = self.observer()
+        for tick in range(18):
+            observer(tick, self.stage([], []))
+        observer(18, self.stage([0, 1, 2], [True, True, True]))
+        report = observer.report()
+        self.assertEqual(sink.rows, 3)
+        self.assertEqual(report['source_groups']['APL']['zero'], 1)
+        self.assertEqual(sink.calls[-1]['source_spike_tick'].tolist(), [0, 0, 0])
+        self.assertEqual(observer.design_ticks[3], [18])
+        self.assertEqual(sink.calls[-1]['weight_sign'].tolist(), [1, 0, -1])
+
+    def test_observer_ref_guard_and_no_rejected_records(self):
+        observer, sink = self.observer()
+        for tick in range(18):
+            observer(tick, self.stage([], []))
+        stage = self.stage([0, 1, 2], [False, False, True], np.array([22, 0], np.int32))
+        stage['fired'][0] = True
+        observer(18, stage)
+        self.assertEqual(sink.rows, 1)
+        self.assertEqual(observer.report()['rejected_events'], 2)
+        self.assertEqual(observer.last.tolist(), [18, -1])
+
+    def test_observer_bad_acceptance_raises(self):
+        observer, _ = self.observer()
+        for tick in range(18):
+            observer(tick, self.stage([], []))
+        with self.assertRaises(ValueError):
+            observer(18, self.stage([0], [True], np.array([22, 0], np.int32)))
+
+    def test_observer_rejects_unexpected_input_and_graded_APL(self):
+        observer, _ = self.observer()
+        stage = self.stage([], [])
+        stage['request'][0] = True
+        with self.assertRaises(ValueError):
+            observer(0, stage)
+        stage['request'][0] = False
+        stage['h32'][0] = 1.
+        with self.assertRaises(ValueError):
+            observer(0, stage)
+
+    def test_frozen_replay_core_synthetic_integration(self):
+        module_spec = importlib.util.spec_from_file_location('origin_test_frozen_core',
+            Path(__file__).resolve().parent.parent / 'kc-drive-audit-v1/replay_core.py')
+        core = importlib.util.module_from_spec(module_spec)
+        module_spec.loader.exec_module(core)
+        incoming = core.IncomingIndex(np.array([0], np.int32), np.array([0], np.int32),
+            np.array([0], np.int64), np.array([1.], np.float64), 2)
+        sink = MemorySink()
+        observer = ALLNObserver(np.array([3, 4], np.int32), incoming,
+            np.array(['ALPN', 'APL', 'ALLN', 'ALLN', 'ALLN']),
+            np.array([True, False, False, False, False]), np.arange(5, dtype=np.uint64), 40, 30, sink)
+        coeff = dict(gd=.98, c0=-.00052, cg=.005, cv=.99, threshold=-.045, reset=-.052, seed_volt=-.044)
+        result = core.replay(np.full(2, -.052), np.zeros(2), coeff, 40, np.array([3, 4], np.int32),
+            dict(tick=np.array([], np.int32), neuron_idx=np.array([], np.int32)),
+            dict(step=np.array([0], np.int32), neuron_idx=np.array([0], np.int32)), incoming,
+            np.zeros((40, 2), np.float32), observer)
+        self.assertEqual(observer.report()['accepted_events'], 1)
+        self.assertGreater(int(result['first_spike'][0]), 18)
+        self.assertEqual(int(result['first_spike'][1]), -1)
+        self.assertEqual(observer.design_ticks[3], [18])
+        nonempty = [call for call in sink.calls if len(call['edge_id'])]
+        self.assertEqual(nonempty[0]['target_previous_spike_tick'].tolist(), [-1])
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/test_calibration.py b/models/male-cns-lif/apl-timing-lab-v1/test_calibration.py
new file mode 100644
index 0000000..84571ff
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/test_calibration.py
@@ -0,0 +1,244 @@
+"""Synthetic CPU/file-fixture tests only; no real records, Torch, or Brian."""
+import copy
+import json
+from pathlib import Path
+import tempfile
+import types
+import unittest
+from unittest.mock import patch
+
+import numpy as np
+import pandas as pd
+
+import calibration as cal
+
+
+HERE = Path(__file__).resolve().parent
+LEGACY = cal.load_legacy(HERE.parent / "author-apl-lab-v2/calibration.py")
+CFG = json.loads((HERE / "config.json").read_text(encoding="utf-8"))
+
+
+def save_json(path, value):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(json.dumps(value, allow_nan=False), encoding="utf-8")
+
+
+def records():
+    odors = sorted(LEGACY.ORIGINAL_CAL_IDS)
+    return [dict(name=f"cal-{mode}-{index:02d}-s{seed}", mode=mode, odor_index=index,
+                 odor_id=odor, seed=seed, requests=0)
+            for mode in LEGACY.ORIGINAL_MODES for index, odor in enumerate(odors) for seed in LEGACY.ORIGINAL_SEEDS]
+
+
+def timing_files(directory, delay, steps=20):
+    generated = np.arange(steps * 4064, dtype=np.float32).reshape(steps, 4064) / np.float32(10000)
+    stream = np.concatenate((np.zeros((delay, 4064), np.float32), generated))
+    applied, pending = stream[:steps].copy(), stream[steps:].copy()
+    state = np.arange(steps * 2, dtype=np.float32).reshape(steps, 2)
+    np.save(directory / "apl-applied.float32.npy", applied)
+    np.save(directory / "apl-pending-tail.float32.npy", pending)
+    audit = dict(pass_all=True, apl_delay_steps=delay, steps=steps, pending_generated_count=min(steps, delay),
+        pending_initial_zero_prefix=max(delay-steps, 0), pending_application_tick_start=steps,
+        pending_application_tick_stop_exclusive=steps+delay, pending_generated_tick_start=max(0, steps-delay),
+        pending_generated_tick_stop_exclusive=steps, initial_padding_positive_zero=True, sample_bits_preserved=True,
+        brain_tail_advanced=False, generated_trace="apl-inhibition.float32.npy", applied_trace="apl-applied.float32.npy",
+        pending_trace="apl-pending-tail.float32.npy", pending_raw_sha256=cal.raw_hash(pending),
+        pending_queue_drained=delay == 0, finite_generated_sequence_only=True,
+        future_apl_decay_or_feedback_generated=False, closed_loop_branch_integrals_claimed_equal=False,
+        biological_delay_measurement_claimed=False, final_apl_state_float32=state[-1].tolist(),
+        final_apl_state_u32_bits=state[-1].view(np.uint32).tolist(), final_apl_state_nonzero=bool(np.any(state[-1] != 0)))
+    save_json(directory / "apl-timing-audit.json", audit)
+    save_json(directory / "summary.json", dict(apl_delay_steps=delay, apl_timing=audit))
+    trial = dict(apl={"apl-inhibition.float32.npy": generated, "apl-state.float32.npy": state})
+    return dict(steps=steps, apl_delay_steps=delay), trial
+
+
+def control_files(root, record_history=True):
+    new, old, case = root / "new", root / "old", root / "case"
+    for directory in (new, old, case):
+        directory.mkdir()
+    spec = dict(name="synthetic", steps=3, apl_delay_steps=0, record_history=record_history)
+    save_json(case / "spec.json", spec)
+    for index, directory in enumerate((new, old)):
+        summary = dict(case="synthetic", steps=3, completed_ticks=3, complete=True, pass_all=True,
+            nodes=2, edges=3, precision="float64", apl_fast_edges_zeroed=1, kc_targets_present=1,
+            effective_weights_raw_sha256="a" * 64, build_wall_seconds=index,
+            input_sha256={"spec.json": str(index)}, output_budget_bytes=123+index)
+        save_json(directory / "summary.json", summary)
+        state = {key: np.zeros(0 if key in ("step", "neuron_idx") else 2, dtype) for key, dtype in cal.STATE_DTYPES.items()}
+        np.savez(directory / "state.npz", **state)
+        for name, width in cal.APL_FILES.items():
+            np.save(directory / name, np.zeros((3, width), np.float32))
+        for name in ("tick-state-hashes.jsonl", "queue.jsonl"):
+            (directory / name).write_text("\n".join(json.dumps(dict(tick=t, same=True)) for t in range(3)), encoding="utf-8")
+        (directory / "requests.csv").write_text(",".join(cal.REQUEST_FIELDS) + "\n", encoding="utf-8")
+        save_json(directory / "apl-component.json", dict(ok=True, environment={"synthetic": True}))
+        if record_history:
+            for key, dtype in (("v", "float64"), ("g", "float64"), ("ref", "int32")):
+                for name in (f"{key}-history.{dtype}.npy", f"preAPL-{key}.{dtype}.npy"):
+                    np.save(directory / name, np.zeros((3, 2), dtype))
+    return new, old, case
+
+
+def fake_trial(output, row, delay):
+    state = {name: np.zeros(1, dtype) for name, dtype in cal.STATE_DTYPES.items()}
+    counts = np.zeros(1000, np.int32)
+    if delay == 18:
+        counts[row["odor_index"] * 50:(row["odor_index"] + 1) * 50] = 1
+    return dict(state=state, apl={name: np.zeros((1, width), np.float32) for name, width in cal.APL_FILES.items()},
+        hashes=[], queues=[], requests=[], component={}, kc_counts=counts, expected_external_events=10., external_events=0,
+        record=dict(case=row["name"], requested=0), output=output,
+        timing=dict(applied=np.zeros((1, 4064), np.float32), pending=np.zeros((delay, 4064), np.float32),
+            audit=dict(synthetic=True), report=dict(pass_all=True)))
+
+
+class CalibrationTimingTests(unittest.TestCase):
+    def test_all_original_inventory_and_pair_specific_gates_are_reused(self):
+        rows = records()
+        odors = LEGACY.validate_inventory(rows, CFG)
+        runs = {(r["mode"], r["odor_id"], r["seed"]): fake_trial(Path("synthetic"), r, 18) for r in rows}
+        report = LEGACY.summarize_mode(LEGACY.ORIGINAL_MODES[0], odors, LEGACY.ORIGINAL_SEEDS, runs, CFG["gates"])
+        self.assertTrue(report["gate"])
+        self.assertEqual((report["within_distance_count"], report["between_distance_count"], report["pair_count"]), (60, 75, 15))
+        self.assertTrue(all(r["within_distance_count"] == 20 and r["between_distance_count"] == 5 for r in report["pairs"]))
+        self.assertFalse(hasattr(LEGACY, "EXP"))
+        with self.assertRaises(ValueError):
+            LEGACY.validate_inventory(rows[:-1], CFG)
+
+    def test_direct_slices_cover_zero_delay_boundary_and_short_window(self):
+        for delay in (0, 18):
+            for steps in (1, 17, 18, 19, 37):
+                with self.subTest(delay=delay, steps=steps), tempfile.TemporaryDirectory() as tmp:
+                    spec, trial = timing_files(Path(tmp), delay, steps)
+                    result = cal.validate_timing(Path(tmp), spec, trial)
+                    try:
+                        self.assertTrue(result["report"]["pass_all"])
+                        self.assertEqual(result["pending"].shape, (delay, 4064))
+                    finally:
+                        result["applied"]._mmap.close()
+                        result["pending"]._mmap.close()
+
+    def test_tail_or_application_bit_corruption_fails(self):
+        for filename in ("apl-applied.float32.npy", "apl-pending-tail.float32.npy"):
+            with self.subTest(filename=filename), tempfile.TemporaryDirectory() as tmp:
+                root = Path(tmp); spec, trial = timing_files(root, 18)
+                value = np.load(root / filename)
+                value[-1, 1] = np.nextafter(value[-1, 1], np.float32(np.inf))
+                np.save(root / filename, value)
+                with self.assertRaisesRegex(ValueError, "partition"):
+                    cal.validate_timing(root, spec, trial)
+
+    def test_negative_zero_padding_and_fabricated_future_audit_fail(self):
+        with tempfile.TemporaryDirectory() as tmp:
+            root = Path(tmp); spec, trial = timing_files(root, 18, 1)
+            value = np.load(root / "apl-applied.float32.npy")
+            value[0, 0] = np.float32(-0.)
+            np.save(root / "apl-applied.float32.npy", value)
+            with self.assertRaisesRegex(ValueError, "positive zero"):
+                cal.validate_timing(root, spec, trial)
+        for key, value in (("brain_tail_advanced", True), ("final_apl_state_nonzero", False),
+                           ("pending_initial_zero_prefix", 1), ("pass_all", 1)):
+            with self.subTest(key=key), tempfile.TemporaryDirectory() as tmp:
+                root = Path(tmp); spec, trial = timing_files(root, 18, 20)
+                audit = cal.read_json(root / "apl-timing-audit.json"); audit[key] = value
+                save_json(root / "apl-timing-audit.json", audit)
+                with self.assertRaisesRegex(ValueError, "audit disagrees"):
+                    cal.validate_timing(root, spec, trial)
+
+    def test_delay0_control_ignores_runtime_and_budget_metadata(self):
+        with tempfile.TemporaryDirectory() as tmp:
+            new, old, case = control_files(Path(tmp))
+            result = cal.control_identity(new, old, case)
+            self.assertTrue(result["pass_all"])
+            self.assertFalse(result["adapter_paths_budgets_and_runtime_metadata_compared"])
+            self.assertIn("preAPL-g.float64.npy", result["checks"])
+
+    def test_control_signed_zero_history_and_missing_trace_fail(self):
+        with tempfile.TemporaryDirectory() as tmp:
+            new, old, case = control_files(Path(tmp))
+            with np.load(new / "state.npz") as archive:
+                state = {key: archive[key].copy() for key in archive.files}
+            state["v"][0] = -0.
+            np.savez(new / "state.npz", **state)
+            result = cal.control_identity(new, old, case)
+            self.assertFalse(result["checks"]["state/v"])
+            self.assertFalse(result["pass_all"])
+        with tempfile.TemporaryDirectory() as tmp:
+            new, old, case = control_files(Path(tmp))
+            np.save(new / "preAPL-g.float64.npy", np.ones((3, 2), np.float64))
+            self.assertFalse(cal.control_identity(new, old, case)["pass_all"])
+            (new / "apl-drive.float32.npy").unlink()
+            with self.assertRaises(FileNotFoundError):
+                cal.control_identity(new, old, case)
+
+    def test_control_rejects_delay18_and_incomplete_results(self):
+        with tempfile.TemporaryDirectory() as tmp:
+            new, old, case = control_files(Path(tmp), False)
+            spec = cal.read_json(case / "spec.json"); spec["apl_delay_steps"] = 18
+            save_json(case / "spec.json", spec)
+            with self.assertRaisesRegex(ValueError, "only for explicit delay0"):
+                cal.control_identity(new, old, case)
+            spec["apl_delay_steps"] = 0; save_json(case / "spec.json", spec)
+            summary = cal.read_json(new / "summary.json"); summary["complete"] = False
+            save_json(new / "summary.json", summary)
+            with self.assertRaisesRegex(ValueError, "incomplete"):
+                cal.control_identity(new, old, case)
+
+    def test_repeat_includes_applied_pending_and_audit(self):
+        trial = fake_trial(Path("synthetic"), records()[0], 18)
+        self.assertTrue(cal.timing_repeat(trial, copy.deepcopy(trial), LEGACY)["pass_all"])
+        for key in ("applied", "pending", "audit"):
+            bad = copy.deepcopy(trial)
+            if key == "audit": bad["timing"][key]["synthetic"] = False
+            else: bad["timing"][key][0, 0] = 1
+            self.assertFalse(cal.timing_repeat(trial, bad, LEGACY)["pass_all"])
+
+    def test_both_arms_keep_full_inventory_despite_control_repr_failure(self):
+        rows = records(); odors = LEGACY.validate_inventory(rows, CFG)
+        by_name = {row["name"]: row for row in rows}
+        calls = []
+        def read_new(legacy, output, case, spec, kc, cfg):
+            calls.append(str(output))
+            return fake_trial(output, by_name[case.name], spec["apl_delay_steps"])
+        with patch.object(cal, "_case_spec", side_effect=lambda case, old, row, delay: dict(apl_delay_steps=delay)), \
+             patch.object(cal, "_read_new", side_effect=read_new), \
+             patch.object(cal, "_provenance", return_value={}), \
+             patch.object(cal, "control_identity", return_value=dict(case="synthetic", pass_all=True, checks={})): 
+            reports = [cal.collect_arm("delay"+str(delay), delay, rows, odors, LEGACY, CFG,
+                Path("synthetic-exp"), Path("synthetic-ag"), np.arange(4064, dtype=np.int32)) for delay in (0,18)]
+        self.assertEqual(len(calls), 144)
+        self.assertTrue(all(r["execution_gate_pass"] for r in reports))
+        self.assertFalse(reports[0]["original_representation_gate_pass"])
+        self.assertTrue(reports[1]["original_representation_gate_pass"])
+        self.assertEqual([r["valid_base_trials"] for r in reports], [60, 60])
+        self.assertEqual([r["checked_repeats"] for r in reports], [12, 12])
+        self.assertEqual(len(reports[0]["control_checks"]), 72)
+
+    def test_none_recomputation_is_deterministic_and_never_writes(self):
+        rows = records(); odors = sorted(LEGACY.ORIGINAL_CAL_IDS)
+        panel = pd.DataFrame(dict(split=["calibration"]*6+["heldout"]*6,
+            odor_id=odors+["static-only-"+str(n) for n in range(6)], mapped_response_sum=[1.]*12))
+        encoder = dict(panel_count=12, cal_count=6, seeds=list(LEGACY.ORIGINAL_SEEDS),
+            requested_before_any_dynamics=True, formal_AB_run=False, heldout_run=False, median_mapped_response_sum=1.)
+        with tempfile.TemporaryDirectory() as tmp:
+            ctx = types.ModuleType("context")
+            ctx.EXP, ctx.AG, ctx.ROOT, ctx.CFG, ctx.check = Path(tmp)/"exp", Path(tmp)/"ag", Path(tmp), CFG, lambda: None
+            def fake_arm(arm, *args):
+                return dict(arm=arm, numerical_integrity_pass=True, exact_repeat_pass=True,
+                    delay0_control_identity_pass=True if arm == "delay0" else None,
+                    original_representation_gate_pass=False, failures=[], modes={"physiological": {"gate": False}})
+            with patch.dict("sys.modules", {"context": ctx}), patch.object(cal, "load_legacy", return_value=LEGACY), \
+                 patch.object(cal, "read_json", side_effect=lambda p: rows if Path(p).name == "calibration-cases.json" else encoder), \
+                 patch.object(cal, "file_hash", return_value="same"), patch.object(pd, "read_parquet", return_value=panel), \
+                 patch.object(cal.np, "load", return_value=np.arange(4064, dtype=np.int32)), \
+                 patch.object(cal, "collect_arm", side_effect=fake_arm):
+                first, second = cal.summarize(None), cal.summarize(None)
+            self.assertEqual(first, second)
+            self.assertTrue(first["execution_gate_pass"])
+            self.assertFalse(first["pass_all"])
+            json.dumps(first, allow_nan=False)
+            self.assertEqual(list(Path(tmp).iterdir()), [])
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/test_protocol.py b/models/male-cns-lif/apl-timing-lab-v1/test_protocol.py
new file mode 100644
index 0000000..65fd626
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/test_protocol.py
@@ -0,0 +1,199 @@
+"""Synthetic orchestration/producer-contract checks; never launch a brain."""
+import ast
+import json
+from pathlib import Path
+import sys
+import tempfile
+from types import ModuleType
+import unittest
+from unittest.mock import patch
+
+import numpy as np
+
+import compare_timing
+import oracle_timing
+import run_suite
+from shift_audit import transport
+from timing_queue import audit_sequence
+
+
+HERE = Path(__file__).resolve().parent
+
+
+def fake_calibration_records():
+    return [dict(name=f'cal-{mode}-{odor:02d}-s{seed}', mode=mode, odor_id='odor'+str(odor), seed=seed)
+            for mode in ('physiological', 'matched_energy') for odor in range(6)
+            for seed in range(51101, 51106)]
+
+
+def oracle_timing_dict(delay, generated, pending, final_state):
+    """Evaluate only the actual producer's explicit metadata dict, no run call."""
+    tree = ast.parse((HERE / 'oracle_timing.py').read_text(encoding='utf-8'))
+    calls = [n for n in ast.walk(tree) if isinstance(n, ast.Call) and isinstance(n.func, ast.Name)
+             and n.func.id == '_save' and len(n.args) > 1 and isinstance(n.args[1], ast.Dict)
+             and any(isinstance(s, ast.Constant) and s.value == 'apl-timing-audit.json'
+                     for s in ast.walk(n.args[0]))]
+    if len(calls) != 1:
+        raise AssertionError('Expected exactly one explicit oracle timing-metadata producer')
+    steps = len(generated)
+    namespace = dict(np=np, min=min, max=max, bool=bool, apl_delay_steps=delay, steps=steps,
+        consumed=max(steps-delay, 0), initial_zero_prefix=max(delay-steps, 0), pending_tail=pending,
+        apl_history={'state': np.asarray([final_state], np.float32)}, out_dir=Path('.'),
+        _array_hash=oracle_timing._array_hash, _digest=lambda _: '0'*64)
+    return eval(compile(ast.Expression(calls[0].args[1]), '<only metadata literal>', 'eval'), namespace)
+
+
+class ProtocolTests(unittest.TestCase):
+    def test_two_independent_queues_match_both_arms_and_short_windows(self):
+        for delay in (0, 18):
+            for steps in (0, 1, 17, 18, 19, 37):
+                with self.subTest(delay=delay, steps=steps):
+                    generated = ((np.arange(steps * 4064).reshape(steps, 4064) % 31)
+                                 .astype(np.float32) * np.float32(.001))
+                    if steps:
+                        generated[0, 0] = np.float32(-0.)
+                    applied, pending, report = transport(generated, delay)
+                    independent = oracle_timing._APLDelayFIFO(delay)
+                    expected = np.empty_like(generated)
+                    for tick, row in enumerate(generated):
+                        expected[tick] = independent.step(tick, row)
+                    tail = independent.finish(steps)
+                    np.testing.assert_array_equal(applied.view(np.uint32), expected.view(np.uint32))
+                    np.testing.assert_array_equal(pending.view(np.uint32), tail.view(np.uint32))
+                    self.assertTrue(report['pass_all'])
+
+    def test_queue_rejects_off_by_one_and_lost_pending(self):
+        values = np.ones((19, 2), np.float32)
+        applied, pending, _ = transport(values, 18)
+        corrupt = applied.copy()
+        corrupt[17] = 1
+        with self.assertRaises(ValueError):
+            audit_sequence(values, corrupt, pending, 18)
+        with self.assertRaises(ValueError):
+            audit_sequence(values, applied, pending[:-1], 18)
+
+    def test_actual_oracle_metadata_matches_compare_contract(self):
+        for delay in (0, 18):
+            for steps in (1, 17, 18, 19, 37):
+                with self.subTest(delay=delay, steps=steps):
+                    generated = np.full((steps, 4064), .25, np.float32)
+                    _, pending, _ = transport(generated, delay)
+                    final = np.array([.125, -0.], np.float32)
+                    timing = oracle_timing_dict(delay, generated, pending, final)
+                    summary = dict(pending_generated_count=min(delay, steps),
+                        pending_initial_zero_prefix=max(delay-steps, 0), pending_tail_shape=[delay, 4064],
+                        future_generated_decay_tail_included=False, APL_worker_ticks=steps)
+                    run = dict(timing=timing, summary=summary, pending=pending,
+                               apl={'state': np.asarray([final], np.float32)})
+                    checks = {}
+                    compare_timing._timing_metadata_checks(run, 'cpu', delay, steps, checks)
+                    self.assertTrue(all(checks.values()), checks)
+
+    def test_bad_metadata_must_fail_without_fitted_tolerance(self):
+        generated = np.ones((3, 4064), np.float32)
+        _, pending, _ = transport(generated, 18)
+        final = np.array([.125, 0.], np.float32)
+        timing = oracle_timing_dict(18, generated, pending, final)
+        timing['pending_initial_zero_prefix'] += 1
+        run = dict(timing=timing, summary={}, pending=pending, apl={'state': np.asarray([final])})
+        checks = {}
+        compare_timing._timing_metadata_checks(run, 'cpu', 18, 3, checks)
+        self.assertFalse(checks['cpu.timing_integer_metadata'])
+
+    def _suite(self, stage, *, failed_read=None, execution=True, representation=False,
+               control=True, repeat=True):
+        records = fake_calibration_records()
+        saved, children = {}, []
+        def read(path):
+            path = str(path).replace('\\', '/')
+            if path.endswith('calibration-cases.json'):
+                return records
+            return {'pass_all': not (failed_read and path.endswith(failed_read))}
+        fake = ModuleType('calibration')
+        fake.summarize = lambda: dict(execution_gate_pass=execution, pass_all=representation)
+        fake.control_identity = lambda *args: dict(pass_all=control)
+        with tempfile.TemporaryDirectory() as directory:
+            with patch.object(run_suite, 'EXP', Path(directory)), patch.object(run_suite, 'check'), \
+                 patch.object(run_suite, 'budget'), patch.object(run_suite, 'read', side_effect=read), \
+                 patch.object(run_suite, 'save', side_effect=lambda path, result: saved.update({Path(path).name: result})), \
+                 patch.object(run_suite, 'child', side_effect=lambda *args: children.append(args)), \
+                 patch.object(run_suite, 'gate_case', side_effect=lambda arm, name, repeats:
+                     dict(arm=arm, case=name, pass_all=True, gpu_repeats=repeats)), \
+                 patch.object(compare_timing, 'compare_gpu_repeats', return_value=dict(pass_all=repeat)), \
+                 patch.dict(sys.modules, {'calibration': fake}), patch.object(sys, 'argv', ['run_suite.py', stage]):
+                error = None
+                try:
+                    run_suite.main()
+                except AssertionError as caught:
+                    error = caught
+        return saved, children, error
+
+    def test_fixture_gate_covers_both_arms_all_cases(self):
+        saved, children, error = self._suite('fixtures')
+        self.assertIsNone(error)
+        self.assertEqual(children, [])
+        rows = saved['fixtures-gate.json']['cases']
+        self.assertEqual(len(rows), 16)
+        self.assertEqual({r['arm'] for r in rows}, {'delay0', 'delay18'})
+        self.assertTrue(all(r['gpu_repeats'] == 3 for r in rows))
+
+    def test_probe_stage_cannot_bypass_fixture_failure(self):
+        saved, children, error = self._suite('probes', failed_read='fixtures-gate.json')
+        self.assertIsNotNone(error)
+        self.assertEqual(children, [])
+        self.assertNotIn('probes-gate.json', saved)
+
+    def test_CAL_cannot_bypass_probe_failure(self):
+        saved, children, error = self._suite('calibration', failed_read='probes-gate.json')
+        self.assertIsNotNone(error)
+        self.assertEqual(children, [])
+        self.assertNotIn('calibration-gate.json', saved)
+
+    def test_representation_failure_does_not_select_or_stop_an_arm(self):
+        saved, children, error = self._suite('calibration', execution=True, representation=False)
+        self.assertIsNone(error)
+        self.assertEqual(len(children), 140)  # (60 - 2 already-probed + 12 repeat) per arm.
+        self.assertEqual({row[1] for row in children}, {'delay0', 'delay18'})
+        self.assertTrue(saved['calibration-gate.json']['pass_all'])
+        self.assertFalse(saved['calibration-gate.json']['representation_pass_all'])
+        for arm in ('delay0', 'delay18'):
+            self.assertEqual(sum(row[1] == arm and len(row) == 4 and row[3] == 1 for row in children), 12)
+
+    def test_CAL_numerical_failure_stops_later_execution(self):
+        saved, _, error = self._suite('calibration', execution=False, representation=False)
+        self.assertIsNotNone(error)
+        self.assertFalse(saved['calibration-gate.json']['pass_all'])
+        self.assertTrue(saved['stopped-calibration.json']['later_stages_not_permitted'])
+
+    def test_control_divergence_stops_before_next_trial_or_other_arm(self):
+        saved, children, error = self._suite('calibration', control=False)
+        self.assertIsNotNone(error)
+        # The first r0 is a completed fullgraph probe; do not even run its r1.
+        self.assertEqual(children, [])
+        self.assertNotIn('calibration-gate.json', saved)
+        self.assertTrue(saved['stopped-calibration.json']['later_stages_not_permitted'])
+
+    def test_repeat_divergence_stops_before_next_trial_or_other_arm(self):
+        saved, children, error = self._suite('calibration', repeat=False)
+        self.assertIsNotNone(error)
+        self.assertEqual(len(children), 1)
+        self.assertEqual(children[0][1], 'delay0')
+        self.assertEqual(children[0][-1], 1)
+        self.assertNotIn('calibration-gate.json', saved)
+        self.assertTrue(saved['stopped-calibration.json']['later_stages_not_permitted'])
+
+    def test_origin_failure_prevents_any_new_fixture_run(self):
+        saved, children, error = self._suite('fixtures', failed_read='origin-audit/summary.json')
+        self.assertIsNotNone(error)
+        self.assertEqual(saved, {})
+        self.assertEqual(children, [])
+
+    def test_shift_failure_prevents_any_new_fixture_run(self):
+        saved, children, error = self._suite('fixtures', failed_read='shift-gate.json')
+        self.assertIsNotNone(error)
+        self.assertEqual(saved, {})
+        self.assertEqual(children, [])
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/tests/__init__.py b/models/male-cns-lif/apl-timing-lab-v1/tests/__init__.py
new file mode 100644
index 0000000..cb53f74
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/tests/__init__.py
@@ -0,0 +1 @@
+"""Discoverable synthetic tests; no scientific execution during imports."""
diff --git a/models/male-cns-lif/apl-timing-lab-v1/tests/test_compare_timing.py b/models/male-cns-lif/apl-timing-lab-v1/tests/test_compare_timing.py
new file mode 100644
index 0000000..b323232
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/tests/test_compare_timing.py
@@ -0,0 +1,169 @@
+"""Synthetic array-only comparator tests: no backend or scientific inputs."""
+from pathlib import Path
+import copy
+import sys
+import unittest
+
+import numpy as np
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+import compare_timing as compare
+
+
+def traces(delay, steps, width=3):
+    generated = np.arange(steps * width, dtype=np.float32).reshape(steps, width) * np.float32(.125)
+    full = np.concatenate((np.zeros((delay, width), dtype=np.float32), generated))
+    return generated, full[:steps].copy(), full[steps:].copy()
+
+
+def sequence_result(generated, applied, pending, delay):
+    checks, differences = {}, {}
+    compare._timing_sequence_checks(generated, applied, pending, delay, 'test', checks, differences)
+    return checks, differences
+
+
+def metadata_run(delay, steps, cpu=False):
+    generated, applied, pending = traces(delay, steps, 4064)
+    state = np.tile(np.array([.25, 1.125], np.float32), (steps, 1))
+    timing = dict(apl_delay_steps=delay, steps=steps, pending_generated_count=min(steps, delay),
+                  generated_rows=steps, applied_generated_rows=max(steps-delay, 0), pending_shape=[delay, 4064],
+                  pending_initial_zero_prefix=max(delay-steps, 0),
+                  pending_application_tick_start=steps, pending_application_tick_stop_exclusive=steps+delay,
+                  pending_generated_tick_start=max(steps-delay, 0), pending_generated_tick_stop_exclusive=steps,
+                  pending_raw_sha256=compare.raw_hash(pending, '<f4'),
+                  final_apl_state_float32=state[-1].tolist(),
+                  final_apl_state_u32_bits=state[-1].view(np.uint32).tolist(), final_apl_state_nonzero=True,
+                  brain_tail_advanced=False, future_apl_decay_or_feedback_generated=False,
+                  finite_generated_sequence_only=True, closed_loop_branch_integrals_claimed_equal=False,
+                  biological_delay_measurement_claimed=False, brain_steps_after_window=0,
+                  APL_generation_steps_after_window=0, future_generated_decay_tail_included=False)
+    summary = dict(apl_timing=copy.deepcopy(timing), pending_generated_count=min(steps, delay),
+                   pending_initial_zero_prefix=max(delay-steps, 0), pending_tail_shape=[delay, 4064],
+                   future_generated_decay_tail_included=False, APL_worker_ticks=steps)
+    return dict(apl={'inhibition': generated, 'applied': applied, 'state': state}, pending=pending,
+                timing=timing, summary=summary)
+
+
+class TimingComparisonTests(unittest.TestCase):
+    def test_delay_zero_and_18_partition(self):
+        for delay in (0, 18):
+            for steps in (1, 7, 18, 19, 54):
+                with self.subTest(delay=delay, steps=steps):
+                    checks, differences = sequence_result(*traces(delay, steps), delay)
+                    self.assertTrue(all(checks.values()), differences)
+
+    def test_one_tick_shift_rejected_independently(self):
+        generated, applied, pending = traces(18, 40)
+        applied[18:] = generated[1:23]
+        checks, _ = sequence_result(generated, applied, pending, 18)
+        self.assertFalse(checks['test.fixed_delay_applied.bitwise_exact'])
+
+    def test_pending_wrong_chronology_rejected(self):
+        generated, applied, pending = traces(18, 40)
+        checks, _ = sequence_result(generated, applied, pending[::-1].copy(), 18)
+        self.assertFalse(checks['test.fixed_delay_pending.bitwise_exact'])
+
+    def test_initial_zero_must_be_positive_bits(self):
+        generated, applied, pending = traces(18, 4)
+        pending.view(np.uint32)[0, 0] = 0x80000000
+        checks, _ = sequence_result(generated, applied, pending, 18)
+        self.assertFalse(checks['test.fixed_delay_pending.bitwise_exact'])
+        generated, applied, pending = traces(18, 22)
+        applied.view(np.uint32)[0, 0] = 0x80000000
+        checks, _ = sequence_result(generated, applied, pending, 18)
+        self.assertFalse(checks['test.fixed_delay_applied.bitwise_exact'])
+
+    def test_generated_signed_zero_preserved(self):
+        generated, applied, pending = traces(0, 1)
+        generated.view(np.uint32)[0, 0] = 0x80000000
+        applied[:] = generated
+        checks, _ = sequence_result(generated, applied, pending, 0)
+        self.assertTrue(all(checks.values()))
+        applied.view(np.uint32)[0, 0] = 0
+        checks, _ = sequence_result(generated, applied, pending, 0)
+        self.assertFalse(checks['test.fixed_delay_applied.bitwise_exact'])
+
+    def test_schema_and_delay_fail_closed(self):
+        generated, applied, pending = traces(18, 4)
+        for delay in (True, 1, 18.0):
+            with self.assertRaises(ValueError):
+                sequence_result(generated, applied, pending, delay)
+        with self.assertRaises(ValueError):
+            sequence_result(generated.astype(np.float64), applied, pending, 18)
+        with self.assertRaises(ValueError):
+            sequence_result(generated, applied, pending[-4:], 18)
+
+    def test_nonfinite_or_negative_generated_fails_even_if_shift_matches(self):
+        for value in (np.inf, np.nan, -1):
+            generated, applied, pending = traces(0, 2)
+            generated[0, 0] = value
+            applied[:] = generated
+            checks, _ = sequence_result(generated, applied, pending, 0)
+            self.assertFalse(checks['test.timing_finite_nonnegative'])
+
+    def test_both_backend_metadata_valid(self):
+        for role in ('gpu', 'cpu', 'first_gpu', 'second_gpu'):
+            for delay, steps in ((0, 25), (18, 7), (18, 25)):
+                run = metadata_run(delay, steps, cpu=role == 'cpu')
+                checks = {}
+                compare._timing_metadata_checks(run, role, delay, steps, checks)
+                self.assertTrue(all(checks.values()), checks)
+
+    def test_metadata_rejects_wrong_count_tail_advance_and_final_state(self):
+        for role in ('gpu', 'cpu'):
+            for change in ('count', 'tail', 'final', 'prefix', 'hash'):
+                run = metadata_run(18, 25, cpu=role == 'cpu')
+                if change == 'count':
+                    run['timing']['pending_generated_count'] = 17
+                elif change == 'tail':
+                    run['timing']['brain_steps_after_window' if role == 'cpu' else 'brain_tail_advanced'] = 1
+                elif change == 'final':
+                    run['timing']['final_apl_state_u32_bits'][0] += 1
+                elif change == 'prefix':
+                    run['timing']['pending_initial_zero_prefix'] = False
+                else:
+                    run['timing']['pending_raw_sha256'] = '0' * 64
+                checks = {}
+                compare._timing_metadata_checks(run, role, 18, 25, checks)
+                self.assertFalse(all(checks.values()), (role, change))
+
+    def test_g_write_uses_applied_and_is_unconditional_during_ref(self):
+        nodes, kc = np.array([10, 12], np.int32), np.array([10], np.int32)
+        v = np.full((3, 2), -.06, np.float64)
+        ref = np.array([[22, 0], [21, 0], [20, 0]], np.int32)
+        before = np.array([[0, -.001], [-0., .001], [.002, -.003]], np.float64)
+        applied = np.array([[.25], [0], [1]], np.float32)
+        after = before.copy()
+        after[:, 0] -= applied[:, 0].astype(np.float64) * np.float64(.001)
+        run = dict(pre={'v': v, 'g': before, 'ref': ref}, histories={'v': v.copy(), 'g': after, 'ref': ref.copy()},
+                   apl={'applied': applied, 'inhibition': np.full((3, 1), 99, np.float32)})
+        checks, differences = {}, {}
+        compare._check_apl_application(run, 'test', nodes, kc, checks, differences)
+        self.assertTrue(all(checks.values()), differences)
+        run['histories']['g'] = before.copy()  # Hypothetical refractory guard must fail.
+        checks, differences = {}, {}
+        compare._check_apl_application(run, 'test', nodes, kc, checks, differences)
+        self.assertFalse(checks['test.apl_unconditional_g_write.bitwise_exact'])
+
+    def test_pair_comparison_includes_applied_and_pending(self):
+        def output():
+            generated, applied, pending = traces(18, 20)
+            return dict(state={'step': np.empty(0, np.int32), 'neuron_idx': np.empty(0, np.int32),
+                               'counts': np.zeros(1, np.int32), 'ref': np.zeros(1, np.int32),
+                               'v': np.zeros(1, np.float64), 'g': np.zeros(1, np.float64)},
+                        apl={'drive': np.zeros((20, 2), np.float32), 'state': np.zeros((20, 2), np.float32),
+                             'inhibition': np.pad(generated, ((0, 0), (0, 4061))),
+                             'applied': np.pad(applied, ((0, 0), (0, 4061)))},
+                        pending=np.pad(pending, ((0, 0), (0, 4061))),
+                        hashes=[], queues=[], requests=[], component={}, histories={}, pre={})
+        left, right = output(), output()
+        right['apl']['applied'][0, 0] = 1
+        right['pending'][0, 0] += 1
+        checks, differences = {}, {}
+        compare._pair_outputs(left, right, checks, differences, 1, 20, False)
+        self.assertFalse(checks['apl.applied.bitwise_exact'])
+        self.assertFalse(checks['apl.pending.bitwise_exact'])
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/tests/test_timing_queue.py b/models/male-cns-lif/apl-timing-lab-v1/tests/test_timing_queue.py
new file mode 100644
index 0000000..4833dec
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/tests/test_timing_queue.py
@@ -0,0 +1,129 @@
+"""Synthetic CPU-only checks; no Torch, data bundle, or scientific trial."""
+from pathlib import Path
+import sys
+import unittest
+
+import numpy as np
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+from timing_queue import TimingQueue, audit_sequence
+
+
+class TimingQueueTests(unittest.TestCase):
+    def sequence(self, delay, steps, width=3):
+        generated = np.arange(1, steps * width + 1, dtype=np.float32).reshape(steps, width)
+        queue = TimingQueue(delay, width)
+        applied = np.empty_like(generated)
+        for tick, row in enumerate(generated):
+            applied[tick] = queue.push(row, tick=tick)
+        return queue, generated, applied, queue.pending()
+
+    def test_delay_zero_identity(self):
+        queue, generated, applied, pending = self.sequence(0, 40)
+        self.assertTrue(np.array_equal(generated.view(np.uint32), applied.view(np.uint32)))
+        self.assertEqual(pending.shape, (0, 3))
+        self.assertTrue(audit_sequence(generated, applied, pending, 0)["pass_all"])
+        self.assertEqual(queue.metadata()["pending_generated_count"], 0)
+
+    def test_delay_18_boundary(self):
+        _, generated, applied, pending = self.sequence(18, 39)
+        self.assertTrue(np.all(applied[:18].view(np.uint32) == 0))
+        np.testing.assert_array_equal(applied[18], generated[0])
+        np.testing.assert_array_equal(applied[36], generated[18])
+        np.testing.assert_array_equal(pending, generated[-18:])
+        audit_sequence(generated, applied, pending, 18)
+
+    def test_short_sequence_keeps_initial_pending_slots(self):
+        for steps in (0, 1, 7, 17, 18, 19):
+            with self.subTest(steps=steps):
+                queue, generated, applied, pending = self.sequence(18, steps)
+                meta = audit_sequence(generated, applied, pending, 18)
+                self.assertEqual(pending.shape, (18, 3))
+                self.assertEqual(meta["pending_initial_zero_prefix"], max(18 - steps, 0))
+                self.assertEqual(meta["pending_generated_count"], min(18, steps))
+                self.assertEqual(queue.steps, steps)
+                self.assertTrue(np.all(pending[:max(18 - steps, 0)].view(np.uint32) == 0))
+
+    def test_no_alias_to_input_or_return_or_pending(self):
+        queue = TimingQueue(18, 1)
+        row = np.array([3], dtype=np.float32)
+        first = queue.push(row)
+        row[0] = 9
+        first[0] = 8
+        pending = queue.pending()
+        pending[:] = 12
+        for _ in range(17):
+            queue.push(np.zeros(1, dtype=np.float32))
+        self.assertEqual(queue.push(np.zeros(1, dtype=np.float32))[0], 3)
+
+    def test_zero_delay_return_owned(self):
+        row = np.array([2], dtype=np.float32)
+        value = TimingQueue(0, 1).push(row)
+        value[0] = 99
+        self.assertEqual(row[0], 2)
+
+    def test_signed_zero_subnormal_and_extreme_bits(self):
+        row = np.array([0x80000000, 1, 0x7f7fffff], dtype=np.uint32).view(np.float32)
+        for delay in (0, 18):
+            queue = TimingQueue(delay, 3)
+            generated = np.stack([row.copy() for _ in range(23)])
+            applied = np.stack([queue.push(x) for x in generated])
+            audit_sequence(generated, applied, queue.pending(), delay)
+
+    def test_reject_invalid_configuration(self):
+        for delay in (True, 1, -18, 18.0, np.int32(18)):
+            with self.assertRaises(ValueError):
+                TimingQueue(delay)
+        for width in (0, -1, True, 2.0):
+            with self.assertRaises(ValueError):
+                TimingQueue(18, width)
+
+    def test_reject_invalid_sample_without_advance(self):
+        queue = TimingQueue(18, 2)
+        bad = [np.ones(2, dtype=np.float64), np.ones((1, 2), dtype=np.float32),
+               np.ones(3, dtype=np.float32), [1, 2],
+               np.array([np.nan, 1], dtype=np.float32), np.array([np.inf, 1], dtype=np.float32),
+               np.array([-1, 1], dtype=np.float32)]
+        for row in bad:
+            with self.assertRaises(ValueError):
+                queue.push(row)
+            self.assertEqual(queue.steps, 0)
+
+    def test_tick_must_be_consecutive(self):
+        queue = TimingQueue(0, 1)
+        row = np.zeros(1, dtype=np.float32)
+        for tick in (1, True, -1, .0):
+            with self.assertRaises(ValueError):
+                queue.push(row, tick=tick)
+        queue.push(row, tick=0)
+        with self.assertRaises(ValueError):
+            queue.push(row, tick=0)
+        self.assertEqual(queue.steps, 1)
+
+    def test_audit_detects_shift_or_initial_negative_zero(self):
+        _, generated, applied, pending = self.sequence(18, 40)
+        applied[18, 0] += 1
+        with self.assertRaises(ValueError):
+            audit_sequence(generated, applied, pending, 18)
+        _, generated, applied, pending = self.sequence(18, 40)
+        applied.view(np.uint32)[0, 0] = 0x80000000
+        with self.assertRaises(ValueError):
+            audit_sequence(generated, applied, pending, 18)
+
+    def test_audit_rejects_invalid_schema(self):
+        _, generated, applied, pending = self.sequence(18, 2)
+        for g, a, p in ((generated.astype(np.float64), applied, pending),
+                        (generated, applied[:1], pending), (generated, applied, pending[:2])):
+            with self.assertRaises(ValueError):
+                audit_sequence(g, a, p, 18)
+
+    def test_finite_sequence_sum_preserved_without_brain_tail(self):
+        queue, generated, applied, pending = self.sequence(18, 53)
+        np.testing.assert_array_equal(applied.sum(axis=0, dtype=np.float64) + pending.sum(axis=0, dtype=np.float64),
+                                      generated.sum(axis=0, dtype=np.float64))
+        self.assertEqual(queue.steps, 53)
+        self.assertFalse(queue.metadata()["brain_tail_advanced"])
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/models/male-cns-lif/apl-timing-lab-v1/timing_queue.py b/models/male-cns-lif/apl-timing-lab-v1/timing_queue.py
new file mode 100644
index 0000000..7b8bcfb
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/timing_queue.py
@@ -0,0 +1,87 @@
+"""Pure NumPy reference for the fixed 0/18-step generated-APL output delay.
+
+No brain dynamics, gain, float arithmetic or implicit tail advancement occurs
+here. Pending rows are the next D application slots, including initial +0
+padding if fewer than D samples have been generated.
+"""
+import numpy as np
+
+
+class TimingQueue:
+    def __init__(self, delay_steps, width=4064):
+        if type(delay_steps) is not int or delay_steps not in (0, 18):
+            raise ValueError("delay_steps must be integer 0 or 18")
+        if type(width) is not int or width <= 0:
+            raise ValueError("width must be a positive integer")
+        self.delay_steps = delay_steps
+        self.width = width
+        self.steps = 0
+        self._ring = np.zeros((delay_steps, width), dtype=np.float32)
+
+    def push(self, generated, tick=None):
+        """Return an owned f32 application row, without changing its bits."""
+        if tick is not None and (type(tick) is not int or tick != self.steps):
+            raise ValueError("tick must be the next consecutive integer tick")
+        if not isinstance(generated, np.ndarray) or generated.dtype != np.float32:
+            raise ValueError("generated must be a float32 ndarray")
+        if generated.shape != (self.width,) or not np.isfinite(generated).all():
+            raise ValueError("generated shape or finiteness invalid")
+        if np.any(generated < 0):
+            raise ValueError("generated inhibition must be nonnegative")
+        if self.delay_steps == 0:
+            applied = generated.copy()
+        else:
+            slot = self.steps % self.delay_steps
+            applied = self._ring[slot].copy()
+            self._ring[slot] = generated
+        self.steps += 1
+        return applied
+
+    def pending(self):
+        """Owned rows in next-application order; always shape (D, width)."""
+        if self.delay_steps == 0:
+            return self._ring.copy()
+        head = self.steps % self.delay_steps
+        return np.concatenate((self._ring[head:], self._ring[:head]), axis=0)
+
+    def metadata(self):
+        return {"apl_delay_steps": self.delay_steps, "steps": self.steps,
+                "pending_generated_count": min(self.steps, self.delay_steps),
+                "pending_initial_zero_prefix": max(self.delay_steps - self.steps, 0),
+                "pending_application_tick_start": self.steps,
+                "pending_application_tick_stop_exclusive": self.steps + self.delay_steps,
+                "brain_tail_advanced": False}
+
+
+def audit_sequence(generated, applied, pending, delay_steps):
+    """Bitwise finite-sequence accounting; not a closed-loop integral claim.
+
+Checks concat(applied, pending) == concat(D initial +0 rows, generated).
+This preserves signed zeros and every stored sample, without assuming the
+generated sequences of two different closed-loop branches are identical.
+"""
+    if type(delay_steps) is not int or delay_steps not in (0, 18):
+        raise ValueError("delay_steps must be integer 0 or 18")
+    for name, value in (("generated", generated), ("applied", applied), ("pending", pending)):
+        if not isinstance(value, np.ndarray) or value.dtype != np.float32 or value.ndim != 2:
+            raise ValueError(name + " must be a rank-2 float32 ndarray")
+        if not np.isfinite(value).all() or np.any(value < 0):
+            raise ValueError(name + " must be finite nonnegative inhibition")
+    if generated.shape != applied.shape or pending.shape != (delay_steps, generated.shape[1]):
+        raise ValueError("Sequence shapes disagree")
+    steps = len(generated)
+    # Rowwise comparison avoids allocating a second T-by-K trace.
+    for tick in range(steps + delay_steps):
+        actual = applied[tick] if tick < steps else pending[tick - steps]
+        actual_bits = actual.view(np.uint32)
+        if tick < delay_steps:
+            ok = np.all(actual_bits == 0)
+        else:
+            ok = np.array_equal(actual_bits, generated[tick - delay_steps].view(np.uint32))
+        if not ok:
+            raise ValueError("Fixed-delay bitwise accounting failed at application tick " + str(tick))
+    return {"pass_all": True, "apl_delay_steps": delay_steps, "steps": steps,
+            "pending_generated_count": min(steps, delay_steps),
+            "pending_initial_zero_prefix": max(delay_steps - steps, 0),
+            "initial_padding_positive_zero": True, "sample_bits_preserved": True,
+            "brain_tail_advanced": False}
diff --git a/models/male-cns-lif/apl-timing-lab-v1/verify_frozen.py b/models/male-cns-lif/apl-timing-lab-v1/verify_frozen.py
new file mode 100644
index 0000000..cf00ee5
--- /dev/null
+++ b/models/male-cns-lif/apl-timing-lab-v1/verify_frozen.py
@@ -0,0 +1,55 @@
+"""Run unchanged frozen reference into new output; never rewrite old evidence."""
+import os
+import sys
+import time
+import numpy as np
+import pandas as pd
+import yaml
+from context import ROOT, EXP, CFG, save, check, bit_equal
+
+
+def main():
+    check()
+    assert not (EXP / 'regression/frozen-five.json').exists()
+    rtpath = ROOT / 'models/male-cns-lif/deterministic-runtime-v2'
+    pc = yaml.safe_load((rtpath / 'phase4p.yaml').read_text())
+    os.environ['CUDA_VISIBLE_DEVICES'] = CFG['gpu_uuid']
+    os.environ['CUDA_HOME'] = '/usr/local/cuda'
+    os.environ['PATH'] = str(ROOT / 'models/male-cns-lif/.venv/bin') + ':/usr/local/cuda/bin:' + os.environ['PATH']
+    os.environ['MAX_JOBS'] = '2'
+    os.environ['TORCH_CUDA_ARCH_LIST'] = '8.9'
+    sys.path.insert(0, str(ROOT / 'models/male-cns-lif/terminal-scope-diagnostic-v1'))
+    from diagnostic import queues
+    queues()
+    sys.path.insert(0, str(ROOT / 'models/male-cns-lif'))
+    sys.path.insert(0, str(rtpath))
+    import torch
+    import phase4p
+    assert torch.cuda.mem_get_info()[0] > 2 * 1024**3
+    torch.cuda.reset_peak_memory_stats()
+    started = time.perf_counter()
+    runtime = phase4p.CanonicalRuntime(pc, rtpath, EXP)
+    rows = []
+    for spec in pc['reference_trials']:
+        queues()
+        base = ROOT / 'experiments/phase4p-deterministic-runtime/phase4c-v2/reference' / spec['name']
+        events = pd.read_parquet(base / 'spike-events.parquet')
+        reference = dict(step=events.step.to_numpy(), neuron_idx=events.neuron_idx.to_numpy(),
+            counts=np.load(base / 'per-neuron-spike-counts.int32.npy'),
+            v=np.load(base / 'final-voltage.float32.npy'), g=np.load(base / 'final-g.float32.npy'))
+        result = runtime.run(np.flatnonzero(runtime.pops[spec['population']]), spec['rate_hz'], spec['seed'], spec['duration_ms'])
+        row = dict(trial=spec['name'], exact={key: bool(bit_equal(value, result[key])) for key, value in reference.items()},
+                   dtype_shape={key: dict(reference_dtype=str(value.dtype), actual_dtype=str(result[key].dtype),
+                       reference_shape=list(value.shape), actual_shape=list(result[key].shape)) for key, value in reference.items()},
+                   wall_seconds=result['metrics']['wall_seconds'])
+        rows.append(row)
+        print(row, flush=True)
+    passed = all(all(row['exact'].values()) for row in rows)
+    save(EXP / 'regression/frozen-five.json', dict(pass_all=passed, trials=rows,
+        wall_seconds=time.perf_counter() - started, peak_allocated_vram=int(torch.cuda.max_memory_allocated()),
+        oracle='Old frozen deterministic-v2 only; not this independent dynamics branch'))
+    assert passed
+
+
+if __name__ == '__main__':
+    main()
diff --git a/registry/phase4aj-apl-timing/evidence-index.json b/registry/phase4aj-apl-timing/evidence-index.json
new file mode 100644
index 0000000..055d792
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence-index.json
@@ -0,0 +1,11744 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/REPORT.md b/registry/phase4aj-apl-timing/evidence/REPORT.md
new file mode 100644
index 0000000..16d7f69
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/REPORT.md
@@ -0,0 +1,17 @@
+# Phase 4AJ — fixed graded-APL timing branch
+
+Status: `PASS-FIXED-CAL-APL-TIMING-HYPOTHESIS`.
+
+Numerical gate: True. Complete both CAL arms: True.
+Original representation gate: delay0=False; delay18=True.
+Only generated h application time changes: zero versus 18 steps. No brain gain, input, learning or mask change.
+This is an engineering scheduling hypothesis, not measured MaleCNS APL delay. It delays PN- and KC-derived h together.
+Finite stored generated samples are preserved in applied output or pending tail; the brain is not advanced to flush the tail.
+Closed-loop generated h and accepted requests can differ between arms; equal total inhibition is not assumed.
+Independent Brian LIF and candidate share legacy Torch APL arithmetic; component and separate delay-queue audits qualify this limit.
+Original fast APL mask still leaves 1,212 non-KC edges unreplaced. No silent scope change.
+The origin audit identifies timed real-edge antecedents, not unique or necessary biological causes.
+Frozen checksums and five reference trials: True.
+Costs include diagnostic synchronization, IPC, hashes and tracing; these are not production runtime benchmarks.
+No heldout trajectories, conditioning, learned model, reward interface, game, decoder or candidate.
+Next gate: Independent seeds and novel-odor representation; then credit specificity and functional learning
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51101-r0.json
new file mode 100644
index 0000000..e51e2dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-00-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51101-r1.json
new file mode 100644
index 0000000..e51e2dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-00-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
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+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51102-r0.json
new file mode 100644
index 0000000..739225d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-00-s51102",
+  "checks": {
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+    "state/neuron_idx": true,
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+    "apl-drive.float32.npy": true,
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+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51103-r0.json
new file mode 100644
index 0000000..df573f6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51103-r0.json
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+{
+  "pass_all": true,
+  "case": "cal-matched_energy-00-s51103",
+  "checks": {
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+    "state/neuron_idx": true,
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+    "apl-drive.float32.npy": true,
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+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51104-r0.json
new file mode 100644
index 0000000..08bf189
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51104-r0.json
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+{
+  "pass_all": true,
+  "case": "cal-matched_energy-00-s51104",
+  "checks": {
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+    "state/neuron_idx": true,
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+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51105-r0.json
new file mode 100644
index 0000000..222a08d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-00-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-00-s51105",
+  "checks": {
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+    "state/neuron_idx": true,
+    "state/counts": true,
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+    "apl-drive.float32.npy": true,
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+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51101-r0.json
new file mode 100644
index 0000000..97211df
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51101-r0.json
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+{
+  "pass_all": true,
+  "case": "cal-matched_energy-01-s51101",
+  "checks": {
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+    "state/neuron_idx": true,
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+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51101-r1.json
new file mode 100644
index 0000000..97211df
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51101-r1.json
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+{
+  "pass_all": true,
+  "case": "cal-matched_energy-01-s51101",
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+    "summary/precision": true,
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+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51102-r0.json
new file mode 100644
index 0000000..97be5f4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51102-r0.json
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+{
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+}
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index 0000000..588889e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-01-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51104-r0.json
new file mode 100644
index 0000000..f23e210
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-01-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51105-r0.json
new file mode 100644
index 0000000..d821eec
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-01-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-01-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51101-r0.json
new file mode 100644
index 0000000..df426f2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-02-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51101-r1.json
new file mode 100644
index 0000000..df426f2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-02-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51102-r0.json
new file mode 100644
index 0000000..27bcbdd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-02-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51103-r0.json
new file mode 100644
index 0000000..4920827
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-02-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51104-r0.json
new file mode 100644
index 0000000..c5e525e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-02-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51105-r0.json
new file mode 100644
index 0000000..402ec7c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-02-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-02-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51101-r0.json
new file mode 100644
index 0000000..3daee76
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-03-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51101-r1.json
new file mode 100644
index 0000000..3daee76
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-03-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51102-r0.json
new file mode 100644
index 0000000..a29fd89
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-03-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51103-r0.json
new file mode 100644
index 0000000..ee736ca
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-03-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51104-r0.json
new file mode 100644
index 0000000..1d2426f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-03-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51105-r0.json
new file mode 100644
index 0000000..6a6c540
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-03-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-03-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51101-r0.json
new file mode 100644
index 0000000..ce3d47c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-04-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51101-r1.json
new file mode 100644
index 0000000..ce3d47c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-04-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51102-r0.json
new file mode 100644
index 0000000..525f307
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-04-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51103-r0.json
new file mode 100644
index 0000000..2b732fc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-04-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51104-r0.json
new file mode 100644
index 0000000..ddb3e4f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-04-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51105-r0.json
new file mode 100644
index 0000000..df46efc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-04-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-04-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51101-r0.json
new file mode 100644
index 0000000..d8ac8ea
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-05-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51101-r1.json
new file mode 100644
index 0000000..d8ac8ea
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-05-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51102-r0.json
new file mode 100644
index 0000000..3faa343
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-05-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51103-r0.json
new file mode 100644
index 0000000..7714f04
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-05-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51104-r0.json
new file mode 100644
index 0000000..dec4f7c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-05-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51105-r0.json
new file mode 100644
index 0000000..0f7261e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-matched_energy-05-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-05-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51101-r0.json
new file mode 100644
index 0000000..20a8e23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-00-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51101-r1.json
new file mode 100644
index 0000000..20a8e23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-00-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51102-r0.json
new file mode 100644
index 0000000..91860c5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-00-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51103-r0.json
new file mode 100644
index 0000000..c9bfb55
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-00-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51104-r0.json
new file mode 100644
index 0000000..62e3779
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-00-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51105-r0.json
new file mode 100644
index 0000000..8097551
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-00-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-00-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51101-r0.json
new file mode 100644
index 0000000..103abc9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-01-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51101-r1.json
new file mode 100644
index 0000000..103abc9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-01-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51102-r0.json
new file mode 100644
index 0000000..ec003d0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-01-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51103-r0.json
new file mode 100644
index 0000000..1e7bfd7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-01-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51104-r0.json
new file mode 100644
index 0000000..76dbfce
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-01-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51105-r0.json
new file mode 100644
index 0000000..be84596
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-01-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-01-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51101-r0.json
new file mode 100644
index 0000000..13464d2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-02-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51101-r1.json
new file mode 100644
index 0000000..13464d2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-02-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51102-r0.json
new file mode 100644
index 0000000..98a9ca2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-02-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51103-r0.json
new file mode 100644
index 0000000..195d08d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-02-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51104-r0.json
new file mode 100644
index 0000000..f7f23e7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-02-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51105-r0.json
new file mode 100644
index 0000000..77798ad
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-02-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-02-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51101-r0.json
new file mode 100644
index 0000000..2929acb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-03-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51101-r1.json
new file mode 100644
index 0000000..2929acb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-03-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51102-r0.json
new file mode 100644
index 0000000..f4c492d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-03-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51103-r0.json
new file mode 100644
index 0000000..fa4fa49
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-03-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51104-r0.json
new file mode 100644
index 0000000..0ea41a2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-03-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51105-r0.json
new file mode 100644
index 0000000..8573095
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-03-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-03-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51101-r0.json
new file mode 100644
index 0000000..83bc53d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-04-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51101-r1.json
new file mode 100644
index 0000000..83bc53d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-04-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51102-r0.json
new file mode 100644
index 0000000..6c01a95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-04-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51103-r0.json
new file mode 100644
index 0000000..9e8e318
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-04-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51104-r0.json
new file mode 100644
index 0000000..6464a5f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-04-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51105-r0.json
new file mode 100644
index 0000000..6e5e3bc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-04-s51105-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-04-s51105",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51101-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51101-r0.json
new file mode 100644
index 0000000..90f33c7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51101-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-05-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51101-r1.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51101-r1.json
new file mode 100644
index 0000000..90f33c7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51101-r1.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-05-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51102-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51102-r0.json
new file mode 100644
index 0000000..afd3d8a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51102-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-05-s51102",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51103-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51103-r0.json
new file mode 100644
index 0000000..7dd2677
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51103-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-05-s51103",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51104-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51104-r0.json
new file mode 100644
index 0000000..e1e1025
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51104-r0.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-05-s51104",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51105-r0.json b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51105-r0.json
new file mode 100644
index 0000000..a6695a6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-control-cal-physiological-05-s51105-r0.json
@@ -0,0 +1,27 @@
+{
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+  "case": "cal-physiological-05-s51105",
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+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-00-s51101.json
new file mode 100644
index 0000000..d3c4ed7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-00-s51101.json
@@ -0,0 +1,201 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-01-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-01-s51101.json
new file mode 100644
index 0000000..cd37a03
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-01-s51101.json
@@ -0,0 +1,201 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-02-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-02-s51101.json
new file mode 100644
index 0000000..7e12630
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-02-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-03-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-03-s51101.json
new file mode 100644
index 0000000..a5c25d1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-03-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-04-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-04-s51101.json
new file mode 100644
index 0000000..aed4f7d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-04-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-05-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-05-s51101.json
new file mode 100644
index 0000000..8ed397e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-matched_energy-05-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-00-s51101.json
new file mode 100644
index 0000000..f6e221f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-00-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-01-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-01-s51101.json
new file mode 100644
index 0000000..3b11f11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-01-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-02-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-02-s51101.json
new file mode 100644
index 0000000..b9fdaf4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-02-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-03-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-03-s51101.json
new file mode 100644
index 0000000..528869c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-03-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-04-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-04-s51101.json
new file mode 100644
index 0000000..acf0747
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-04-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-05-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-05-s51101.json
new file mode 100644
index 0000000..75dc994
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay0-cal-physiological-05-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-00-s51101.json
new file mode 100644
index 0000000..4ebb9c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-00-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-01-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-01-s51101.json
new file mode 100644
index 0000000..3c57099
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-01-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-02-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-02-s51101.json
new file mode 100644
index 0000000..cd740e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-02-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-03-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-03-s51101.json
new file mode 100644
index 0000000..eb71f53
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-03-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-04-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-04-s51101.json
new file mode 100644
index 0000000..f068c38
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-04-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-05-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-05-s51101.json
new file mode 100644
index 0000000..baef388
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-matched_energy-05-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-00-s51101.json
new file mode 100644
index 0000000..a2e22c4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-00-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-01-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-01-s51101.json
new file mode 100644
index 0000000..4c767e7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-01-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-02-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-02-s51101.json
new file mode 100644
index 0000000..d006985
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-02-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-03-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-03-s51101.json
new file mode 100644
index 0000000..82fc377
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-03-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-04-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-04-s51101.json
new file mode 100644
index 0000000..f215b86
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-04-s51101.json
@@ -0,0 +1,201 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-05-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-05-s51101.json
new file mode 100644
index 0000000..92a0e5e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/cal-repeat-delay18-cal-physiological-05-s51101.json
@@ -0,0 +1,201 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/calibration-gate.json b/registry/phase4aj-apl-timing/evidence/audit/calibration-gate.json
new file mode 100644
index 0000000..c00b2ae
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/calibration-gate.json
@@ -0,0 +1,6 @@
+{
+  "pass_all": true,
+  "representation_pass_all": false,
+  "scope": "Complete both fixed CAL arms; not heldout or learning",
+  "summary": "calibration/summary.json"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-apl_only.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-apl_only.json
new file mode 100644
index 0000000..987e85b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-apl_only.json
@@ -0,0 +1,315 @@
+{
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+  "case": "apl_only",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/apl_only",
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+  },
+  "failed_checks": [],
+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/apl_only-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 44,
+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 2,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 100,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 2
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-arrival_collision.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-arrival_collision.json
new file mode 100644
index 0000000..bfbc41c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-arrival_collision.json
@@ -0,0 +1,315 @@
+{
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+  "accepted_requests": 3,
+  "active_neurons": 3,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 13,
+  "biological_delay_measurement_claimed": false,
+  "case": "arrival_collision",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/arrival_collision",
+  "checks": {
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+    "apl.applied.finite": true,
+    "apl.applied.schema": true,
+    "apl.drive.bitwise_exact": true,
+    "apl.drive.finite": true,
+    "apl.drive.schema": true,
+    "apl.inhibition.bitwise_exact": true,
+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
+    "gpu.apl_keeps_ref.finite": true,
+    "gpu.apl_keeps_ref.schema": true,
+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.apl_unconditional_g_write.bitwise_exact": true,
+    "gpu.apl_unconditional_g_write.finite": true,
+    "gpu.apl_unconditional_g_write.schema": true,
+    "gpu.case_name": true,
+    "gpu.component_dimensions_clock": true,
+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
+    "gpu.fixed_delay_applied.finite": true,
+    "gpu.fixed_delay_applied.schema": true,
+    "gpu.fixed_delay_pending.bitwise_exact": true,
+    "gpu.fixed_delay_pending.finite": true,
+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
+    "gpu.history_final_g": true,
+    "gpu.history_final_ref": true,
+    "gpu.history_final_v": true,
+    "gpu.history_hashes_g": true,
+    "gpu.history_hashes_ref": true,
+    "gpu.history_hashes_v": true,
+    "gpu.history_mode": true,
+    "gpu.input_hashes": true,
+    "gpu.kc_target_count": true,
+    "gpu.last_hash_g": true,
+    "gpu.last_hash_ref": true,
+    "gpu.last_hash_v": true,
+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
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+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
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+  "signed_zero_included": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-cal-matched_energy-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-cal-matched_energy-00-s51101.json
new file mode 100644
index 0000000..2dda4b5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-cal-matched_energy-00-s51101.json
@@ -0,0 +1,256 @@
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+    "apl.pending.schema": true,
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+    "apl.state.finite": true,
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+    "component.parsed_exact": true,
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+    "cpu.fixed_delay_pending.schema": true,
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+    "cpu.history_mode": true,
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+    "cpu.no_dense_g": true,
+    "cpu.no_dense_ref": true,
+    "cpu.no_dense_v": true,
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+    "cpu.no_extra_brain_or_apl_ticks": true,
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+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
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+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
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+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.case_name": true,
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+    "gpu.count_nonnegative_total": true,
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+  "kind": "shared-APL-component closed-loop byte-exact comparison",
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+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
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+  "signed_zero_included": true,
+  "steps": 1000,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 29518
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-cal-physiological-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-cal-physiological-00-s51101.json
new file mode 100644
index 0000000..bd1290f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-cal-physiological-00-s51101.json
@@ -0,0 +1,256 @@
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+  "case": "cal-physiological-00-s51101",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/cal-physiological-00-s51101",
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+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
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+    "cpu.graph_hashes": true,
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+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
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+    "gpu.apl_positive_state": true,
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+  },
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+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/cal-physiological-00-s51101-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 166700,
+  "pass_all": true,
+  "record_history": false,
+  "rejected_requests": 28,
+  "requested": 121,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 1000,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 29938
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-high_fanin.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-high_fanin.json
new file mode 100644
index 0000000..c9b5375
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-high_fanin.json
@@ -0,0 +1,315 @@
+{
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+  "accepted_requests": 114,
+  "active_neurons": 44,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 1069,
+  "biological_delay_measurement_claimed": false,
+  "case": "high_fanin",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/high_fanin",
+  "checks": {
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+    "apl.applied.finite": true,
+    "apl.applied.schema": true,
+    "apl.drive.bitwise_exact": true,
+    "apl.drive.finite": true,
+    "apl.drive.schema": true,
+    "apl.inhibition.bitwise_exact": true,
+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
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+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.apl_unconditional_g_write.bitwise_exact": true,
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+    "gpu.apl_unconditional_g_write.schema": true,
+    "gpu.case_name": true,
+    "gpu.component_dimensions_clock": true,
+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
+    "gpu.fixed_delay_applied.finite": true,
+    "gpu.fixed_delay_applied.schema": true,
+    "gpu.fixed_delay_pending.bitwise_exact": true,
+    "gpu.fixed_delay_pending.finite": true,
+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
+    "gpu.history_final_g": true,
+    "gpu.history_final_ref": true,
+    "gpu.history_final_v": true,
+    "gpu.history_hashes_g": true,
+    "gpu.history_hashes_ref": true,
+    "gpu.history_hashes_v": true,
+    "gpu.history_mode": true,
+    "gpu.input_hashes": true,
+    "gpu.kc_target_count": true,
+    "gpu.last_hash_g": true,
+    "gpu.last_hash_ref": true,
+    "gpu.last_hash_v": true,
+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
+    "gpu.small_queue_independent_reconstruction": true,
+    "gpu.spike_g_reset_before_apl": true,
+    "gpu.summary_complete": true,
+    "gpu.timing_finite_nonnegative": true,
+    "gpu.timing_integer_metadata": true,
+    "gpu.timing_summary_metadata": true,
+    "hashes.parsed_exact": true,
+    "histories.g.bitwise_exact": true,
+    "histories.g.finite": true,
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+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/high_fanin-r0",
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+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
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+  "pass_all": true,
+  "record_history": true,
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+  "requested": 114,
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+  "signed_zero_included": true,
+  "steps": 400,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 157
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-kc_ref_boundary.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-kc_ref_boundary.json
new file mode 100644
index 0000000..0d1f1c1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-kc_ref_boundary.json
@@ -0,0 +1,315 @@
+{
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+  "arriving_edges": 35,
+  "biological_delay_measurement_claimed": false,
+  "case": "kc_ref_boundary",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/kc_ref_boundary",
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+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
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+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
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+    "gpu.apl_keeps_ref.finite": true,
+    "gpu.apl_keeps_ref.schema": true,
+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
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+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
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+  },
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+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/kc_ref_boundary-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
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+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 3,
+  "requested": 6,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 100,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 4
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-natural_request.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-natural_request.json
new file mode 100644
index 0000000..72039e6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-natural_request.json
@@ -0,0 +1,315 @@
+{
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+  "accepted_requests": 1,
+  "active_neurons": 2,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 27,
+  "biological_delay_measurement_claimed": false,
+  "case": "natural_request",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/natural_request",
+  "checks": {
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+    "apl.drive.bitwise_exact": true,
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+    "apl.drive.schema": true,
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+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
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+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/natural_request-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
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+  "signed_zero_included": true,
+  "steps": 100,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 2
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-pn_pulse.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-pn_pulse.json
new file mode 100644
index 0000000..61733c2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-pn_pulse.json
@@ -0,0 +1,315 @@
+{
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+  "case": "pn_pulse",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/pn_pulse",
+  "checks": {
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+    "/data/digital-drosophila/experiments/phase4aj-apl-timing/oracle/delay0/pn_pulse/weights.npy": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+  },
+  "failed_checks": [],
+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/pn_pulse-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 44,
+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 1,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 300,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 1
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-two_sources.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-two_sources.json
new file mode 100644
index 0000000..a899d19
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-two_sources.json
@@ -0,0 +1,315 @@
+{
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+  "accepted_requests": 10,
+  "active_neurons": 4,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 118,
+  "biological_delay_measurement_claimed": false,
+  "case": "two_sources",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/two_sources",
+  "checks": {
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+    "apl.applied.finite": true,
+    "apl.applied.schema": true,
+    "apl.drive.bitwise_exact": true,
+    "apl.drive.finite": true,
+    "apl.drive.schema": true,
+    "apl.inhibition.bitwise_exact": true,
+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
+    "gpu.apl_keeps_ref.finite": true,
+    "gpu.apl_keeps_ref.schema": true,
+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.apl_unconditional_g_write.bitwise_exact": true,
+    "gpu.apl_unconditional_g_write.finite": true,
+    "gpu.apl_unconditional_g_write.schema": true,
+    "gpu.case_name": true,
+    "gpu.component_dimensions_clock": true,
+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
+    "gpu.fixed_delay_applied.finite": true,
+    "gpu.fixed_delay_applied.schema": true,
+    "gpu.fixed_delay_pending.bitwise_exact": true,
+    "gpu.fixed_delay_pending.finite": true,
+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
+    "gpu.history_final_g": true,
+    "gpu.history_final_ref": true,
+    "gpu.history_final_v": true,
+    "gpu.history_hashes_g": true,
+    "gpu.history_hashes_ref": true,
+    "gpu.history_hashes_v": true,
+    "gpu.history_mode": true,
+    "gpu.input_hashes": true,
+    "gpu.kc_target_count": true,
+    "gpu.last_hash_g": true,
+    "gpu.last_hash_ref": true,
+    "gpu.last_hash_v": true,
+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
+    "gpu.small_queue_independent_reconstruction": true,
+    "gpu.spike_g_reset_before_apl": true,
+    "gpu.summary_complete": true,
+    "gpu.timing_finite_nonnegative": true,
+    "gpu.timing_integer_metadata": true,
+    "gpu.timing_summary_metadata": true,
+    "hashes.parsed_exact": true,
+    "histories.g.bitwise_exact": true,
+    "histories.g.finite": true,
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+    "histories.ref.bitwise_exact": true,
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+    "histories.v.bitwise_exact": true,
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+    "pre.g.bitwise_exact": true,
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+    "pre.g.schema": true,
+    "pre.ref.bitwise_exact": true,
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+    "queues.parsed_exact": true,
+    "requests.parsed_exact": true,
+    "state.counts.bitwise_exact": true,
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+    "state.g.bitwise_exact": true,
+    "state.g.finite": true,
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+    "state.neuron_idx.bitwise_exact": true,
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+    "state.v.schema": true
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+    "device_capability": [
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+  },
+  "failed_checks": [],
+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/two_sources-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 44,
+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 10,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 300,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 13
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-zero.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-zero.json
new file mode 100644
index 0000000..3d759bb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay0-zero.json
@@ -0,0 +1,315 @@
+{
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+  "arriving_edges": 0,
+  "biological_delay_measurement_claimed": false,
+  "case": "zero",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay0/zero",
+  "checks": {
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+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
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+    "gpu.apl_keeps_voltage.finite": true,
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+    "gpu.apl_positive_applied": true,
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+    "gpu.component_summary_consistent": true,
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+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
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+    "gpu.last_hash_ref": true,
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+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
+    "gpu.small_queue_independent_reconstruction": true,
+    "gpu.spike_g_reset_before_apl": true,
+    "gpu.summary_complete": true,
+    "gpu.timing_finite_nonnegative": true,
+    "gpu.timing_integer_metadata": true,
+    "gpu.timing_summary_metadata": true,
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+  },
+  "failed_checks": [],
+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/zero-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 44,
+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 0,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 100,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-apl_only.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-apl_only.json
new file mode 100644
index 0000000..3d348ed
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-apl_only.json
@@ -0,0 +1,315 @@
+{
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+  "accepted_requests": 2,
+  "active_neurons": 2,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 50,
+  "biological_delay_measurement_claimed": false,
+  "case": "apl_only",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay18/apl_only",
+  "checks": {
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+    "apl.applied.finite": true,
+    "apl.applied.schema": true,
+    "apl.drive.bitwise_exact": true,
+    "apl.drive.finite": true,
+    "apl.drive.schema": true,
+    "apl.inhibition.bitwise_exact": true,
+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
+    "gpu.apl_keeps_ref.finite": true,
+    "gpu.apl_keeps_ref.schema": true,
+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.apl_unconditional_g_write.bitwise_exact": true,
+    "gpu.apl_unconditional_g_write.finite": true,
+    "gpu.apl_unconditional_g_write.schema": true,
+    "gpu.case_name": true,
+    "gpu.component_dimensions_clock": true,
+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
+    "gpu.fixed_delay_applied.finite": true,
+    "gpu.fixed_delay_applied.schema": true,
+    "gpu.fixed_delay_pending.bitwise_exact": true,
+    "gpu.fixed_delay_pending.finite": true,
+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
+    "gpu.history_final_g": true,
+    "gpu.history_final_ref": true,
+    "gpu.history_final_v": true,
+    "gpu.history_hashes_g": true,
+    "gpu.history_hashes_ref": true,
+    "gpu.history_hashes_v": true,
+    "gpu.history_mode": true,
+    "gpu.input_hashes": true,
+    "gpu.kc_target_count": true,
+    "gpu.last_hash_g": true,
+    "gpu.last_hash_ref": true,
+    "gpu.last_hash_v": true,
+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
+    "gpu.small_queue_independent_reconstruction": true,
+    "gpu.spike_g_reset_before_apl": true,
+    "gpu.summary_complete": true,
+    "gpu.timing_finite_nonnegative": true,
+    "gpu.timing_integer_metadata": true,
+    "gpu.timing_summary_metadata": true,
+    "hashes.parsed_exact": true,
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+  },
+  "failed_checks": [],
+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/apl_only-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 44,
+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 2,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 100,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 2
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-arrival_collision.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-arrival_collision.json
new file mode 100644
index 0000000..dd72bee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-arrival_collision.json
@@ -0,0 +1,315 @@
+{
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+  "accepted_requests": 3,
+  "active_neurons": 3,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 13,
+  "biological_delay_measurement_claimed": false,
+  "case": "arrival_collision",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay18/arrival_collision",
+  "checks": {
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+    "apl.applied.finite": true,
+    "apl.applied.schema": true,
+    "apl.drive.bitwise_exact": true,
+    "apl.drive.finite": true,
+    "apl.drive.schema": true,
+    "apl.inhibition.bitwise_exact": true,
+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
+    "gpu.apl_keeps_ref.finite": true,
+    "gpu.apl_keeps_ref.schema": true,
+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.apl_unconditional_g_write.bitwise_exact": true,
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+    "gpu.case_name": true,
+    "gpu.component_dimensions_clock": true,
+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
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+    "gpu.fixed_delay_pending.bitwise_exact": true,
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+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
+    "gpu.history_final_g": true,
+    "gpu.history_final_ref": true,
+    "gpu.history_final_v": true,
+    "gpu.history_hashes_g": true,
+    "gpu.history_hashes_ref": true,
+    "gpu.history_hashes_v": true,
+    "gpu.history_mode": true,
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+    "gpu.kc_target_count": true,
+    "gpu.last_hash_g": true,
+    "gpu.last_hash_ref": true,
+    "gpu.last_hash_v": true,
+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
+    "gpu.small_queue_independent_reconstruction": true,
+    "gpu.spike_g_reset_before_apl": true,
+    "gpu.summary_complete": true,
+    "gpu.timing_finite_nonnegative": true,
+    "gpu.timing_integer_metadata": true,
+    "gpu.timing_summary_metadata": true,
+    "hashes.parsed_exact": true,
+    "histories.g.bitwise_exact": true,
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+    "state.v.schema": true
+  },
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+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
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+    "deterministic_algorithms": false,
+    "device_capability": [
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+    "device_name": "NVIDIA GeForce RTX 4090",
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+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/arrival_collision-r0",
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+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
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+  "signed_zero_included": true,
+  "steps": 120,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 3
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-cal-matched_energy-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-cal-matched_energy-00-s51101.json
new file mode 100644
index 0000000..aa9dcf4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-cal-matched_energy-00-s51101.json
@@ -0,0 +1,256 @@
+{
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+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay18/cal-matched_energy-00-s51101",
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+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
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+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
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+    "cpu.apl_positive_applied": true,
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+    "cpu.apl_positive_inhibition": true,
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+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
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+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
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+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
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+    "cpu.no_dense_ref": true,
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+    "cpu.read_actual_case": true,
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+    "cpu.reported_events": true,
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+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.case_name": true,
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+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
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+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
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+  },
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+    "device_capability": [
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+    "device_name": "NVIDIA GeForce RTX 4090",
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+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/cal-matched_energy-00-s51101-r0",
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+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
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+  "signed_zero_included": true,
+  "steps": 1000,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 29368
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-cal-physiological-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-cal-physiological-00-s51101.json
new file mode 100644
index 0000000..16c35e9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-cal-physiological-00-s51101.json
@@ -0,0 +1,256 @@
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+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
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+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
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+    "cpu.apl_positive_drive": true,
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+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
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+    "gpu.apl_positive_applied": true,
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+  },
+  "failed_checks": [],
+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/cal-physiological-00-s51101-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 166700,
+  "pass_all": true,
+  "record_history": false,
+  "rejected_requests": 28,
+  "requested": 121,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 1000,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 29672
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-high_fanin.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-high_fanin.json
new file mode 100644
index 0000000..3664e9f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-high_fanin.json
@@ -0,0 +1,315 @@
+{
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+  "accepted_requests": 114,
+  "active_neurons": 44,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 1069,
+  "biological_delay_measurement_claimed": false,
+  "case": "high_fanin",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay18/high_fanin",
+  "checks": {
+    "apl.applied.bitwise_exact": true,
+    "apl.applied.finite": true,
+    "apl.applied.schema": true,
+    "apl.drive.bitwise_exact": true,
+    "apl.drive.finite": true,
+    "apl.drive.schema": true,
+    "apl.inhibition.bitwise_exact": true,
+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
+    "gpu.apl_keeps_ref.finite": true,
+    "gpu.apl_keeps_ref.schema": true,
+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.apl_unconditional_g_write.bitwise_exact": true,
+    "gpu.apl_unconditional_g_write.finite": true,
+    "gpu.apl_unconditional_g_write.schema": true,
+    "gpu.case_name": true,
+    "gpu.component_dimensions_clock": true,
+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
+    "gpu.fixed_delay_applied.finite": true,
+    "gpu.fixed_delay_applied.schema": true,
+    "gpu.fixed_delay_pending.bitwise_exact": true,
+    "gpu.fixed_delay_pending.finite": true,
+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
+    "gpu.history_final_g": true,
+    "gpu.history_final_ref": true,
+    "gpu.history_final_v": true,
+    "gpu.history_hashes_g": true,
+    "gpu.history_hashes_ref": true,
+    "gpu.history_hashes_v": true,
+    "gpu.history_mode": true,
+    "gpu.input_hashes": true,
+    "gpu.kc_target_count": true,
+    "gpu.last_hash_g": true,
+    "gpu.last_hash_ref": true,
+    "gpu.last_hash_v": true,
+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
+    "gpu.small_queue_independent_reconstruction": true,
+    "gpu.spike_g_reset_before_apl": true,
+    "gpu.summary_complete": true,
+    "gpu.timing_finite_nonnegative": true,
+    "gpu.timing_integer_metadata": true,
+    "gpu.timing_summary_metadata": true,
+    "hashes.parsed_exact": true,
+    "histories.g.bitwise_exact": true,
+    "histories.g.finite": true,
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+    "histories.ref.bitwise_exact": true,
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+    "queues.parsed_exact": true,
+    "requests.parsed_exact": true,
+    "state.counts.bitwise_exact": true,
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+    "state.g.bitwise_exact": true,
+    "state.g.finite": true,
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+    "state.neuron_idx.bitwise_exact": true,
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+    "state.v.schema": true
+  },
+  "component_environment": {
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "cudnn": 92400,
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+    "cudnn_deterministic": false,
+    "deterministic_algorithms": false,
+    "device_capability": [
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+    "device_index": 0,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "float32_matmul_precision": "highest",
+    "numpy": "2.2.6",
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+    "torch": "2.14.0+cu130"
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+  },
+  "failed_checks": [],
+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/high_fanin-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 44,
+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 114,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 400,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 157
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-kc_ref_boundary.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-kc_ref_boundary.json
new file mode 100644
index 0000000..6835914
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-kc_ref_boundary.json
@@ -0,0 +1,315 @@
+{
+  "accepted_arriving_edges": 32,
+  "accepted_requests": 3,
+  "active_neurons": 2,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 35,
+  "biological_delay_measurement_claimed": false,
+  "case": "kc_ref_boundary",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay18/kc_ref_boundary",
+  "checks": {
+    "apl.applied.bitwise_exact": true,
+    "apl.applied.finite": true,
+    "apl.applied.schema": true,
+    "apl.drive.bitwise_exact": true,
+    "apl.drive.finite": true,
+    "apl.drive.schema": true,
+    "apl.inhibition.bitwise_exact": true,
+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
+    "gpu.apl_keeps_ref.finite": true,
+    "gpu.apl_keeps_ref.schema": true,
+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.apl_unconditional_g_write.bitwise_exact": true,
+    "gpu.apl_unconditional_g_write.finite": true,
+    "gpu.apl_unconditional_g_write.schema": true,
+    "gpu.case_name": true,
+    "gpu.component_dimensions_clock": true,
+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
+    "gpu.fixed_delay_applied.finite": true,
+    "gpu.fixed_delay_applied.schema": true,
+    "gpu.fixed_delay_pending.bitwise_exact": true,
+    "gpu.fixed_delay_pending.finite": true,
+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
+    "gpu.history_final_g": true,
+    "gpu.history_final_ref": true,
+    "gpu.history_final_v": true,
+    "gpu.history_hashes_g": true,
+    "gpu.history_hashes_ref": true,
+    "gpu.history_hashes_v": true,
+    "gpu.history_mode": true,
+    "gpu.input_hashes": true,
+    "gpu.kc_target_count": true,
+    "gpu.last_hash_g": true,
+    "gpu.last_hash_ref": true,
+    "gpu.last_hash_v": true,
+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
+    "gpu.small_queue_independent_reconstruction": true,
+    "gpu.spike_g_reset_before_apl": true,
+    "gpu.summary_complete": true,
+    "gpu.timing_finite_nonnegative": true,
+    "gpu.timing_integer_metadata": true,
+    "gpu.timing_summary_metadata": true,
+    "hashes.parsed_exact": true,
+    "histories.g.bitwise_exact": true,
+    "histories.g.finite": true,
+    "histories.g.schema": true,
+    "histories.ref.bitwise_exact": true,
+    "histories.ref.finite": true,
+    "histories.ref.schema": true,
+    "histories.v.bitwise_exact": true,
+    "histories.v.finite": true,
+    "histories.v.schema": true,
+    "pre.g.bitwise_exact": true,
+    "pre.g.finite": true,
+    "pre.g.schema": true,
+    "pre.ref.bitwise_exact": true,
+    "pre.ref.finite": true,
+    "pre.ref.schema": true,
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+    "pre.v.finite": true,
+    "pre.v.schema": true,
+    "queues.parsed_exact": true,
+    "requests.parsed_exact": true,
+    "state.counts.bitwise_exact": true,
+    "state.counts.finite": true,
+    "state.counts.schema": true,
+    "state.g.bitwise_exact": true,
+    "state.g.finite": true,
+    "state.g.schema": true,
+    "state.neuron_idx.bitwise_exact": true,
+    "state.neuron_idx.finite": true,
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+  },
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+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/kc_ref_boundary-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
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+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 3,
+  "requested": 6,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 100,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 4
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-natural_request.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-natural_request.json
new file mode 100644
index 0000000..a9dac42
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-natural_request.json
@@ -0,0 +1,315 @@
+{
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+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 27,
+  "biological_delay_measurement_claimed": false,
+  "case": "natural_request",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay18/natural_request",
+  "checks": {
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+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
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+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
+    "gpu.apl_keeps_ref.finite": true,
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+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
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+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
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+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
+    "gpu.fixed_delay_applied.finite": true,
+    "gpu.fixed_delay_applied.schema": true,
+    "gpu.fixed_delay_pending.bitwise_exact": true,
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+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
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+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
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+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
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+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 1,
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+  "signed_zero_included": true,
+  "steps": 100,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 2
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-pn_pulse.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-pn_pulse.json
new file mode 100644
index 0000000..aff9423
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-pn_pulse.json
@@ -0,0 +1,315 @@
+{
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+  "arriving_edges": 5,
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+  "case": "pn_pulse",
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+  "checks": {
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+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
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+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
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+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
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+    "cpu.history_hashes_ref": true,
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+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
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+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
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+  "limits": [
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+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
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+  "signed_zero_included": true,
+  "steps": 300,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 1
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-two_sources.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-two_sources.json
new file mode 100644
index 0000000..c676fc9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-two_sources.json
@@ -0,0 +1,315 @@
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+  "case": "two_sources",
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+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
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+    "cpu.apl_keeps_ref.schema": true,
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+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 44,
+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 10,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 300,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 13
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-zero.json b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-zero.json
new file mode 100644
index 0000000..714ccc7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/compare-delay18-zero.json
@@ -0,0 +1,315 @@
+{
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+  "accepted_requests": 0,
+  "active_neurons": 0,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "arriving_edges": 0,
+  "biological_delay_measurement_claimed": false,
+  "case": "zero",
+  "case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/cases/delay18/zero",
+  "checks": {
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+    "apl.applied.finite": true,
+    "apl.applied.schema": true,
+    "apl.drive.bitwise_exact": true,
+    "apl.drive.finite": true,
+    "apl.drive.schema": true,
+    "apl.inhibition.bitwise_exact": true,
+    "apl.inhibition.finite": true,
+    "apl.inhibition.schema": true,
+    "apl.pending.bitwise_exact": true,
+    "apl.pending.finite": true,
+    "apl.pending.schema": true,
+    "apl.state.bitwise_exact": true,
+    "apl.state.finite": true,
+    "apl.state.schema": true,
+    "component.parsed_exact": true,
+    "cpu.accepted_spikes_rejected_absent": true,
+    "cpu.actual_author_coefficients_exact": true,
+    "cpu.actual_component_bundle_bytes": true,
+    "cpu.all_ref_hashes_from_actual_events": true,
+    "cpu.apl_fast_edge_count": true,
+    "cpu.apl_keeps_ref.bitwise_exact": true,
+    "cpu.apl_keeps_ref.finite": true,
+    "cpu.apl_keeps_ref.schema": true,
+    "cpu.apl_keeps_voltage.bitwise_exact": true,
+    "cpu.apl_keeps_voltage.finite": true,
+    "cpu.apl_keeps_voltage.schema": true,
+    "cpu.apl_positive_applied": true,
+    "cpu.apl_positive_drive": true,
+    "cpu.apl_positive_inhibition": true,
+    "cpu.apl_positive_state": true,
+    "cpu.apl_precision": true,
+    "cpu.apl_unconditional_g_write.bitwise_exact": true,
+    "cpu.apl_unconditional_g_write.finite": true,
+    "cpu.apl_unconditional_g_write.schema": true,
+    "cpu.bundle_hashes": true,
+    "cpu.case_name": true,
+    "cpu.coefficient_input_hash": true,
+    "cpu.component_dimensions_clock": true,
+    "cpu.component_precision_environment": true,
+    "cpu.count_nonnegative_total": true,
+    "cpu.delay_summary": true,
+    "cpu.delayed_all_edges_count": true,
+    "cpu.effective_weights_independent_bytes": true,
+    "cpu.effective_weights_raw_sha": true,
+    "cpu.events_per_neuron_counts": true,
+    "cpu.events_sorted_unique": true,
+    "cpu.final_apl_state_metadata": true,
+    "cpu.finite_sequence_row_conservation": true,
+    "cpu.fixed_delay_applied.bitwise_exact": true,
+    "cpu.fixed_delay_applied.finite": true,
+    "cpu.fixed_delay_applied.schema": true,
+    "cpu.fixed_delay_pending.bitwise_exact": true,
+    "cpu.fixed_delay_pending.finite": true,
+    "cpu.fixed_delay_pending.schema": true,
+    "cpu.frozen_apl_constants": true,
+    "cpu.graph_hashes": true,
+    "cpu.history_final_g": true,
+    "cpu.history_final_ref": true,
+    "cpu.history_final_v": true,
+    "cpu.history_hashes_g": true,
+    "cpu.history_hashes_ref": true,
+    "cpu.history_hashes_v": true,
+    "cpu.history_mode": true,
+    "cpu.kc_target_count": true,
+    "cpu.last_hash_g": true,
+    "cpu.last_hash_ref": true,
+    "cpu.last_hash_v": true,
+    "cpu.mask_provenance": true,
+    "cpu.no_candidate_trace_input": true,
+    "cpu.no_error_marker": true,
+    "cpu.no_extra_brain_or_apl_ticks": true,
+    "cpu.pending_hash_metadata": true,
+    "cpu.pending_shape_metadata": true,
+    "cpu.pending_summary_counts": true,
+    "cpu.pinned_environment": true,
+    "cpu.queue_observer_coverage": true,
+    "cpu.read_actual_case": true,
+    "cpu.ref_range": true,
+    "cpu.reported_events": true,
+    "cpu.request_refractory_gate": true,
+    "cpu.request_summary": true,
+    "cpu.requests_match_frozen_input": true,
+    "cpu.sidecar_complete": true,
+    "cpu.small_queue_independent_reconstruction": true,
+    "cpu.spike_g_reset_before_apl": true,
+    "cpu.summary_complete": true,
+    "cpu.timing_finite_nonnegative": true,
+    "cpu.timing_integer_metadata": true,
+    "cpu.timing_summary_metadata": true,
+    "cpu.worker_source_hash": true,
+    "gpu.accepted_spikes_rejected_absent": true,
+    "gpu.actual_component_bundle_bytes": true,
+    "gpu.all_ref_hashes_from_actual_events": true,
+    "gpu.apl_fast_edge_count": true,
+    "gpu.apl_keeps_ref.bitwise_exact": true,
+    "gpu.apl_keeps_ref.finite": true,
+    "gpu.apl_keeps_ref.schema": true,
+    "gpu.apl_keeps_voltage.bitwise_exact": true,
+    "gpu.apl_keeps_voltage.finite": true,
+    "gpu.apl_keeps_voltage.schema": true,
+    "gpu.apl_positive_applied": true,
+    "gpu.apl_positive_drive": true,
+    "gpu.apl_positive_inhibition": true,
+    "gpu.apl_positive_state": true,
+    "gpu.apl_precision": true,
+    "gpu.apl_unconditional_g_write.bitwise_exact": true,
+    "gpu.apl_unconditional_g_write.finite": true,
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+    "gpu.case_name": true,
+    "gpu.component_dimensions_clock": true,
+    "gpu.component_precision_environment": true,
+    "gpu.component_summary_consistent": true,
+    "gpu.count_nonnegative_total": true,
+    "gpu.delay_summary": true,
+    "gpu.delayed_all_edges_count": true,
+    "gpu.effective_weights_raw_sha": true,
+    "gpu.events_per_neuron_counts": true,
+    "gpu.events_sorted_unique": true,
+    "gpu.final_apl_state_metadata": true,
+    "gpu.finite_sequence_row_conservation": true,
+    "gpu.fixed_delay_applied.bitwise_exact": true,
+    "gpu.fixed_delay_applied.finite": true,
+    "gpu.fixed_delay_applied.schema": true,
+    "gpu.fixed_delay_pending.bitwise_exact": true,
+    "gpu.fixed_delay_pending.finite": true,
+    "gpu.fixed_delay_pending.schema": true,
+    "gpu.frozen_apl_constants": true,
+    "gpu.history_final_g": true,
+    "gpu.history_final_ref": true,
+    "gpu.history_final_v": true,
+    "gpu.history_hashes_g": true,
+    "gpu.history_hashes_ref": true,
+    "gpu.history_hashes_v": true,
+    "gpu.history_mode": true,
+    "gpu.input_hashes": true,
+    "gpu.kc_target_count": true,
+    "gpu.last_hash_g": true,
+    "gpu.last_hash_ref": true,
+    "gpu.last_hash_v": true,
+    "gpu.no_error_marker": true,
+    "gpu.no_extra_brain_or_apl_ticks": true,
+    "gpu.pending_hash_metadata": true,
+    "gpu.pending_shape_metadata": true,
+    "gpu.pending_summary_counts": true,
+    "gpu.ref_range": true,
+    "gpu.reported_events": true,
+    "gpu.request_refractory_gate": true,
+    "gpu.request_summary": true,
+    "gpu.requests_match_frozen_input": true,
+    "gpu.small_queue_independent_reconstruction": true,
+    "gpu.spike_g_reset_before_apl": true,
+    "gpu.summary_complete": true,
+    "gpu.timing_finite_nonnegative": true,
+    "gpu.timing_integer_metadata": true,
+    "gpu.timing_summary_metadata": true,
+    "hashes.parsed_exact": true,
+    "histories.g.bitwise_exact": true,
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+  "component_environment": {
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+    "/data/digital-drosophila/experiments/phase4aj-apl-timing/oracle/delay18/zero/ref-history.int32.npy": "452ae2ecf60cd4e28a42b9f1e764846d73789ed1a3e10d659eea5ed9926ccf56",
+    "/data/digital-drosophila/experiments/phase4aj-apl-timing/oracle/delay18/zero/requests.csv": "d2250de77a7723e0237f53b54038377b5502ccf3a549cc08f3344a1e924b99ac",
+    "/data/digital-drosophila/experiments/phase4aj-apl-timing/oracle/delay18/zero/state.npz": "acf8be16ad5ac4fab3a0fb96cd1b322b86cb0089f506f57a7d4a6043f4e18dff",
+    "/data/digital-drosophila/experiments/phase4aj-apl-timing/oracle/delay18/zero/summary.json": "5d528e51ac04a215beec49218a6fae237d2651b4fbb994a5b84d8b971afcaeec",
+    "/data/digital-drosophila/experiments/phase4aj-apl-timing/oracle/delay18/zero/tick-state-hashes.jsonl": "351b5dfaad76fd9bfacb230a8d131d9d0b1af41771d49c50c1278d6b398d010d",
+    "/data/digital-drosophila/experiments/phase4aj-apl-timing/oracle/delay18/zero/v-history.float64.npy": "e7fda85153afdfca62a8295976a28b2b83735cadaba9179a3922095c02d3c9b6",
+    "/data/digital-drosophila/experiments/phase4aj-apl-timing/oracle/delay18/zero/weights.npy": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+  },
+  "failed_checks": [],
+  "finite_generated_sequence_accounting_only": true,
+  "gpu_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/zero-r0",
+  "independent_CPU_all_components_claim": false,
+  "kind": "shared-APL-component closed-loop byte-exact comparison",
+  "limits": [
+    "APL Torch primitives are shared; original AST component validation is a separate required gate.",
+    "Small cases preserve and independently hash all pre/post states; full cases compare all-tick instrumented state hashes without saving dense whole-brain histories.",
+    "For full cases intermediate finite checks are performed by the instrumented backends; this file independently inspects final states and all APL traces.",
+    "Fixed-delay checks conserve this run's finite generated sample sequence, including pending initial zeros; no tail brain advancement or equality of different closed-loop branches is claimed.",
+    "This is exact agreement for the declared trajectory, not physiological validity or learning."
+  ],
+  "nodes": 44,
+  "pass_all": true,
+  "record_history": true,
+  "rejected_requests": 0,
+  "requested": 0,
+  "scientific_apl_delay_fields_compared": true,
+  "signed_zero_included": true,
+  "steps": 100,
+  "timing_fields_compared": false,
+  "tolerance": null,
+  "total_spikes": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-apl_only.json b/registry/phase4aj-apl-timing/evidence/audit/control-apl_only.json
new file mode 100644
index 0000000..2ee9b62
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-apl_only.json
@@ -0,0 +1,33 @@
+{
+  "pass_all": true,
+  "case": "apl_only",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true,
+    "v-history.float64.npy": true,
+    "g-history.float64.npy": true,
+    "ref-history.int32.npy": true,
+    "preAPL-v.float64.npy": true,
+    "preAPL-g.float64.npy": true,
+    "preAPL-ref.int32.npy": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-arrival_collision.json b/registry/phase4aj-apl-timing/evidence/audit/control-arrival_collision.json
new file mode 100644
index 0000000..88206ad
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-arrival_collision.json
@@ -0,0 +1,33 @@
+{
+  "pass_all": true,
+  "case": "arrival_collision",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true,
+    "v-history.float64.npy": true,
+    "g-history.float64.npy": true,
+    "ref-history.int32.npy": true,
+    "preAPL-v.float64.npy": true,
+    "preAPL-g.float64.npy": true,
+    "preAPL-ref.int32.npy": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-cal-matched_energy-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/control-cal-matched_energy-00-s51101.json
new file mode 100644
index 0000000..e51e2dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-cal-matched_energy-00-s51101.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-matched_energy-00-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-cal-physiological-00-s51101.json b/registry/phase4aj-apl-timing/evidence/audit/control-cal-physiological-00-s51101.json
new file mode 100644
index 0000000..20a8e23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-cal-physiological-00-s51101.json
@@ -0,0 +1,27 @@
+{
+  "pass_all": true,
+  "case": "cal-physiological-00-s51101",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-high_fanin.json b/registry/phase4aj-apl-timing/evidence/audit/control-high_fanin.json
new file mode 100644
index 0000000..f575486
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-high_fanin.json
@@ -0,0 +1,33 @@
+{
+  "pass_all": true,
+  "case": "high_fanin",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true,
+    "v-history.float64.npy": true,
+    "g-history.float64.npy": true,
+    "ref-history.int32.npy": true,
+    "preAPL-v.float64.npy": true,
+    "preAPL-g.float64.npy": true,
+    "preAPL-ref.int32.npy": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-kc_ref_boundary.json b/registry/phase4aj-apl-timing/evidence/audit/control-kc_ref_boundary.json
new file mode 100644
index 0000000..296ba5c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-kc_ref_boundary.json
@@ -0,0 +1,33 @@
+{
+  "pass_all": true,
+  "case": "kc_ref_boundary",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true,
+    "v-history.float64.npy": true,
+    "g-history.float64.npy": true,
+    "ref-history.int32.npy": true,
+    "preAPL-v.float64.npy": true,
+    "preAPL-g.float64.npy": true,
+    "preAPL-ref.int32.npy": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-natural_request.json b/registry/phase4aj-apl-timing/evidence/audit/control-natural_request.json
new file mode 100644
index 0000000..9e3c7f0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-natural_request.json
@@ -0,0 +1,33 @@
+{
+  "pass_all": true,
+  "case": "natural_request",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true,
+    "v-history.float64.npy": true,
+    "g-history.float64.npy": true,
+    "ref-history.int32.npy": true,
+    "preAPL-v.float64.npy": true,
+    "preAPL-g.float64.npy": true,
+    "preAPL-ref.int32.npy": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-pn_pulse.json b/registry/phase4aj-apl-timing/evidence/audit/control-pn_pulse.json
new file mode 100644
index 0000000..7427a98
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-pn_pulse.json
@@ -0,0 +1,33 @@
+{
+  "pass_all": true,
+  "case": "pn_pulse",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true,
+    "v-history.float64.npy": true,
+    "g-history.float64.npy": true,
+    "ref-history.int32.npy": true,
+    "preAPL-v.float64.npy": true,
+    "preAPL-g.float64.npy": true,
+    "preAPL-ref.int32.npy": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-two_sources.json b/registry/phase4aj-apl-timing/evidence/audit/control-two_sources.json
new file mode 100644
index 0000000..2bd787c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-two_sources.json
@@ -0,0 +1,33 @@
+{
+  "pass_all": true,
+  "case": "two_sources",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true,
+    "v-history.float64.npy": true,
+    "g-history.float64.npy": true,
+    "ref-history.int32.npy": true,
+    "preAPL-v.float64.npy": true,
+    "preAPL-g.float64.npy": true,
+    "preAPL-ref.int32.npy": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/control-zero.json b/registry/phase4aj-apl-timing/evidence/audit/control-zero.json
new file mode 100644
index 0000000..4324c03
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/control-zero.json
@@ -0,0 +1,33 @@
+{
+  "pass_all": true,
+  "case": "zero",
+  "checks": {
+    "state/step": true,
+    "state/neuron_idx": true,
+    "state/counts": true,
+    "state/v": true,
+    "state/g": true,
+    "state/ref": true,
+    "apl-drive.float32.npy": true,
+    "apl-state.float32.npy": true,
+    "apl-inhibition.float32.npy": true,
+    "tick-state-hashes.jsonl": true,
+    "queue.jsonl": true,
+    "requests.csv": true,
+    "APL_component": true,
+    "effective_weights_raw_sha256": true,
+    "summary/nodes": true,
+    "summary/edges": true,
+    "summary/precision": true,
+    "summary/apl_fast_edges_zeroed": true,
+    "summary/kc_targets_present": true,
+    "v-history.float64.npy": true,
+    "g-history.float64.npy": true,
+    "ref-history.int32.npy": true,
+    "preAPL-v.float64.npy": true,
+    "preAPL-g.float64.npy": true,
+    "preAPL-ref.int32.npy": true
+  },
+  "scope": "Six state arrays, all tick hashes/queues/requests, generated APL, component, effective weights and fixture pre/post histories",
+  "adapter_paths_budgets_and_runtime_metadata_compared": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/final-status.json b/registry/phase4aj-apl-timing/evidence/audit/final-status.json
new file mode 100644
index 0000000..390ed95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/final-status.json
@@ -0,0 +1,15474 @@
+{
+  "status": "PASS-FIXED-CAL-APL-TIMING-HYPOTHESIS",
+  "numerical_gate_pass": true,
+  "full_CAL_execution_gate_pass": true,
+  "delay0_representation_pass": false,
+  "delay18_representation_pass": true,
+  "origin_audit": {
+    "pass_all": true,
+    "status": "PASS-CONDITIONAL-EARLIEST-AL-ORIGIN-AUDIT",
+    "trials": [
+      {
+        "case": "cal-physiological-00-s51101",
+        "repeat": 0,
+        "mode": "physiological",
+        "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+        "seed": 51101,
+        "ALLN_targets": 420,
+        "exact": {
+          "v": true,
+          "g": true,
+          "ref": true,
+          "counts": true,
+          "step": true,
+          "neuron_idx": true
+        },
+        "pass_all": true,
+        "summary_sha256": "1d2131120e12ca03100d850cf6e45411f571b9807b9003eb96d96dfdc68742b0"
+      },
+      {
+        "case": "cal-physiological-00-s51102",
+        "repeat": 0,
+        "mode": "physiological",
+        "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+        "seed": 51102,
+        "ALLN_targets": 420,
+        "exact": {
+          "v": true,
+          "g": true,
+          "ref": true,
+          "counts": true,
+          "step": true,
+          "neuron_idx": true
+        },
+        "pass_all": true,
+        "summary_sha256": "5e2b757214ea4db1091b1ea38b65523f47e4d454a1ea6910b0770600b7f449d0"
+      },
+      {
+        "case": "cal-physiological-00-s51103",
+        "repeat": 0,
+        "mode": "physiological",
+        "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+        "seed": 51103,
+        "ALLN_targets": 420,
+        "exact": {
+          "v": true,
+          "g": true,
+          "ref": true,
+          "counts": true,
+          "step": true,
+          "neuron_idx": true
+        },
+        "pass_all": true,
+        "summary_sha256": "ffcf8e868d32146b954e794cc16f5926d2809a811ba18ccab109f39579b36510"
+      },
+      {
+        "case": "cal-physiological-00-s51104",
+        "repeat": 0,
+        "mode": "physiological",
+        "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+        "seed": 51104,
+        "ALLN_targets": 420,
+        "exact": {
+          "v": true,
+          "g": true,
+          "ref": true,
+          "counts": true,
+          "step": true,
+          "neuron_idx": true
+        },
+        "pass_all": true,
+        "summary_sha256": "8bbf2d2ebd717017ba6f291abeca444554ab93f982164dc431a1467c7f808cf6"
+      },
+      {
+        "case": "cal-physiological-00-s51105",
+        "repeat": 0,
+        "mode": "physiological",
+        "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+        "seed": 51105,
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+            "KC_active_fraction": 0.012303149606299213,
+            "KC_spikes": 53,
+            "KC_first_latency_ms": 15.9,
+            "external_events": 75,
+            "expected_external_events": 102.24431762695312,
+            "total_PN_rate_hz": 1022.4431762695312,
+            "finite": true,
+            "total_spikes": 30854,
+            "requested": 108
+          },
+          {
+            "case": "cal-matched_energy-05-s51102",
+            "mode": "matched_energy",
+            "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+            "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+            "seed": 51102,
+            "split": "calibration",
+            "KC_active": 50,
+            "KC_active_fraction": 0.012303149606299213,
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+            "KC_first_latency_ms": 14.100000000000001,
+            "external_events": 65,
+            "expected_external_events": 102.24431762695312,
+            "total_PN_rate_hz": 1022.4431762695312,
+            "finite": true,
+            "total_spikes": 30957,
+            "requested": 90
+          },
+          {
+            "case": "cal-matched_energy-05-s51103",
+            "mode": "matched_energy",
+            "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+            "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+            "seed": 51103,
+            "split": "calibration",
+            "KC_active": 67,
+            "KC_active_fraction": 0.016486220472440943,
+            "KC_spikes": 70,
+            "KC_first_latency_ms": 12.600000000000001,
+            "external_events": 57,
+            "expected_external_events": 102.24431762695312,
+            "total_PN_rate_hz": 1022.4431762695312,
+            "finite": true,
+            "total_spikes": 30326,
+            "requested": 94
+          },
+          {
+            "case": "cal-matched_energy-05-s51104",
+            "mode": "matched_energy",
+            "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+            "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+            "seed": 51104,
+            "split": "calibration",
+            "KC_active": 49,
+            "KC_active_fraction": 0.012057086614173228,
+            "KC_spikes": 52,
+            "KC_first_latency_ms": 24.200000000000003,
+            "external_events": 67,
+            "expected_external_events": 102.24431762695312,
+            "total_PN_rate_hz": 1022.4431762695312,
+            "finite": true,
+            "total_spikes": 26478,
+            "requested": 95
+          },
+          {
+            "case": "cal-matched_energy-05-s51105",
+            "mode": "matched_energy",
+            "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+            "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+            "seed": 51105,
+            "split": "calibration",
+            "KC_active": 63,
+            "KC_active_fraction": 0.015501968503937008,
+            "KC_spikes": 66,
+            "KC_first_latency_ms": 24.200000000000003,
+            "external_events": 68,
+            "expected_external_events": 102.24431762695312,
+            "total_PN_rate_hz": 1022.4431762695312,
+            "finite": true,
+            "total_spikes": 29635,
+            "requested": 107
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+        ],
+        "repeats": [
+          {
+            "case": "cal-physiological-00-s51101",
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+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
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+              "apl-inhibition.float32.npy": true,
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+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
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+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
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+          {
+            "case": "cal-physiological-01-s51101",
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+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
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+              "apl-inhibition.float32.npy": true,
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+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
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+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-02-s51101",
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+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
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+              "apl-drive.float32.npy": true,
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+              "apl-inhibition.float32.npy": true,
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+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
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+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-03-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
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+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
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+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
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+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-04-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
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+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
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+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
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+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-05-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-00-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-01-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-02-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
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+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-03-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-04-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-05-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
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+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          }
+        ],
+        "timing_checks": [
+          {
+            "case": "cal-physiological-00-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-00-s51101",
+            "repeat": 1,
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+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
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+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-00-s51102",
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+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
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+          {
+            "case": "cal-physiological-00-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
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+            "pending_initial_zero_prefix": 0,
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+          },
+          {
+            "case": "cal-physiological-00-s51104",
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+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-00-s51105",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51104",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51105",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51104",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51105",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51104",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51105",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-04-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 0,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 0,
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+              "different_euclidean_gt_same": true,
+              "at_least_original_pair_count": true
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+            "gate": true
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+            "finite": true,
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+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-01-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-02-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-03-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-04-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-physiological-05-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-00-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-01-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-02-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-03-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-04-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          },
+          {
+            "case": "cal-matched_energy-05-s51101",
+            "pass_all": true,
+            "checks": {
+              "state/step": true,
+              "state/neuron_idx": true,
+              "state/counts": true,
+              "state/v": true,
+              "state/g": true,
+              "state/ref": true,
+              "apl-drive.float32.npy": true,
+              "apl-state.float32.npy": true,
+              "apl-inhibition.float32.npy": true,
+              "tick_state_hashes": true,
+              "queues": true,
+              "requests": true,
+              "apl_component": true,
+              "apl_applied": true,
+              "apl_pending": true,
+              "timing_audit": true
+            },
+            "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+          }
+        ],
+        "timing_checks": [
+          {
+            "case": "cal-physiological-00-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-00-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-00-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-00-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-00-s51104",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-00-s51105",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
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+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-01-s51105",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51104",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-02-s51105",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51104",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-03-s51105",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-04-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-04-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-04-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-04-s51103",
+            "repeat": 0,
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+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
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+            "repeat": 0,
+            "pass_all": true,
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+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-04-s51105",
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+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-05-s51101",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-05-s51101",
+            "repeat": 1,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-05-s51102",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-05-s51103",
+            "repeat": 0,
+            "pass_all": true,
+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
+            "case": "cal-physiological-05-s51104",
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+            "apl_delay_steps": 18,
+            "steps": 1000,
+            "generated_applied_pending_bits_exact": true,
+            "pending_generated_count": 18,
+            "pending_initial_zero_prefix": 0,
+            "brain_tail_advanced": false
+          },
+          {
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/fixtures-gate.json b/registry/phase4aj-apl-timing/evidence/audit/fixtures-gate.json
new file mode 100644
index 0000000..1781a68
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/fixtures-gate.json
@@ -0,0 +1,102 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/probes-gate.json b/registry/phase4aj-apl-timing/evidence/audit/probes-gate.json
new file mode 100644
index 0000000..9a15e3e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/probes-gate.json
@@ -0,0 +1,30 @@
+{
+  "pass_all": true,
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+      "case": "cal-matched_energy-00-s51101",
+      "pass_all": true,
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+  "scope": "Both arms; same two original first-CAL fullgraph cases"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-apl_only-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-apl_only-r1.json
new file mode 100644
index 0000000..b5fd9ea
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-apl_only-r1.json
@@ -0,0 +1,237 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-apl_only-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-apl_only-r2.json
new file mode 100644
index 0000000..dbe945f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-apl_only-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-arrival_collision-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-arrival_collision-r1.json
new file mode 100644
index 0000000..53d0585
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-arrival_collision-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-arrival_collision-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-arrival_collision-r2.json
new file mode 100644
index 0000000..b4652c6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-arrival_collision-r2.json
@@ -0,0 +1,237 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-high_fanin-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-high_fanin-r1.json
new file mode 100644
index 0000000..b8dbba0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-high_fanin-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-high_fanin-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-high_fanin-r2.json
new file mode 100644
index 0000000..840a1cf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-high_fanin-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-kc_ref_boundary-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-kc_ref_boundary-r1.json
new file mode 100644
index 0000000..93d297e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-kc_ref_boundary-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-kc_ref_boundary-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-kc_ref_boundary-r2.json
new file mode 100644
index 0000000..80a886b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-kc_ref_boundary-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-natural_request-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-natural_request-r1.json
new file mode 100644
index 0000000..d51a69e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-natural_request-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-natural_request-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-natural_request-r2.json
new file mode 100644
index 0000000..9a2ed4b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-natural_request-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-pn_pulse-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-pn_pulse-r1.json
new file mode 100644
index 0000000..f8d2343
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-pn_pulse-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-pn_pulse-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-pn_pulse-r2.json
new file mode 100644
index 0000000..9b642b4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-pn_pulse-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-two_sources-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-two_sources-r1.json
new file mode 100644
index 0000000..920a68b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-two_sources-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-two_sources-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-two_sources-r2.json
new file mode 100644
index 0000000..dafede6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-two_sources-r2.json
@@ -0,0 +1,237 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-zero-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-zero-r1.json
new file mode 100644
index 0000000..d1ba6ce
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-zero-r1.json
@@ -0,0 +1,237 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-zero-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-zero-r2.json
new file mode 100644
index 0000000..9e6bbc9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay0-zero-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-apl_only-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-apl_only-r1.json
new file mode 100644
index 0000000..f81eb91
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-apl_only-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-apl_only-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-apl_only-r2.json
new file mode 100644
index 0000000..5d71ab3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-apl_only-r2.json
@@ -0,0 +1,237 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-arrival_collision-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-arrival_collision-r1.json
new file mode 100644
index 0000000..61c482d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-arrival_collision-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-arrival_collision-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-arrival_collision-r2.json
new file mode 100644
index 0000000..0a046ff
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-arrival_collision-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-high_fanin-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-high_fanin-r1.json
new file mode 100644
index 0000000..e89470d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-high_fanin-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-high_fanin-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-high_fanin-r2.json
new file mode 100644
index 0000000..cb8e5b3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-high_fanin-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-kc_ref_boundary-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-kc_ref_boundary-r1.json
new file mode 100644
index 0000000..7cd3530
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-kc_ref_boundary-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-kc_ref_boundary-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-kc_ref_boundary-r2.json
new file mode 100644
index 0000000..71f7621
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-kc_ref_boundary-r2.json
@@ -0,0 +1,237 @@
+{
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+    "summary.apl_schedule": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-natural_request-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-natural_request-r1.json
new file mode 100644
index 0000000..a0c8684
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-natural_request-r1.json
@@ -0,0 +1,237 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-natural_request-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-natural_request-r2.json
new file mode 100644
index 0000000..9d85e43
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-natural_request-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-pn_pulse-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-pn_pulse-r1.json
new file mode 100644
index 0000000..0026693
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-pn_pulse-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-pn_pulse-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-pn_pulse-r2.json
new file mode 100644
index 0000000..5d98e1d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-pn_pulse-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-two_sources-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-two_sources-r1.json
new file mode 100644
index 0000000..60865b8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-two_sources-r1.json
@@ -0,0 +1,237 @@
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+    "second_gpu.ref_range": true,
+    "second_gpu.reported_events": true,
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+    "second_gpu.timing_finite_nonnegative": true,
+    "second_gpu.timing_integer_metadata": true,
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+    "state.counts.bitwise_exact": true,
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+    "state.g.finite": true,
+    "state.g.schema": true,
+    "state.neuron_idx.bitwise_exact": true,
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+    "state.neuron_idx.schema": true,
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+    "state.ref.finite": true,
+    "state.ref.schema": true,
+    "state.step.bitwise_exact": true,
+    "state.step.finite": true,
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+    "state.v.bitwise_exact": true,
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+    "state.v.schema": true,
+    "summary.accepted_arriving_edges": true,
+    "summary.accepted_requests": true,
+    "summary.all_finite": true,
+    "summary.apl_delay_steps": true,
+    "summary.apl_fast_edges_zeroed": true,
+    "summary.apl_precision": true,
+    "summary.apl_schedule": true,
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+    "summary.apl_timing": true,
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+    "summary.future_generated_decay_tail_included": true,
+    "summary.input_sha256": true,
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+    "summary.learning": true,
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+    "summary.precision": true,
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+    "summary.requested": true,
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+    "summary.source_provenance": true,
+    "summary.state_units": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-two_sources-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-two_sources-r2.json
new file mode 100644
index 0000000..287534b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-two_sources-r2.json
@@ -0,0 +1,237 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-zero-r1.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-zero-r1.json
new file mode 100644
index 0000000..1fa734f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-zero-r1.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-zero-r2.json b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-zero-r2.json
new file mode 100644
index 0000000..85a8880
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/repeat-delay18-zero-r2.json
@@ -0,0 +1,237 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/audit/shift-gate.json b/registry/phase4aj-apl-timing/evidence/audit/shift-gate.json
new file mode 100644
index 0000000..cfef730
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/audit/shift-gate.json
@@ -0,0 +1,2322 @@
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+  "preservation": "Every generated finite-window sample retained bitwise in applied or chronological pending slots; initial padding is +0"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/calibration/delay0/matched_energy.json b/registry/phase4aj-apl-timing/evidence/calibration/delay0/matched_energy.json
new file mode 100644
index 0000000..df142eb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/calibration/delay0/matched_energy.json
@@ -0,0 +1,166 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/calibration/delay0/physiological.json b/registry/phase4aj-apl-timing/evidence/calibration/delay0/physiological.json
new file mode 100644
index 0000000..093cd10
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/calibration/delay0/physiological.json
@@ -0,0 +1,166 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/calibration/delay0/summary.json b/registry/phase4aj-apl-timing/evidence/calibration/delay0/summary.json
new file mode 100644
index 0000000..f2bc87e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/calibration/delay0/summary.json
@@ -0,0 +1,5821 @@
+{
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+      "mode": "matched_energy",
+      "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+      "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
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+      "KC_first_latency_ms": 24.200000000000003,
+      "external_events": 67,
+      "expected_external_events": 102.24431762695312,
+      "total_PN_rate_hz": 1022.4431762695312,
+      "finite": true,
+      "total_spikes": 26478,
+      "requested": 95
+    },
+    {
+      "case": "cal-matched_energy-05-s51105",
+      "mode": "matched_energy",
+      "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+      "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
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+      "split": "calibration",
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+      "KC_spikes": 66,
+      "KC_first_latency_ms": 24.200000000000003,
+      "external_events": 68,
+      "expected_external_events": 102.24431762695312,
+      "total_PN_rate_hz": 1022.4431762695312,
+      "finite": true,
+      "total_spikes": 29635,
+      "requested": 107
+    }
+  ],
+  "repeats": [
+    {
+      "case": "cal-physiological-00-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-01-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
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+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-02-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
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+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-03-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-04-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
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+        "state/g": true,
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+        "apl-inhibition.float32.npy": true,
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+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-05-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
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+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
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+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-00-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
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+        "state/g": true,
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+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
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+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-01-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-02-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-03-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
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+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-04-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
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+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-05-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
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+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
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+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    }
+  ],
+  "timing_checks": [
+    {
+      "case": "cal-physiological-00-s51101",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-00-s51101",
+      "repeat": 1,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-00-s51102",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-00-s51103",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-00-s51104",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-00-s51105",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-01-s51101",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-01-s51101",
+      "repeat": 1,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-01-s51102",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-01-s51103",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-01-s51104",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-01-s51105",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-02-s51101",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-02-s51101",
+      "repeat": 1,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-02-s51102",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-02-s51103",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-02-s51104",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-02-s51105",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-03-s51101",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-03-s51101",
+      "repeat": 1,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-03-s51102",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-03-s51103",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-03-s51104",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-03-s51105",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-04-s51101",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-04-s51101",
+      "repeat": 1,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-04-s51102",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-04-s51103",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-04-s51104",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
+      "case": "cal-physiological-04-s51105",
+      "repeat": 0,
+      "pass_all": true,
+      "apl_delay_steps": 0,
+      "steps": 1000,
+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 0,
+      "pending_initial_zero_prefix": 0,
+      "brain_tail_advanced": false
+    },
+    {
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diff --git a/registry/phase4aj-apl-timing/evidence/calibration/delay18/matched_energy.json b/registry/phase4aj-apl-timing/evidence/calibration/delay18/matched_energy.json
new file mode 100644
index 0000000..db31333
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/calibration/delay18/matched_energy.json
@@ -0,0 +1,166 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/calibration/delay18/physiological.json b/registry/phase4aj-apl-timing/evidence/calibration/delay18/physiological.json
new file mode 100644
index 0000000..449915d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/calibration/delay18/physiological.json
@@ -0,0 +1,166 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/calibration/delay18/summary.json b/registry/phase4aj-apl-timing/evidence/calibration/delay18/summary.json
new file mode 100644
index 0000000..6f0e3fb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/calibration/delay18/summary.json
@@ -0,0 +1,3804 @@
+{
+  "arm": "delay18",
+  "apl_delay_steps": 18,
+  "pass_all": true,
+  "execution_gate_pass": true,
+  "numerical_integrity_pass": true,
+  "exact_repeat_pass": true,
+  "control_identity_applicable": false,
+  "delay0_control_identity_pass": null,
+  "original_representation_gate_pass": true,
+  "expected_base_trials": 60,
+  "valid_base_trials": 60,
+  "expected_repeats": 12,
+  "checked_repeats": 12,
+  "checked_timing_trials": 72,
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+      "within_distance_count": 60,
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+      "pairwise_baseline": "Each pair's two odors: 10+10 within-seed distances; never pooled across all odors",
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+          "gate": true
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+        {
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+        {
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+        {
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+        {
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+        "different_euclidean_gt_same": true,
+        "at_least_original_pair_count": true
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+      "gate": true
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+      "pairwise_baseline": "Each pair's two odors: 10+10 within-seed distances; never pooled across all odors",
+      "pairs": [
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+        {
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+        {
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+        {
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+        {
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+        {
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+        {
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+        {
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+        {
+          "odor_id_a": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
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+        {
+          "odor_id_a": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
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+        {
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+        {
+          "odor_id_a": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
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+      "conditions": {
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+      "gate": true
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+    {
+      "case": "cal-physiological-00-s51101",
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+      "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+      "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
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+      "finite": true,
+      "total_spikes": 29672,
+      "requested": 121
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+    {
+      "case": "cal-physiological-00-s51102",
+      "mode": "physiological",
+      "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+      "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+      "seed": 51102,
+      "split": "calibration",
+      "KC_active": 132,
+      "KC_active_fraction": 0.03248031496062992,
+      "KC_spikes": 135,
+      "KC_first_latency_ms": 16.2,
+      "external_events": 66,
+      "expected_external_events": 105.90211181640625,
+      "total_PN_rate_hz": 1059.0211181640625,
+      "finite": true,
+      "total_spikes": 30075,
+      "requested": 94
+    },
+    {
+      "case": "cal-physiological-00-s51103",
+      "mode": "physiological",
+      "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+      "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+      "seed": 51103,
+      "split": "calibration",
+      "KC_active": 142,
+      "KC_active_fraction": 0.034940944881889764,
+      "KC_spikes": 145,
+      "KC_first_latency_ms": 16.400000000000002,
+      "external_events": 67,
+      "expected_external_events": 105.90211181640625,
+      "total_PN_rate_hz": 1059.0211181640625,
+      "finite": true,
+      "total_spikes": 31112,
+      "requested": 95
+    },
+    {
+      "case": "cal-physiological-00-s51104",
+      "mode": "physiological",
+      "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+      "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+      "seed": 51104,
+      "split": "calibration",
+      "KC_active": 127,
+      "KC_active_fraction": 0.03125,
+      "KC_spikes": 130,
+      "KC_first_latency_ms": 24.5,
+      "external_events": 71,
+      "expected_external_events": 105.90211181640625,
+      "total_PN_rate_hz": 1059.0211181640625,
+      "finite": true,
+      "total_spikes": 26911,
+      "requested": 96
+    },
+    {
+      "case": "cal-physiological-00-s51105",
+      "mode": "physiological",
+      "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+      "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+      "seed": 51105,
+      "split": "calibration",
+      "KC_active": 160,
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+      "KC_spikes": 162,
+      "KC_first_latency_ms": 16.2,
+      "external_events": 87,
+      "expected_external_events": 105.90211181640625,
+      "total_PN_rate_hz": 1059.0211181640625,
+      "finite": true,
+      "total_spikes": 29491,
+      "requested": 116
+    },
+    {
+      "case": "cal-physiological-01-s51101",
+      "mode": "physiological",
+      "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+      "odor_name": "3-penten-2-one",
+      "seed": 51101,
+      "split": "calibration",
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+      "KC_active_fraction": 0.031003937007874016,
+      "KC_spikes": 129,
+      "KC_first_latency_ms": 14.4,
+      "external_events": 94,
+      "expected_external_events": 126.12415771484375,
+      "total_PN_rate_hz": 1261.2415771484375,
+      "finite": true,
+      "total_spikes": 32313,
+      "requested": 133
+    },
+    {
+      "case": "cal-physiological-01-s51102",
+      "mode": "physiological",
+      "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+      "odor_name": "3-penten-2-one",
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+      "split": "calibration",
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+      "KC_active_fraction": 0.03666338582677165,
+      "KC_spikes": 151,
+      "KC_first_latency_ms": 10.8,
+      "external_events": 83,
+      "expected_external_events": 126.12415771484375,
+      "total_PN_rate_hz": 1261.2415771484375,
+      "finite": true,
+      "total_spikes": 31454,
+      "requested": 124
+    },
+    {
+      "case": "cal-physiological-01-s51103",
+      "mode": "physiological",
+      "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+      "odor_name": "3-penten-2-one",
+      "seed": 51103,
+      "split": "calibration",
+      "KC_active": 190,
+      "KC_active_fraction": 0.04675196850393701,
+      "KC_spikes": 193,
+      "KC_first_latency_ms": 13.0,
+      "external_events": 73,
+      "expected_external_events": 126.12415771484375,
+      "total_PN_rate_hz": 1261.2415771484375,
+      "finite": true,
+      "total_spikes": 30684,
+      "requested": 113
+    },
+    {
+      "case": "cal-physiological-01-s51104",
+      "mode": "physiological",
+      "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+      "odor_name": "3-penten-2-one",
+      "seed": 51104,
+      "split": "calibration",
+      "KC_active": 123,
+      "KC_active_fraction": 0.03026574803149606,
+      "KC_spikes": 126,
+      "KC_first_latency_ms": 13.200000000000001,
+      "external_events": 75,
+      "expected_external_events": 126.12415771484375,
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+      "KC_spikes": 155,
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+      "external_events": 77,
+      "expected_external_events": 102.24430541992187,
+      "total_PN_rate_hz": 1022.4430541992188,
+      "finite": true,
+      "total_spikes": 30487,
+      "requested": 107
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+    {
+      "case": "cal-matched_energy-02-s51102",
+      "mode": "matched_energy",
+      "odor_id": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
+      "odor_name": "(2R)-hexan-2-ol",
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+      "KC_spikes": 131,
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+      "external_events": 57,
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+      "total_PN_rate_hz": 1022.4430541992188,
+      "finite": true,
+      "total_spikes": 30279,
+      "requested": 92
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+    {
+      "case": "cal-matched_energy-02-s51103",
+      "mode": "matched_energy",
+      "odor_id": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
+      "odor_name": "(2R)-hexan-2-ol",
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+      "KC_spikes": 113,
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+      "total_PN_rate_hz": 1022.4430541992188,
+      "finite": true,
+      "total_spikes": 29556,
+      "requested": 81
+    },
+    {
+      "case": "cal-matched_energy-02-s51104",
+      "mode": "matched_energy",
+      "odor_id": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
+      "odor_name": "(2R)-hexan-2-ol",
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+      "split": "calibration",
+      "KC_active": 170,
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+      "KC_spikes": 174,
+      "KC_first_latency_ms": 17.1,
+      "external_events": 48,
+      "expected_external_events": 102.24430541992187,
+      "total_PN_rate_hz": 1022.4430541992188,
+      "finite": true,
+      "total_spikes": 29613,
+      "requested": 86
+    },
+    {
+      "case": "cal-matched_energy-02-s51105",
+      "mode": "matched_energy",
+      "odor_id": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
+      "odor_name": "(2R)-hexan-2-ol",
+      "seed": 51105,
+      "split": "calibration",
+      "KC_active": 146,
+      "KC_active_fraction": 0.0359251968503937,
+      "KC_spikes": 149,
+      "KC_first_latency_ms": 15.4,
+      "external_events": 68,
+      "expected_external_events": 102.24430541992187,
+      "total_PN_rate_hz": 1022.4430541992188,
+      "finite": true,
+      "total_spikes": 30839,
+      "requested": 100
+    },
+    {
+      "case": "cal-matched_energy-03-s51101",
+      "mode": "matched_energy",
+      "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+      "odor_name": "gamma-propyl-gamma-butyrolactone",
+      "seed": 51101,
+      "split": "calibration",
+      "KC_active": 125,
+      "KC_active_fraction": 0.030757874015748032,
+      "KC_spikes": 128,
+      "KC_first_latency_ms": 17.6,
+      "external_events": 82,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 31457,
+      "requested": 101
+    },
+    {
+      "case": "cal-matched_energy-03-s51102",
+      "mode": "matched_energy",
+      "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+      "odor_name": "gamma-propyl-gamma-butyrolactone",
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+      "split": "calibration",
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+      "KC_spikes": 132,
+      "KC_first_latency_ms": 19.3,
+      "external_events": 67,
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+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 29756,
+      "requested": 94
+    },
+    {
+      "case": "cal-matched_energy-03-s51103",
+      "mode": "matched_energy",
+      "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+      "odor_name": "gamma-propyl-gamma-butyrolactone",
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+      "split": "calibration",
+      "KC_active": 119,
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+      "KC_spikes": 121,
+      "KC_first_latency_ms": 27.5,
+      "external_events": 65,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 27804,
+      "requested": 101
+    },
+    {
+      "case": "cal-matched_energy-03-s51104",
+      "mode": "matched_energy",
+      "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+      "odor_name": "gamma-propyl-gamma-butyrolactone",
+      "seed": 51104,
+      "split": "calibration",
+      "KC_active": 133,
+      "KC_active_fraction": 0.0327263779527559,
+      "KC_spikes": 136,
+      "KC_first_latency_ms": 26.700000000000003,
+      "external_events": 68,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 26060,
+      "requested": 82
+    },
+    {
+      "case": "cal-matched_energy-03-s51105",
+      "mode": "matched_energy",
+      "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+      "odor_name": "gamma-propyl-gamma-butyrolactone",
+      "seed": 51105,
+      "split": "calibration",
+      "KC_active": 146,
+      "KC_active_fraction": 0.0359251968503937,
+      "KC_spikes": 148,
+      "KC_first_latency_ms": 18.2,
+      "external_events": 80,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 28495,
+      "requested": 110
+    },
+    {
+      "case": "cal-matched_energy-04-s51101",
+      "mode": "matched_energy",
+      "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+      "odor_name": "2-methyl butyl acetate",
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+      "split": "calibration",
+      "KC_active": 114,
+      "KC_active_fraction": 0.028051181102362203,
+      "KC_spikes": 117,
+      "KC_first_latency_ms": 18.3,
+      "external_events": 70,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 29980,
+      "requested": 103
+    },
+    {
+      "case": "cal-matched_energy-04-s51102",
+      "mode": "matched_energy",
+      "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+      "odor_name": "2-methyl butyl acetate",
+      "seed": 51102,
+      "split": "calibration",
+      "KC_active": 115,
+      "KC_active_fraction": 0.028297244094488187,
+      "KC_spikes": 118,
+      "KC_first_latency_ms": 21.0,
+      "external_events": 61,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 28419,
+      "requested": 82
+    },
+    {
+      "case": "cal-matched_energy-04-s51103",
+      "mode": "matched_energy",
+      "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+      "odor_name": "2-methyl butyl acetate",
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+      "split": "calibration",
+      "KC_active": 120,
+      "KC_active_fraction": 0.02952755905511811,
+      "KC_spikes": 123,
+      "KC_first_latency_ms": 15.4,
+      "external_events": 61,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 30654,
+      "requested": 101
+    },
+    {
+      "case": "cal-matched_energy-04-s51104",
+      "mode": "matched_energy",
+      "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+      "odor_name": "2-methyl butyl acetate",
+      "seed": 51104,
+      "split": "calibration",
+      "KC_active": 116,
+      "KC_active_fraction": 0.028543307086614175,
+      "KC_spikes": 118,
+      "KC_first_latency_ms": 25.900000000000002,
+      "external_events": 66,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 27572,
+      "requested": 92
+    },
+    {
+      "case": "cal-matched_energy-04-s51105",
+      "mode": "matched_energy",
+      "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+      "odor_name": "2-methyl butyl acetate",
+      "seed": 51105,
+      "split": "calibration",
+      "KC_active": 151,
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+      "KC_spikes": 153,
+      "KC_first_latency_ms": 19.200000000000003,
+      "external_events": 68,
+      "expected_external_events": 102.24432373046875,
+      "total_PN_rate_hz": 1022.4432373046875,
+      "finite": true,
+      "total_spikes": 28208,
+      "requested": 101
+    },
+    {
+      "case": "cal-matched_energy-05-s51101",
+      "mode": "matched_energy",
+      "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+      "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
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+      "split": "calibration",
+      "KC_active": 139,
+      "KC_active_fraction": 0.03420275590551181,
+      "KC_spikes": 142,
+      "KC_first_latency_ms": 14.8,
+      "external_events": 73,
+      "expected_external_events": 102.24431762695312,
+      "total_PN_rate_hz": 1022.4431762695312,
+      "finite": true,
+      "total_spikes": 30908,
+      "requested": 108
+    },
+    {
+      "case": "cal-matched_energy-05-s51102",
+      "mode": "matched_energy",
+      "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+      "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
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+      "split": "calibration",
+      "KC_active": 135,
+      "KC_active_fraction": 0.03321850393700788,
+      "KC_spikes": 139,
+      "KC_first_latency_ms": 13.100000000000001,
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+      "expected_external_events": 102.24431762695312,
+      "total_PN_rate_hz": 1022.4431762695312,
+      "finite": true,
+      "total_spikes": 30790,
+      "requested": 90
+    },
+    {
+      "case": "cal-matched_energy-05-s51103",
+      "mode": "matched_energy",
+      "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+      "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+      "seed": 51103,
+      "split": "calibration",
+      "KC_active": 187,
+      "KC_active_fraction": 0.04601377952755906,
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+      "KC_first_latency_ms": 11.9,
+      "external_events": 60,
+      "expected_external_events": 102.24431762695312,
+      "total_PN_rate_hz": 1022.4431762695312,
+      "finite": true,
+      "total_spikes": 31917,
+      "requested": 94
+    },
+    {
+      "case": "cal-matched_energy-05-s51104",
+      "mode": "matched_energy",
+      "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+      "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+      "seed": 51104,
+      "split": "calibration",
+      "KC_active": 127,
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+      "KC_spikes": 129,
+      "KC_first_latency_ms": 24.1,
+      "external_events": 65,
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+      "total_PN_rate_hz": 1022.4431762695312,
+      "finite": true,
+      "total_spikes": 26847,
+      "requested": 95
+    },
+    {
+      "case": "cal-matched_energy-05-s51105",
+      "mode": "matched_energy",
+      "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+      "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+      "seed": 51105,
+      "split": "calibration",
+      "KC_active": 155,
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+      "KC_spikes": 158,
+      "KC_first_latency_ms": 23.3,
+      "external_events": 76,
+      "expected_external_events": 102.24431762695312,
+      "total_PN_rate_hz": 1022.4431762695312,
+      "finite": true,
+      "total_spikes": 28553,
+      "requested": 107
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+  ],
+  "repeats": [
+    {
+      "case": "cal-physiological-00-s51101",
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+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
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+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
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+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-01-s51101",
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+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
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+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
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+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-02-s51101",
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+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
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+        "apl-drive.float32.npy": true,
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+        "apl-inhibition.float32.npy": true,
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+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
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+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-03-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
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+        "state/g": true,
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+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
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+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-04-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
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+        "apl-drive.float32.npy": true,
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+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-physiological-05-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-00-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
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+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
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+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-01-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-02-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-03-s51101",
+      "pass_all": true,
+      "checks": {
+        "state/step": true,
+        "state/neuron_idx": true,
+        "state/counts": true,
+        "state/v": true,
+        "state/g": true,
+        "state/ref": true,
+        "apl-drive.float32.npy": true,
+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
+        "tick_state_hashes": true,
+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
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+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-04-s51101",
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+        "state/step": true,
+        "state/neuron_idx": true,
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+        "apl-state.float32.npy": true,
+        "apl-inhibition.float32.npy": true,
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+        "queues": true,
+        "requests": true,
+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    },
+    {
+      "case": "cal-matched_energy-05-s51101",
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+        "state/neuron_idx": true,
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+        "apl-inhibition.float32.npy": true,
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+        "apl_component": true,
+        "apl_applied": true,
+        "apl_pending": true,
+        "timing_audit": true
+      },
+      "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+    }
+  ],
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+    },
+    {
+      "case": "cal-physiological-02-s51103",
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+      "apl_delay_steps": 18,
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+    {
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+      "brain_tail_advanced": false
+    },
+    {
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+      "apl_delay_steps": 18,
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+      "generated_applied_pending_bits_exact": true,
+      "pending_generated_count": 18,
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+    {
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+    {
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+      "pending_generated_count": 18,
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+    {
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+    },
+    {
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+      "apl_delay_steps": 18,
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+    {
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+    {
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+    {
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+    {
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/calibration/summary.json b/registry/phase4aj-apl-timing/evidence/calibration/summary.json
new file mode 100644
index 0000000..84d3bd8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/calibration/summary.json
@@ -0,0 +1,9683 @@
+{
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+          "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+          "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+          "seed": 51102,
+          "split": "calibration",
+          "KC_active": 50,
+          "KC_active_fraction": 0.012303149606299213,
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+          "KC_first_latency_ms": 14.100000000000001,
+          "external_events": 65,
+          "expected_external_events": 102.24431762695312,
+          "total_PN_rate_hz": 1022.4431762695312,
+          "finite": true,
+          "total_spikes": 30957,
+          "requested": 90
+        },
+        {
+          "case": "cal-matched_energy-05-s51103",
+          "mode": "matched_energy",
+          "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+          "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+          "seed": 51103,
+          "split": "calibration",
+          "KC_active": 67,
+          "KC_active_fraction": 0.016486220472440943,
+          "KC_spikes": 70,
+          "KC_first_latency_ms": 12.600000000000001,
+          "external_events": 57,
+          "expected_external_events": 102.24431762695312,
+          "total_PN_rate_hz": 1022.4431762695312,
+          "finite": true,
+          "total_spikes": 30326,
+          "requested": 94
+        },
+        {
+          "case": "cal-matched_energy-05-s51104",
+          "mode": "matched_energy",
+          "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+          "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+          "seed": 51104,
+          "split": "calibration",
+          "KC_active": 49,
+          "KC_active_fraction": 0.012057086614173228,
+          "KC_spikes": 52,
+          "KC_first_latency_ms": 24.200000000000003,
+          "external_events": 67,
+          "expected_external_events": 102.24431762695312,
+          "total_PN_rate_hz": 1022.4431762695312,
+          "finite": true,
+          "total_spikes": 26478,
+          "requested": 95
+        },
+        {
+          "case": "cal-matched_energy-05-s51105",
+          "mode": "matched_energy",
+          "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+          "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+          "seed": 51105,
+          "split": "calibration",
+          "KC_active": 63,
+          "KC_active_fraction": 0.015501968503937008,
+          "KC_spikes": 66,
+          "KC_first_latency_ms": 24.200000000000003,
+          "external_events": 68,
+          "expected_external_events": 102.24431762695312,
+          "total_PN_rate_hz": 1022.4431762695312,
+          "finite": true,
+          "total_spikes": 29635,
+          "requested": 107
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+      ],
+      "repeats": [
+        {
+          "case": "cal-physiological-00-s51101",
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+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
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+            "apl-inhibition.float32.npy": true,
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+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
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+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
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+        {
+          "case": "cal-physiological-01-s51101",
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+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
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+            "state/g": true,
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+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
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+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-physiological-02-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
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+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
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+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-physiological-03-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
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+            "apl-drive.float32.npy": true,
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+            "apl-inhibition.float32.npy": true,
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+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
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+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-physiological-04-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
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+            "state/g": true,
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+            "apl-drive.float32.npy": true,
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+            "apl-inhibition.float32.npy": true,
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+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
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+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-physiological-05-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
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+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-00-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
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+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-01-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-02-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
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+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
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+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-03-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
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+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
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+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-04-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
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+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-05-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
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+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        }
+      ],
+      "timing_checks": [
+        {
+          "case": "cal-physiological-00-s51101",
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+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51102",
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+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
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+          "pending_initial_zero_prefix": 0,
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+        },
+        {
+          "case": "cal-physiological-00-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51104",
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+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51104",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51104",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51104",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-04-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-04-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 0,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 0,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
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+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-physiological-02-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-physiological-03-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-physiological-04-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-physiological-05-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-00-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-01-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-02-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-03-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-04-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        },
+        {
+          "case": "cal-matched_energy-05-s51101",
+          "pass_all": true,
+          "checks": {
+            "state/step": true,
+            "state/neuron_idx": true,
+            "state/counts": true,
+            "state/v": true,
+            "state/g": true,
+            "state/ref": true,
+            "apl-drive.float32.npy": true,
+            "apl-state.float32.npy": true,
+            "apl-inhibition.float32.npy": true,
+            "tick_state_hashes": true,
+            "queues": true,
+            "requests": true,
+            "apl_component": true,
+            "apl_applied": true,
+            "apl_pending": true,
+            "timing_audit": true
+          },
+          "scope": "All six state arrays, every tick all-neuron hashes, APL raw float32 traces, queues, requests and APL environment; plus delayed applied h, finite pending tail and timing audit"
+        }
+      ],
+      "timing_checks": [
+        {
+          "case": "cal-physiological-00-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51104",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-00-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51104",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-01-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51104",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-02-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51104",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-03-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-04-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-04-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-04-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-04-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-04-s51104",
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+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-04-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-05-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-05-s51101",
+          "repeat": 1,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-05-s51102",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-05-s51103",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-05-s51104",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-physiological-05-s51105",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-matched_energy-00-s51101",
+          "repeat": 0,
+          "pass_all": true,
+          "apl_delay_steps": 18,
+          "steps": 1000,
+          "generated_applied_pending_bits_exact": true,
+          "pending_generated_count": 18,
+          "pending_initial_zero_prefix": 0,
+          "brain_tail_advanced": false
+        },
+        {
+          "case": "cal-matched_energy-00-s51101",
+          "repeat": 1,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/apl_only/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/apl_only/spec.json
new file mode 100644
index 0000000..f8306e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/apl_only/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "apl_only",
+  "kind": "fixture",
+  "steps": 100,
+  "dt_ms": 0.1,
+  "duration_ms": 10.0,
+  "model": {
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+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
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+    "reset_potential_mv": -52.0,
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+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
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+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/arrival_collision/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/arrival_collision/spec.json
new file mode 100644
index 0000000..ffaeea6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/arrival_collision/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "arrival_collision",
+  "kind": "fixture",
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+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51101/spec.json
new file mode 100644
index 0000000..ecb887f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51101",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51102/spec.json
new file mode 100644
index 0000000..4cb3fc8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51102",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51103/spec.json
new file mode 100644
index 0000000..0652f0d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51103",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51104/spec.json
new file mode 100644
index 0000000..afa2d2e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51104",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51105/spec.json
new file mode 100644
index 0000000..9f6b9ae
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-00-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51105",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51101/spec.json
new file mode 100644
index 0000000..053a1c0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51101",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51102/spec.json
new file mode 100644
index 0000000..eb8b633
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51102",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51103/spec.json
new file mode 100644
index 0000000..e0c9642
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51103",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51104/spec.json
new file mode 100644
index 0000000..e4a49a3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51104",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+  "odor_name": "3-penten-2-one",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51105/spec.json
new file mode 100644
index 0000000..e4792d2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-01-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51105",
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+  "duration_ms": 100.0,
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
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+  "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51101/spec.json
new file mode 100644
index 0000000..a250684
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-02-s51101",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51102/spec.json
new file mode 100644
index 0000000..322510f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-02-s51102",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51103/spec.json
new file mode 100644
index 0000000..aa128f9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-02-s51103",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51104/spec.json
new file mode 100644
index 0000000..92c90fb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-02-s51104",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51105/spec.json
new file mode 100644
index 0000000..b518d8b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-02-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-02-s51105",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51101/spec.json
new file mode 100644
index 0000000..21608f9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-03-s51101",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51102/spec.json
new file mode 100644
index 0000000..3ffda30
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-03-s51102",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51103/spec.json
new file mode 100644
index 0000000..014f83f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-03-s51103",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51104/spec.json
new file mode 100644
index 0000000..ec2a236
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-03-s51104",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "threshold_mv": -45.0,
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
+  "mode": "matched_energy",
+  "seed": 51104,
+  "odor_index": 3,
+  "expected_external_events": 102.24432373046875,
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+  "rate_sum_hz": 1022.4432373046875,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51105/spec.json
new file mode 100644
index 0000000..136b04f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-03-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-03-s51105",
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+  "duration_ms": 100.0,
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
+  "mode": "matched_energy",
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+  "target_count": 44,
+  "rate_sum_hz": 1022.4432373046875,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51101/spec.json
new file mode 100644
index 0000000..79617c7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51101",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "synaptic_delay_ms": 1.8,
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+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+  "odor_name": "2-methyl butyl acetate",
+  "mode": "matched_energy",
+  "seed": 51101,
+  "odor_index": 4,
+  "expected_external_events": 102.24432373046875,
+  "target_count": 48,
+  "rate_sum_hz": 1022.4432373046875,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51102/spec.json
new file mode 100644
index 0000000..fa2e221
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51102",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+  "odor_name": "2-methyl butyl acetate",
+  "mode": "matched_energy",
+  "seed": 51102,
+  "odor_index": 4,
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+  "target_count": 48,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51103/spec.json
new file mode 100644
index 0000000..951a166
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51103",
+  "kind": "calibration",
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+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
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+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+  "odor_name": "2-methyl butyl acetate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51104/spec.json
new file mode 100644
index 0000000..f0c2770
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51104",
+  "kind": "calibration",
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+  "duration_ms": 100.0,
+  "model": {
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+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+  "odor_name": "2-methyl butyl acetate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51105/spec.json
new file mode 100644
index 0000000..f71862e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-04-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51105",
+  "kind": "calibration",
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+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "normalization": 1.0
+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+  "odor_name": "2-methyl butyl acetate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51101/spec.json
new file mode 100644
index 0000000..4e377ad
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51101",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
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+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "matched_energy",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51102/spec.json
new file mode 100644
index 0000000..8467378
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51102",
+  "kind": "calibration",
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+  "duration_ms": 100.0,
+  "model": {
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+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "matched_energy",
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+  "target_count": 48,
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+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51103/spec.json
new file mode 100644
index 0000000..4fd0170
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51103",
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+  "duration_ms": 100.0,
+  "model": {
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+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51104/spec.json
new file mode 100644
index 0000000..e83577e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51104",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
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+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51105/spec.json
new file mode 100644
index 0000000..37e0bb3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-matched_energy-05-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51105",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51101/spec.json
new file mode 100644
index 0000000..bc37abe
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51101",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51102/spec.json
new file mode 100644
index 0000000..f7edf35
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51102",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51103/spec.json
new file mode 100644
index 0000000..a7a40d2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51103",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51104/spec.json
new file mode 100644
index 0000000..52c5cce
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51104",
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+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51105/spec.json
new file mode 100644
index 0000000..d00009c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-00-s51105/spec.json
@@ -0,0 +1,43 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51101/spec.json
new file mode 100644
index 0000000..294a73f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51101/spec.json
@@ -0,0 +1,43 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51102/spec.json
new file mode 100644
index 0000000..d7d6164
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51102/spec.json
@@ -0,0 +1,43 @@
+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+  "odor_name": "3-penten-2-one",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51103/spec.json
new file mode 100644
index 0000000..149d9c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-01-s51103",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+  "odor_name": "3-penten-2-one",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51104/spec.json
new file mode 100644
index 0000000..1ee4b31
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51104/spec.json
@@ -0,0 +1,43 @@
+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51105/spec.json
new file mode 100644
index 0000000..25d321b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-01-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-01-s51105",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51101/spec.json
new file mode 100644
index 0000000..0d612f8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-02-s51101",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51102/spec.json
new file mode 100644
index 0000000..2d19e67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51102/spec.json
@@ -0,0 +1,43 @@
+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51103/spec.json
new file mode 100644
index 0000000..5e2deca
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51103/spec.json
@@ -0,0 +1,43 @@
+{
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+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51104/spec.json
new file mode 100644
index 0000000..15d432f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51104/spec.json
@@ -0,0 +1,43 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51105/spec.json
new file mode 100644
index 0000000..3fd6369
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-02-s51105/spec.json
@@ -0,0 +1,43 @@
+{
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+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51101/spec.json
new file mode 100644
index 0000000..e8d81c8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51101/spec.json
@@ -0,0 +1,43 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51102/spec.json
new file mode 100644
index 0000000..20501cb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-03-s51102",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
+  "mode": "physiological",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51103/spec.json
new file mode 100644
index 0000000..2ec12c5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-03-s51103",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51104/spec.json
new file mode 100644
index 0000000..d708f3f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-03-s51104",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51105/spec.json
new file mode 100644
index 0000000..eefe51c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-03-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-03-s51105",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51101/spec.json
new file mode 100644
index 0000000..4d87ca3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-04-s51101",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+  "odor_name": "2-methyl butyl acetate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51102/spec.json
new file mode 100644
index 0000000..146cef5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-04-s51102",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_name": "2-methyl butyl acetate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51103/spec.json
new file mode 100644
index 0000000..d759ead
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-04-s51103",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51104/spec.json
new file mode 100644
index 0000000..7afa767
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-04-s51104",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51105/spec.json
new file mode 100644
index 0000000..4ea4f2e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-04-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-04-s51105",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "normalization": 1.0
+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51101/spec.json
new file mode 100644
index 0000000..9eeddb4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51101/spec.json
@@ -0,0 +1,43 @@
+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51101,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51102/spec.json
new file mode 100644
index 0000000..239d070
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51102",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51102,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51103/spec.json
new file mode 100644
index 0000000..29376a3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51103",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51103,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51104/spec.json
new file mode 100644
index 0000000..4744e95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51104",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
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+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51104,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51105/spec.json
new file mode 100644
index 0000000..4f93376
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/cal-physiological-05-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51105",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
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+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51105,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/high_fanin/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/high_fanin/spec.json
new file mode 100644
index 0000000..a5779d8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/high_fanin/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "high_fanin",
+  "kind": "fixture",
+  "steps": 400,
+  "dt_ms": 0.1,
+  "duration_ms": 40.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/kc_ref_boundary/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/kc_ref_boundary/spec.json
new file mode 100644
index 0000000..6c606a9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/kc_ref_boundary/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "kc_ref_boundary",
+  "kind": "fixture",
+  "steps": 100,
+  "dt_ms": 0.1,
+  "duration_ms": 10.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/natural_request/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/natural_request/spec.json
new file mode 100644
index 0000000..9c24e19
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/natural_request/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "natural_request",
+  "kind": "fixture",
+  "steps": 100,
+  "dt_ms": 0.1,
+  "duration_ms": 10.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/pn_pulse/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/pn_pulse/spec.json
new file mode 100644
index 0000000..76a2c78
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/pn_pulse/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "pn_pulse",
+  "kind": "fixture",
+  "steps": 300,
+  "dt_ms": 0.1,
+  "duration_ms": 30.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/two_sources/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/two_sources/spec.json
new file mode 100644
index 0000000..79ce78c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/two_sources/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "two_sources",
+  "kind": "fixture",
+  "steps": 300,
+  "dt_ms": 0.1,
+  "duration_ms": 30.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay0/zero/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay0/zero/spec.json
new file mode 100644
index 0000000..11a0b34
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay0/zero/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "zero",
+  "kind": "fixture",
+  "steps": 100,
+  "dt_ms": 0.1,
+  "duration_ms": 10.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 0
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/apl_only/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/apl_only/spec.json
new file mode 100644
index 0000000..e9dd09d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/apl_only/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "apl_only",
+  "kind": "fixture",
+  "steps": 100,
+  "dt_ms": 0.1,
+  "duration_ms": 10.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/arrival_collision/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/arrival_collision/spec.json
new file mode 100644
index 0000000..f8d0a1a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/arrival_collision/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "arrival_collision",
+  "kind": "fixture",
+  "steps": 120,
+  "dt_ms": 0.1,
+  "duration_ms": 12.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
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+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51101/spec.json
new file mode 100644
index 0000000..66f5d79
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51101",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "matched_energy",
+  "seed": 51101,
+  "odor_index": 0,
+  "expected_external_events": 102.24431762695312,
+  "target_count": 48,
+  "rate_sum_hz": 1022.4431762695312,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51102/spec.json
new file mode 100644
index 0000000..13b1590
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51102",
+  "kind": "calibration",
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+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "matched_energy",
+  "seed": 51102,
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+  "target_count": 48,
+  "rate_sum_hz": 1022.4431762695312,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51103/spec.json
new file mode 100644
index 0000000..a942fea
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51103",
+  "kind": "calibration",
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+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "matched_energy",
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+  "target_count": 48,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51104/spec.json
new file mode 100644
index 0000000..8d03cdf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51104",
+  "kind": "calibration",
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+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "matched_energy",
+  "seed": 51104,
+  "odor_index": 0,
+  "expected_external_events": 102.24431762695312,
+  "target_count": 48,
+  "rate_sum_hz": 1022.4431762695312,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51105/spec.json
new file mode 100644
index 0000000..d2b4ef5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-00-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-00-s51105",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "matched_energy",
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+  "target_count": 48,
+  "rate_sum_hz": 1022.4431762695312,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51101/spec.json
new file mode 100644
index 0000000..765d7a5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51101",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+  "odor_name": "3-penten-2-one",
+  "mode": "matched_energy",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51102/spec.json
new file mode 100644
index 0000000..2ec9805
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51102",
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+  "duration_ms": 100.0,
+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+  "odor_name": "3-penten-2-one",
+  "mode": "matched_energy",
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+  "target_count": 55,
+  "rate_sum_hz": 1022.443115234375,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51103/spec.json
new file mode 100644
index 0000000..d12e903
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51103",
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+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+  "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51104/spec.json
new file mode 100644
index 0000000..b2b1b10
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51104",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51105/spec.json
new file mode 100644
index 0000000..7145c9d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-01-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-01-s51105",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51101/spec.json
new file mode 100644
index 0000000..5c2b345
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-02-s51101",
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+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51102/spec.json
new file mode 100644
index 0000000..193f7c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-02-s51102",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51103/spec.json
new file mode 100644
index 0000000..88f0bdc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-02-s51103",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51104/spec.json
new file mode 100644
index 0000000..fde1bad
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51104/spec.json
@@ -0,0 +1,43 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51105/spec.json
new file mode 100644
index 0000000..cafd482
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-02-s51105/spec.json
@@ -0,0 +1,43 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51101/spec.json
new file mode 100644
index 0000000..ca8837c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51101/spec.json
@@ -0,0 +1,43 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51102/spec.json
new file mode 100644
index 0000000..40bfa1e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51102/spec.json
@@ -0,0 +1,43 @@
+{
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+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51103/spec.json
new file mode 100644
index 0000000..c8a31f1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-03-s51103",
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+  "duration_ms": 100.0,
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
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+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51104/spec.json
new file mode 100644
index 0000000..26df584
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-03-s51104",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51105/spec.json
new file mode 100644
index 0000000..8d7544b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-03-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-03-s51105",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51101/spec.json
new file mode 100644
index 0000000..f96f5d7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51101",
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+  "duration_ms": 100.0,
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  },
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+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_name": "2-methyl butyl acetate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51102/spec.json
new file mode 100644
index 0000000..cc421ba
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51102",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51103/spec.json
new file mode 100644
index 0000000..2c48f78
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51103",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51104/spec.json
new file mode 100644
index 0000000..7cd5393
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51104",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51105/spec.json
new file mode 100644
index 0000000..8cdfc88
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-04-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-04-s51105",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51101/spec.json
new file mode 100644
index 0000000..61c1237
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51101",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51102/spec.json
new file mode 100644
index 0000000..5fdd007
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51102",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "threshold_mv": -45.0,
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "matched_energy",
+  "seed": 51102,
+  "odor_index": 5,
+  "expected_external_events": 102.24431762695312,
+  "target_count": 48,
+  "rate_sum_hz": 1022.4431762695312,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51103/spec.json
new file mode 100644
index 0000000..a944f91
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51103",
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+  "duration_ms": 100.0,
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+  },
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "matched_energy",
+  "seed": 51103,
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+  "target_count": 48,
+  "rate_sum_hz": 1022.4431762695312,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51104/spec.json
new file mode 100644
index 0000000..31027fc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51104",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "matched_energy",
+  "seed": 51104,
+  "odor_index": 5,
+  "expected_external_events": 102.24431762695312,
+  "target_count": 48,
+  "rate_sum_hz": 1022.4431762695312,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51105/spec.json
new file mode 100644
index 0000000..7a988f2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-matched_energy-05-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-matched_energy-05-s51105",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "matched_energy",
+  "seed": 51105,
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+  "target_count": 48,
+  "rate_sum_hz": 1022.4431762695312,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51101/spec.json
new file mode 100644
index 0000000..9e9e553
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51101",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "threshold_mv": -45.0,
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "physiological",
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+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51102/spec.json
new file mode 100644
index 0000000..2f11793
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51102",
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+  "dt_ms": 0.1,
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+  "model": {
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+  },
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "physiological",
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+  "target_count": 48,
+  "rate_sum_hz": 1059.0211181640625,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51103/spec.json
new file mode 100644
index 0000000..14b9b0d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51103",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
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+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51103,
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+  "target_count": 48,
+  "rate_sum_hz": 1059.0211181640625,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51104/spec.json
new file mode 100644
index 0000000..ff44a23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51104",
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+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+  },
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51105/spec.json
new file mode 100644
index 0000000..8fd0c32
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-00-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-00-s51105",
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+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+  "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+  "mode": "physiological",
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+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51101/spec.json
new file mode 100644
index 0000000..e61a55e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-01-s51101",
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+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+  "odor_name": "3-penten-2-one",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51102/spec.json
new file mode 100644
index 0000000..ded9f03
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-01-s51102",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "LABTWGUMFABVFG-ARJAWSKDSA-N",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51103/spec.json
new file mode 100644
index 0000000..752a985
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51103/spec.json
@@ -0,0 +1,43 @@
+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51104/spec.json
new file mode 100644
index 0000000..b196da9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-01-s51104",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51105/spec.json
new file mode 100644
index 0000000..5b32ca0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-01-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-01-s51105",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51101/spec.json
new file mode 100644
index 0000000..22c6667
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-02-s51101",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
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+  "odor_id": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51102/spec.json
new file mode 100644
index 0000000..ef9d023
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-02-s51102",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51103/spec.json
new file mode 100644
index 0000000..7e27234
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-02-s51103",
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51104/spec.json
new file mode 100644
index 0000000..faf287c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51104/spec.json
@@ -0,0 +1,43 @@
+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51105/spec.json
new file mode 100644
index 0000000..9a958be
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-02-s51105/spec.json
@@ -0,0 +1,43 @@
+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51101/spec.json
new file mode 100644
index 0000000..68cb785
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51101/spec.json
@@ -0,0 +1,43 @@
+{
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+  "odor_name": "gamma-propyl-gamma-butyrolactone",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51102/spec.json
new file mode 100644
index 0000000..99d07ab
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51102/spec.json
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+{
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51103/spec.json
new file mode 100644
index 0000000..811bac0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51103/spec.json
@@ -0,0 +1,43 @@
+{
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51104/spec.json
new file mode 100644
index 0000000..fd04f1e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51104/spec.json
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+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51105/spec.json
new file mode 100644
index 0000000..bb04359
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-03-s51105/spec.json
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+{
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51101/spec.json
new file mode 100644
index 0000000..55fc031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51101/spec.json
@@ -0,0 +1,43 @@
+{
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51102/spec.json
new file mode 100644
index 0000000..7a0481b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51102/spec.json
@@ -0,0 +1,43 @@
+{
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+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51103/spec.json
new file mode 100644
index 0000000..d5ae725
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51103/spec.json
@@ -0,0 +1,43 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51104/spec.json
new file mode 100644
index 0000000..cdd82cf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51104/spec.json
@@ -0,0 +1,43 @@
+{
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+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
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+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51105/spec.json
new file mode 100644
index 0000000..edbfda7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-04-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-04-s51105",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "synaptic_tau_ms": 5.0,
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+    "threshold_mv": -45.0,
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
+  "odor_name": "2-methyl butyl acetate",
+  "mode": "physiological",
+  "seed": 51105,
+  "odor_index": 4,
+  "expected_external_events": 77.2682861328125,
+  "target_count": 48,
+  "rate_sum_hz": 772.682861328125,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51101/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51101/spec.json
new file mode 100644
index 0000000..f36d9f2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51101/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51101",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51101,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51102/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51102/spec.json
new file mode 100644
index 0000000..d3c8cef
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51102/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51102",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
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+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51102,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51103/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51103/spec.json
new file mode 100644
index 0000000..cfe69c2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51103/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51103",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
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+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51103,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51104/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51104/spec.json
new file mode 100644
index 0000000..780d69f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51104/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51104",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
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+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51104,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51105/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51105/spec.json
new file mode 100644
index 0000000..6b28493
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/cal-physiological-05-s51105/spec.json
@@ -0,0 +1,43 @@
+{
+  "name": "cal-physiological-05-s51105",
+  "kind": "calibration",
+  "steps": 1000,
+  "dt_ms": 0.1,
+  "duration_ms": 100.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
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+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": false,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "odor_id": "OMSUIQOIVADKIM-YFKPBYRVSA-N",
+  "odor_name": "ethyl (S)-(+)-3-hydroxybutanoate",
+  "mode": "physiological",
+  "seed": 51105,
+  "odor_index": 5,
+  "expected_external_events": 174.35963134765626,
+  "target_count": 48,
+  "rate_sum_hz": 1743.5963134765625,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/high_fanin/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/high_fanin/spec.json
new file mode 100644
index 0000000..dbf9d4d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/high_fanin/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "high_fanin",
+  "kind": "fixture",
+  "steps": 400,
+  "dt_ms": 0.1,
+  "duration_ms": 40.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/kc_ref_boundary/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/kc_ref_boundary/spec.json
new file mode 100644
index 0000000..5d2fa09
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/kc_ref_boundary/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "kc_ref_boundary",
+  "kind": "fixture",
+  "steps": 100,
+  "dt_ms": 0.1,
+  "duration_ms": 10.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/natural_request/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/natural_request/spec.json
new file mode 100644
index 0000000..eb95ee8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/natural_request/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "natural_request",
+  "kind": "fixture",
+  "steps": 100,
+  "dt_ms": 0.1,
+  "duration_ms": 10.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/pn_pulse/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/pn_pulse/spec.json
new file mode 100644
index 0000000..f8df451
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/pn_pulse/spec.json
@@ -0,0 +1,35 @@
+{
+  "name": "pn_pulse",
+  "kind": "fixture",
+  "steps": 300,
+  "dt_ms": 0.1,
+  "duration_ms": 30.0,
+  "model": {
+    "dt_ms": 0.1,
+    "membrane_tau_ms": 20.0,
+    "synaptic_tau_ms": 5.0,
+    "refractory_ms": 2.2,
+    "resting_potential_mv": -52.0,
+    "reset_potential_mv": -52.0,
+    "threshold_mv": -45.0,
+    "synaptic_delay_ms": 1.8,
+    "w_syn_mv_per_anatomical_synapse": 0.275
+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
+    "tau_ms": 20.0,
+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+  "output_budget_bytes": 25769803776,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "training": false,
+  "apl_delay_steps": 18
+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/two_sources/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/two_sources/spec.json
new file mode 100644
index 0000000..11b020a
--- /dev/null
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+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/cases/delay18/zero/spec.json b/registry/phase4aj-apl-timing/evidence/cases/delay18/zero/spec.json
new file mode 100644
index 0000000..529857c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/cases/delay18/zero/spec.json
@@ -0,0 +1,35 @@
+{
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+  "duration_ms": 10.0,
+  "model": {
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+  },
+  "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+  "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "apl": {
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+    "gain": 0.01,
+    "normalization": 1.0
+  },
+  "record_history": true,
+  "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+  "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+  "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+  "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
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+  "precision": "float64",
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+}
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diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/apl_only.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/apl_only.json
new file mode 100644
index 0000000..2d7345e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/apl_only.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 2,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 1.5e-323,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 406400,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 2.6e-322,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 4.69e-321,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/apl_only-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "15fe3726f298f2ebcf01f147d8dbd995d41c1e9413138d858f341b8aa0df48bd",
+    "apl-inhibition.float32.npy": "429a69417d057704b5a9364e5dc9968d7a690c83f43b096c9284be47835d4c9f",
+    "apl-state.float32.npy": "15fe3726f298f2ebcf01f147d8dbd995d41c1e9413138d858f341b8aa0df48bd",
+    "state.npz": "0a2750ea21a095925edb6f6642777f204b176eaa717f3b0aa429f0568fb9e809",
+    "summary.json": "e36b5ea75de8ad3a99a2ef8fce530df405850382e9d16df850e6b1e528e5680b"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 100,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 0,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/arrival_collision.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/arrival_collision.json
new file mode 100644
index 0000000..a4090f8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/arrival_collision.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 3,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 240,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.0169758646495657,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 487680,
+      "max_abs_error": 4.8516818562660546e-08,
+      "max_bound_utilization": 6.446459311349652e-05,
+      "max_error_bound": 0.0014135775322797544,
+      "max_relative_error_nonzero_reference": 6.477506295857017e-07,
+      "mean_abs_error": 3.025335278028543e-09,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 240,
+      "max_abs_error": 9.64070396403116e-07,
+      "max_bound_utilization": 5.2935382778105945e-05,
+      "max_error_bound": 0.029058704062549626,
+      "max_relative_error_nonzero_reference": 5.319253846070637e-07,
+      "mean_abs_error": 2.718757893987664e-07,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/arrival_collision-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "5c00bd6558f55c0ac7b2b7dd1a3de32c1b66357de1cec433dc7e6bfb8e6650ec",
+    "apl-inhibition.float32.npy": "04a2f0809f96a13a8e07649f11f546c78e4173583f599f6c8a60109df8d8005a",
+    "apl-state.float32.npy": "fd345540fb68691ab401b60b39daf097ed1e5667c39396575bcd8f33e23e4edf",
+    "state.npz": "1b5d50cfd92a11ccc8217bae24b6899d59d0092a75ddf90e5b74bc21ec31bc98",
+    "summary.json": "be6895a9482a60918a5d04016d26ca75f22fd2c4fcea21cd67cbf29a7e4bdf0a"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 120,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 2,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/cal-matched_energy-00-s51101.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/cal-matched_energy-00-s51101.json
new file mode 100644
index 0000000..e106185
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/cal-matched_energy-00-s51101.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 29518,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 2000,
+      "max_abs_error": 1.1883676052093506e-06,
+      "max_bound_utilization": 1.3425302775238804e-05,
+      "max_error_bound": 0.08851700591819335,
+      "max_relative_error_nonzero_reference": 1.347329858244693e-07,
+      "mean_abs_error": 1.6856938600540162e-08,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 4064000,
+      "max_abs_error": 5.454211202682302e-06,
+      "max_bound_utilization": 9.84223576203938e-05,
+      "max_error_bound": 0.07556047939475269,
+      "max_relative_error_nonzero_reference": 9.900927935120239e-07,
+      "mean_abs_error": 4.106206890725126e-07,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 2000,
+      "max_abs_error": 0.0001467736110498663,
+      "max_bound_utilization": 9.011960851284882e-05,
+      "max_error_bound": 1.7234670898130762,
+      "max_relative_error_nonzero_reference": 9.065433270955913e-07,
+      "mean_abs_error": 3.576079289893559e-05,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/cal-matched_energy-00-s51101-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "664e679a6ff1d0a98a8a9c833b1bc6e5a48556487e2a181dba6a2b7db3c22f47",
+    "apl-inhibition.float32.npy": "5c61b09f281cb180e88f7753df1537790606b8a4d3bd38af6ce47ee73e6723d4",
+    "apl-state.float32.npy": "1912491567db6f8c9ef5d574a80a3a79e9ae22e215d9f027bd22b3afa73be185",
+    "state.npz": "3413e5df842dcae18784eac3fbc3ab2e5e01da74e8285e2fdee10a49f8b9eab9",
+    "summary.json": "5f4d55060ff93570fd48eb996a14bdc177ec9a5101c70ff8deff3be001836194"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 1000,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 11,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/cal-physiological-00-s51101.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/cal-physiological-00-s51101.json
new file mode 100644
index 0000000..bdf5b67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/cal-physiological-00-s51101.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 29938,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 2000,
+      "max_abs_error": 5.327165126800537e-07,
+      "max_bound_utilization": 1.3081829823259631e-05,
+      "max_error_bound": 0.07437045311528964,
+      "max_relative_error_nonzero_reference": 1.312859770571549e-07,
+      "mean_abs_error": 1.6927719116210936e-08,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 4064000,
+      "max_abs_error": 7.491359403921649e-06,
+      "max_bound_utilization": 0.00011989178922831249,
+      "max_error_bound": 0.07492270812507368,
+      "max_relative_error_nonzero_reference": 1.205880367596719e-06,
+      "mean_abs_error": 4.967732996601039e-07,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 2000,
+      "max_abs_error": 0.0001710029721095907,
+      "max_bound_utilization": 0.00010836545907437195,
+      "max_error_bound": 1.7577510177979658,
+      "max_relative_error_nonzero_reference": 1.089951834730382e-06,
+      "mean_abs_error": 4.368356717728657e-05,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/cal-physiological-00-s51101-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "2a492856ea680dd6509ae2e5924228744beb6f37f34c0ac0ec1ef6bdbcb7ec2a",
+    "apl-inhibition.float32.npy": "0227a22a7c8f54321e7f02ef320a3bc22142b7efd63d9fc4a475653c86d4f025",
+    "apl-state.float32.npy": "fcf12e155c5922d0a93d3618205cc4828455e67f805271d8018743fe44c46721",
+    "state.npz": "ea7080a05e476eb987f536ec7fb327dc78f6e2f18a7d6e4cd91601d8446ffeae",
+    "summary.json": "8f3f8b7e7d583b70dc50cb80fa0fc3f469f11015e5f85354dc8f6199d0b08ca3"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 1000,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 10,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/high_fanin.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/high_fanin.json
new file mode 100644
index 0000000..d71a68d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/high_fanin.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 157,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 800,
+      "max_abs_error": 4.887580871582031e-06,
+      "max_bound_utilization": 1.6511086743180562e-05,
+      "max_error_bound": 0.3599287436704336,
+      "max_relative_error_nonzero_reference": 1.6570114308471973e-07,
+      "mean_abs_error": 3.116670995950699e-08,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 1625600,
+      "max_abs_error": 1.2484126887812863e-06,
+      "max_bound_utilization": 8.058559947951667e-05,
+      "max_error_bound": 0.03670469855006011,
+      "max_relative_error_nonzero_reference": 8.123768266382489e-07,
+      "mean_abs_error": 1.3598974519396686e-07,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 800,
+      "max_abs_error": 3.000281999732124e-05,
+      "max_bound_utilization": 7.192595541700556e-05,
+      "max_error_bound": 0.9714612652236844,
+      "max_relative_error_nonzero_reference": 7.250582286303385e-07,
+      "mean_abs_error": 1.1814070948781286e-05,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/high_fanin-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "a4b78272e91043441d6c17b2aa9844122546a0a20332cf37d08f28c324a545fb",
+    "apl-inhibition.float32.npy": "c1950e4c348b57a70516a73fbd7b22cef62de32b2d39ee6bce72605d6768dd50",
+    "apl-state.float32.npy": "951c2cc005cace059b0648d23809566f03a45d3c5e001de9c795fc84c42936b8",
+    "state.npz": "d4408b09e7099f9293340ece2bfd381d5827829e7efb2e27f1ac8de59e70ac40",
+    "summary.json": "2006f60cb8f9573eb679c8ae04e35fc8fcf427182421bc0b05f0c47c2a955114"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 400,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 25,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/kc_ref_boundary.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/kc_ref_boundary.json
new file mode 100644
index 0000000..b7bf94b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/kc_ref_boundary.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 4,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.0440564111223974,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 406400,
+      "max_abs_error": 1.9029258452318842e-07,
+      "max_bound_utilization": 4.4126254222663114e-05,
+      "max_error_bound": 0.005784441916246177,
+      "max_relative_error_nonzero_reference": 4.4317091098579625e-07,
+      "mean_abs_error": 6.804216737954364e-09,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 3.576507783265015e-06,
+      "max_bound_utilization": 3.6536565512615554e-05,
+      "max_error_bound": 0.11890991658573181,
+      "max_relative_error_nonzero_reference": 3.669348968748365e-07,
+      "mean_abs_error": 5.966829373615923e-07,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/kc_ref_boundary-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "87b9b4d999a0ae584aafffbbce8603333b55467122495501a81fd3f396a0de15",
+    "apl-inhibition.float32.npy": "f915b04b78d1660e20f0f97874564454c97dc306a84ae0383cdb09b0ae5bf67f",
+    "apl-state.float32.npy": "db75fd304090f4d00ed3c7e5f80c14be74c0bfc99ac95984a710a3a143ef3625",
+    "state.npz": "cfabddcd199a03da9acb981c3791031d8d5926f244e3d3b5d9556133e4b23868",
+    "summary.json": "4ec5c3563dc0ce38b4bafaea26ef4110eee44146eab91a8f0b432702380a511c"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 100,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 1,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/natural_request.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/natural_request.json
new file mode 100644
index 0000000..db91c3f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/natural_request.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 2,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.0440564111223974,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 406400,
+      "max_abs_error": 2.983958111157925e-08,
+      "max_bound_utilization": 2.592836429347364e-05,
+      "max_error_bound": 0.002143175293067466,
+      "max_relative_error_nonzero_reference": 2.6046869456955393e-07,
+      "mean_abs_error": 1.4655995503399407e-09,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 5.368426725382847e-07,
+      "max_bound_utilization": 1.816095230598335e-05,
+      "max_error_bound": 0.044056937070883116,
+      "max_relative_error_nonzero_reference": 1.824341540183155e-07,
+      "mean_abs_error": 1.2347406080026603e-07,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/natural_request-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "694944eb4e7ede2146035bd4a3725a7ca84b59a2eb499ebab036998fc05c88b4",
+    "apl-inhibition.float32.npy": "6652e316e26fdb7a1089fd8d586eecbb53d9643fa02c2f79722956fb70ce28d2",
+    "apl-state.float32.npy": "1b5d2c9959509781490fd5518682f448eaaafa0737d4de841ea0b816aeac0a11",
+    "state.npz": "770b7e29adbab3d29de20a77c9e3977f0da7d9cf2aaf68f346e1953683fb632c",
+    "summary.json": "e0b6ec4955c9fc2fd0677f460d9f98047163eeda0148a1c160acf399c0e96e5e"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 100,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 1,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/pn_pulse.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/pn_pulse.json
new file mode 100644
index 0000000..abbf05e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/pn_pulse.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 1,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 600,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.021624017139767585,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 1219200,
+      "max_abs_error": 2.5551622206965163e-08,
+      "max_bound_utilization": 8.782876291952778e-05,
+      "max_error_bound": 0.0008170294997358125,
+      "max_relative_error_nonzero_reference": 8.841340802705443e-07,
+      "mean_abs_error": 1.8512844276510413e-09,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 600,
+      "max_abs_error": 6.090067741215677e-07,
+      "max_bound_utilization": 8.10124097075475e-05,
+      "max_error_bound": 0.021624275288781088,
+      "max_relative_error_nonzero_reference": 8.154926639445106e-07,
+      "mean_abs_error": 1.5725084035383974e-07,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/pn_pulse-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "d36ee1bc57cdb36c38fefe93da0493e17dabf899b02b2222468bd67bcad5edf5",
+    "apl-inhibition.float32.npy": "5d3c55e13884d2a86296e3826d4ebab1ca491458fee90cbb11972b0d895c76aa",
+    "apl-state.float32.npy": "b680c32977a56e9551cbebef9c2d14acca31e32f44c6109a7f0b2fa90a9bb63a",
+    "state.npz": "cd3596d06b03fc4702dea4b528c7c704659ff9316e46bdf0b804b6a3ec3b9804",
+    "summary.json": "d38b8ec6ce2630d29016d744b80150c36ff4ee806709c0d222c1109bcc2f0372"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 300,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 1,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/two_sources.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/two_sources.json
new file mode 100644
index 0000000..a7a450e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/two_sources.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 13,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 600,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.0440564111223974,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 1219200,
+      "max_abs_error": 2.626378379222416e-07,
+      "max_bound_utilization": 5.477468793595109e-05,
+      "max_error_bound": 0.008708151261175854,
+      "max_relative_error_nonzero_reference": 5.510089963658295e-07,
+      "mean_abs_error": 1.4450305411278388e-08,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 600,
+      "max_abs_error": 4.6134957809584876e-06,
+      "max_bound_utilization": 4.419862852467115e-05,
+      "max_error_bound": 0.17901217817239432,
+      "max_relative_error_nonzero_reference": 4.44605370798596e-07,
+      "mean_abs_error": 1.2647788049158225e-06,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/two_sources-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "656c1fb8a53ca1ed7c23b31f0b87a394ebca2af6e8be118d2dda6c972a5da180",
+    "apl-inhibition.float32.npy": "c31530f2d09305d73bd37438ca1ed7e1d2b3cedfcfe6e4cced94279377b32081",
+    "apl-state.float32.npy": "919e10a7ccb6c6ff4bd240dfe7a70f654df72068c254c63e67d8ffd6eea1ca03",
+    "state.npz": "ad50b02424e0dda0894e245442ae07ec02f4508ad4110795ebdd146067571975",
+    "summary.json": "54a85f8a3a895858c697d3f5f6cb7d1a2fb48db6ec0629fc25cd73250f7b1e2d"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 300,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 1,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay0/zero.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/zero.json
new file mode 100644
index 0000000..d97a5bb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay0/zero.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 0,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 1.5e-323,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 406400,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 2.6e-322,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 4.69e-321,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay0/zero-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "15fe3726f298f2ebcf01f147d8dbd995d41c1e9413138d858f341b8aa0df48bd",
+    "apl-inhibition.float32.npy": "429a69417d057704b5a9364e5dc9968d7a690c83f43b096c9284be47835d4c9f",
+    "apl-state.float32.npy": "15fe3726f298f2ebcf01f147d8dbd995d41c1e9413138d858f341b8aa0df48bd",
+    "state.npz": "acf8be16ad5ac4fab3a0fb96cd1b322b86cb0089f506f57a7d4a6043f4e18dff",
+    "summary.json": "8ff367a625a8c15a331a6f1cae5fa85ae523f44dd5b906320bb011511d708602"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 100,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 0,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/apl_only.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/apl_only.json
new file mode 100644
index 0000000..902e046
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/apl_only.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 2,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 1.5e-323,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 406400,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 2.6e-322,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 4.69e-321,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/apl_only-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "15fe3726f298f2ebcf01f147d8dbd995d41c1e9413138d858f341b8aa0df48bd",
+    "apl-inhibition.float32.npy": "429a69417d057704b5a9364e5dc9968d7a690c83f43b096c9284be47835d4c9f",
+    "apl-state.float32.npy": "15fe3726f298f2ebcf01f147d8dbd995d41c1e9413138d858f341b8aa0df48bd",
+    "state.npz": "0a2750ea21a095925edb6f6642777f204b176eaa717f3b0aa429f0568fb9e809",
+    "summary.json": "2f1d98d1cf0334fc554a5631fd4a4ed99e2bbca7e02b1789f77b1f37106677f5"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 100,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 0,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/arrival_collision.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/arrival_collision.json
new file mode 100644
index 0000000..a5c07d0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/arrival_collision.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 3,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 240,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.0169758646495657,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 487680,
+      "max_abs_error": 4.8516818562660546e-08,
+      "max_bound_utilization": 6.446459311349652e-05,
+      "max_error_bound": 0.0014135775322797544,
+      "max_relative_error_nonzero_reference": 6.477506295857017e-07,
+      "mean_abs_error": 3.025335278028543e-09,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 240,
+      "max_abs_error": 9.64070396403116e-07,
+      "max_bound_utilization": 5.2935382778105945e-05,
+      "max_error_bound": 0.029058704062549626,
+      "max_relative_error_nonzero_reference": 5.319253846070637e-07,
+      "mean_abs_error": 2.718757893987664e-07,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/arrival_collision-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "5c00bd6558f55c0ac7b2b7dd1a3de32c1b66357de1cec433dc7e6bfb8e6650ec",
+    "apl-inhibition.float32.npy": "04a2f0809f96a13a8e07649f11f546c78e4173583f599f6c8a60109df8d8005a",
+    "apl-state.float32.npy": "fd345540fb68691ab401b60b39daf097ed1e5667c39396575bcd8f33e23e4edf",
+    "state.npz": "214d061f425077623176e00368ce16051d5cb3ffa70e0cef6a0a153d8599d3f0",
+    "summary.json": "6f8d360fb5424f66e9413eace606876b35bafbc02f109a2e4b95668021d0d80f"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 120,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 2,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/cal-matched_energy-00-s51101.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/cal-matched_energy-00-s51101.json
new file mode 100644
index 0000000..a0e46cf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/cal-matched_energy-00-s51101.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 29368,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 2000,
+      "max_abs_error": 4.4330954551696777e-07,
+      "max_bound_utilization": 1.1255846215596215e-05,
+      "max_error_bound": 0.07659348333922923,
+      "max_relative_error_nonzero_reference": 1.1296086159079982e-07,
+      "mean_abs_error": 1.862645149230957e-08,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 4064000,
+      "max_abs_error": 4.445260958441111e-06,
+      "max_bound_utilization": 6.665149070935509e-05,
+      "max_error_bound": 0.07816517227600407,
+      "max_relative_error_nonzero_reference": 6.695233609882282e-07,
+      "mean_abs_error": 2.497939558179807e-07,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 2000,
+      "max_abs_error": 8.397293098028058e-05,
+      "max_bound_utilization": 5.497153936634678e-05,
+      "max_error_bound": 1.7306627481890076,
+      "max_relative_error_nonzero_reference": 5.522214025342151e-07,
+      "mean_abs_error": 2.1755705714919985e-05,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/cal-matched_energy-00-s51101-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "945f263c84f91569984961e9c04bec1b316195bb5a08151119ce4b9c03adfab2",
+    "apl-inhibition.float32.npy": "b6f3741e964b3d57261be82727a08c8555aa1ef3af611dfea1aba20543421ee3",
+    "apl-state.float32.npy": "d3c52200188a64b9b7dc5054c9a6199a4cd4a9168369f051b6de2d764442e64b",
+    "state.npz": "17f9aa5c6748b0dc028c551ae6c91edaeea40b8d7561656a0936ff716ca74f0b",
+    "summary.json": "e60254d3282953bb1ca5fca775e328f49fe426ee66a2707c77a2d42933feef5c"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 1000,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 8,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/cal-physiological-00-s51101.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/cal-physiological-00-s51101.json
new file mode 100644
index 0000000..cfdc4d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/cal-physiological-00-s51101.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 29672,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 2000,
+      "max_abs_error": 3.5762786865234375e-07,
+      "max_bound_utilization": 1.1129652859651151e-05,
+      "max_error_bound": 0.06850973674407951,
+      "max_relative_error_nonzero_reference": 1.1169441658599537e-07,
+      "mean_abs_error": 1.7873942852020264e-08,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 4064000,
+      "max_abs_error": 5.347266883504176e-06,
+      "max_bound_utilization": 7.933359526698304e-05,
+      "max_error_bound": 0.07767639555002429,
+      "max_relative_error_nonzero_reference": 7.980238963080976e-07,
+      "mean_abs_error": 3.382391482195504e-07,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 2000,
+      "max_abs_error": 0.0001079866522957218,
+      "max_bound_utilization": 6.987172912306554e-05,
+      "max_error_bound": 1.753313621761298,
+      "max_relative_error_nonzero_reference": 7.028256069891883e-07,
+      "mean_abs_error": 2.949250549552969e-05,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/cal-physiological-00-s51101-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "383cafd480aadca9ca7b04810087a1865f941c3ecf3429cc9133ce8dedbdd7fc",
+    "apl-inhibition.float32.npy": "3bf68b8939f54fdbda273803ff19d3b77b602ea63e1d8edb0a4528c3c9f69233",
+    "apl-state.float32.npy": "39358239cc58666ef5c690111150cb08cb4fee7b1f2c85ef59f8063e00d7e698",
+    "state.npz": "86c2607df55271e573c942c630f0d99488417ad823fb3b0e0936aa2db32d5418",
+    "summary.json": "06a5a44556479edf2f0383a79308a8e7bc66d1774c99706c88b6c4efd89e5193"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 1000,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 8,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/high_fanin.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/high_fanin.json
new file mode 100644
index 0000000..c02f7f6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/high_fanin.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 157,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 800,
+      "max_abs_error": 4.887580871582031e-06,
+      "max_bound_utilization": 1.6511086743180562e-05,
+      "max_error_bound": 0.3599287436704336,
+      "max_relative_error_nonzero_reference": 1.6570114308471973e-07,
+      "mean_abs_error": 3.116670995950699e-08,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 1625600,
+      "max_abs_error": 1.2484126887812863e-06,
+      "max_bound_utilization": 8.058559947951667e-05,
+      "max_error_bound": 0.03670469855006011,
+      "max_relative_error_nonzero_reference": 8.123768266382489e-07,
+      "mean_abs_error": 1.3598974519396686e-07,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 800,
+      "max_abs_error": 3.000281999732124e-05,
+      "max_bound_utilization": 7.192595541700556e-05,
+      "max_error_bound": 0.9714612652236844,
+      "max_relative_error_nonzero_reference": 7.250582286303385e-07,
+      "mean_abs_error": 1.1814070948781286e-05,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/high_fanin-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "a4b78272e91043441d6c17b2aa9844122546a0a20332cf37d08f28c324a545fb",
+    "apl-inhibition.float32.npy": "c1950e4c348b57a70516a73fbd7b22cef62de32b2d39ee6bce72605d6768dd50",
+    "apl-state.float32.npy": "951c2cc005cace059b0648d23809566f03a45d3c5e001de9c795fc84c42936b8",
+    "state.npz": "6e3b6d39a29961806d6af1b05ff35b02864abbf3e52e36fea2ff27fb23fcb767",
+    "summary.json": "4dc17264a7e03f3e7a90b3ebdc3d938227afb45ecee626e32f1da719662108ea"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 400,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 25,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/kc_ref_boundary.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/kc_ref_boundary.json
new file mode 100644
index 0000000..18770d8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/kc_ref_boundary.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 4,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.0440564111223974,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 406400,
+      "max_abs_error": 1.9029258452318842e-07,
+      "max_bound_utilization": 4.4126254222663114e-05,
+      "max_error_bound": 0.005784441916246177,
+      "max_relative_error_nonzero_reference": 4.4317091098579625e-07,
+      "mean_abs_error": 6.804216737954364e-09,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 3.576507783265015e-06,
+      "max_bound_utilization": 3.6536565512615554e-05,
+      "max_error_bound": 0.11890991658573181,
+      "max_relative_error_nonzero_reference": 3.669348968748365e-07,
+      "mean_abs_error": 5.966829373615923e-07,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/kc_ref_boundary-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "87b9b4d999a0ae584aafffbbce8603333b55467122495501a81fd3f396a0de15",
+    "apl-inhibition.float32.npy": "f915b04b78d1660e20f0f97874564454c97dc306a84ae0383cdb09b0ae5bf67f",
+    "apl-state.float32.npy": "db75fd304090f4d00ed3c7e5f80c14be74c0bfc99ac95984a710a3a143ef3625",
+    "state.npz": "c16bc54b5422995b196d928aeba56a0a123c72f29ca4327b3c72d4c1ed915e3a",
+    "summary.json": "d476e6e40a87c3590bc42d40eaf00142ee0e217e234b6e63eb64695a295b67be"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 100,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 1,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/natural_request.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/natural_request.json
new file mode 100644
index 0000000..fb70239
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/natural_request.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 2,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.0440564111223974,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 406400,
+      "max_abs_error": 2.983958111157925e-08,
+      "max_bound_utilization": 2.592836429347364e-05,
+      "max_error_bound": 0.002143175293067466,
+      "max_relative_error_nonzero_reference": 2.6046869456955393e-07,
+      "mean_abs_error": 1.4655995503399407e-09,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 5.368426725382847e-07,
+      "max_bound_utilization": 1.816095230598335e-05,
+      "max_error_bound": 0.044056937070883116,
+      "max_relative_error_nonzero_reference": 1.824341540183155e-07,
+      "mean_abs_error": 1.2347406080026603e-07,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/natural_request-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "694944eb4e7ede2146035bd4a3725a7ca84b59a2eb499ebab036998fc05c88b4",
+    "apl-inhibition.float32.npy": "6652e316e26fdb7a1089fd8d586eecbb53d9643fa02c2f79722956fb70ce28d2",
+    "apl-state.float32.npy": "1b5d2c9959509781490fd5518682f448eaaafa0737d4de841ea0b816aeac0a11",
+    "state.npz": "cc0e6734e52f7c92955ea0814d318093d0ea90feda6ee31feb6a4937f2403b75",
+    "summary.json": "b4ac8dae43cfb2aa0e03f5bf503bccbf227d95352cb3823b46e402224d34ac6d"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 100,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 1,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/pn_pulse.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/pn_pulse.json
new file mode 100644
index 0000000..279e1ae
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/pn_pulse.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 1,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 600,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.021624017139767585,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 1219200,
+      "max_abs_error": 2.5551622206965163e-08,
+      "max_bound_utilization": 8.782876291952778e-05,
+      "max_error_bound": 0.0008170294997358125,
+      "max_relative_error_nonzero_reference": 8.841340802705443e-07,
+      "mean_abs_error": 1.8512844276510413e-09,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 600,
+      "max_abs_error": 6.090067741215677e-07,
+      "max_bound_utilization": 8.10124097075475e-05,
+      "max_error_bound": 0.021624275288781088,
+      "max_relative_error_nonzero_reference": 8.154926639445106e-07,
+      "mean_abs_error": 1.5725084035383974e-07,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/pn_pulse-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "d36ee1bc57cdb36c38fefe93da0493e17dabf899b02b2222468bd67bcad5edf5",
+    "apl-inhibition.float32.npy": "5d3c55e13884d2a86296e3826d4ebab1ca491458fee90cbb11972b0d895c76aa",
+    "apl-state.float32.npy": "b680c32977a56e9551cbebef9c2d14acca31e32f44c6109a7f0b2fa90a9bb63a",
+    "state.npz": "c032df090d24a764d706eec1120e424efdc9ca432f734be3139af7f9459c5e29",
+    "summary.json": "3d442c599d843271184dcd2bee3cb438d9e24a48c3e7905d4176b9118eb5ba72"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 300,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 1,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/two_sources.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/two_sources.json
new file mode 100644
index 0000000..00da10e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/two_sources.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 13,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 600,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 0.0440564111223974,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 1219200,
+      "max_abs_error": 2.626378379222416e-07,
+      "max_bound_utilization": 5.477468793595109e-05,
+      "max_error_bound": 0.008708151261175854,
+      "max_relative_error_nonzero_reference": 5.510089963658295e-07,
+      "mean_abs_error": 1.4450305411278388e-08,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 600,
+      "max_abs_error": 4.6134957809584876e-06,
+      "max_bound_utilization": 4.419862852467115e-05,
+      "max_error_bound": 0.17901217817239432,
+      "max_relative_error_nonzero_reference": 4.44605370798596e-07,
+      "mean_abs_error": 1.2647788049158225e-06,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/two_sources-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "656c1fb8a53ca1ed7c23b31f0b87a394ebca2af6e8be118d2dda6c972a5da180",
+    "apl-inhibition.float32.npy": "c31530f2d09305d73bd37438ca1ed7e1d2b3cedfcfe6e4cced94279377b32081",
+    "apl-state.float32.npy": "919e10a7ccb6c6ff4bd240dfe7a70f654df72068c254c63e67d8ffd6eea1ca03",
+    "state.npz": "821731ef22b144aadf9480764089f9018a0965791727bb17315a6cd6ebdb63a9",
+    "summary.json": "2ce84367efe5c0f5bde6e1357df8079cbd5069f5a87f0e833fea07a2678ab59f"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 300,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 1,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/component-audit/delay18/zero.json b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/zero.json
new file mode 100644
index 0000000..70fa3d1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/component-audit/delay18/zero.json
@@ -0,0 +1,151 @@
+{
+  "actual_spike_events": 0,
+  "ast_replay_bitwise_exact": {
+    "drive": true,
+    "inhibition": true,
+    "state": true
+  },
+  "brain_or_learning_parameters_changed": false,
+  "bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+  "bundle_sha256": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "apl_out_ids.npy": "51e2cb25752d8eaa3ab1950fdd4ae9580f71644b8d435f875abb63efa6ab344c",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "input_raw.npy": "6da61bb9db93e11c687632f8ae7a5ffec3734d506b790f40c38da16c7e6d1028",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "output_raw.npy": "a142a2b49b070d1a03c8ba4b7fa53fa97fa3005ad70326e0a93204570e5beea1",
+    "pn_globals.npy": "ed574f42559455069679f8ce3b339395efa9398ec13e199eab47959533370805",
+    "provenance.json": "c3441f8424032f6f9c28aa19370928407c46eaea942eb7581a77214ed38bf57e",
+    "scales.json": "fe2decd3949f73006966227cd6a1c4a7d43885f977311ffabb9ababdedd44daa"
+  },
+  "candidate_function_called": false,
+  "canonical_sha256": {
+    "indices": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "indptr": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "metadata": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63",
+    "raw": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "environment": {
+    "cuda": "13.0",
+    "cuda_matmul_allow_tf32": false,
+    "deterministic_algorithms": false,
+    "float32_matmul_precision": "highest",
+    "gpu": "NVIDIA GeForce RTX 4090",
+    "numpy": "2.2.6",
+    "precision_flags_changed": false,
+    "torch": "2.14.0+cu130"
+  },
+  "extracted_source": {
+    "decay_line": 126,
+    "decay_source": "apl_decay = np.float32(math.exp(-self.dt / 20.0))",
+    "excluded_self_base_line": 83,
+    "inhibition_line": 154,
+    "inhibition_source": "inhibition = torch.matmul(apl_state, self.output_gpu) * np.float32(0.01)",
+    "initializer_line_end": 82,
+    "initializer_line_start": 55,
+    "initializer_source": "self.rt = rt\nself.n = rt.n\nself.device = rt.device\nself.dt = rt.dt\nmeta = rt.table.to_pandas().sort_values(\"neuron_idx\").reset_index(drop=True)\nself.meta = meta\ncls = meta.annotation_class.fillna(\"\").astype(str).to_numpy()\ntyp = meta.annotation_type.fillna(\"\").astype(str).to_numpy()\nself.kc = np.flatnonzero(cls == \"Kenyon_Cell\").astype(np.int32)\nself.mbon = np.flatnonzero(cls == \"MBON\").astype(np.int32)\nself.pn = np.flatnonzero(cls == \"ALPN\").astype(np.int32)\nself.apl = np.flatnonzero(typ == \"APL\").astype(np.int32)\nif len(self.apl) != 2 or len(self.kc) != 4064: raise RuntimeError(\"frozen APL/KC identity changed\")\nself.sources = np.repeat(np.arange(self.n, dtype=np.int32), np.diff(rt.indptr_np).astype(np.int64))\nidx = rt.indices_np\nraw = rt.raw_np\napl_out = np.isin(self.sources, self.apl)\nself.apl_out_ids = np.flatnonzero(apl_out).astype(np.int64)\ninput_matrix = np.zeros((len(self.apl), self.n), np.float32)\noutput_matrix = np.zeros((len(self.apl), len(self.kc)), np.float32)\nkc_lookup = np.full(self.n, -1, np.int32)\nkc_lookup[self.kc] = np.arange(len(self.kc), dtype=np.int32)\nallowed = np.isin(self.sources, np.concatenate((self.kc, self.pn))) & np.isin(idx, self.apl)\napl_lookup = {int(x): i for i, x in enumerate(self.apl)}\nfor eid in np.flatnonzero(allowed): input_matrix[apl_lookup[int(idx[eid])], int(self.sources[eid])] += float(raw[eid])\nfor eid in np.flatnonzero(apl_out & np.isin(idx, self.kc)):\n            output_matrix[apl_lookup[int(self.sources[eid])], kc_lookup[int(idx[eid])]] += float(raw[eid])\nself.input_scale = float(input_matrix[input_matrix > 0].sum() / np.count_nonzero(np.any(input_matrix > 0, axis=0)))\nself.output_scale = float(output_matrix[output_matrix > 0].mean())\nself.input_gpu = torch.as_tensor(input_matrix / self.input_scale, dtype=torch.float32, device=self.device)\nself.output_gpu = torch.as_tensor(output_matrix / self.output_scale, dtype=torch.float32, device=self.device)\nself.kc_gpu = torch.as_tensor(self.kc, dtype=torch.int64, device=self.device)\nself.apl_out_gpu = torch.as_tensor(self.apl_out_ids, dtype=torch.int64, device=self.device)",
+    "learning_initializer_suffix_executed": false,
+    "original_run_loop_executed": false,
+    "sha256": "c7e693a2da70acdce4f53af5c2853e52e8333acc93f88a46a5e8083eac639346",
+    "source": "/data/digital-drosophila/models/male-cns-lif/deterministic-runtime-v2/phase4p_revalidate.py",
+    "state_update_line": 153,
+    "state_update_source": "apl_state.mul_(float(apl_decay)).add_(torch.mv(self.input_gpu, self.rt.spike_u8.to(torch.float32)))"
+  },
+  "first_ast_difference": null,
+  "float64_measurement": {
+    "drive": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 1.5e-323,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "inhibition": {
+      "bound_violations": 0,
+      "elements": 406400,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 2.6e-322,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    },
+    "state": {
+      "bound_violations": 0,
+      "elements": 200,
+      "max_abs_error": 0.0,
+      "max_bound_utilization": 0.0,
+      "max_error_bound": 4.69e-321,
+      "max_relative_error_nonzero_reference": 0.0,
+      "mean_abs_error": 0.0,
+      "zero_reference_nonzero_actual": 0
+    }
+  },
+  "gain_f32_bits": "3c23d70a",
+  "gpu_case_dir": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu/delay18/zero-r0",
+  "independent_cpu_closed_loop_oracle": false,
+  "input_sha256": {
+    "apl-drive.float32.npy": "15fe3726f298f2ebcf01f147d8dbd995d41c1e9413138d858f341b8aa0df48bd",
+    "apl-inhibition.float32.npy": "429a69417d057704b5a9364e5dc9968d7a690c83f43b096c9284be47835d4c9f",
+    "apl-state.float32.npy": "15fe3726f298f2ebcf01f147d8dbd995d41c1e9413138d858f341b8aa0df48bd",
+    "state.npz": "acf8be16ad5ac4fab3a0fb96cd1b322b86cb0089f506f57a7d4a6043f4e18dff",
+    "summary.json": "ea221914d575d7701ece30b1c0268dd6510572a4cdcd88cbae04885d6d130743"
+  },
+  "limitations": [
+    "AST shadow and candidate use the same original Torch/CUDA primitives; this validates preserved component semantics, not an independent CPU whole-brain oracle.",
+    "Float64 is a non-feedback mathematical measurement with explicit gamma error bounds, not replacement APL dynamics.",
+    "Replay uses the recorded actual spike train; it does not establish equivalence for untested closed-loop inputs.",
+    "The N-1 positive-sum bound is deliberately conservative; passing it does not prove physiological validity or learning."
+  ],
+  "matrix_checks": {
+    "apl_globals": true,
+    "apl_out_ids": true,
+    "input_matrix": true,
+    "input_raw": true,
+    "input_scale": true,
+    "kc_globals": true,
+    "output_matrix": true,
+    "output_raw": true,
+    "output_scale": true,
+    "pn_globals": true
+  },
+  "pass_all": true,
+  "reconstructed_array_sha256": {
+    "apl_globals": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+    "apl_out_ids": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+    "input_matrix": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "input_raw": "a7153b9a7c7cdc2700bd97f9ed96c7402c360172ebb739099303d057c9bbea11",
+    "kc_globals": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "output_raw": "2a3e4f18ac86c6d557f5dc85b6f99060fc1bd2d4c0c53241714acc2aee24dc0e",
+    "pn_globals": "56c4eb47cb535fcf990017b13a29d026f91a28397e6c206bd24a99598d2588ff"
+  },
+  "scope": "Frozen APL component extraction and recorded-spike replay only",
+  "steps": 100,
+  "theoretical_bound": {
+    "applicable": true,
+    "assumptions": "nonnegative f32 matrices, spikes exactly 0/1, fixed stored f32 decay/gain, normal finite RN binary32/64 operations; no reduced-precision matmul",
+    "bound_arithmetic": "Each positive bound operation is rounded toward +infinity via nextafter; denominator toward -infinity",
+    "drive_n": 166699,
+    "f64_values_used_to_drive_brain": false,
+    "gamma_definition": "gamma_n=(n*u)/(1-n*u), upward-rounded; u32=2^-24,u64=2^-53",
+    "gamma_drive_f32": 0.010035750241849791,
+    "gamma_drive_f64": 1.8507306798541427e-11,
+    "max_observed_nonzero_drive_terms": 0,
+    "no_cpu_gpu_bitwise_expectation_for_f64_measurement": true,
+    "normal_or_zero_arithmetic": true,
+    "output_bound": "q*sum(B*E_p) + gamma_(2*A+1),p*q*sum(B*abs(s_p)); compare with E32+E64",
+    "state_recurrence": "E_p[t] <= d*E_p[t-1] + gamma_2,p*(d*abs(s_p[t-1])+D_upper) + (1+u_p)*gamma_(N-1),p*D_upper",
+    "tolerance_fitted_to_observed_error": false
+  },
+  "value_units": {
+    "drive": "legacy normalized-contact spike drive",
+    "inhibition": "legacy mV",
+    "state": "legacy normalized-drive accumulator"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu-reference/extension.json b/registry/phase4aj-apl-timing/evidence/gpu-reference/extension.json
new file mode 100644
index 0000000..7b576ba
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu-reference/extension.json
@@ -0,0 +1,17 @@
+{
+  "binary": "/data/digital-drosophila/experiments/phase4aj-apl-timing/gpu-reference/extension-build/male_cns_lif_deterministic_v2_ext.so",
+  "binary_sha256": "70c2cd712b4335618298ffc75f4a7b6d5788481c900bf5a7085b1432ac664932",
+  "build_seconds": 54.76300562100005,
+  "flags": {
+    "cuda": [
+      "-O3",
+      "--fmad=false",
+      "-std=c++20"
+    ],
+    "cxx": [
+      "-O3",
+      "-ffp-contract=off"
+    ]
+  },
+  "status": "PASS"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/apl-timing-audit.json
new file mode 100644
index 0000000..c8b7306
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 100,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 100,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/requests.csv
new file mode 100644
index 0000000..8eafc67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/requests.csv
@@ -0,0 +1,3 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,502,1,1,0
+0,904,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/summary.json
new file mode 100644
index 0000000..07e3309
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r0/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "apl_only",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 100,
+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
+  "total_spikes": 2,
+  "requested": 2,
+  "accepted_requests": 2,
+  "rejected_requests": 0,
+  "arriving_edges": 50,
+  "accepted_arriving_edges": 47,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
+  "kc_targets_present": 20,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
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+    "protocol": "phase4ag-apl-v1",
+    "n_neurons": 166700,
+    "n_apl": 2,
+    "n_kc": 4064,
+    "dt_ms": 0.1,
+    "files_sha256": {
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+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+    },
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+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+        9
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+      "cuda_matmul_allow_tf32": false,
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+      "float32_matmul_precision": "highest",
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "precision_configuration_changed_by_component": false
+    },
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "h_units": "legacy mV",
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+  },
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+  "apl_delay_steps": 0,
+  "apl_timing": {
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+    "initial_padding_positive_zero": true,
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+    "generated_rows": 100,
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+    "pending_application_tick_stop_exclusive": 100,
+    "pending_generated_tick_start": 100,
+    "pending_generated_tick_stop_exclusive": 100,
+    "generated_trace": "apl-inhibition.float32.npy",
+    "applied_trace": "apl-applied.float32.npy",
+    "pending_trace": "apl-pending-tail.float32.npy",
+    "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+      0
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+    "final_apl_state_nonzero": false,
+    "pending_queue_drained": true,
+    "finite_generated_sequence_only": true,
+    "future_apl_decay_or_feedback_generated": false,
+    "closed_loop_branch_integrals_claimed_equal": false,
+    "biological_delay_measurement_claimed": false
+  },
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+    "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
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+  "build": {
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+    "torch": "2.14.0+cu130",
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+    "arch_list": "8.9",
+    "cuda_flags": [
+      "-O2",
+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
+      "--prec-sqrt=true"
+    ]
+  },
+  "sealed_ae_backend_sha256": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+  "shared_apl_component_oracle_limitation": true,
+  "oracle_validation_claim": false,
+  "learning": false,
+  "performance_runtime_claim": false,
+  "cpu_sync_each_tick": true,
+  "build_or_cache_seconds": 0.1626761939987773,
+  "diagnostic_simulation_seconds": 0.33752113100126735,
+  "wall_seconds": 0.7324123620019236,
+  "peak_allocated_vram_bytes": 10754560,
+  "peak_reserved_vram_bytes": 23068672,
+  "input_sha256": {
+    "spec.json": "e0d6a0b41c13b8afd8a448bb92a9a0bd35c5bbc7f2c175c8ffd5242dded95ddc",
+    "requests.npz": "6b633838a29f5aee68f83e7fe97e95e5cf15063280a639114d404afb4dd5cbe8",
+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/apl-timing-audit.json
new file mode 100644
index 0000000..c8b7306
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 100,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 100,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/requests.csv
new file mode 100644
index 0000000..8eafc67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/requests.csv
@@ -0,0 +1,3 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,502,1,1,0
+0,904,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/summary.json
new file mode 100644
index 0000000..d655ae2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+  "complete": true,
+  "pass_all": true,
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+  "precision": "float64",
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+  "counts_match_sparse_events": true,
+  "all_finite": true,
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+  "gain_f32_bits": "3c23d70a",
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/apl-timing-audit.json
new file mode 100644
index 0000000..c8b7306
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 100,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 100,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/requests.csv
new file mode 100644
index 0000000..8eafc67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/requests.csv
@@ -0,0 +1,3 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,502,1,1,0
+0,904,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/summary.json
new file mode 100644
index 0000000..2633da5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/apl_only-r2/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "apl_only",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 100,
+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
+  "total_spikes": 2,
+  "requested": 2,
+  "accepted_requests": 2,
+  "rejected_requests": 0,
+  "arriving_edges": 50,
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+  "counts_match_sparse_events": true,
+  "all_finite": true,
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+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
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+    "n_neurons": 166700,
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+    "n_kc": 4064,
+    "dt_ms": 0.1,
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+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+      "float32_matmul_precision": "highest",
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "precision_configuration_changed_by_component": false
+    },
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros"
+  },
+  "apl_schedule": "end, after threshold/reset and guarded arrivals, unconditional all KC",
+  "apl_si_conversion": "applied h32 -> float64 -> multiply float64 0.001 -> separate float64 subtraction",
+  "apl_delay_steps": 0,
+  "apl_timing": {
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/apl-timing-audit.json
new file mode 100644
index 0000000..3e6e5d4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/requests.csv
new file mode 100644
index 0000000..a9048c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/requests.csv
@@ -0,0 +1,5 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,71,1,1,0
+0,38891,1,1,0
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+21,38891,1,0,1
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/summary.json
new file mode 100644
index 0000000..d2e02aa
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+    "cuda_matmul_allow_tf32": false,
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
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+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/apl-timing-audit.json
new file mode 100644
index 0000000..3e6e5d4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 120,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
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+  "generated_rows": 120,
+  "applied_generated_rows": 120,
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+  "pending_application_tick_stop_exclusive": 120,
+  "pending_generated_tick_start": 120,
+  "pending_generated_tick_stop_exclusive": 120,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    1.7472392320632935,
+    0.02430599182844162
+  ],
+  "final_apl_state_u32_bits": [
+    1071621513,
+    1019682140
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/requests.csv
new file mode 100644
index 0000000..a9048c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/requests.csv
@@ -0,0 +1,5 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,71,1,1,0
+0,38891,1,1,0
+18,88824,1,1,0
+21,38891,1,0,1
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/summary.json
new file mode 100644
index 0000000..7f4817e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+    "numpy": "2.2.6",
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+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/apl-timing-audit.json
new file mode 100644
index 0000000..3e6e5d4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 120,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 120,
+  "applied_generated_rows": 120,
+  "pending_shape": [
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+  ],
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+  "pending_application_tick_stop_exclusive": 120,
+  "pending_generated_tick_start": 120,
+  "pending_generated_tick_stop_exclusive": 120,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+  "final_apl_state_u32_bits": [
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+    1019682140
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/requests.csv
new file mode 100644
index 0000000..a9048c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/requests.csv
@@ -0,0 +1,5 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,71,1,1,0
+0,38891,1,1,0
+18,88824,1,1,0
+21,38891,1,0,1
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/summary.json
new file mode 100644
index 0000000..a2c6889
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/arrival_collision-r2/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "arrival_collision",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 120,
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..0aa6b39
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/requests.csv
new file mode 100644
index 0000000..dc2f41c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/summary.json
new file mode 100644
index 0000000..efd4e3a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..0aa6b39
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/requests.csv
new file mode 100644
index 0000000..dc2f41c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/summary.json
new file mode 100644
index 0000000..58663bc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..a69afc2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/requests.csv
new file mode 100644
index 0000000..e3aa34c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/summary.json
new file mode 100644
index 0000000..92bc119
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51102-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..23ee8df
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/requests.csv
new file mode 100644
index 0000000..7099def
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/summary.json
new file mode 100644
index 0000000..a1e050a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..694b637
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "applied_trace": "apl-applied.float32.npy",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/requests.csv
new file mode 100644
index 0000000..a2934db
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/summary.json
new file mode 100644
index 0000000..e4db1da
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..4c97415
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/requests.csv
new file mode 100644
index 0000000..19fdaa0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/summary.json
new file mode 100644
index 0000000..a242b0a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-00-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+    "float32_matmul_precision": "highest",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..63252f4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/requests.csv
new file mode 100644
index 0000000..ed10d5a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/requests.csv
@@ -0,0 +1,115 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/summary.json
new file mode 100644
index 0000000..6fb1738
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..63252f4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/requests.csv
new file mode 100644
index 0000000..ed10d5a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/summary.json
new file mode 100644
index 0000000..34c0fd9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..f623cec
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_rows": 1000,
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/requests.csv
new file mode 100644
index 0000000..98b5af0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/requests.csv
@@ -0,0 +1,96 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/summary.json
new file mode 100644
index 0000000..f6d3cb2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
+  "case": "cal-matched_energy-01-s51102",
+  "complete": true,
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+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "nodes": 166700,
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+  "precision": "float64",
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+  "state_units": "SI volts",
+  "total_spikes": 30929,
+  "requested": 95,
+  "accepted_requests": 63,
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+  "arriving_edges": 14788490,
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+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": false,
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..48845c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/requests.csv
new file mode 100644
index 0000000..8cc30a8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/summary.json
new file mode 100644
index 0000000..26b6d4d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51103-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..4ba0969
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/requests.csv
new file mode 100644
index 0000000..9a58cde
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/summary.json
new file mode 100644
index 0000000..7083a29
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51104-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..ed0cab2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+  "applied_trace": "apl-applied.float32.npy",
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/requests.csv
new file mode 100644
index 0000000..b71717c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/summary.json
new file mode 100644
index 0000000..a04d12b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-01-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..de73942
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/requests.csv
new file mode 100644
index 0000000..c30ce8e
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/summary.json
new file mode 100644
index 0000000..320d1ea
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..de73942
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/requests.csv
new file mode 100644
index 0000000..c30ce8e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/summary.json
new file mode 100644
index 0000000..9994c7b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..70941c7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_initial_zero_prefix": 0,
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+  "sample_bits_preserved": true,
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+  "generated_rows": 1000,
+  "applied_generated_rows": 1000,
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+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/requests.csv
new file mode 100644
index 0000000..c179180
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/requests.csv
@@ -0,0 +1,93 @@
+tick,neuron_idx,attempted,accepted,rejected
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/summary.json
new file mode 100644
index 0000000..c5c5911
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "module_globals_patched": false,
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+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+    "float32_matmul_precision": "highest",
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+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..c2e1fa0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/requests.csv
new file mode 100644
index 0000000..e2b6a0e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/requests.csv
@@ -0,0 +1,82 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/summary.json
new file mode 100644
index 0000000..d109733
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..bd6341f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/requests.csv
new file mode 100644
index 0000000..3d7487c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/summary.json
new file mode 100644
index 0000000..72e0686
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..46c9658
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/requests.csv
new file mode 100644
index 0000000..a2161dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/summary.json
new file mode 100644
index 0000000..de0f6e6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-02-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..0a6a64a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/requests.csv
new file mode 100644
index 0000000..8c859f9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/summary.json
new file mode 100644
index 0000000..c5a1116
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..0a6a64a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/requests.csv
new file mode 100644
index 0000000..8c859f9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/summary.json
new file mode 100644
index 0000000..a78ab1a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..37a3e03
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/requests.csv
new file mode 100644
index 0000000..ffdbc36
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/summary.json
new file mode 100644
index 0000000..a3b3061
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..65ff385
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/requests.csv
new file mode 100644
index 0000000..1fd7404
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/summary.json
new file mode 100644
index 0000000..9c52021
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..f1f7731
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "applied_trace": "apl-applied.float32.npy",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/requests.csv
new file mode 100644
index 0000000..23d150c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/requests.csv
@@ -0,0 +1,83 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/summary.json
new file mode 100644
index 0000000..5c6644f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..d2e2861
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/requests.csv
new file mode 100644
index 0000000..4f5784b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/requests.csv
@@ -0,0 +1,111 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/summary.json
new file mode 100644
index 0000000..3c40f8d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-03-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "source provenance and final APL state disclosure"
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..4dce3f3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/requests.csv
new file mode 100644
index 0000000..15d4b69
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/requests.csv
@@ -0,0 +1,104 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/summary.json
new file mode 100644
index 0000000..8900cf2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
+  "case": "cal-matched_energy-04-s51101",
+  "complete": true,
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+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "state_units": "SI volts",
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..4dce3f3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/requests.csv
new file mode 100644
index 0000000..15d4b69
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/summary.json
new file mode 100644
index 0000000..313d51b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51101-r1/summary.json
@@ -0,0 +1,168 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..49dfa41
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/requests.csv
new file mode 100644
index 0000000..bb39249
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/summary.json
new file mode 100644
index 0000000..ed83f29
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51102-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..1b631fa
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/requests.csv
new file mode 100644
index 0000000..299415b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/summary.json
new file mode 100644
index 0000000..65ceb67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..793a6e4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/requests.csv
new file mode 100644
index 0000000..17c6032
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/summary.json
new file mode 100644
index 0000000..d16142c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51104-r0/summary.json
@@ -0,0 +1,168 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..075b44e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/requests.csv
new file mode 100644
index 0000000..9a99747
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/summary.json
new file mode 100644
index 0000000..4ccbaac
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-04-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..04003f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/requests.csv
new file mode 100644
index 0000000..2392890
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/requests.csv
@@ -0,0 +1,109 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/summary.json
new file mode 100644
index 0000000..9f7cfcf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "module_globals_patched": false,
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+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..04003f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/requests.csv
new file mode 100644
index 0000000..2392890
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/requests.csv
@@ -0,0 +1,109 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/summary.json
new file mode 100644
index 0000000..af28887
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..08cf1d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/requests.csv
new file mode 100644
index 0000000..788cc16
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/summary.json
new file mode 100644
index 0000000..92b67e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..b5626a8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/requests.csv
new file mode 100644
index 0000000..9b5d0db
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/summary.json
new file mode 100644
index 0000000..778f774
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51103-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..fe37fef
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/requests.csv
new file mode 100644
index 0000000..9dcede9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/summary.json
new file mode 100644
index 0000000..b25d807
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51104-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..fc780b2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/requests.csv
new file mode 100644
index 0000000..80745ea
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/summary.json
new file mode 100644
index 0000000..3ecd0ac
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-matched_energy-05-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..5064fd4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/requests.csv
new file mode 100644
index 0000000..5412009
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/summary.json
new file mode 100644
index 0000000..6a3a1ac
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..5064fd4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/requests.csv
new file mode 100644
index 0000000..5412009
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/summary.json
new file mode 100644
index 0000000..fb7fcc4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
+  "case": "cal-physiological-00-s51101",
+  "complete": true,
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+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "precision": "float64",
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+    "generated_trace": "apl-inhibition.float32.npy",
+    "applied_trace": "apl-applied.float32.npy",
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+    "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+    "closed_loop_branch_integrals_claimed_equal": false,
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+  "pending_tail_shape": [
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+      "--fmad=false",
+      "--ftz=false",
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+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..078a1ed
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/requests.csv
new file mode 100644
index 0000000..472af4d
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/summary.json
new file mode 100644
index 0000000..6f5de20
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..934f74f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/requests.csv
new file mode 100644
index 0000000..e5ec2a0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/summary.json
new file mode 100644
index 0000000..bdc83c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "pending_application_tick_stop_exclusive": 1000,
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+    "applied_trace": "apl-applied.float32.npy",
+    "pending_trace": "apl-pending-tail.float32.npy",
+    "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+    "closed_loop_branch_integrals_claimed_equal": false,
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+      "--ftz=false",
+      "--prec-div=true",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
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+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..24fbcb7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "sample_bits_preserved": true,
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+  "generated_rows": 1000,
+  "applied_generated_rows": 1000,
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+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/requests.csv
new file mode 100644
index 0000000..462a3a1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/requests.csv
@@ -0,0 +1,97 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/summary.json
new file mode 100644
index 0000000..1266e9f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..9727cd5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/requests.csv
new file mode 100644
index 0000000..a8d79f7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/summary.json
new file mode 100644
index 0000000..2fa5142
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-00-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..e4b3679
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/requests.csv
new file mode 100644
index 0000000..0fbebdd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/summary.json
new file mode 100644
index 0000000..510f241
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "h_units": "legacy mV",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..e4b3679
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/requests.csv
new file mode 100644
index 0000000..0fbebdd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/summary.json
new file mode 100644
index 0000000..1b5197d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..7cb4932
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+  "generated_trace": "apl-inhibition.float32.npy",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/requests.csv
new file mode 100644
index 0000000..24441da
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/summary.json
new file mode 100644
index 0000000..0c10d62
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..6ff5c68
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_start": 1000,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/requests.csv
new file mode 100644
index 0000000..b787d70
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/summary.json
new file mode 100644
index 0000000..8770b2b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..f1a2091
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/requests.csv
new file mode 100644
index 0000000..77e0ae1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/summary.json
new file mode 100644
index 0000000..e80387e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..08769bb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/requests.csv
new file mode 100644
index 0000000..94eb313
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/summary.json
new file mode 100644
index 0000000..697da23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-01-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..de73942
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/requests.csv
new file mode 100644
index 0000000..c30ce8e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/requests.csv
@@ -0,0 +1,108 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/summary.json
new file mode 100644
index 0000000..8691b4c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "generated_trace": "apl-inhibition.float32.npy",
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+    "closed_loop_branch_integrals_claimed_equal": false,
+    "biological_delay_measurement_claimed": false
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+  "pending_initial_zero_prefix": 0,
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+      "--ftz=false",
+      "--prec-div=true",
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+    "requests.npz": "b151ae1c1e0cf115b171305dc5a7cc0db15ec55e8aa8bac55291c0094d1106ac",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..de73942
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/requests.csv
new file mode 100644
index 0000000..c30ce8e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/requests.csv
@@ -0,0 +1,108 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/summary.json
new file mode 100644
index 0000000..ae7c6b7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+    "float32_matmul_precision": "highest",
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..70941c7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_rows": 1000,
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+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/requests.csv
new file mode 100644
index 0000000..c179180
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/summary.json
new file mode 100644
index 0000000..3350b45
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "source provenance and final APL state disclosure"
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..73fa151
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/requests.csv
new file mode 100644
index 0000000..3ec5522
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/summary.json
new file mode 100644
index 0000000..eee6aad
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..bd6341f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/requests.csv
new file mode 100644
index 0000000..cbd4e26
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/summary.json
new file mode 100644
index 0000000..8fbd053
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51104-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..6653dfb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_application_tick_stop_exclusive": 1000,
+  "pending_generated_tick_start": 1000,
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/requests.csv
new file mode 100644
index 0000000..a213bfb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/summary.json
new file mode 100644
index 0000000..cf6d222
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-02-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..85aed98
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+  "generated_trace": "apl-inhibition.float32.npy",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/requests.csv
new file mode 100644
index 0000000..664aae4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/summary.json
new file mode 100644
index 0000000..674b1b5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..85aed98
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/requests.csv
new file mode 100644
index 0000000..664aae4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/summary.json
new file mode 100644
index 0000000..43d108a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..df8783c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_rows": 1000,
+  "applied_generated_rows": 1000,
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+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/requests.csv
new file mode 100644
index 0000000..f8210d0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/summary.json
new file mode 100644
index 0000000..9da5a26
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..8f05201
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/requests.csv
new file mode 100644
index 0000000..2c269a1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/summary.json
new file mode 100644
index 0000000..62876f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..c1306a5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/requests.csv
new file mode 100644
index 0000000..9899633
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/summary.json
new file mode 100644
index 0000000..d5a1457
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51104-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..18f7a6c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/requests.csv
new file mode 100644
index 0000000..32d0b83
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/summary.json
new file mode 100644
index 0000000..b9848aa
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-03-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..4357a5a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/requests.csv
new file mode 100644
index 0000000..2f77ff2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/summary.json
new file mode 100644
index 0000000..369edf2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..4357a5a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_start": 1000,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/requests.csv
new file mode 100644
index 0000000..2f77ff2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/summary.json
new file mode 100644
index 0000000..48eb878
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
+  "case": "cal-physiological-04-s51101",
+  "complete": true,
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+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "nodes": 166700,
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+  "precision": "float64",
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+    "generated_trace": "apl-inhibition.float32.npy",
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+    "closed_loop_branch_integrals_claimed_equal": false,
+    "biological_delay_measurement_claimed": false
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
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+    "base_weights.npy": "462839ffc3feb8f6c278044488082b1c8e410e7f23229d6b5e29d1b7042416a1",
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
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+  "gain_f32_bits": "3c23d70a",
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+    "numpy": "2.2.6",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..17889ec
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 1000,
+  "applied_generated_rows": 1000,
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+  "pending_application_tick_stop_exclusive": 1000,
+  "pending_generated_tick_start": 1000,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/requests.csv
new file mode 100644
index 0000000..7d578b9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/requests.csv
@@ -0,0 +1,65 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/summary.json
new file mode 100644
index 0000000..bebc689
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+    "float32_matmul_precision": "highest",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..cab7d65
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_rows": 1000,
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/requests.csv
new file mode 100644
index 0000000..f280fb4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/summary.json
new file mode 100644
index 0000000..00f3fb5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
+  "case": "cal-physiological-04-s51103",
+  "complete": true,
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+  "precision": "float64",
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..5b6ccd7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/requests.csv
new file mode 100644
index 0000000..06a0bae
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/summary.json
new file mode 100644
index 0000000..e658139
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51104-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..72f5210
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/requests.csv
new file mode 100644
index 0000000..dbeccf2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/summary.json
new file mode 100644
index 0000000..8310df3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-04-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..40e640a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/requests.csv
new file mode 100644
index 0000000..7c0822c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/summary.json
new file mode 100644
index 0000000..a783552
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r0/summary.json
@@ -0,0 +1,168 @@
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+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..40e640a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/requests.csv
new file mode 100644
index 0000000..7c0822c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/summary.json
new file mode 100644
index 0000000..8a875e6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51101-r1/summary.json
@@ -0,0 +1,168 @@
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+    "diagnostic_additions": [
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+    ]
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..3c5000f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_start": 1000,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/requests.csv
new file mode 100644
index 0000000..6e74390
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/summary.json
new file mode 100644
index 0000000..0065833
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+      "--ftz=false",
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..3463120
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/requests.csv
new file mode 100644
index 0000000..8232712
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/summary.json
new file mode 100644
index 0000000..5263109
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+  "pending_tail_shape": [
+    0,
+    4064
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+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
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+  "sealed_ae_backend_sha256": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
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+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..222cad6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/requests.csv
new file mode 100644
index 0000000..fd49bd3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/summary.json
new file mode 100644
index 0000000..36677e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..95904cb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/requests.csv
new file mode 100644
index 0000000..6cbc8b9
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/summary.json
new file mode 100644
index 0000000..0e93d1d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/cal-physiological-05-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "source provenance and final APL state disclosure"
+    ]
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/apl-timing-audit.json
new file mode 100644
index 0000000..9247849
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_stop_exclusive": 400,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "future_apl_decay_or_feedback_generated": false,
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/requests.csv
new file mode 100644
index 0000000..729f031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/requests.csv
@@ -0,0 +1,115 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/summary.json
new file mode 100644
index 0000000..607cb3e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r0/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "high_fanin",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "precision": "float64",
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+  "requested": 114,
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/apl-timing-audit.json
new file mode 100644
index 0000000..9247849
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 400,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 400,
+  "applied_generated_rows": 400,
+  "pending_shape": [
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+  ],
+  "pending_application_tick_start": 400,
+  "pending_application_tick_stop_exclusive": 400,
+  "pending_generated_tick_start": 400,
+  "pending_generated_tick_stop_exclusive": 400,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+    16.401752471923828
+  ],
+  "final_apl_state_u32_bits": [
+    1101633596,
+    1099118282
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/requests.csv
new file mode 100644
index 0000000..729f031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/requests.csv
@@ -0,0 +1,115 @@
+tick,neuron_idx,attempted,accepted,rejected
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/summary.json
new file mode 100644
index 0000000..dba32fe
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r1/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "high_fanin",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 400,
+  "completed_ticks": 400,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
+  "total_spikes": 157,
+  "requested": 114,
+  "accepted_requests": 114,
+  "rejected_requests": 0,
+  "arriving_edges": 1069,
+  "accepted_arriving_edges": 477,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
+  "kc_targets_present": 20,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
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+    "n_neurons": 166700,
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+    "dt_ms": 0.1,
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+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    },
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+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+      "precision_configuration_changed_by_component": false
+    },
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+    "h_units": "legacy mV",
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+  },
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+    "pending_application_tick_stop_exclusive": 400,
+    "pending_generated_tick_start": 400,
+    "pending_generated_tick_stop_exclusive": 400,
+    "generated_trace": "apl-inhibition.float32.npy",
+    "applied_trace": "apl-applied.float32.npy",
+    "pending_trace": "apl-pending-tail.float32.npy",
+    "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+    "final_apl_state_float32": [
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+    "final_apl_state_u32_bits": [
+      1101633596,
+      1099118282
+    ],
+    "final_apl_state_nonzero": true,
+    "pending_queue_drained": true,
+    "finite_generated_sequence_only": true,
+    "future_apl_decay_or_feedback_generated": false,
+    "closed_loop_branch_integrals_claimed_equal": false,
+    "biological_delay_measurement_claimed": false
+  },
+  "source_provenance": {
+    "sealed_source_sha256": {
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+      "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+      "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+      "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+    },
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+    "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "future_generated_decay_tail_included": false,
+  "build": {
+    "sources": {
+      "author_ext.cpp": "208a937d17bbb041b9bf6b25b89264ee566830b60609e58491b44583d8541f15",
+      "author_ext.cu": "669f166e18ce9a3f63fc723db8b0a8b74f7fa4757194b1bd65b4cf6008a7787e"
+    },
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+    "arch_list": "8.9",
+    "cuda_flags": [
+      "-O2",
+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
+      "--prec-sqrt=true"
+    ]
+  },
+  "sealed_ae_backend_sha256": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+  "shared_apl_component_oracle_limitation": true,
+  "oracle_validation_claim": false,
+  "learning": false,
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+  "cpu_sync_each_tick": true,
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+  "peak_reserved_vram_bytes": 23068672,
+  "input_sha256": {
+    "spec.json": "f6e94e5f5d515df84eb2acd883af6d7f685c541c7bb7f2be0c31575044225417",
+    "requests.npz": "817f0fb0919c87927068fb4923854e2d2bfd1f362a6401695a26127ac032e019",
+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+    "arrays.npz": "61d667618406364f38d34a9eb2af328a74c662b17b63dc9ac33f90ab06952df7"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/apl-timing-audit.json
new file mode 100644
index 0000000..9247849
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 400,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 400,
+  "applied_generated_rows": 400,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 400,
+  "pending_application_tick_stop_exclusive": 400,
+  "pending_generated_tick_start": 400,
+  "pending_generated_tick_stop_exclusive": 400,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    21.19933319091797,
+    16.401752471923828
+  ],
+  "final_apl_state_u32_bits": [
+    1101633596,
+    1099118282
+  ],
+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/requests.csv
new file mode 100644
index 0000000..729f031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/requests.csv
@@ -0,0 +1,115 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,30,1,1,0
+0,71,1,1,0
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+0,120,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/summary.json
new file mode 100644
index 0000000..9c7777f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/high_fanin-r2/summary.json
@@ -0,0 +1,169 @@
+{
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+    "generated_trace": "apl-inhibition.float32.npy",
+    "applied_trace": "apl-applied.float32.npy",
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+    "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+    "finite_generated_sequence_only": true,
+    "future_apl_decay_or_feedback_generated": false,
+    "closed_loop_branch_integrals_claimed_equal": false,
+    "biological_delay_measurement_claimed": false
+  },
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
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+  "gain_f32_bits": "3c23d70a",
+  "environment": {
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
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+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/apl-timing-audit.json
new file mode 100644
index 0000000..042b98d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 100,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 100,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+    0.0
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+    0
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/requests.csv
new file mode 100644
index 0000000..d312c11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/requests.csv
@@ -0,0 +1,7 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
+1,7784,1,0,1
+21,7784,1,0,1
+22,7784,1,1,0
+23,7784,1,0,1
+44,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/summary.json
new file mode 100644
index 0000000..193de59
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r0/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "kc_ref_boundary",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 100,
+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
+  "total_spikes": 4,
+  "requested": 6,
+  "accepted_requests": 3,
+  "rejected_requests": 3,
+  "arriving_edges": 35,
+  "accepted_arriving_edges": 32,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/apl-timing-audit.json
new file mode 100644
index 0000000..042b98d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/requests.csv
new file mode 100644
index 0000000..d312c11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/requests.csv
@@ -0,0 +1,7 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/source-audit.json
@@ -0,0 +1,17 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/summary.json
new file mode 100644
index 0000000..6c100e4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r1/summary.json
@@ -0,0 +1,169 @@
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+      "--ftz=false",
+      "--prec-div=true",
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
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+  "gain_f32_bits": "3c23d70a",
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/apl-timing-audit.json
new file mode 100644
index 0000000..042b98d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "steps": 100,
+  "pending_generated_count": 0,
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+  "applied_generated_rows": 100,
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+  "pending_application_tick_stop_exclusive": 100,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+    0.0
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+  "final_apl_state_u32_bits": [
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+    0
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/requests.csv
new file mode 100644
index 0000000..d312c11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/requests.csv
@@ -0,0 +1,7 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
+1,7784,1,0,1
+21,7784,1,0,1
+22,7784,1,1,0
+23,7784,1,0,1
+44,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/summary.json
new file mode 100644
index 0000000..0d39477
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/kc_ref_boundary-r2/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "kc_ref_boundary",
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+  "precision": "float64",
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+  "all_finite": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/apl-timing-audit.json
new file mode 100644
index 0000000..a58976d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/requests.csv
new file mode 100644
index 0000000..0e6f2b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/summary.json
new file mode 100644
index 0000000..7f06c3c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "protocol": "phase4ag-apl-v1",
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+  "h_units": "legacy mV",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/apl-timing-audit.json
new file mode 100644
index 0000000..a58976d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/requests.csv
new file mode 100644
index 0000000..0e6f2b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/summary.json
new file mode 100644
index 0000000..4a873c0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/apl-timing-audit.json
new file mode 100644
index 0000000..a58976d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/requests.csv
new file mode 100644
index 0000000..0e6f2b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/summary.json
new file mode 100644
index 0000000..a0d4f5e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/natural_request-r2/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/apl-timing-audit.json
new file mode 100644
index 0000000..cbd4f08
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 300,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 300,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 300,
+  "pending_generated_tick_start": 300,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    0.0,
+    0.48318585753440857
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    1056400419
+  ],
+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/requests.csv
new file mode 100644
index 0000000..2b073fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/summary.json
new file mode 100644
index 0000000..872b452
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
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+      9
+    ],
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/apl-timing-audit.json
new file mode 100644
index 0000000..cbd4f08
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 300,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 300,
+  "pending_shape": [
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+  ],
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+  "pending_application_tick_stop_exclusive": 300,
+  "pending_generated_tick_start": 300,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+    0.48318585753440857
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+  "final_apl_state_u32_bits": [
+    0,
+    1056400419
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/requests.csv
new file mode 100644
index 0000000..2b073fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/summary.json
new file mode 100644
index 0000000..3aa1742
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r1/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "pn_pulse",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 300,
+  "completed_ticks": 300,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
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+  "requested": 1,
+  "accepted_requests": 1,
+  "rejected_requests": 0,
+  "arriving_edges": 5,
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+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
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+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
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+    "protocol": "phase4ag-apl-v1",
+    "n_neurons": 166700,
+    "n_apl": 2,
+    "n_kc": 4064,
+    "dt_ms": 0.1,
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/apl-timing-audit.json
new file mode 100644
index 0000000..cbd4f08
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/requests.csv
new file mode 100644
index 0000000..2b073fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/source-audit.json
@@ -0,0 +1,17 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/summary.json
new file mode 100644
index 0000000..a9e83bb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/pn_pulse-r2/summary.json
@@ -0,0 +1,169 @@
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+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
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+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/apl-timing-audit.json
new file mode 100644
index 0000000..6b210e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 300,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 300,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 300,
+  "pending_generated_tick_start": 300,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    6.207875728607178,
+    3.0469858646392822
+  ],
+  "final_apl_state_u32_bits": [
+    1086760683,
+    1078133201
+  ],
+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/requests.csv
new file mode 100644
index 0000000..5d9ee95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/requests.csv
@@ -0,0 +1,11 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/summary.json
new file mode 100644
index 0000000..b5aee65
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r0/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "two_sources",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "completed_ticks": 300,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
+  "total_spikes": 13,
+  "requested": 10,
+  "accepted_requests": 10,
+  "rejected_requests": 0,
+  "arriving_edges": 118,
+  "accepted_arriving_edges": 112,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
+  "kc_targets_present": 20,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
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+    "n_apl": 2,
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+    "biological_delay_measurement_claimed": false
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
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+    ]
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+      "--fmad=false",
+      "--ftz=false",
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+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
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+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
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+  "gain_f32_bits": "3c23d70a",
+  "environment": {
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
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+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/apl-timing-audit.json
new file mode 100644
index 0000000..6b210e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 300,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 300,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 300,
+  "pending_generated_tick_start": 300,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    6.207875728607178,
+    3.0469858646392822
+  ],
+  "final_apl_state_u32_bits": [
+    1086760683,
+    1078133201
+  ],
+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/requests.csv
new file mode 100644
index 0000000..5d9ee95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/requests.csv
@@ -0,0 +1,11 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/summary.json
new file mode 100644
index 0000000..ecb5c9f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+  "precision": "float64",
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+  "requested": 10,
+  "accepted_requests": 10,
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+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
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+    "generated_trace": "apl-inhibition.float32.npy",
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+    "future_apl_decay_or_feedback_generated": false,
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+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+    "numpy": "2.2.6",
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/apl-timing-audit.json
new file mode 100644
index 0000000..6b210e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 300,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 300,
+  "pending_shape": [
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+  ],
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+  "pending_application_tick_stop_exclusive": 300,
+  "pending_generated_tick_start": 300,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
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+    3.0469858646392822
+  ],
+  "final_apl_state_u32_bits": [
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+    1078133201
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/requests.csv
new file mode 100644
index 0000000..5d9ee95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/requests.csv
@@ -0,0 +1,11 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
+0,7784,1,1,0
+22,434,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/summary.json
new file mode 100644
index 0000000..6ee193d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/two_sources-r2/summary.json
@@ -0,0 +1,169 @@
+{
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+  "nodes": 44,
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+  "precision": "float64",
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+  "requested": 10,
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+  "counts_match_sparse_events": true,
+  "all_finite": true,
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+    },
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+    "h_units": "legacy mV",
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+  },
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+  "apl_si_conversion": "applied h32 -> float64 -> multiply float64 0.001 -> separate float64 subtraction",
+  "apl_delay_steps": 0,
+  "apl_timing": {
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+      "fixed-sequence bitwise audit",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+  "gain_f32_bits": "3c23d70a",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/apl-timing-audit.json
new file mode 100644
index 0000000..c8b7306
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "apl_delay_steps": 0,
+  "steps": 100,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
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+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 100,
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+    4064
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+  "pending_application_tick_stop_exclusive": 100,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
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+  "final_apl_state_u32_bits": [
+    0,
+    0
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+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/requests.csv
new file mode 100644
index 0000000..fc7863a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/requests.csv
@@ -0,0 +1 @@
+tick,neuron_idx,attempted,accepted,rejected
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/summary.json
new file mode 100644
index 0000000..b8d6f27
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/apl-timing-audit.json
new file mode 100644
index 0000000..c8b7306
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 100,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 100,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/requests.csv
new file mode 100644
index 0000000..fc7863a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/requests.csv
@@ -0,0 +1 @@
+tick,neuron_idx,attempted,accepted,rejected
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/summary.json
new file mode 100644
index 0000000..a2da413
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r1/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "zero",
+  "complete": true,
+  "pass_all": true,
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+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
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+  "all_finite": true,
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+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "generated_trace": "apl-inhibition.float32.npy",
+    "applied_trace": "apl-applied.float32.npy",
+    "pending_trace": "apl-pending-tail.float32.npy",
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
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+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/apl-timing-audit.json
new file mode 100644
index 0000000..c8b7306
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 0,
+  "steps": 100,
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 100,
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": true,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/requests.csv
new file mode 100644
index 0000000..fc7863a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/requests.csv
@@ -0,0 +1 @@
+tick,neuron_idx,attempted,accepted,rejected
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/summary.json
new file mode 100644
index 0000000..c42c3b7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay0/zero-r2/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "zero",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 100,
+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
+  "total_spikes": 0,
+  "requested": 0,
+  "accepted_requests": 0,
+  "rejected_requests": 0,
+  "arriving_edges": 0,
+  "accepted_arriving_edges": 0,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
+  "kc_targets_present": 20,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
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+    "protocol": "phase4ag-apl-v1",
+    "n_neurons": 166700,
+    "n_apl": 2,
+    "n_kc": 4064,
+    "dt_ms": 0.1,
+    "files_sha256": {
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+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    },
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "CUBLAS_WORKSPACE_CONFIG": null,
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+  },
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/apl-timing-audit.json
new file mode 100644
index 0000000..1aacdbf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+  "final_apl_state_float32": [
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+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/requests.csv
new file mode 100644
index 0000000..8eafc67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/requests.csv
@@ -0,0 +1,3 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,502,1,1,0
+0,904,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/summary.json
new file mode 100644
index 0000000..cd1f8c8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/apl-timing-audit.json
new file mode 100644
index 0000000..1aacdbf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 100,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 82,
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/requests.csv
new file mode 100644
index 0000000..8eafc67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/requests.csv
@@ -0,0 +1,3 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,502,1,1,0
+0,904,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/summary.json
new file mode 100644
index 0000000..9ac84a4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r1/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "apl_only",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 100,
+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
+  "total_spikes": 2,
+  "requested": 2,
+  "accepted_requests": 2,
+  "rejected_requests": 0,
+  "arriving_edges": 50,
+  "accepted_arriving_edges": 47,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
+  "kc_targets_present": 20,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
+    "ok": true,
+    "protocol": "phase4ag-apl-v1",
+    "n_neurons": 166700,
+    "n_apl": 2,
+    "n_kc": 4064,
+    "dt_ms": 0.1,
+    "files_sha256": {
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+    },
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+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+    },
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+    "gain_f32_bits": "3c23d70a",
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+      "cudnn_benchmark": false,
+      "cuda_matmul_allow_tf32": false,
+      "cudnn_allow_tf32": true,
+      "float32_matmul_precision": "highest",
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "precision_configuration_changed_by_component": false
+    },
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros"
+  },
+  "apl_schedule": "end, after threshold/reset and guarded arrivals, unconditional all KC",
+  "apl_si_conversion": "applied h32 -> float64 -> multiply float64 0.001 -> separate float64 subtraction",
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+  "apl_timing": {
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+    "apl_delay_steps": 18,
+    "steps": 100,
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+    "pending_initial_zero_prefix": 0,
+    "initial_padding_positive_zero": true,
+    "sample_bits_preserved": true,
+    "brain_tail_advanced": false,
+    "generated_rows": 100,
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+    "pending_application_tick_stop_exclusive": 118,
+    "pending_generated_tick_start": 82,
+    "pending_generated_tick_stop_exclusive": 100,
+    "generated_trace": "apl-inhibition.float32.npy",
+    "applied_trace": "apl-applied.float32.npy",
+    "pending_trace": "apl-pending-tail.float32.npy",
+    "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+    "final_apl_state_float32": [
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+      0.0
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+    "final_apl_state_u32_bits": [
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+      0
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+    "final_apl_state_nonzero": false,
+    "pending_queue_drained": false,
+    "finite_generated_sequence_only": true,
+    "future_apl_decay_or_feedback_generated": false,
+    "closed_loop_branch_integrals_claimed_equal": false,
+    "biological_delay_measurement_claimed": false
+  },
+  "source_provenance": {
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+      "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+      "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+      "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+    },
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+    "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
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+    4064
+  ],
+  "future_generated_decay_tail_included": false,
+  "build": {
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+      "author_ext.cu": "669f166e18ce9a3f63fc723db8b0a8b74f7fa4757194b1bd65b4cf6008a7787e"
+    },
+    "torch": "2.14.0+cu130",
+    "torch_cuda": "13.0",
+    "arch_list": "8.9",
+    "cuda_flags": [
+      "-O2",
+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
+      "--prec-sqrt=true"
+    ]
+  },
+  "sealed_ae_backend_sha256": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+  "shared_apl_component_oracle_limitation": true,
+  "oracle_validation_claim": false,
+  "learning": false,
+  "performance_runtime_claim": false,
+  "cpu_sync_each_tick": true,
+  "build_or_cache_seconds": 0.16602737399807665,
+  "diagnostic_simulation_seconds": 0.3445061179991171,
+  "wall_seconds": 0.7407975169990095,
+  "peak_allocated_vram_bytes": 11063808,
+  "peak_reserved_vram_bytes": 23068672,
+  "input_sha256": {
+    "spec.json": "3fb352a662be441922305b4faaa8a21c2603503892181564512571e85a90d1d6",
+    "requests.npz": "6b633838a29f5aee68f83e7fe97e95e5cf15063280a639114d404afb4dd5cbe8",
+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/apl-timing-audit.json
new file mode 100644
index 0000000..1aacdbf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 100,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 82,
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/requests.csv
new file mode 100644
index 0000000..8eafc67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/requests.csv
@@ -0,0 +1,3 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,502,1,1,0
+0,904,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/summary.json
new file mode 100644
index 0000000..747a892
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/apl_only-r2/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/apl-timing-audit.json
new file mode 100644
index 0000000..561b332
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "3bfbf7564b318282f98f8a3b19818328c93ca5b719afcce258d44b7b524d44f3",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/requests.csv
new file mode 100644
index 0000000..a9048c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/requests.csv
@@ -0,0 +1,5 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,71,1,1,0
+0,38891,1,1,0
+18,88824,1,1,0
+21,38891,1,0,1
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/summary.json
new file mode 100644
index 0000000..5b64a13
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/apl-timing-audit.json
new file mode 100644
index 0000000..561b332
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_stop_exclusive": 120,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "3bfbf7564b318282f98f8a3b19818328c93ca5b719afcce258d44b7b524d44f3",
+  "final_apl_state_float32": [
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+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/requests.csv
new file mode 100644
index 0000000..a9048c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/requests.csv
@@ -0,0 +1,5 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,71,1,1,0
+0,38891,1,1,0
+18,88824,1,1,0
+21,38891,1,0,1
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/summary.json
new file mode 100644
index 0000000..bd15a09
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/apl-timing-audit.json
new file mode 100644
index 0000000..561b332
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 120,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 120,
+  "applied_generated_rows": 102,
+  "pending_shape": [
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+  "pending_application_tick_start": 120,
+  "pending_application_tick_stop_exclusive": 138,
+  "pending_generated_tick_start": 102,
+  "pending_generated_tick_stop_exclusive": 120,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "3bfbf7564b318282f98f8a3b19818328c93ca5b719afcce258d44b7b524d44f3",
+  "final_apl_state_float32": [
+    1.7472392320632935,
+    0.02430599182844162
+  ],
+  "final_apl_state_u32_bits": [
+    1071621513,
+    1019682140
+  ],
+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/requests.csv
new file mode 100644
index 0000000..a9048c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/requests.csv
@@ -0,0 +1,5 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,71,1,1,0
+0,38891,1,1,0
+18,88824,1,1,0
+21,38891,1,0,1
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/summary.json
new file mode 100644
index 0000000..1c91dd0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/arrival_collision-r2/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "arrival_collision",
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+  "pass_all": true,
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+  "completed_ticks": 120,
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+  "precision": "float64",
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+  "all_finite": true,
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+    "future_apl_decay_or_feedback_generated": false,
+    "closed_loop_branch_integrals_claimed_equal": false,
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+    "module_globals_patched": false,
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..b89e855
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/requests.csv
new file mode 100644
index 0000000..87ea45b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/summary.json
new file mode 100644
index 0000000..98898a1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..b89e855
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/requests.csv
new file mode 100644
index 0000000..87ea45b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/summary.json
new file mode 100644
index 0000000..1a31204
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..8a224a0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/requests.csv
new file mode 100644
index 0000000..0da8628
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/requests.csv
@@ -0,0 +1,90 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/summary.json
new file mode 100644
index 0000000..4413dfd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..8bc73b9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/requests.csv
new file mode 100644
index 0000000..025224a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/summary.json
new file mode 100644
index 0000000..ea61403
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51103-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..74c174a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/requests.csv
new file mode 100644
index 0000000..fc68abd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/summary.json
new file mode 100644
index 0000000..268cf98
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..a064dd6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/requests.csv
new file mode 100644
index 0000000..891f6cd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/summary.json
new file mode 100644
index 0000000..833d851
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-00-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  },
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+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..debc7d7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/requests.csv
new file mode 100644
index 0000000..92ad8e3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/summary.json
new file mode 100644
index 0000000..e9cc440
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..debc7d7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/requests.csv
new file mode 100644
index 0000000..92ad8e3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/summary.json
new file mode 100644
index 0000000..8cf0817
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..43f793e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_raw_sha256": "e33f8aa6b6a6728347b09b51f71161ef4cebe313034df6e09d663638dcbe93bd",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/requests.csv
new file mode 100644
index 0000000..05e7312
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/requests.csv
@@ -0,0 +1,96 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/summary.json
new file mode 100644
index 0000000..b1c5492
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..b8d432f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/requests.csv
new file mode 100644
index 0000000..c61d761
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/summary.json
new file mode 100644
index 0000000..352e02d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..f4e2452
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/requests.csv
new file mode 100644
index 0000000..e884f83
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/summary.json
new file mode 100644
index 0000000..216fe46
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..5038913
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/requests.csv
new file mode 100644
index 0000000..4adc8f3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/summary.json
new file mode 100644
index 0000000..e96944c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-01-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..6f45196
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/requests.csv
new file mode 100644
index 0000000..d075776
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/summary.json
new file mode 100644
index 0000000..bddceb3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..6f45196
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/requests.csv
new file mode 100644
index 0000000..d075776
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/summary.json
new file mode 100644
index 0000000..b39b741
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51101-r1/summary.json
@@ -0,0 +1,168 @@
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..798235e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/requests.csv
new file mode 100644
index 0000000..fa55862
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/summary.json
new file mode 100644
index 0000000..3f7d35c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51102-r0/summary.json
@@ -0,0 +1,168 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "h_units": "legacy mV",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..976c4ce
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/requests.csv
new file mode 100644
index 0000000..ef7b46e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/summary.json
new file mode 100644
index 0000000..760c41b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..eb822b2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/requests.csv
new file mode 100644
index 0000000..4636eb7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/requests.csv
@@ -0,0 +1,87 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/summary.json
new file mode 100644
index 0000000..bf98e97
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..7429253
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_rows": 1000,
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+  "pending_raw_sha256": "c6b1cfade708bc46b4106c4c8f36cfa2eff8a5effb07436524c3ed8241ed11a9",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/requests.csv
new file mode 100644
index 0000000..2a86982
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/requests.csv
@@ -0,0 +1,101 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/summary.json
new file mode 100644
index 0000000..24b0b59
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-02-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..06555e8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/requests.csv
new file mode 100644
index 0000000..f1fa899
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/requests.csv
@@ -0,0 +1,102 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/summary.json
new file mode 100644
index 0000000..378f493
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..06555e8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/requests.csv
new file mode 100644
index 0000000..f1fa899
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/summary.json
new file mode 100644
index 0000000..747bdbc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51101-r1/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..0d9f77f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/requests.csv
new file mode 100644
index 0000000..b3f811f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/summary.json
new file mode 100644
index 0000000..e590fee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51102-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..f491843
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/requests.csv
new file mode 100644
index 0000000..6ead0dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/summary.json
new file mode 100644
index 0000000..133eacf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..4848888
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/requests.csv
new file mode 100644
index 0000000..1c94489
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/summary.json
new file mode 100644
index 0000000..33bfa53
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..970d360
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/requests.csv
new file mode 100644
index 0000000..c3d93e4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/summary.json
new file mode 100644
index 0000000..547fb02
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-03-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..f2ec6d7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/requests.csv
new file mode 100644
index 0000000..a23a111
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/requests.csv
@@ -0,0 +1,104 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/summary.json
new file mode 100644
index 0000000..6fa29dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+  "h_units": "legacy mV",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..f2ec6d7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/requests.csv
new file mode 100644
index 0000000..a23a111
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/requests.csv
@@ -0,0 +1,104 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/summary.json
new file mode 100644
index 0000000..f83488e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..fb4b789
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/requests.csv
new file mode 100644
index 0000000..870c3be
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/requests.csv
@@ -0,0 +1,83 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/summary.json
new file mode 100644
index 0000000..9f4ed7b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..9483b45
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/requests.csv
new file mode 100644
index 0000000..0dbcd8f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/summary.json
new file mode 100644
index 0000000..85413d9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51103-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..68d609a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/requests.csv
new file mode 100644
index 0000000..3caba3a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/summary.json
new file mode 100644
index 0000000..2c87806
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51104-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..18fa3fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/requests.csv
new file mode 100644
index 0000000..5234ef2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/summary.json
new file mode 100644
index 0000000..1365ab6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-04-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..198e02f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/requests.csv
new file mode 100644
index 0000000..fc46779
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/summary.json
new file mode 100644
index 0000000..de7c9a6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..198e02f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/requests.csv
new file mode 100644
index 0000000..fc46779
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/summary.json
new file mode 100644
index 0000000..a9a6339
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..b4f2ff3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "pending_raw_sha256": "7dfbf281d5fa3ad648bf6956342d9c692cdc640892226bb1f27e8e984ae2b994",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/requests.csv
new file mode 100644
index 0000000..f151725
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/requests.csv
@@ -0,0 +1,91 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/summary.json
new file mode 100644
index 0000000..a3d51cf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..16ca815
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/requests.csv
new file mode 100644
index 0000000..f131786
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/summary.json
new file mode 100644
index 0000000..e0dbc86
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..9335643
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/requests.csv
new file mode 100644
index 0000000..f625f34
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/summary.json
new file mode 100644
index 0000000..d1b90b4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..8a29385
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/requests.csv
new file mode 100644
index 0000000..7a5b5d4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/summary.json
new file mode 100644
index 0000000..e1e6f29
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-matched_energy-05-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..0d17b2d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/requests.csv
new file mode 100644
index 0000000..515b901
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/summary.json
new file mode 100644
index 0000000..5087660
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..0d17b2d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/requests.csv
new file mode 100644
index 0000000..515b901
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/summary.json
new file mode 100644
index 0000000..91cd8f7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..8b57a38
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/requests.csv
new file mode 100644
index 0000000..100a2d5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/summary.json
new file mode 100644
index 0000000..879823a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..27c176c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/requests.csv
new file mode 100644
index 0000000..acb177d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/summary.json
new file mode 100644
index 0000000..0f17354
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "finite_generated_sequence_only": true,
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+    "closed_loop_branch_integrals_claimed_equal": false,
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+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+      "--ftz=false",
+      "--prec-div=true",
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..fe878e6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
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+  "generated_rows": 1000,
+  "applied_generated_rows": 982,
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "13426a2cc49942f1936ff638e7ba724ac7e05a2bf948ba49c9d291ab820ab70e",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/requests.csv
new file mode 100644
index 0000000..34850d6
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/summary.json
new file mode 100644
index 0000000..6a26632
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "biological_delay_measurement_claimed": false
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+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+      "--fmad=false",
+      "--ftz=false",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..2abc973
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_rows": 1000,
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "ce743601c99c1e78137ead00002c403410d79f957be0d0950d01dd431422ba7f",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/requests.csv
new file mode 100644
index 0000000..b38a214
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/summary.json
new file mode 100644
index 0000000..862632b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-00-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+      "--ftz=false",
+      "--prec-div=true",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..c0ab144
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "pending_raw_sha256": "d474f47a3e8d6eac52dd11981c176640a21dc678068493198fe1e52440c20443",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/requests.csv
new file mode 100644
index 0000000..7d36227
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/summary.json
new file mode 100644
index 0000000..726d7d6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
+      "--prec-sqrt=true"
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..c0ab144
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "pending_raw_sha256": "d474f47a3e8d6eac52dd11981c176640a21dc678068493198fe1e52440c20443",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/requests.csv
new file mode 100644
index 0000000..7d36227
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/summary.json
new file mode 100644
index 0000000..70c939b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..7207506
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "091b83013baee4d028c5d16c494a69c068ccb9e45b0fb6f698408c3ce2ead061",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/requests.csv
new file mode 100644
index 0000000..80913c7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/summary.json
new file mode 100644
index 0000000..a5aa0f9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
+  "case": "cal-physiological-01-s51102",
+  "complete": true,
+  "pass_all": true,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..bb1e86a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/requests.csv
new file mode 100644
index 0000000..8a15ac3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/summary.json
new file mode 100644
index 0000000..f90f0ae
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..676ab63
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/requests.csv
new file mode 100644
index 0000000..9f849e4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/requests.csv
@@ -0,0 +1,125 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/summary.json
new file mode 100644
index 0000000..12f3992
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..b2a11eb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/requests.csv
new file mode 100644
index 0000000..63735d7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/summary.json
new file mode 100644
index 0000000..a5afa18
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-01-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..6f45196
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/requests.csv
new file mode 100644
index 0000000..d075776
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/requests.csv
@@ -0,0 +1,108 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/summary.json
new file mode 100644
index 0000000..555be3e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
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+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..6f45196
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/requests.csv
new file mode 100644
index 0000000..d075776
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/summary.json
new file mode 100644
index 0000000..6bc7cb7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
+  "case": "cal-physiological-02-s51101",
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..798235e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/requests.csv
new file mode 100644
index 0000000..fa55862
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+  },
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/summary.json
new file mode 100644
index 0000000..9c18081
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..976c4ce
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "a73405c86dea51e20123a5c0e2128e987fbbf13fd33219a4b0ad4c265482600c",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/requests.csv
new file mode 100644
index 0000000..cdac679
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/summary.json
new file mode 100644
index 0000000..5c6669e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
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+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..eb822b2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "ef670d080960bfcb46d1cf214af0c2521566fcb8e1261ff4c0d05e91994f682a",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/requests.csv
new file mode 100644
index 0000000..a8fc781
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/summary.json
new file mode 100644
index 0000000..7ffd300
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
+  "case": "cal-physiological-02-s51104",
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+  "counts_match_sparse_events": true,
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+  "record_history": false,
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..7429253
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/requests.csv
new file mode 100644
index 0000000..d57b0b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/summary.json
new file mode 100644
index 0000000..c832dcb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-02-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..d0d65d4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/requests.csv
new file mode 100644
index 0000000..66743b7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/summary.json
new file mode 100644
index 0000000..34fa656
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..d0d65d4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "9e3a82025b36cb22a6139698c91468da4ea5ee8c9c883536deb3712d36b94bc9",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/requests.csv
new file mode 100644
index 0000000..66743b7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/summary.json
new file mode 100644
index 0000000..9b01f39
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51101-r1/summary.json
@@ -0,0 +1,168 @@
+{
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..f344ce6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/requests.csv
new file mode 100644
index 0000000..ea5baa1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/summary.json
new file mode 100644
index 0000000..0e23394
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..47f120c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_initial_zero_prefix": 0,
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+  "sample_bits_preserved": true,
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+  "generated_rows": 1000,
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+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "709b9f04525f97ba6e29483ace0c48ffe503b8d083f50246ad55040a85a239ad",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/requests.csv
new file mode 100644
index 0000000..947a3b3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/summary.json
new file mode 100644
index 0000000..60fa461
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..1ffb863
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_rows": 1000,
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
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+  "pending_raw_sha256": "7426589022cd664eb27a64493b59ad108f50042eb13c8ca1f9938e68b667b135",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/requests.csv
new file mode 100644
index 0000000..e90a254
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/summary.json
new file mode 100644
index 0000000..33b73a1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..55381da
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/requests.csv
new file mode 100644
index 0000000..6dce903
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/summary.json
new file mode 100644
index 0000000..8edfa5b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-03-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..b2cf9af
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/requests.csv
new file mode 100644
index 0000000..93f36a6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/summary.json
new file mode 100644
index 0000000..d8a3ec0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..b2cf9af
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/requests.csv
new file mode 100644
index 0000000..93f36a6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/summary.json
new file mode 100644
index 0000000..d930749
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51101-r1/summary.json
@@ -0,0 +1,168 @@
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..240c7a3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_rows": 1000,
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+  "pending_application_tick_stop_exclusive": 1018,
+  "pending_generated_tick_start": 982,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "7fd8414a5d750fcfb421cf764eb0c02d29f496d44545af25ba1b9c33bab18e3b",
+  "final_apl_state_float32": [
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+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/requests.csv
new file mode 100644
index 0000000..2f8e4c4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/requests.csv
@@ -0,0 +1,65 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/summary.json
new file mode 100644
index 0000000..b3d6e98
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51102-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+  "precision": "float64",
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+    "generated_trace": "apl-inhibition.float32.npy",
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
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+  "gain_f32_bits": "3c23d70a",
+  "environment": {
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
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+    "device_name": "NVIDIA GeForce RTX 4090",
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+    "cudnn_deterministic": false,
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+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..9070433
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "apl_delay_steps": 18,
+  "steps": 1000,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 1000,
+  "applied_generated_rows": 982,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/requests.csv
new file mode 100644
index 0000000..f9e8a93
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/summary.json
new file mode 100644
index 0000000..4ded83b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..7b2fd78
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "1361fd38455c8ef5ccac517981d4313621f3a9e16f294f590f9b50114d25bbfc",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/requests.csv
new file mode 100644
index 0000000..4ad21e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/requests.csv
@@ -0,0 +1,60 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/summary.json
new file mode 100644
index 0000000..2b8314d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51104-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+    "diagnostic_additions": [
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..7a3cf17
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/requests.csv
new file mode 100644
index 0000000..f6f69ce
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/summary.json
new file mode 100644
index 0000000..c537470
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-04-s51105-r0/summary.json
@@ -0,0 +1,168 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/apl-timing-audit.json
new file mode 100644
index 0000000..90f6a05
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/requests.csv
new file mode 100644
index 0000000..335bd8f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/summary.json
new file mode 100644
index 0000000..fc462fb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r0/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/apl-timing-audit.json
new file mode 100644
index 0000000..90f6a05
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/requests.csv
new file mode 100644
index 0000000..335bd8f
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/summary.json
new file mode 100644
index 0000000..d18dce5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51101-r1/summary.json
@@ -0,0 +1,168 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/apl-timing-audit.json
new file mode 100644
index 0000000..854aba8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/requests.csv
new file mode 100644
index 0000000..b709161
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/summary.json
new file mode 100644
index 0000000..ee0d189
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51102-r0/summary.json
@@ -0,0 +1,168 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/apl-timing-audit.json
new file mode 100644
index 0000000..5dc5839
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/requests.csv
new file mode 100644
index 0000000..6865ed4
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/summary.json
new file mode 100644
index 0000000..fe918cf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51103-r0/summary.json
@@ -0,0 +1,168 @@
+{
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/apl-timing-audit.json
new file mode 100644
index 0000000..039c11d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/requests.csv
new file mode 100644
index 0000000..83f6d4d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/summary.json
new file mode 100644
index 0000000..d912474
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51104-r0/summary.json
@@ -0,0 +1,168 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/apl-timing-audit.json
new file mode 100644
index 0000000..27c26e1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/requests.csv
new file mode 100644
index 0000000..020053c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/summary.json
new file mode 100644
index 0000000..8a56475
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/cal-physiological-05-s51105-r0/summary.json
@@ -0,0 +1,168 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
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+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/apl-timing-audit.json
new file mode 100644
index 0000000..b8f8b34
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_stop_exclusive": 400,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "8e42761721e6457d8c7917d69267cd5919182137bfaf9cfb1e8933e4b41239ce",
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+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/requests.csv
new file mode 100644
index 0000000..729f031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/requests.csv
@@ -0,0 +1,115 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/summary.json
new file mode 100644
index 0000000..530b325
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+    "h_units": "legacy mV",
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+    "biological_delay_measurement_claimed": false
+  },
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "h_units": "legacy mV",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/apl-timing-audit.json
new file mode 100644
index 0000000..b8f8b34
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "generated_trace": "apl-inhibition.float32.npy",
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+  "pending_raw_sha256": "8e42761721e6457d8c7917d69267cd5919182137bfaf9cfb1e8933e4b41239ce",
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+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/requests.csv
new file mode 100644
index 0000000..729f031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/requests.csv
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/summary.json
new file mode 100644
index 0000000..0a1d8fb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+    "requests.npz": "817f0fb0919c87927068fb4923854e2d2bfd1f362a6401695a26127ac032e019",
+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
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+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/apl-timing-audit.json
new file mode 100644
index 0000000..b8f8b34
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "sample_bits_preserved": true,
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+  "pending_application_tick_stop_exclusive": 418,
+  "pending_generated_tick_start": 382,
+  "pending_generated_tick_stop_exclusive": 400,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "8e42761721e6457d8c7917d69267cd5919182137bfaf9cfb1e8933e4b41239ce",
+  "final_apl_state_float32": [
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+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/requests.csv
new file mode 100644
index 0000000..729f031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/requests.csv
@@ -0,0 +1,115 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/summary.json
new file mode 100644
index 0000000..32cae7e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/high_fanin-r2/summary.json
@@ -0,0 +1,169 @@
+{
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+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "precision": "float64",
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+  "state_units": "SI volts",
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+  "requested": 114,
+  "accepted_requests": 114,
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+  "all_finite": true,
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+    ]
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+    "arrays.npz": "61d667618406364f38d34a9eb2af328a74c662b17b63dc9ac33f90ab06952df7"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
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+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/apl-timing-audit.json
new file mode 100644
index 0000000..860c219
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 100,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 82,
+  "pending_shape": [
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+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "5ecef0c2af43cad7184f9934781a20d5da400b9fa7ca42dbd8b3e97740af2206",
+  "final_apl_state_float32": [
+    8.997597694396973,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    1091565097,
+    0
+  ],
+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/requests.csv
new file mode 100644
index 0000000..d312c11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/requests.csv
@@ -0,0 +1,7 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
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+21,7784,1,0,1
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+44,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/summary.json
new file mode 100644
index 0000000..f95547e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r0/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "kc_ref_boundary",
+  "complete": true,
+  "pass_all": true,
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+  "precision": "float64",
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+  "state_units": "SI volts",
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+  "requested": 6,
+  "accepted_requests": 3,
+  "rejected_requests": 3,
+  "arriving_edges": 35,
+  "accepted_arriving_edges": 32,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
+  "kc_targets_present": 20,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
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+    "dt_ms": 0.1,
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+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+    },
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+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+    "h_units": "legacy mV",
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+  },
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+    "generated_trace": "apl-inhibition.float32.npy",
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+    "finite_generated_sequence_only": true,
+    "future_apl_decay_or_feedback_generated": false,
+    "closed_loop_branch_integrals_claimed_equal": false,
+    "biological_delay_measurement_claimed": false
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+    "arch_list": "8.9",
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+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
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+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
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+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/apl-timing-audit.json
new file mode 100644
index 0000000..860c219
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 100,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 82,
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "5ecef0c2af43cad7184f9934781a20d5da400b9fa7ca42dbd8b3e97740af2206",
+  "final_apl_state_float32": [
+    8.997597694396973,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    1091565097,
+    0
+  ],
+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/requests.csv
new file mode 100644
index 0000000..d312c11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/requests.csv
@@ -0,0 +1,7 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
+1,7784,1,0,1
+21,7784,1,0,1
+22,7784,1,1,0
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+44,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/summary.json
new file mode 100644
index 0000000..9eada02
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r1/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "kc_ref_boundary",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 100,
+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_apl": 2,
+  "n_kc": 4064,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/apl-timing-audit.json
new file mode 100644
index 0000000..860c219
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/requests.csv
new file mode 100644
index 0000000..d312c11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/requests.csv
@@ -0,0 +1,7 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
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+21,7784,1,0,1
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/summary.json
new file mode 100644
index 0000000..d165945
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/kc_ref_boundary-r2/summary.json
@@ -0,0 +1,169 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "float32_matmul_precision": "highest",
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+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/apl-timing-audit.json
new file mode 100644
index 0000000..fdbbd9f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "steps": 100,
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+  "pending_application_tick_stop_exclusive": 118,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "0018154b9986d41042f595c8edfc7d8ea11c826130a55ddeb3eca006a946e668",
+  "final_apl_state_float32": [
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+    0.0
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+    0
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+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/requests.csv
new file mode 100644
index 0000000..0e6f2b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/summary.json
new file mode 100644
index 0000000..809b8fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
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+  "dt_ms": 0.1,
+  "files_sha256": {
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+  },
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/apl-timing-audit.json
new file mode 100644
index 0000000..fdbbd9f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_raw_sha256": "0018154b9986d41042f595c8edfc7d8ea11c826130a55ddeb3eca006a946e668",
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+  "closed_loop_branch_integrals_claimed_equal": false,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/requests.csv
new file mode 100644
index 0000000..0e6f2b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/summary.json
new file mode 100644
index 0000000..6cb449a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
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+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "h_units": "legacy mV",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/apl-timing-audit.json
new file mode 100644
index 0000000..fdbbd9f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_raw_sha256": "0018154b9986d41042f595c8edfc7d8ea11c826130a55ddeb3eca006a946e668",
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+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/requests.csv
new file mode 100644
index 0000000..0e6f2b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/summary.json
new file mode 100644
index 0000000..a1c2989
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/natural_request-r2/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/apl-timing-audit.json
new file mode 100644
index 0000000..aa7d37f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "66ddf2ab2f7c848a663877397c1fda34b6c4dbbccfe74af3fbcf24672ead56ce",
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+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/requests.csv
new file mode 100644
index 0000000..2b073fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "diagnostic_additions": [
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+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/summary.json
new file mode 100644
index 0000000..56f0090
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r0/summary.json
@@ -0,0 +1,169 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "gain_f32_bits": "3c23d70a",
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/apl-timing-audit.json
new file mode 100644
index 0000000..aa7d37f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 300,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 282,
+  "pending_shape": [
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+  ],
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+  "pending_application_tick_stop_exclusive": 318,
+  "pending_generated_tick_start": 282,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "66ddf2ab2f7c848a663877397c1fda34b6c4dbbccfe74af3fbcf24672ead56ce",
+  "final_apl_state_float32": [
+    0.0,
+    0.48318585753440857
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    1056400419
+  ],
+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/requests.csv
new file mode 100644
index 0000000..2b073fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/summary.json
new file mode 100644
index 0000000..ac36a2b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+  "complete": true,
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+  "precision": "float64",
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+    "diagnostic_additions": [
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+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
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+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
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+  "gain_f32_bits": "3c23d70a",
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/apl-timing-audit.json
new file mode 100644
index 0000000..aa7d37f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 300,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 282,
+  "pending_shape": [
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+  ],
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+  "pending_application_tick_stop_exclusive": 318,
+  "pending_generated_tick_start": 282,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "66ddf2ab2f7c848a663877397c1fda34b6c4dbbccfe74af3fbcf24672ead56ce",
+  "final_apl_state_float32": [
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+    0.48318585753440857
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+  "final_apl_state_u32_bits": [
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+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/requests.csv
new file mode 100644
index 0000000..2b073fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/summary.json
new file mode 100644
index 0000000..7607c35
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/pn_pulse-r2/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "pn_pulse",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "completed_ticks": 300,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
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+  "requested": 1,
+  "accepted_requests": 1,
+  "rejected_requests": 0,
+  "arriving_edges": 5,
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+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
+  "kc_targets_present": 20,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
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+    "n_neurons": 166700,
+    "n_apl": 2,
+    "n_kc": 4064,
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/apl-timing-audit.json
new file mode 100644
index 0000000..ab7d9ed
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/requests.csv
new file mode 100644
index 0000000..5d9ee95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/requests.csv
@@ -0,0 +1,11 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/summary.json
new file mode 100644
index 0000000..a596bbe
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r0/summary.json
@@ -0,0 +1,169 @@
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+    "requests.npz": "8740c2ae2faa339f222a75155f7c824b12f37ed24f2e850fcadbe70db5ebde50",
+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
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+  "gain_f32_bits": "3c23d70a",
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+    "numpy": "2.2.6",
+    "cuda": "13.0",
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/apl-timing-audit.json
new file mode 100644
index 0000000..ab7d9ed
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 300,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 282,
+  "pending_shape": [
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+    4064
+  ],
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 318,
+  "pending_generated_tick_start": 282,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "0b23ce9de04b156fc1c955e74c0c245cae785a456d85b6e5060678a50ef27bd8",
+  "final_apl_state_float32": [
+    6.207875728607178,
+    3.0469858646392822
+  ],
+  "final_apl_state_u32_bits": [
+    1086760683,
+    1078133201
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/requests.csv
new file mode 100644
index 0000000..5d9ee95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/requests.csv
@@ -0,0 +1,11 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
+0,7784,1,1,0
+22,434,1,1,0
+22,7784,1,1,0
+44,434,1,1,0
+44,7784,1,1,0
+66,434,1,1,0
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+88,434,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
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+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/summary.json
new file mode 100644
index 0000000..8f68776
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r1/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "two_sources",
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+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "completed_ticks": 300,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
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+  "requested": 10,
+  "accepted_requests": 10,
+  "rejected_requests": 0,
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+  "accepted_arriving_edges": 112,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
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+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
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+      "fixed-sequence bitwise audit",
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+    ]
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+      "--fmad=false",
+      "--ftz=false",
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+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
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+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
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+    ],
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+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/apl-timing-audit.json
new file mode 100644
index 0000000..ab7d9ed
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 300,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 300,
+  "applied_generated_rows": 282,
+  "pending_shape": [
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+  ],
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 318,
+  "pending_generated_tick_start": 282,
+  "pending_generated_tick_stop_exclusive": 300,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "0b23ce9de04b156fc1c955e74c0c245cae785a456d85b6e5060678a50ef27bd8",
+  "final_apl_state_float32": [
+    6.207875728607178,
+    3.0469858646392822
+  ],
+  "final_apl_state_u32_bits": [
+    1086760683,
+    1078133201
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+  "final_apl_state_nonzero": true,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/requests.csv
new file mode 100644
index 0000000..5d9ee95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/requests.csv
@@ -0,0 +1,11 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
+0,7784,1,1,0
+22,434,1,1,0
+22,7784,1,1,0
+44,434,1,1,0
+44,7784,1,1,0
+66,434,1,1,0
+66,7784,1,1,0
+88,434,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/summary.json
new file mode 100644
index 0000000..7b729bd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/two_sources-r2/summary.json
@@ -0,0 +1,169 @@
+{
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+  "complete": true,
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+  "precision": "float64",
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+  "requested": 10,
+  "accepted_requests": 10,
+  "rejected_requests": 0,
+  "arriving_edges": 118,
+  "accepted_arriving_edges": 112,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
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+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
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+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+    "pending_generated_tick_stop_exclusive": 300,
+    "generated_trace": "apl-inhibition.float32.npy",
+    "applied_trace": "apl-applied.float32.npy",
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+    "finite_generated_sequence_only": true,
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+    "biological_delay_measurement_claimed": false
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+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
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+  "pending_tail_shape": [
+    18,
+    4064
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+  "build": {
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+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
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+  "input_sha256": {
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+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
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+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
+  "array_sha256": {
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+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+  },
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+  "gain_f32_bits": "3c23d70a",
+  "environment": {
+    "torch": "2.14.0+cu130",
+    "numpy": "2.2.6",
+    "cuda": "13.0",
+    "cudnn": 92400,
+    "device_name": "NVIDIA GeForce RTX 4090",
+    "device_index": 0,
+    "device_capability": [
+      8,
+      9
+    ],
+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/apl-timing-audit.json
new file mode 100644
index 0000000..1aacdbf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 100,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 82,
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/requests.csv
new file mode 100644
index 0000000..fc7863a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/requests.csv
@@ -0,0 +1 @@
+tick,neuron_idx,attempted,accepted,rejected
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/summary.json
new file mode 100644
index 0000000..49f90f9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r0/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "zero",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
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+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
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+  "requested": 0,
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+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
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+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
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+    "n_neurons": 166700,
+    "n_apl": 2,
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+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
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+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "precision_configuration_changed_by_component": false
+    },
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+    "h_units": "legacy mV",
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+  },
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+  "apl_si_conversion": "applied h32 -> float64 -> multiply float64 0.001 -> separate float64 subtraction",
+  "apl_delay_steps": 18,
+  "apl_timing": {
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/apl-component.json
@@ -0,0 +1,45 @@
+{
+  "ok": true,
+  "protocol": "phase4ag-apl-v1",
+  "n_neurons": 166700,
+  "n_apl": 2,
+  "n_kc": 4064,
+  "dt_ms": 0.1,
+  "files_sha256": {
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+  },
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+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
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+  "gain_f32_bits": "3c23d70a",
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+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/apl-timing-audit.json
new file mode 100644
index 0000000..1aacdbf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
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+  "steps": 100,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
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+  "pending_application_tick_stop_exclusive": 118,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+  "final_apl_state_float32": [
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+    0
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+  "final_apl_state_nonzero": false,
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+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/requests.csv
new file mode 100644
index 0000000..fc7863a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/requests.csv
@@ -0,0 +1 @@
+tick,neuron_idx,attempted,accepted,rejected
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/source-audit.json
@@ -0,0 +1,17 @@
+{
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+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/summary.json
new file mode 100644
index 0000000..ad76545
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r1/summary.json
@@ -0,0 +1,169 @@
+{
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+  "precision": "float64",
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/apl-component.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/apl-component.json
new file mode 100644
index 0000000..4a6de0c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/apl-component.json
@@ -0,0 +1,45 @@
+{
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+  "n_neurons": 166700,
+  "n_apl": 2,
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+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
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+    "deterministic_algorithms": false,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "cuda_matmul_allow_tf32": false,
+    "cudnn_allow_tf32": true,
+    "float32_matmul_precision": "highest",
+    "CUBLAS_WORKSPACE_CONFIG": null,
+    "precision_configuration_changed_by_component": false
+  },
+  "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+  "h_units": "legacy mV",
+  "initial_state": "float32 zeros"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/apl-timing-audit.json
new file mode 100644
index 0000000..1aacdbf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/apl-timing-audit.json
@@ -0,0 +1,38 @@
+{
+  "pass_all": true,
+  "apl_delay_steps": 18,
+  "steps": 100,
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "initial_padding_positive_zero": true,
+  "sample_bits_preserved": true,
+  "brain_tail_advanced": false,
+  "generated_rows": 100,
+  "applied_generated_rows": 82,
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "generated_trace": "apl-inhibition.float32.npy",
+  "applied_trace": "apl-applied.float32.npy",
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "final_apl_state_nonzero": false,
+  "pending_queue_drained": false,
+  "finite_generated_sequence_only": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "biological_delay_measurement_claimed": false
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/requests.csv b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/requests.csv
new file mode 100644
index 0000000..fc7863a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/requests.csv
@@ -0,0 +1 @@
+tick,neuron_idx,attempted,accepted,rejected
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/source-audit.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/source-audit.json
new file mode 100644
index 0000000..d68b3dd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/source-audit.json
@@ -0,0 +1,17 @@
+{
+  "sealed_source_sha256": {
+    "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+    "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+    "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+    "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+  },
+  "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+  "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+  "module_globals_patched": false,
+  "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+  "diagnostic_additions": [
+    "generated/applied/pending trace split",
+    "fixed-sequence bitwise audit",
+    "source provenance and final APL state disclosure"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/summary.json b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/summary.json
new file mode 100644
index 0000000..ba39f9b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/gpu/delay18/zero-r2/summary.json
@@ -0,0 +1,169 @@
+{
+  "case": "zero",
+  "complete": true,
+  "pass_all": true,
+  "pass_all_scope": "internal finite/recording/event-count integrity only; independent equivalence not claimed",
+  "steps": 100,
+  "completed_ticks": 100,
+  "nodes": 44,
+  "edges": 287,
+  "precision": "float64",
+  "apl_precision": "float32",
+  "state_units": "SI volts",
+  "total_spikes": 0,
+  "requested": 0,
+  "accepted_requests": 0,
+  "rejected_requests": 0,
+  "arriving_edges": 0,
+  "accepted_arriving_edges": 0,
+  "counts_match_sparse_events": true,
+  "all_finite": true,
+  "record_history": true,
+  "apl_fast_edges_zeroed": 50,
+  "kc_targets_present": 20,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "apl_component": {
+    "ok": true,
+    "protocol": "phase4ag-apl-v1",
+    "n_neurons": 166700,
+    "n_apl": 2,
+    "n_kc": 4064,
+    "dt_ms": 0.1,
+    "files_sha256": {
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19"
+    },
+    "array_sha256": {
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "gain_f32_bits": "3c23d70a",
+    "environment": {
+      "torch": "2.14.0+cu130",
+      "numpy": "2.2.6",
+      "cuda": "13.0",
+      "cudnn": 92400,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "device_index": 0,
+      "device_capability": [
+        8,
+        9
+      ],
+      "deterministic_algorithms": false,
+      "cudnn_deterministic": false,
+      "cudnn_benchmark": false,
+      "cuda_matmul_allow_tf32": false,
+      "cudnn_allow_tf32": true,
+      "float32_matmul_precision": "highest",
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "precision_configuration_changed_by_component": false
+    },
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros"
+  },
+  "apl_schedule": "end, after threshold/reset and guarded arrivals, unconditional all KC",
+  "apl_si_conversion": "applied h32 -> float64 -> multiply float64 0.001 -> separate float64 subtraction",
+  "apl_delay_steps": 18,
+  "apl_timing": {
+    "pass_all": true,
+    "apl_delay_steps": 18,
+    "steps": 100,
+    "pending_generated_count": 18,
+    "pending_initial_zero_prefix": 0,
+    "initial_padding_positive_zero": true,
+    "sample_bits_preserved": true,
+    "brain_tail_advanced": false,
+    "generated_rows": 100,
+    "applied_generated_rows": 82,
+    "pending_shape": [
+      18,
+      4064
+    ],
+    "pending_application_tick_start": 100,
+    "pending_application_tick_stop_exclusive": 118,
+    "pending_generated_tick_start": 82,
+    "pending_generated_tick_stop_exclusive": 100,
+    "generated_trace": "apl-inhibition.float32.npy",
+    "applied_trace": "apl-applied.float32.npy",
+    "pending_trace": "apl-pending-tail.float32.npy",
+    "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+    "final_apl_state_float32": [
+      0.0,
+      0.0
+    ],
+    "final_apl_state_u32_bits": [
+      0,
+      0
+    ],
+    "final_apl_state_nonzero": false,
+    "pending_queue_drained": false,
+    "finite_generated_sequence_only": true,
+    "future_apl_decay_or_feedback_generated": false,
+    "closed_loop_branch_integrals_claimed_equal": false,
+    "biological_delay_measurement_claimed": false
+  },
+  "source_provenance": {
+    "sealed_source_sha256": {
+      "ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
+      "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+      "ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+      "af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961"
+    },
+    "candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
+    "source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+    "module_globals_patched": false,
+    "only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
+    "diagnostic_additions": [
+      "generated/applied/pending trace split",
+      "fixed-sequence bitwise audit",
+      "source provenance and final APL state disclosure"
+    ]
+  },
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "future_generated_decay_tail_included": false,
+  "build": {
+    "sources": {
+      "author_ext.cpp": "208a937d17bbb041b9bf6b25b89264ee566830b60609e58491b44583d8541f15",
+      "author_ext.cu": "669f166e18ce9a3f63fc723db8b0a8b74f7fa4757194b1bd65b4cf6008a7787e"
+    },
+    "torch": "2.14.0+cu130",
+    "torch_cuda": "13.0",
+    "arch_list": "8.9",
+    "cuda_flags": [
+      "-O2",
+      "--fmad=false",
+      "--ftz=false",
+      "--prec-div=true",
+      "--prec-sqrt=true"
+    ]
+  },
+  "sealed_ae_backend_sha256": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
+  "shared_apl_component_oracle_limitation": true,
+  "oracle_validation_claim": false,
+  "learning": false,
+  "performance_runtime_claim": false,
+  "cpu_sync_each_tick": true,
+  "build_or_cache_seconds": 0.16346415299994987,
+  "diagnostic_simulation_seconds": 0.24288795900065452,
+  "wall_seconds": 0.6391719589992135,
+  "peak_allocated_vram_bytes": 11057664,
+  "peak_reserved_vram_bytes": 23068672,
+  "input_sha256": {
+    "spec.json": "490ba326a01364533ae24ddf4022795c5e3cf5ce1ae0bf0e6092bc2df2fa25b3",
+    "requests.npz": "517b500f350b0825f7cc9c639beb62d06764de286b13e0835cb26c5f83ff106a",
+    "base_weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865",
+    "coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-apl_only-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-apl_only-r0.log
new file mode 100644
index 0000000..a3b3a47
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-apl_only-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "apl_only", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-arrival_collision-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-arrival_collision-r0.log
new file mode 100644
index 0000000..fbee015
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-arrival_collision-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "arrival_collision", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-cal-matched_energy-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-cal-matched_energy-00-s51101-r0.log
new file mode 100644
index 0000000..d0d5cf3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-cal-matched_energy-00-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "cal-matched_energy-00-s51101", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-cal-physiological-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-cal-physiological-00-s51101-r0.log
new file mode 100644
index 0000000..1de7e85
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-cal-physiological-00-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "cal-physiological-00-s51101", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-high_fanin-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-high_fanin-r0.log
new file mode 100644
index 0000000..eeda44a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-high_fanin-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "high_fanin", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-kc_ref_boundary-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-kc_ref_boundary-r0.log
new file mode 100644
index 0000000..034c6e1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-kc_ref_boundary-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "kc_ref_boundary", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-natural_request-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-natural_request-r0.log
new file mode 100644
index 0000000..009259a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-natural_request-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "natural_request", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-pn_pulse-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-pn_pulse-r0.log
new file mode 100644
index 0000000..d635a7e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-pn_pulse-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "pn_pulse", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-two_sources-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-two_sources-r0.log
new file mode 100644
index 0000000..cd9fb76
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-two_sources-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "two_sources", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay0-zero-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-zero-r0.log
new file mode 100644
index 0000000..84f19a5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay0-zero-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay0", "case": "zero", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-apl_only-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-apl_only-r0.log
new file mode 100644
index 0000000..ad239ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-apl_only-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "apl_only", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-arrival_collision-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-arrival_collision-r0.log
new file mode 100644
index 0000000..dfe197a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-arrival_collision-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "arrival_collision", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-cal-matched_energy-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-cal-matched_energy-00-s51101-r0.log
new file mode 100644
index 0000000..a5cb146
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-cal-matched_energy-00-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "cal-matched_energy-00-s51101", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-cal-physiological-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-cal-physiological-00-s51101-r0.log
new file mode 100644
index 0000000..3dfcebf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-cal-physiological-00-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "cal-physiological-00-s51101", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-high_fanin-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-high_fanin-r0.log
new file mode 100644
index 0000000..2356fae
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-high_fanin-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "high_fanin", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-kc_ref_boundary-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-kc_ref_boundary-r0.log
new file mode 100644
index 0000000..715a20b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-kc_ref_boundary-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "kc_ref_boundary", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-natural_request-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-natural_request-r0.log
new file mode 100644
index 0000000..96bb93b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-natural_request-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "natural_request", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-pn_pulse-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-pn_pulse-r0.log
new file mode 100644
index 0000000..9cf3a69
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-pn_pulse-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "pn_pulse", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-two_sources-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-two_sources-r0.log
new file mode 100644
index 0000000..877f6aa
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-two_sources-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "two_sources", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/component-delay18-zero-r0.log b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-zero-r0.log
new file mode 100644
index 0000000..f852af7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/component-delay18-zero-r0.log
@@ -0,0 +1 @@
+{"backend": "component", "arm": "delay18", "case": "zero", "repeat": 0, "complete": null, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r0.log
new file mode 100644
index 0000000..7305c44
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "apl_only", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r1.log
new file mode 100644
index 0000000..f475e33
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "apl_only", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r2.log
new file mode 100644
index 0000000..843d7d0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-apl_only-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "apl_only", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r0.log
new file mode 100644
index 0000000..7123a17
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "arrival_collision", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r1.log
new file mode 100644
index 0000000..e407119
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "arrival_collision", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r2.log
new file mode 100644
index 0000000..bc4b8ad
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-arrival_collision-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "arrival_collision", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51101-r0.log
new file mode 100644
index 0000000..5cbfb56
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-00-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51101-r1.log
new file mode 100644
index 0000000..c36cd25
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-00-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51102-r0.log
new file mode 100644
index 0000000..2919739
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-00-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51103-r0.log
new file mode 100644
index 0000000..f02598a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51103-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-00-s51103", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51104-r0.log
new file mode 100644
index 0000000..3fb0e0a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51104-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-00-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51105-r0.log
new file mode 100644
index 0000000..a63f83d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-00-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-00-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51101-r0.log
new file mode 100644
index 0000000..55589f2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-01-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51101-r1.log
new file mode 100644
index 0000000..a0cbfb9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-01-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51102-r0.log
new file mode 100644
index 0000000..3425a0e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-01-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51103-r0.log
new file mode 100644
index 0000000..3acd9fe
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51103-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-01-s51103", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51104-r0.log
new file mode 100644
index 0000000..3fedb2d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51104-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-01-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51105-r0.log
new file mode 100644
index 0000000..46c267f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-01-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-01-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51101-r0.log
new file mode 100644
index 0000000..cbda510
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-02-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51101-r1.log
new file mode 100644
index 0000000..958c02b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-02-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51102-r0.log
new file mode 100644
index 0000000..3d0bb54
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-02-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51103-r0.log
new file mode 100644
index 0000000..7252764
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51104-r0.log
new file mode 100644
index 0000000..1f2cac1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51104-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51105-r0.log
new file mode 100644
index 0000000..11dd4d9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-02-s51105-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51101-r0.log
new file mode 100644
index 0000000..d3abbf5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-03-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51101-r1.log
new file mode 100644
index 0000000..36c3858
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51101-r1.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51102-r0.log
new file mode 100644
index 0000000..2cd75b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51102-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51103-r0.log
new file mode 100644
index 0000000..13e5717
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51104-r0.log
new file mode 100644
index 0000000..83101ae
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51104-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51105-r0.log
new file mode 100644
index 0000000..5975396
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-03-s51105-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51101-r0.log
new file mode 100644
index 0000000..37d9c89
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51101-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51101-r1.log
new file mode 100644
index 0000000..db7c50d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51101-r1.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51102-r0.log
new file mode 100644
index 0000000..c5f3286
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51102-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51103-r0.log
new file mode 100644
index 0000000..d0dd609
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51104-r0.log
new file mode 100644
index 0000000..68e5dc4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51104-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51105-r0.log
new file mode 100644
index 0000000..5383ed6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-04-s51105-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51101-r0.log
new file mode 100644
index 0000000..1995b81
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51101-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51101-r1.log
new file mode 100644
index 0000000..8365323
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51101-r1.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51102-r0.log
new file mode 100644
index 0000000..02bfa86
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51102-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51103-r0.log
new file mode 100644
index 0000000..6f2da14
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51104-r0.log
new file mode 100644
index 0000000..4237053
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51104-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51105-r0.log
new file mode 100644
index 0000000..bd453b1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-matched_energy-05-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-matched_energy-05-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51101-r0.log
new file mode 100644
index 0000000..2f376e1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-physiological-00-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51101-r1.log
new file mode 100644
index 0000000..c4c9f4a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-physiological-00-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51102-r0.log
new file mode 100644
index 0000000..b1ac780
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51102-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51103-r0.log
new file mode 100644
index 0000000..afbe0e6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51104-r0.log
new file mode 100644
index 0000000..8060176
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51104-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-physiological-00-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51105-r0.log
new file mode 100644
index 0000000..17758d4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-00-s51105-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51101-r0.log
new file mode 100644
index 0000000..fd0d6a3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51101-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51101-r1.log
new file mode 100644
index 0000000..f568ed7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51101-r1.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51102-r0.log
new file mode 100644
index 0000000..cb016d2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51102-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51103-r0.log
new file mode 100644
index 0000000..b96293e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51104-r0.log
new file mode 100644
index 0000000..f045df4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51104-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51105-r0.log
new file mode 100644
index 0000000..60a0fc9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-01-s51105-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51101-r0.log
new file mode 100644
index 0000000..7d11836
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51101-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51101-r1.log
new file mode 100644
index 0000000..15d34ef
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51101-r1.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51102-r0.log
new file mode 100644
index 0000000..fdfa8f3
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51102-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51103-r0.log
new file mode 100644
index 0000000..21119ff
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51104-r0.log
new file mode 100644
index 0000000..b69073d
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51104-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51105-r0.log
new file mode 100644
index 0000000..5474da1
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-02-s51105-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51101-r0.log
new file mode 100644
index 0000000..f3f99ff
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51101-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51101-r1.log
new file mode 100644
index 0000000..09fd904
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51101-r1.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51102-r0.log
new file mode 100644
index 0000000..2360698
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51102-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51103-r0.log
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index 0000000..e597cd1
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51104-r0.log
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index 0000000..f3f44fc
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@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-03-s51105-r0.log
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index 0000000..a3b815a
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51101-r0.log
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index 0000000..472a196
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51101-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51101-r1.log
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index 0000000..6ead14d
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51102-r0.log
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index 0000000..70d7f80
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51103-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51104-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-04-s51105-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51101-r0.log
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index 0000000..3cbdd83
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51101-r1.log
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index 0000000..36b6091
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51102-r0.log
new file mode 100644
index 0000000..6ad5203
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51103-r0.log
new file mode 100644
index 0000000..bc88fc0
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@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51104-r0.log
new file mode 100644
index 0000000..6a1f802
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@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-physiological-05-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51105-r0.log
new file mode 100644
index 0000000..13363b5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-cal-physiological-05-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "cal-physiological-05-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r0.log
new file mode 100644
index 0000000..ff11627
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "high_fanin", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r1.log
new file mode 100644
index 0000000..212421c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "high_fanin", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r2.log
new file mode 100644
index 0000000..ea5ac87
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-high_fanin-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "high_fanin", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r0.log
new file mode 100644
index 0000000..b0492b8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "kc_ref_boundary", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r1.log
new file mode 100644
index 0000000..8dd3523
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "kc_ref_boundary", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r2.log
new file mode 100644
index 0000000..405bb66
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-kc_ref_boundary-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "kc_ref_boundary", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r0.log
new file mode 100644
index 0000000..0fc38c7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "natural_request", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r1.log
new file mode 100644
index 0000000..a7c411d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "natural_request", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r2.log
new file mode 100644
index 0000000..027868d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-natural_request-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "natural_request", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r0.log
new file mode 100644
index 0000000..a9be533
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "pn_pulse", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r1.log
new file mode 100644
index 0000000..f5108d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "pn_pulse", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r2.log
new file mode 100644
index 0000000..7065da9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-pn_pulse-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "pn_pulse", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r0.log
new file mode 100644
index 0000000..c0fe1f9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "two_sources", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r1.log
new file mode 100644
index 0000000..dcd257b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "two_sources", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r2.log
new file mode 100644
index 0000000..7483a21
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-two_sources-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "two_sources", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r0.log
new file mode 100644
index 0000000..3c11326
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "zero", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r1.log
new file mode 100644
index 0000000..9efc621
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "zero", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r2.log
new file mode 100644
index 0000000..c023f9a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay0-zero-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay0", "case": "zero", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r0.log
new file mode 100644
index 0000000..4e002d0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "apl_only", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r1.log
new file mode 100644
index 0000000..57778aa
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "apl_only", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r2.log
new file mode 100644
index 0000000..436a7be
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-apl_only-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "apl_only", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r0.log
new file mode 100644
index 0000000..ce6a69d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "arrival_collision", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r1.log
new file mode 100644
index 0000000..aed53dc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "arrival_collision", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r2.log
new file mode 100644
index 0000000..df1aee8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-arrival_collision-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "arrival_collision", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51101-r0.log
new file mode 100644
index 0000000..06b8742
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-00-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51101-r1.log
new file mode 100644
index 0000000..4c8268a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-00-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51102-r0.log
new file mode 100644
index 0000000..013d36c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-00-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51103-r0.log
new file mode 100644
index 0000000..be19d43
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51103-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-00-s51103", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51104-r0.log
new file mode 100644
index 0000000..ba51df0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51104-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-00-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51105-r0.log
new file mode 100644
index 0000000..92cdf81
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-00-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-00-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51101-r0.log
new file mode 100644
index 0000000..cfbcd05
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-01-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51101-r1.log
new file mode 100644
index 0000000..c6f1171
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-01-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51102-r0.log
new file mode 100644
index 0000000..595c2e4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-01-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51103-r0.log
new file mode 100644
index 0000000..3741b0a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51103-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-01-s51103", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51104-r0.log
new file mode 100644
index 0000000..aeaaecd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51104-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-01-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51105-r0.log
new file mode 100644
index 0000000..d81c031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-01-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-01-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51101-r0.log
new file mode 100644
index 0000000..49bc4be
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-02-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51101-r1.log
new file mode 100644
index 0000000..4810847
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-02-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51102-r0.log
new file mode 100644
index 0000000..7a3b250
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-02-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51103-r0.log
new file mode 100644
index 0000000..c0f10e3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51103-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-matched_energy-02-s51103", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51104-r0.log
new file mode 100644
index 0000000..a01e52c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51104-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51105-r0.log
new file mode 100644
index 0000000..06f1c25
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-02-s51105-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51101-r0.log
new file mode 100644
index 0000000..8b67e7f
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51101-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51101-r1.log
new file mode 100644
index 0000000..cba4954
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51101-r1.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51102-r0.log
new file mode 100644
index 0000000..e11a724
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51102-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51103-r0.log
new file mode 100644
index 0000000..6bea0b8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51103-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51104-r0.log
new file mode 100644
index 0000000..b49bc15
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51104-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51105-r0.log
new file mode 100644
index 0000000..4ca8fb0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-03-s51105-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51101-r0.log
new file mode 100644
index 0000000..357085c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51101-r0.log
@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51101-r1.log
new file mode 100644
index 0000000..0d9c3f0
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51101-r1.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51102-r0.log
new file mode 100644
index 0000000..6d53d7f
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+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51102-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51103-r0.log
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index 0000000..daf3716
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51103-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51104-r0.log
new file mode 100644
index 0000000..a599028
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-04-s51105-r0.log
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index 0000000..02eeb10
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51101-r0.log
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index 0000000..9c7ab90
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51101-r1.log
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index 0000000..ebaf342
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51102-r0.log
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index 0000000..28dab5d
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51103-r0.log
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index 0000000..5f8ee08
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51104-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-matched_energy-05-s51105-r0.log
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index 0000000..2c9709e
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51101-r0.log
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index 0000000..6be0dbe
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51101-r1.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51102-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51103-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51104-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-00-s51105-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-01-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-01-s51101-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-01-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-01-s51101-r1.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-01-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-01-s51102-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51101-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51101-r1.log
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@@ -0,0 +1 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51102-r0.log
new file mode 100644
index 0000000..e31f523
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-03-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51103-r0.log
new file mode 100644
index 0000000..15827ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51103-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-03-s51103", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51104-r0.log
new file mode 100644
index 0000000..0dbbcc1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51104-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-03-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51105-r0.log
new file mode 100644
index 0000000..5d5f150
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-03-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-03-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51101-r0.log
new file mode 100644
index 0000000..d390227
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-04-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51101-r1.log
new file mode 100644
index 0000000..fffa8bf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-04-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51102-r0.log
new file mode 100644
index 0000000..79faa92
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-04-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51103-r0.log
new file mode 100644
index 0000000..d4e76e7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51103-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-04-s51103", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51104-r0.log
new file mode 100644
index 0000000..05a0808
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51104-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-04-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51105-r0.log
new file mode 100644
index 0000000..61d2555
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-04-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-04-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51101-r0.log
new file mode 100644
index 0000000..5bdebd9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51101-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-05-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51101-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51101-r1.log
new file mode 100644
index 0000000..d8123b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51101-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-05-s51101", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51102-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51102-r0.log
new file mode 100644
index 0000000..a1db125
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51102-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-05-s51102", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51103-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51103-r0.log
new file mode 100644
index 0000000..5c49167
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51103-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-05-s51103", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51104-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51104-r0.log
new file mode 100644
index 0000000..0d6e58f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51104-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-05-s51104", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51105-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51105-r0.log
new file mode 100644
index 0000000..cef9cd0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-cal-physiological-05-s51105-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "cal-physiological-05-s51105", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r0.log
new file mode 100644
index 0000000..5dbe0eb
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "high_fanin", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r1.log
new file mode 100644
index 0000000..42bfcd7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "high_fanin", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r2.log
new file mode 100644
index 0000000..62f4135
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-high_fanin-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "high_fanin", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r0.log
new file mode 100644
index 0000000..1e05f1f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "kc_ref_boundary", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r1.log
new file mode 100644
index 0000000..73e7e4c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "kc_ref_boundary", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r2.log
new file mode 100644
index 0000000..5a3dc6b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-kc_ref_boundary-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "kc_ref_boundary", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r0.log
new file mode 100644
index 0000000..c23245e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "natural_request", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r1.log
new file mode 100644
index 0000000..a318154
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "natural_request", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r2.log
new file mode 100644
index 0000000..2b1097f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-natural_request-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "natural_request", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r0.log
new file mode 100644
index 0000000..fb26031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "pn_pulse", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r1.log
new file mode 100644
index 0000000..4fdc28a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "pn_pulse", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r2.log
new file mode 100644
index 0000000..9f76a85
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-pn_pulse-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "pn_pulse", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r0.log
new file mode 100644
index 0000000..0597f73
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "two_sources", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r1.log
new file mode 100644
index 0000000..f3dd07b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "two_sources", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r2.log
new file mode 100644
index 0000000..eb05e93
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-two_sources-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "two_sources", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r0.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r0.log
new file mode 100644
index 0000000..dbc0a3b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r0.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "zero", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r1.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r1.log
new file mode 100644
index 0000000..512afa4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r1.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "zero", "repeat": 1, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r2.log b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r2.log
new file mode 100644
index 0000000..9ba3651
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/gpu-delay18-zero-r2.log
@@ -0,0 +1 @@
+{"backend": "gpu", "arm": "delay18", "case": "zero", "repeat": 2, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-apl_only-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-apl_only-r0.log
new file mode 100644
index 0000000..dd4e030
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-apl_only-r0.log
@@ -0,0 +1,2 @@
+{"oracle": "apl_only", "completed_ticks": 100, "spikes": 2, "APL_worker_ticks": 100}
+{"backend": "oracle", "arm": "delay0", "case": "apl_only", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-arrival_collision-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-arrival_collision-r0.log
new file mode 100644
index 0000000..066ae0f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-arrival_collision-r0.log
@@ -0,0 +1,3 @@
+{"oracle": "arrival_collision", "completed_ticks": 100, "spikes": 3, "APL_worker_ticks": 100}
+{"oracle": "arrival_collision", "completed_ticks": 120, "spikes": 3, "APL_worker_ticks": 120}
+{"backend": "oracle", "arm": "delay0", "case": "arrival_collision", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-cal-matched_energy-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-cal-matched_energy-00-s51101-r0.log
new file mode 100644
index 0000000..19ad103
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-cal-matched_energy-00-s51101-r0.log
@@ -0,0 +1,11 @@
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 100, "spikes": 97, "APL_worker_ticks": 100}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 200, "spikes": 1456, "APL_worker_ticks": 200}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 300, "spikes": 4530, "APL_worker_ticks": 300}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 400, "spikes": 8376, "APL_worker_ticks": 400}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 500, "spikes": 12236, "APL_worker_ticks": 500}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 600, "spikes": 15600, "APL_worker_ticks": 600}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 700, "spikes": 19180, "APL_worker_ticks": 700}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 800, "spikes": 22852, "APL_worker_ticks": 800}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 900, "spikes": 26356, "APL_worker_ticks": 900}
+{"oracle": "cal-matched_energy-00-s51101", "completed_ticks": 1000, "spikes": 29518, "APL_worker_ticks": 1000}
+{"backend": "oracle", "arm": "delay0", "case": "cal-matched_energy-00-s51101", "repeat": 0, "complete": true, "pass_all": true}
diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-cal-physiological-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-cal-physiological-00-s51101-r0.log
new file mode 100644
index 0000000..28bda18
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-cal-physiological-00-s51101-r0.log
@@ -0,0 +1,11 @@
+{"oracle": "cal-physiological-00-s51101", "completed_ticks": 100, "spikes": 97, "APL_worker_ticks": 100}
+{"oracle": "cal-physiological-00-s51101", "completed_ticks": 200, "spikes": 1458, "APL_worker_ticks": 200}
+{"oracle": "cal-physiological-00-s51101", "completed_ticks": 300, "spikes": 4539, "APL_worker_ticks": 300}
+{"oracle": "cal-physiological-00-s51101", "completed_ticks": 400, "spikes": 8320, "APL_worker_ticks": 400}
+{"oracle": "cal-physiological-00-s51101", "completed_ticks": 500, "spikes": 12108, "APL_worker_ticks": 500}
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-high_fanin-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-high_fanin-r0.log
new file mode 100644
index 0000000..21018ea
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-high_fanin-r0.log
@@ -0,0 +1,5 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-kc_ref_boundary-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-kc_ref_boundary-r0.log
new file mode 100644
index 0000000..96864a8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-kc_ref_boundary-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-natural_request-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-natural_request-r0.log
new file mode 100644
index 0000000..ee823f8
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-pn_pulse-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-pn_pulse-r0.log
new file mode 100644
index 0000000..a170cbb
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-two_sources-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay0-two_sources-r0.log
new file mode 100644
index 0000000..0ec85be
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay18-apl_only-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay18-apl_only-r0.log
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diff --git a/registry/phase4aj-apl-timing/evidence/logs/oracle-delay18-cal-matched_energy-00-s51101-r0.log b/registry/phase4aj-apl-timing/evidence/logs/oracle-delay18-cal-matched_energy-00-s51101-r0.log
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index 0000000..d8106df
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new file mode 100644
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new file mode 100644
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new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
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+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/apl-timing-audit.json
new file mode 100644
index 0000000..4c5f3c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 100,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_nonzero": false,
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 100,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 100,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/compiled-code.json
new file mode 100644
index 0000000..c71bec0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    lastspike = _array_default_neurons_lastspike\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/generated-code.json
new file mode 100644
index 0000000..be72266
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    lastspike = _array_default_neurons_lastspike\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/input-audit.json
new file mode 100644
index 0000000..72a07f3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "6b633838a29f5aee68f83e7fe97e95e5cf15063280a639114d404afb4dd5cbe8",
+    "spec.json": "e0d6a0b41c13b8afd8a448bb92a9a0bd35c5bbc7f2c175c8ffd5242dded95ddc"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 10.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "apl_only",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 100,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/output-schema.json
new file mode 100644
index 0000000..493ec15
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      100,
+      4064
+    ],
+    "drive": [
+      100,
+      2
+    ],
+    "inhibition": [
+      100,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      100,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    100,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/queue-audit.json
new file mode 100644
index 0000000..aaad63e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 100,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 100,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/requests.csv
new file mode 100644
index 0000000..8eafc67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/requests.csv
@@ -0,0 +1,3 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,502,1,1,0
+0,904,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/summary.json
new file mode 100644
index 0000000..ca44fb6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/apl_only/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "429a69417d057704b5a9364e5dc9968d7a690c83f43b096c9284be47835d4c9f",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "0ee93cffba47c3687fb11fa5623fe483ded774eb771715f4557a9d249015f358",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 100,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 2,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 100,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "f42e10e38960132803d2eb1c3ccf3570e7a8d6618ed2d77d60bf830bf2c4812e",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "apl_only",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 651304909,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "306299f8fb7e6901ce92c3e146566f8ce1f65138090daefbbe367f013d2eebaa",
+  "ref_rejected_requests": 0,
+  "requests": 2,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 2,
+  "state_hashes_sha256": "e2936c94d40319270491846542963ea9439c94891008003edf2436366ee42e8e",
+  "steps": 100,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-timing-audit.json
new file mode 100644
index 0000000..65f3241
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 120,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    1.7472392320632935,
+    0.02430599182844162
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1071621513,
+    1019682140
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 120,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 120,
+  "pending_application_tick_stop_exclusive": 120,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 120,
+  "pending_generated_tick_stop_exclusive": 120,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 120,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/compiled-code.json
new file mode 100644
index 0000000..9a187b7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    dt = _array_defaultclock_dt[0]\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    lastspike = _array_default_neurons_lastspike\n    g = _array_default_neurons_g.copy()\n    v = _array_default_neurons_v.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/generated-code.json
new file mode 100644
index 0000000..9d4ad68
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    dt = _array_defaultclock_dt[0]\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    lastspike = _array_default_neurons_lastspike\n    g = _array_default_neurons_g.copy()\n    v = _array_default_neurons_v.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/input-audit.json
new file mode 100644
index 0000000..3cd3fc8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "2b5c4d1491dd65ac70a2e23b8d4db9be7f0798fabff114c308a753ccb58a051f",
+    "spec.json": "09382ada7694a5ceec602cf2626d9e291f01afc02188fc1e0b501718940e735e"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 12.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "arrival_collision",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 120,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/output-schema.json
new file mode 100644
index 0000000..290a97a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      120,
+      4064
+    ],
+    "drive": [
+      120,
+      2
+    ],
+    "inhibition": [
+      120,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      120,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    120,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/queue-audit.json
new file mode 100644
index 0000000..294441b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 120,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 120,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/requests.csv
new file mode 100644
index 0000000..a9048c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/requests.csv
@@ -0,0 +1,5 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,71,1,1,0
+0,38891,1,1,0
+18,88824,1,1,0
+21,38891,1,0,1
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/summary.json
new file mode 100644
index 0000000..916e7bd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/arrival_collision/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "04a2f0809f96a13a8e07649f11f546c78e4173583f599f6c8a60109df8d8005a",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "97d374e126014f05056457ef0eacffbcde941bdd69c830609e78dbbf38bac3f7",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 120,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 3,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 120,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "39136eaca57a5fc7eee6e4c41af79421a0e5931cdfba474e33949a775d5db53e",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "arrival_collision",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 622936866,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "a14e60c29eee17afa66692052d5aa7661c6269785a5672ab116b9ca096a247e0",
+  "ref_rejected_requests": 1,
+  "requests": 4,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 3,
+  "state_hashes_sha256": "0bb726cf2815518ea4fe632d6eb162fecd1865cef54ec0fa25ba22a20f479772",
+  "steps": 120,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-mask-audit.json
new file mode 100644
index 0000000..28143e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 4064,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "a8c19cde743bd456bcb2e988d504f805b6943d6ceb97cd241d6e1e472ab5a591",
+  "count": 5845,
+  "effective_weights_file_sha256": "ac433da4b0ac3cdc20c526d99a7158c3dc2298b62c10784f9dcd7db1f089214b",
+  "effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-timing-audit.json
new file mode 100644
index 0000000..c890d96
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 1000,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    153.0426483154297,
+    161.94300842285156
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1125714667,
+    1126297961
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 1000,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 1000,
+  "pending_application_tick_stop_exclusive": 1000,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 1000,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 1000,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/compiled-code.json
new file mode 100644
index 0000000..39993e2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    lastspike = _array_default_neurons_lastspike\n    dt = _array_defaultclock_dt[0]\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/generated-code.json
new file mode 100644
index 0000000..76a7cc8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    lastspike = _array_default_neurons_lastspike\n    dt = _array_defaultclock_dt[0]\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/input-audit.json
new file mode 100644
index 0000000..bba10b4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/input-audit.json
@@ -0,0 +1,77 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "requests.npz": "d49fb00b3870c8e923c0e5fc903536c0d8985555e5052c23ebc6f963c8af5314",
+    "spec.json": "9116709f7c3bd0ecd2ae6f5fe6084fe2e35864c1123bcfd5e3c8a56b04c2dc89"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fb9033398abb7585ae63472ced9d8c8cab787f69965dc9ce5fa409ab105bc1bc",
+    "connectivity.parquet": "1362c1102b74f5552f4b01fca956574fd6252f749e31493c4a00a1bc9eab00b3",
+    "dst.npy": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "edge_id.npy": "49260615ff2b6432ce3dea9ce2c7ab8f83d06c2fb7491e58e08355fcedf86a30",
+    "nodes.npy": "5b511a98e8fbf8d65bbc70b93e75ecae19366f650b7842a45611bfad62ed83dc",
+    "ptr.npy": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "signed_raw.npy": "f9884ccb8930b32420b27c69271df78034a8350fe5a5c9b76a63c259268efc09",
+    "src.npy": "bfd625ce690fc21eb0a8b9dede831688ab73b789045ba83ddf4baeefeddf1fc3",
+    "weights.npy": "462839ffc3feb8f6c278044488082b1c8e410e7f23229d6b5e29d1b7042416a1"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 100.0,
+    "expected_external_events": 102.24431762695312,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+    "kind": "calibration",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "mode": "matched_energy",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "cal-matched_energy-00-s51101",
+    "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+    "odor_index": 0,
+    "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "rate_sum_hz": 1022.4431762695312,
+    "record_history": false,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "seed": 51101,
+    "steps": 1000,
+    "target_count": 48,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/output-schema.json
new file mode 100644
index 0000000..ab45f8f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      1000,
+      4064
+    ],
+    "drive": [
+      1000,
+      2
+    ],
+    "inhibition": [
+      1000,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      1000,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": false,
+  "history_shape": [
+    1000,
+    166700
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/queue-audit.json
new file mode 100644
index 0000000..11368a5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 1000,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 1000,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/requests.csv
new file mode 100644
index 0000000..dc2f41c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/requests.csv
@@ -0,0 +1,118 @@
+tick,neuron_idx,attempted,accepted,rejected
+1,522,1,1,0
+26,2010,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/summary.json
new file mode 100644
index 0000000..18984cd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-matched_energy-00-s51101/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "5c61b09f281cb180e88f7753df1537790606b8a4d3bd38af6ce47ee73e6723d4",
+  "APL_fast_edges_zeroed": 5845,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "116196077cc47695794ca4fdc50acbf35494d24c6881423f1476ea4a94253d44",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 1000,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 5845,
+  "applicable_requests": 89,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 1000,
+  "edges": 25582938,
+  "effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
+  "events_sha256": "f57af8126b151c9af0fef3b065f70ceae72e270b001b8447f91f10bc161cd0bd",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": false,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 4064,
+  "name": "cal-matched_energy-00-s51101",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 166700,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 1483183728,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "628317164ce25c2b0b90236fe0f68d02cbcec586f9676cc03a4be1ed7e53d622",
+  "ref_rejected_requests": 28,
+  "requests": 117,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 29518,
+  "state_hashes_sha256": "7d07fe889f1f968fc83efb8d661cd6803e430dcf0914e75b2476db2e5c987396",
+  "steps": 1000,
+  "weights_sha256": "ac433da4b0ac3cdc20c526d99a7158c3dc2298b62c10784f9dcd7db1f089214b"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-mask-audit.json
new file mode 100644
index 0000000..28143e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 4064,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "a8c19cde743bd456bcb2e988d504f805b6943d6ceb97cd241d6e1e472ab5a591",
+  "count": 5845,
+  "effective_weights_file_sha256": "ac433da4b0ac3cdc20c526d99a7158c3dc2298b62c10784f9dcd7db1f089214b",
+  "effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-timing-audit.json
new file mode 100644
index 0000000..e2bf332
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 1000,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    146.9673614501953,
+    169.30679321289062
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1125316517,
+    1126780554
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 1000,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 1000,
+  "pending_application_tick_stop_exclusive": 1000,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 1000,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 1000,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/compiled-code.json
new file mode 100644
index 0000000..08a41c8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    dt = _array_defaultclock_dt[0]\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_v[:] = v\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/generated-code.json
new file mode 100644
index 0000000..e179513
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    dt = _array_defaultclock_dt[0]\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_v[:] = v\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/input-audit.json
new file mode 100644
index 0000000..58c7b8c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/input-audit.json
@@ -0,0 +1,77 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "requests.npz": "9f87b434e8da524ce31b4563ad89ab47189dc7035c9f827840f3250aad81083d",
+    "spec.json": "2232a76d76465f67fc0162e1b0c68df30273ef6ffd3b10ff1154686ac0d43952"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fb9033398abb7585ae63472ced9d8c8cab787f69965dc9ce5fa409ab105bc1bc",
+    "connectivity.parquet": "1362c1102b74f5552f4b01fca956574fd6252f749e31493c4a00a1bc9eab00b3",
+    "dst.npy": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "edge_id.npy": "49260615ff2b6432ce3dea9ce2c7ab8f83d06c2fb7491e58e08355fcedf86a30",
+    "nodes.npy": "5b511a98e8fbf8d65bbc70b93e75ecae19366f650b7842a45611bfad62ed83dc",
+    "ptr.npy": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "signed_raw.npy": "f9884ccb8930b32420b27c69271df78034a8350fe5a5c9b76a63c259268efc09",
+    "src.npy": "bfd625ce690fc21eb0a8b9dede831688ab73b789045ba83ddf4baeefeddf1fc3",
+    "weights.npy": "462839ffc3feb8f6c278044488082b1c8e410e7f23229d6b5e29d1b7042416a1"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 100.0,
+    "expected_external_events": 105.90211181640625,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+    "kind": "calibration",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "mode": "physiological",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "cal-physiological-00-s51101",
+    "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+    "odor_index": 0,
+    "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "rate_sum_hz": 1059.0211181640625,
+    "record_history": false,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "seed": 51101,
+    "steps": 1000,
+    "target_count": 48,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/output-schema.json
new file mode 100644
index 0000000..ab45f8f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      1000,
+      4064
+    ],
+    "drive": [
+      1000,
+      2
+    ],
+    "inhibition": [
+      1000,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      1000,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": false,
+  "history_shape": [
+    1000,
+    166700
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/queue-audit.json
new file mode 100644
index 0000000..11368a5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 1000,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 1000,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/requests.csv
new file mode 100644
index 0000000..5412009
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/requests.csv
@@ -0,0 +1,122 @@
+tick,neuron_idx,attempted,accepted,rejected
+1,522,1,1,0
+26,2010,1,1,0
+27,7679,1,1,0
+31,4311,1,1,0
+37,7781,1,1,0
+40,2601,1,1,0
+42,3345,1,1,0
+58,1011,1,1,0
+59,2493,1,1,0
+69,5519,1,1,0
+81,7679,1,1,0
+86,3252,1,1,0
+95,1514,1,1,0
+102,3252,1,0,1
+103,12644,1,1,0
+115,130497,1,1,0
+127,2970,1,1,0
+130,4505,1,0,1
+137,2010,1,1,0
+158,130753,1,1,0
+162,2029,1,1,0
+162,130472,1,1,0
+163,2010,1,1,0
+181,522,1,1,0
+190,10769,1,1,0
+195,360,1,1,0
+198,2493,1,1,0
+199,1011,1,1,0
+241,1011,1,1,0
+247,10769,1,1,0
+248,6842,1,0,1
+252,2010,1,1,0
+253,4026,1,1,0
+259,360,1,1,0
+260,4026,1,0,1
+265,999,1,1,0
+270,3345,1,1,0
+271,2231,1,1,0
+288,1514,1,0,1
+299,3161,1,1,0
+300,522,1,0,1
+319,3252,1,1,0
+326,1514,1,1,0
+331,2601,1,1,0
+335,9975,1,1,0
+345,2586,1,0,1
+365,3202,1,0,1
+377,3252,1,0,1
+412,1514,1,1,0
+413,2493,1,1,0
+417,130753,1,1,0
+418,130753,1,0,1
+425,6842,1,1,0
+431,360,1,0,1
+444,9370,1,1,0
+445,189,1,0,1
+458,9370,1,0,1
+474,331,1,1,0
+480,1011,1,1,0
+483,6842,1,1,0
+492,3202,1,0,1
+497,189,1,0,1
+500,2029,1,1,0
+501,9188,1,1,0
+503,7679,1,1,0
+510,6842,1,1,0
+528,1011,1,1,0
+530,2535,1,1,0
+588,522,1,1,0
+589,1011,1,0,1
+605,3252,1,1,0
+607,12644,1,1,0
+609,4505,1,0,1
+623,4311,1,1,0
+633,3161,1,1,0
+637,131226,1,1,0
+650,2010,1,0,1
+652,331,1,1,0
+659,3252,1,1,0
+667,8504,1,1,0
+674,14839,1,0,1
+676,360,1,0,1
+680,1011,1,0,1
+687,2347,1,1,0
+697,522,1,1,0
+704,10769,1,1,0
+704,21802,1,1,0
+709,9975,1,1,0
+722,2970,1,1,0
+724,3202,1,1,0
+743,2231,1,0,1
+749,12644,1,1,0
+752,2029,1,1,0
+752,2970,1,1,0
+757,4311,1,1,0
+764,5519,1,1,0
+778,2586,1,0,1
+785,360,1,1,0
+787,999,1,0,1
+815,522,1,1,0
+835,2010,1,1,0
+844,130753,1,1,0
+853,2231,1,1,0
+862,10769,1,1,0
+867,1514,1,1,0
+872,1191,1,1,0
+874,2029,1,1,0
+878,1927,1,1,0
+880,131226,1,0,1
+901,130472,1,1,0
+904,130497,1,1,0
+906,1514,1,1,0
+920,522,1,1,0
+942,7679,1,1,0
+951,5519,1,1,0
+952,5519,1,0,1
+955,2493,1,1,0
+961,360,1,0,1
+961,130753,1,0,1
+989,2601,1,1,0
+993,14839,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/summary.json
new file mode 100644
index 0000000..c8c912c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/cal-physiological-00-s51101/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "0227a22a7c8f54321e7f02ef320a3bc22142b7efd63d9fc4a475653c86d4f025",
+  "APL_fast_edges_zeroed": 5845,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "4688b8633b41678bf774c052e8388e3c66168a06527f8d1f36152054121b56c6",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 1000,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 5845,
+  "applicable_requests": 93,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 1000,
+  "edges": 25582938,
+  "effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
+  "events_sha256": "4980889373ddb0681fd3444881a59242681890b9c0fa0aa20154ad9376c3cdbd",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": false,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 4064,
+  "name": "cal-physiological-00-s51101",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 166700,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 1207221169,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "8ed73b17d00fc6a67b807c3d36f5c9b82a974f17f1ce2d3bfd9f8d6c15de5a01",
+  "ref_rejected_requests": 28,
+  "requests": 121,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 29938,
+  "state_hashes_sha256": "f9134739ed6a2b7558957a2bc47ad375d831b733d4c259a826e4be296bcb0cc9",
+  "steps": 1000,
+  "weights_sha256": "ac433da4b0ac3cdc20c526d99a7158c3dc2298b62c10784f9dcd7db1f089214b"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-timing-audit.json
new file mode 100644
index 0000000..e07e8a8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 400,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    21.19933319091797,
+    16.401752471923828
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1101633596,
+    1099118282
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 400,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 400,
+  "pending_application_tick_stop_exclusive": 400,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 400,
+  "pending_generated_tick_stop_exclusive": 400,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 400,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/compiled-code.json
new file mode 100644
index 0000000..173f39e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    rfc = _array_default_neurons_rfc\n    g = _array_default_neurons_g.copy()\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        w = _array_default_synapses_w[_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/generated-code.json
new file mode 100644
index 0000000..4bf0fe0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    rfc = _array_default_neurons_rfc\n    g = _array_default_neurons_g.copy()\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        w = _array_default_synapses_w[_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/input-audit.json
new file mode 100644
index 0000000..ada7b2c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "61d667618406364f38d34a9eb2af328a74c662b17b63dc9ac33f90ab06952df7",
+    "requests.npz": "817f0fb0919c87927068fb4923854e2d2bfd1f362a6401695a26127ac032e019",
+    "spec.json": "f6e94e5f5d515df84eb2acd883af6d7f685c541c7bb7f2be0c31575044225417"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 40.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "high_fanin",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 400,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/output-schema.json
new file mode 100644
index 0000000..a95295c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      400,
+      4064
+    ],
+    "drive": [
+      400,
+      2
+    ],
+    "inhibition": [
+      400,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      400,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    400,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/queue-audit.json
new file mode 100644
index 0000000..35a1402
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 400,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 400,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/requests.csv
new file mode 100644
index 0000000..729f031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/requests.csv
@@ -0,0 +1,115 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,30,1,1,0
+0,71,1,1,0
+0,112,1,1,0
+0,120,1,1,0
+0,189,1,1,0
+0,296,1,1,0
+0,434,1,1,0
+0,484,1,1,0
+0,522,1,1,0
+0,530,1,1,0
+0,728,1,1,0
+0,813,1,1,0
+0,1590,1,1,0
+0,2010,1,1,0
+0,2160,1,1,0
+0,3252,1,1,0
+0,5693,1,1,0
+0,7784,1,1,0
+0,10679,1,1,0
+0,13533,1,1,0
+0,20721,1,1,0
+0,23644,1,1,0
+0,23943,1,1,0
+0,27845,1,1,0
+0,30590,1,1,0
+0,33250,1,1,0
+0,33327,1,1,0
+0,38891,1,1,0
+0,57446,1,1,0
+0,58405,1,1,0
+0,82235,1,1,0
+0,82312,1,1,0
+0,88824,1,1,0
+0,100135,1,1,0
+0,107868,1,1,0
+0,120835,1,1,0
+0,130612,1,1,0
+0,133666,1,1,0
+22,30,1,1,0
+22,71,1,1,0
+22,112,1,1,0
+22,120,1,1,0
+22,189,1,1,0
+22,296,1,1,0
+22,434,1,1,0
+22,484,1,1,0
+22,522,1,1,0
+22,530,1,1,0
+22,728,1,1,0
+22,813,1,1,0
+22,1590,1,1,0
+22,2010,1,1,0
+22,2160,1,1,0
+22,3252,1,1,0
+22,5693,1,1,0
+22,7784,1,1,0
+22,10679,1,1,0
+22,13533,1,1,0
+22,20721,1,1,0
+22,23644,1,1,0
+22,23943,1,1,0
+22,27845,1,1,0
+22,30590,1,1,0
+22,33250,1,1,0
+22,33327,1,1,0
+22,38891,1,1,0
+22,57446,1,1,0
+22,58405,1,1,0
+22,82235,1,1,0
+22,82312,1,1,0
+22,88824,1,1,0
+22,100135,1,1,0
+22,107868,1,1,0
+22,120835,1,1,0
+22,130612,1,1,0
+22,133666,1,1,0
+44,30,1,1,0
+44,71,1,1,0
+44,112,1,1,0
+44,120,1,1,0
+44,189,1,1,0
+44,296,1,1,0
+44,434,1,1,0
+44,484,1,1,0
+44,522,1,1,0
+44,530,1,1,0
+44,728,1,1,0
+44,813,1,1,0
+44,1590,1,1,0
+44,2010,1,1,0
+44,2160,1,1,0
+44,3252,1,1,0
+44,5693,1,1,0
+44,7784,1,1,0
+44,10679,1,1,0
+44,13533,1,1,0
+44,20721,1,1,0
+44,23644,1,1,0
+44,23943,1,1,0
+44,27845,1,1,0
+44,30590,1,1,0
+44,33250,1,1,0
+44,33327,1,1,0
+44,38891,1,1,0
+44,57446,1,1,0
+44,58405,1,1,0
+44,82235,1,1,0
+44,82312,1,1,0
+44,88824,1,1,0
+44,100135,1,1,0
+44,107868,1,1,0
+44,120835,1,1,0
+44,130612,1,1,0
+44,133666,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/summary.json
new file mode 100644
index 0000000..7a880e7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/high_fanin/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "c1950e4c348b57a70516a73fbd7b22cef62de32b2d39ee6bce72605d6768dd50",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "cdb48d7b7eaecde272d25a303e6c7c06bd6c13642844be6c780eb415410a4b9e",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 400,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 114,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 400,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "86cdf5a06b77c8ff57cd82cb8a814fd3ac0130ef55bdc03fe74dacbc4bc01f95",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "high_fanin",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 707514154,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "02252a8546c104e0808ab55ca181e8e32c181ae9ad0ccbe13c33f008474725f6",
+  "ref_rejected_requests": 0,
+  "requests": 114,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 157,
+  "state_hashes_sha256": "badb44d874c9262789e61561fee3a5d2bc83451c7e5d1f402bfaa7b462512101",
+  "steps": 400,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-timing-audit.json
new file mode 100644
index 0000000..83ba8a5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 100,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    8.997597694396973,
+    0.0
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1091565097,
+    0
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 100,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 100,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/compiled-code.json
new file mode 100644
index 0000000..c4b555f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    dt = _array_defaultclock_dt[0]\n    g = _array_default_neurons_g.copy()\n    lastspike = _array_default_neurons_lastspike\n    v = _array_default_neurons_v.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/generated-code.json
new file mode 100644
index 0000000..846a041
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    dt = _array_defaultclock_dt[0]\n    g = _array_default_neurons_g.copy()\n    lastspike = _array_default_neurons_lastspike\n    v = _array_default_neurons_v.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/input-audit.json
new file mode 100644
index 0000000..23c0bc4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "38d5b1a50b3c05c23f5652847e3598b1e7c9f9ad217442de0617054727b8c595",
+    "spec.json": "364c5597d7192b5c425b6b98dbaecc3ef913aadfb6c91d6567b1a91670b56eab"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 10.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "kc_ref_boundary",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 100,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/output-schema.json
new file mode 100644
index 0000000..493ec15
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      100,
+      4064
+    ],
+    "drive": [
+      100,
+      2
+    ],
+    "inhibition": [
+      100,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      100,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    100,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/queue-audit.json
new file mode 100644
index 0000000..aaad63e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 100,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 100,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/requests.csv
new file mode 100644
index 0000000..d312c11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/requests.csv
@@ -0,0 +1,7 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
+1,7784,1,0,1
+21,7784,1,0,1
+22,7784,1,1,0
+23,7784,1,0,1
+44,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/summary.json
new file mode 100644
index 0000000..82670ba
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/kc_ref_boundary/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "f915b04b78d1660e20f0f97874564454c97dc306a84ae0383cdb09b0ae5bf67f",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "64952ffb4b71350bc3c6d7db0743a76cc15928f199d41a8df031180d9ff011fe",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 100,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 3,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 100,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "6e702482c91247c306339d0ad9822550c8e560a8db1b50d91db775c7500701f7",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "kc_ref_boundary",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 563754506,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "72f55a0b9cc9bec5d5e066240b81ad6a44f85b97f0f6681f22ee5d41d459ed55",
+  "ref_rejected_requests": 3,
+  "requests": 6,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 4,
+  "state_hashes_sha256": "6dff6c90260330994a1f5bc5862dafb0258121aaf27a6b4c28ad94b28c0ffb1d",
+  "steps": 100,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-timing-audit.json
new file mode 100644
index 0000000..69af74d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 100,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    2.6759791374206543,
+    0.0
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1076577086,
+    0
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 100,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 100,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/compiled-code.json
new file mode 100644
index 0000000..d2f26d1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/generated-code.json
new file mode 100644
index 0000000..8b6c6d5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/input-audit.json
new file mode 100644
index 0000000..b54c236
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "1a4ba4d3e86b06300c645f6b02cba2d8927b8ef22003f91ccfaea39b5dc24b73",
+    "requests.npz": "ccaa5da628e1659f6b42a3400927cff598017d104485ca60010b45248a37eba3",
+    "spec.json": "e1006fbdfdd75ccc2e0c37635960036bcaec4604fb8ec7cc4658572bebd34c8a"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 10.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "natural_request",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 100,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/output-schema.json
new file mode 100644
index 0000000..493ec15
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      100,
+      4064
+    ],
+    "drive": [
+      100,
+      2
+    ],
+    "inhibition": [
+      100,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      100,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    100,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/queue-audit.json
new file mode 100644
index 0000000..aaad63e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 100,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 100,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/requests.csv
new file mode 100644
index 0000000..0e6f2b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/summary.json
new file mode 100644
index 0000000..b7ae208
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/natural_request/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "6652e316e26fdb7a1089fd8d586eecbb53d9643fa02c2f79722956fb70ce28d2",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "0fc3a97be508cf918cd7b0ff9c35d2ec2a269e1bf86b16919e522dff09517fcb",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 100,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 1,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 100,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "7601dfaea8202baf80d25587d5dfdd4c9e0483f5339c7d794e958000332f50bb",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "natural_request",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 637121503,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "6ed5f7b813bbae5230b8955f970ae6b0b140dd0eb33f5ea06cd2aad41f4dcae3",
+  "ref_rejected_requests": 0,
+  "requests": 1,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 2,
+  "state_hashes_sha256": "66acc728c7f38ccc29f5996c3d71f23682101964c70eb1d1296b81a499fad62b",
+  "steps": 100,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-timing-audit.json
new file mode 100644
index 0000000..1492a41
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 300,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    0.0,
+    0.48318585753440857
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    0,
+    1056400419
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 300,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 300,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 300,
+  "pending_generated_tick_stop_exclusive": 300,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 300,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/compiled-code.json
new file mode 100644
index 0000000..f5b0a2b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    dt = _array_defaultclock_dt[0]\n    t = _array_defaultclock_t[0]\n    rfc = _array_default_neurons_rfc\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/generated-code.json
new file mode 100644
index 0000000..cd14a57
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    dt = _array_defaultclock_dt[0]\n    t = _array_defaultclock_t[0]\n    rfc = _array_default_neurons_rfc\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/input-audit.json
new file mode 100644
index 0000000..6549d7b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "ac00687a2d58d91e72527f8833817588ec2caa1ad274b2694c0ef43e19bdb531",
+    "spec.json": "4ce8024cb7e7e29bd266a66ce7c51083f74ea0327529f1d98efbbb969868914f"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 30.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "pn_pulse",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 300,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/output-schema.json
new file mode 100644
index 0000000..9d84cb5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      300,
+      4064
+    ],
+    "drive": [
+      300,
+      2
+    ],
+    "inhibition": [
+      300,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      300,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    300,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/queue-audit.json
new file mode 100644
index 0000000..d91d929
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 300,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 300,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/requests.csv
new file mode 100644
index 0000000..2b073fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/summary.json
new file mode 100644
index 0000000..7cd2de5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/pn_pulse/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "5d3c55e13884d2a86296e3826d4ebab1ca491458fee90cbb11972b0d895c76aa",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "62e344358fdfc9467c52442a863d4091f609f33c6fe5070a8c5562cec8878e6e",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 300,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 1,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 300,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "cfb623e0cbddf4f5dc58384e4ef080cbfaf6330c8c02607d2a001e146bcf7d52",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "pn_pulse",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 549570670,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "9183c97b03f28017025534018cd82c55d5c050ed6bd9c912e36e06fe80776a98",
+  "ref_rejected_requests": 0,
+  "requests": 1,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 1,
+  "state_hashes_sha256": "09985efa2511d1efb1b4d44002e4e0c82c63a56596453553081285396b0a0a58",
+  "steps": 300,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-timing-audit.json
new file mode 100644
index 0000000..0750cc3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 300,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    6.207875728607178,
+    3.0469858646392822
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1086760683,
+    1078133201
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 300,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 300,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 300,
+  "pending_generated_tick_stop_exclusive": 300,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 300,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/compiled-code.json
new file mode 100644
index 0000000..49ec1d7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    lastspike = _array_default_neurons_lastspike\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/generated-code.json
new file mode 100644
index 0000000..f021886
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    lastspike = _array_default_neurons_lastspike\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/input-audit.json
new file mode 100644
index 0000000..d292845
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "8740c2ae2faa339f222a75155f7c824b12f37ed24f2e850fcadbe70db5ebde50",
+    "spec.json": "254cf85dc3e941a7290ec02505956074dd4c35b6a123e19c5149c1b75eaeae08"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 30.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "two_sources",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 300,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/output-schema.json
new file mode 100644
index 0000000..9d84cb5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      300,
+      4064
+    ],
+    "drive": [
+      300,
+      2
+    ],
+    "inhibition": [
+      300,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      300,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    300,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/queue-audit.json
new file mode 100644
index 0000000..d91d929
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 300,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 300,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/requests.csv
new file mode 100644
index 0000000..5d9ee95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/requests.csv
@@ -0,0 +1,11 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
+0,7784,1,1,0
+22,434,1,1,0
+22,7784,1,1,0
+44,434,1,1,0
+44,7784,1,1,0
+66,434,1,1,0
+66,7784,1,1,0
+88,434,1,1,0
+88,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/summary.json
new file mode 100644
index 0000000..2f7a728
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/two_sources/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "c31530f2d09305d73bd37438ca1ed7e1d2b3cedfcfe6e4cced94279377b32081",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "f0b9368850cf564b8bc8cc4a8ffce7d88d0f3bdbc18b060afe37a90684021648",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 300,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 10,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 300,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "05a62080eeeeedcaa00d0c4940485ee517980697546d037d7f8b78a724e4526f",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "two_sources",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 605950559,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "b5af9041389ca83f9054622b9b515a27f74c85848d039fcfa78959f34924821d",
+  "ref_rejected_requests": 0,
+  "requests": 10,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 13,
+  "state_hashes_sha256": "77167ce3a937b862b0876c8cda1588e7bdfa88825f59dda3788c9a4610b29e9e",
+  "steps": 300,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-timing-audit.json
new file mode 100644
index 0000000..4c5f3c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 0,
+  "applied_generated_rows": 100,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_nonzero": false,
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 100,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 100,
+  "pending_file_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "pending_generated_count": 0,
+  "pending_generated_tick_start": 100,
+  "pending_generated_tick_stop_exclusive": 100,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "pending_shape": [
+    0,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 100,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/compiled-code.json
new file mode 100644
index 0000000..307b622
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    lastspike = _array_default_neurons_lastspike\n    t = _array_defaultclock_t[0]\n    dt = _array_defaultclock_dt[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/generated-code.json
new file mode 100644
index 0000000..f70974c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    lastspike = _array_default_neurons_lastspike\n    t = _array_defaultclock_t[0]\n    dt = _array_defaultclock_dt[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/input-audit.json
new file mode 100644
index 0000000..28dd73f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 0,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "517b500f350b0825f7cc9c639beb62d06764de286b13e0835cb26c5f83ff106a",
+    "spec.json": "61f4e0bbd408f823e8d4dbeab8409911e0af9fadeb1eb81926d3e2a81c2acf38"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 0,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 10.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "zero",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 100,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/output-schema.json
new file mode 100644
index 0000000..493ec15
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 0,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      100,
+      4064
+    ],
+    "drive": [
+      100,
+      2
+    ],
+    "inhibition": [
+      100,
+      4064
+    ],
+    "pending_tail": [
+      0,
+      4064
+    ],
+    "state": [
+      100,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 0,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    100,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/queue-audit.json
new file mode 100644
index 0000000..aaad63e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 100,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 100,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/requests.csv
new file mode 100644
index 0000000..fc7863a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/requests.csv
@@ -0,0 +1 @@
+tick,neuron_idx,attempted,accepted,rejected
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/summary.json
new file mode 100644
index 0000000..1acb874
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay0/zero/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "429a69417d057704b5a9364e5dc9968d7a690c83f43b096c9284be47835d4c9f",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "3c2a5c3dfcbfa8529154fb7a9b107029ae01f9cf29407e32ca4cdeb6526ab33a",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "0ee93cffba47c3687fb11fa5623fe483ded774eb771715f4557a9d249015f358",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 100,
+  "apl_delay_steps": 0,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 0,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 100,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "zero",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 507377958,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 0,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    0,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "487cd06e47971aef19030eba81cd910a252354752fe9d275857d832420f28c86",
+  "ref_rejected_requests": 0,
+  "requests": 0,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 0,
+  "state_hashes_sha256": "351b5dfaad76fd9bfacb230a8d131d9d0b1af41771d49c50c1278d6b398d010d",
+  "steps": 100,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-timing-audit.json
new file mode 100644
index 0000000..fdf5f2c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 82,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_nonzero": false,
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 100,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_file_sha256": "f4c6097555e9bca1551d23df2751afd3d8ae6914559233707de894b51c9dd200",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 100,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/compiled-code.json
new file mode 100644
index 0000000..7e43ec2
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/generated-code.json
new file mode 100644
index 0000000..7801f2f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/input-audit.json
new file mode 100644
index 0000000..7871664
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "6b633838a29f5aee68f83e7fe97e95e5cf15063280a639114d404afb4dd5cbe8",
+    "spec.json": "3fb352a662be441922305b4faaa8a21c2603503892181564512571e85a90d1d6"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 10.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "apl_only",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 100,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/output-schema.json
new file mode 100644
index 0000000..0e22757
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      100,
+      4064
+    ],
+    "drive": [
+      100,
+      2
+    ],
+    "inhibition": [
+      100,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      100,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    100,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/queue-audit.json
new file mode 100644
index 0000000..aaad63e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 100,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 100,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/requests.csv
new file mode 100644
index 0000000..8eafc67
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/requests.csv
@@ -0,0 +1,3 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,502,1,1,0
+0,904,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/summary.json
new file mode 100644
index 0000000..99ea921
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/apl_only/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "429a69417d057704b5a9364e5dc9968d7a690c83f43b096c9284be47835d4c9f",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "f4c6097555e9bca1551d23df2751afd3d8ae6914559233707de894b51c9dd200",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "432865ff2eb3abc72948b18d963ef2498651a4e0aac43a7800ebce25d0c29a24",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 100,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 2,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 100,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "f42e10e38960132803d2eb1c3ccf3570e7a8d6618ed2d77d60bf830bf2c4812e",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "apl_only",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 873811613,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "306299f8fb7e6901ce92c3e146566f8ce1f65138090daefbbe367f013d2eebaa",
+  "ref_rejected_requests": 0,
+  "requests": 2,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 2,
+  "state_hashes_sha256": "e2936c94d40319270491846542963ea9439c94891008003edf2436366ee42e8e",
+  "steps": 100,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-timing-audit.json
new file mode 100644
index 0000000..0f3bdf0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 102,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    1.7472392320632935,
+    0.02430599182844162
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1071621513,
+    1019682140
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 120,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 120,
+  "pending_application_tick_stop_exclusive": 138,
+  "pending_file_sha256": "e514623eabc82bce17bc0c6d361f1c442668236676aef9caf893cb855ccb8d44",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 102,
+  "pending_generated_tick_stop_exclusive": 120,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "3bfbf7564b318282f98f8a3b19818328c93ca5b719afcce258d44b7b524d44f3",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 120,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/compiled-code.json
new file mode 100644
index 0000000..2f10066
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v.copy()\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/generated-code.json
new file mode 100644
index 0000000..0262289
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v.copy()\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/input-audit.json
new file mode 100644
index 0000000..e5a4bd0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "2b5c4d1491dd65ac70a2e23b8d4db9be7f0798fabff114c308a753ccb58a051f",
+    "spec.json": "999fcfbed858e38f7b1f2fd9d09af8f7ec0c7754cf0d43d5ee2565e2ff4487a1"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 12.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "arrival_collision",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 120,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/output-schema.json
new file mode 100644
index 0000000..36aefad
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      120,
+      4064
+    ],
+    "drive": [
+      120,
+      2
+    ],
+    "inhibition": [
+      120,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      120,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    120,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/queue-audit.json
new file mode 100644
index 0000000..294441b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 120,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 120,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/requests.csv
new file mode 100644
index 0000000..a9048c3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/requests.csv
@@ -0,0 +1,5 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,71,1,1,0
+0,38891,1,1,0
+18,88824,1,1,0
+21,38891,1,0,1
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/summary.json
new file mode 100644
index 0000000..608f15e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/arrival_collision/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "fcefb08a3c7bddb77dcc691b645168249fd202481efaf465d18e1b88331d39ee",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "e514623eabc82bce17bc0c6d361f1c442668236676aef9caf893cb855ccb8d44",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "8872f480162b16e9d13df73815348c970ffa576bfcad4d93fb5a2bb183eb5050",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 120,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 3,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 120,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "39136eaca57a5fc7eee6e4c41af79421a0e5931cdfba474e33949a775d5db53e",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "arrival_collision",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 843104430,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "a14e60c29eee17afa66692052d5aa7661c6269785a5672ab116b9ca096a247e0",
+  "ref_rejected_requests": 1,
+  "requests": 4,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 3,
+  "state_hashes_sha256": "4a9c8cb7e6aafa2a5d01ec1df913d00029c01137c7282d6cb32b3494ce1e9b19",
+  "steps": 120,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-mask-audit.json
new file mode 100644
index 0000000..28143e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 4064,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "a8c19cde743bd456bcb2e988d504f805b6943d6ceb97cd241d6e1e472ab5a591",
+  "count": 5845,
+  "effective_weights_file_sha256": "ac433da4b0ac3cdc20c526d99a7158c3dc2298b62c10784f9dcd7db1f089214b",
+  "effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-timing-audit.json
new file mode 100644
index 0000000..2decfd7
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 982,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    154.97776794433594,
+    160.13018798828125
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1125841487,
+    1126179156
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 1000,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 1000,
+  "pending_application_tick_stop_exclusive": 1018,
+  "pending_file_sha256": "2d190ab166a4c5af542629a0e09aca50f8ccdc2b756dfe21de1010075388b511",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 982,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "f0deb79fd65f4e200158fffbb1d559a632acbd8cc6dccafd865e0c1790a362ca",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 1000,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/compiled-code.json
new file mode 100644
index 0000000..00c4dc1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    t = _array_defaultclock_t[0]\n    dt = _array_defaultclock_dt[0]\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    g = _array_default_neurons_g.copy()\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_g[:] = g\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        w = _array_default_synapses_w[_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/generated-code.json
new file mode 100644
index 0000000..c02992f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    t = _array_defaultclock_t[0]\n    dt = _array_defaultclock_dt[0]\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    g = _array_default_neurons_g.copy()\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_g[:] = g\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        w = _array_default_synapses_w[_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/input-audit.json
new file mode 100644
index 0000000..3c990a1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/input-audit.json
@@ -0,0 +1,77 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "requests.npz": "d49fb00b3870c8e923c0e5fc903536c0d8985555e5052c23ebc6f963c8af5314",
+    "spec.json": "8fc9e0398031edeafafb21e4fc1a869ff18a72a0331e4ef172b0163eddf3bc89"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fb9033398abb7585ae63472ced9d8c8cab787f69965dc9ce5fa409ab105bc1bc",
+    "connectivity.parquet": "1362c1102b74f5552f4b01fca956574fd6252f749e31493c4a00a1bc9eab00b3",
+    "dst.npy": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "edge_id.npy": "49260615ff2b6432ce3dea9ce2c7ab8f83d06c2fb7491e58e08355fcedf86a30",
+    "nodes.npy": "5b511a98e8fbf8d65bbc70b93e75ecae19366f650b7842a45611bfad62ed83dc",
+    "ptr.npy": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "signed_raw.npy": "f9884ccb8930b32420b27c69271df78034a8350fe5a5c9b76a63c259268efc09",
+    "src.npy": "bfd625ce690fc21eb0a8b9dede831688ab73b789045ba83ddf4baeefeddf1fc3",
+    "weights.npy": "462839ffc3feb8f6c278044488082b1c8e410e7f23229d6b5e29d1b7042416a1"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 100.0,
+    "expected_external_events": 102.24431762695312,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+    "kind": "calibration",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "mode": "matched_energy",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "cal-matched_energy-00-s51101",
+    "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+    "odor_index": 0,
+    "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "rate_sum_hz": 1022.4431762695312,
+    "record_history": false,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "seed": 51101,
+    "steps": 1000,
+    "target_count": 48,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/output-schema.json
new file mode 100644
index 0000000..982e0a9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      1000,
+      4064
+    ],
+    "drive": [
+      1000,
+      2
+    ],
+    "inhibition": [
+      1000,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      1000,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": false,
+  "history_shape": [
+    1000,
+    166700
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/queue-audit.json
new file mode 100644
index 0000000..11368a5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 1000,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 1000,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/requests.csv
new file mode 100644
index 0000000..87ea45b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/requests.csv
@@ -0,0 +1,118 @@
+tick,neuron_idx,attempted,accepted,rejected
+1,522,1,1,0
+26,2010,1,1,0
+27,7679,1,1,0
+31,4311,1,1,0
+37,7781,1,1,0
+40,2601,1,1,0
+42,3345,1,1,0
+58,1011,1,1,0
+59,2493,1,1,0
+69,5519,1,1,0
+81,7679,1,1,0
+86,3252,1,1,0
+95,1514,1,1,0
+102,3252,1,0,1
+103,12644,1,1,0
+115,130497,1,1,0
+127,2970,1,1,0
+130,4505,1,0,1
+137,2010,1,1,0
+162,2029,1,1,0
+162,130472,1,1,0
+163,2010,1,1,0
+181,522,1,1,0
+190,10769,1,1,0
+195,360,1,1,0
+198,2493,1,1,0
+199,1011,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/summary.json
new file mode 100644
index 0000000..1234208
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-matched_energy-00-s51101/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "228218d929370f412387eddc969694178b025186ed4d226a17e57c2d46bf49d5",
+  "APL_fast_edges_zeroed": 5845,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "2d190ab166a4c5af542629a0e09aca50f8ccdc2b756dfe21de1010075388b511",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "d7b5126b8d5fee07d4bb398674a864d2c8005e5a46fc1728fbc46b0fc6180192",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 1000,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 5845,
+  "applicable_requests": 88,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 1000,
+  "edges": 25582938,
+  "effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
+  "events_sha256": "b18dddcb78d047d0f67e791750acc1c0efacc876756c7d6344439cd9860fc5ff",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": false,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 4064,
+  "name": "cal-matched_energy-00-s51101",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 166700,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 2036311224,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "5dc31a6a6d44931f6aac9bba21560277c11376b5a5ee18a99d86c220431d1a66",
+  "ref_rejected_requests": 29,
+  "requests": 117,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 29368,
+  "state_hashes_sha256": "818e8bdf73e841723fa60e671d18bf9f74b9025ec31e339d578845f63cb130ee",
+  "steps": 1000,
+  "weights_sha256": "ac433da4b0ac3cdc20c526d99a7158c3dc2298b62c10784f9dcd7db1f089214b"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-mask-audit.json
new file mode 100644
index 0000000..28143e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 4064,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "a8c19cde743bd456bcb2e988d504f805b6943d6ceb97cd241d6e1e472ab5a591",
+  "count": 5845,
+  "effective_weights_file_sha256": "ac433da4b0ac3cdc20c526d99a7158c3dc2298b62c10784f9dcd7db1f089214b",
+  "effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "78d88b017b336f9c72a230680a39a9c4e74fedeff6fbb7b9c8641f30cb15e72b",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-timing-audit.json
new file mode 100644
index 0000000..57f6e32
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 982,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    153.00985717773438,
+    167.6389617919922
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1125712518,
+    1126671251
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 1000,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 1000,
+  "pending_application_tick_stop_exclusive": 1018,
+  "pending_file_sha256": "830e2f33958a35666f61a219c72025b06970f1043971310f56f112253c6c816d",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 982,
+  "pending_generated_tick_stop_exclusive": 1000,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "b00649dc7bc0e1baf2b4c5b9ca30e426f009a1a65a003d548b15c2f8cf38d434",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 1000,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/compiled-code.json
new file mode 100644
index 0000000..a2c39c4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    dt = _array_defaultclock_dt[0]\n    lastspike = _array_default_neurons_lastspike\n    g = _array_default_neurons_g.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        w = _array_default_synapses_w[_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/generated-code.json
new file mode 100644
index 0000000..229708d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    dt = _array_defaultclock_dt[0]\n    lastspike = _array_default_neurons_lastspike\n    g = _array_default_neurons_g.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    rfc = _array_default_neurons_rfc\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        w = _array_default_synapses_w[_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/input-audit.json
new file mode 100644
index 0000000..a9751a0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/input-audit.json
@@ -0,0 +1,77 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "requests.npz": "9f87b434e8da524ce31b4563ad89ab47189dc7035c9f827840f3250aad81083d",
+    "spec.json": "acb231fe2f6ee50a48bdd9abb1fd7422d7a77b6a471ad4e5793ef9a4ba9f9c4c"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fb9033398abb7585ae63472ced9d8c8cab787f69965dc9ce5fa409ab105bc1bc",
+    "connectivity.parquet": "1362c1102b74f5552f4b01fca956574fd6252f749e31493c4a00a1bc9eab00b3",
+    "dst.npy": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150",
+    "edge_id.npy": "49260615ff2b6432ce3dea9ce2c7ab8f83d06c2fb7491e58e08355fcedf86a30",
+    "nodes.npy": "5b511a98e8fbf8d65bbc70b93e75ecae19366f650b7842a45611bfad62ed83dc",
+    "ptr.npy": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4",
+    "signed_raw.npy": "f9884ccb8930b32420b27c69271df78034a8350fe5a5c9b76a63c259268efc09",
+    "src.npy": "bfd625ce690fc21eb0a8b9dede831688ab73b789045ba83ddf4baeefeddf1fc3",
+    "weights.npy": "462839ffc3feb8f6c278044488082b1c8e410e7f23229d6b5e29d1b7042416a1"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 100.0,
+    "expected_external_events": 105.90211181640625,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full",
+    "kind": "calibration",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "mode": "physiological",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "cal-physiological-00-s51101",
+    "odor_id": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+    "odor_index": 0,
+    "odor_name": "ethyl (R)-(-)-3-hydroxybutanoate",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "rate_sum_hz": 1059.0211181640625,
+    "record_history": false,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "seed": 51101,
+    "steps": 1000,
+    "target_count": 48,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/output-schema.json
new file mode 100644
index 0000000..982e0a9
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      1000,
+      4064
+    ],
+    "drive": [
+      1000,
+      2
+    ],
+    "inhibition": [
+      1000,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      1000,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": false,
+  "history_shape": [
+    1000,
+    166700
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/queue-audit.json
new file mode 100644
index 0000000..11368a5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 1000,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 1000,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/requests.csv
new file mode 100644
index 0000000..515b901
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/requests.csv
@@ -0,0 +1,122 @@
+tick,neuron_idx,attempted,accepted,rejected
+1,522,1,1,0
+26,2010,1,1,0
+27,7679,1,1,0
+31,4311,1,1,0
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diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/summary.json
new file mode 100644
index 0000000..3818796
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/cal-physiological-00-s51101/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "02576a8aea786e600bc165d53a1d13853489b3e5d27ddd38c28e1a6d888b85de",
+  "APL_fast_edges_zeroed": 5845,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "830e2f33958a35666f61a219c72025b06970f1043971310f56f112253c6c816d",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "5106f691b5f29d2264eb10327a9cb690faaa2f5ab9863d021ca3a23e2b3d1e22",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 1000,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 5845,
+  "applicable_requests": 93,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 1000,
+  "edges": 25582938,
+  "effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
+  "events_sha256": "c3fae1b29cc5cecc42dae1df26f27e916031a96f17fe7352d7d04d8efc84fce6",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": false,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 4064,
+  "name": "cal-physiological-00-s51101",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 166700,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 1759755793,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "60ed68d5b5f038836eee21462e0f27c96b452cb1f72671f051784378be615830",
+  "ref_rejected_requests": 28,
+  "requests": 121,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 29672,
+  "state_hashes_sha256": "d66cbd41b70337274e5c19721ebbf673bd8b68aef931bde9c16ac4d056d631a2",
+  "steps": 1000,
+  "weights_sha256": "ac433da4b0ac3cdc20c526d99a7158c3dc2298b62c10784f9dcd7db1f089214b"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-timing-audit.json
new file mode 100644
index 0000000..76e040d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 382,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    21.19933319091797,
+    16.401752471923828
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1101633596,
+    1099118282
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 400,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 400,
+  "pending_application_tick_stop_exclusive": 418,
+  "pending_file_sha256": "c3d9819ada9bc203974cdf8ed98a7cbea387894da48c7287e268ae0d90cc7125",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 382,
+  "pending_generated_tick_stop_exclusive": 400,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "8e42761721e6457d8c7917d69267cd5919182137bfaf9cfb1e8933e4b41239ce",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 400,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/compiled-code.json
new file mode 100644
index 0000000..7fa984a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    lastspike = _array_default_neurons_lastspike\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    t = _array_defaultclock_t[0]\n    g = _array_default_neurons_g.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/generated-code.json
new file mode 100644
index 0000000..b251065
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    lastspike = _array_default_neurons_lastspike\n    dt = _array_defaultclock_dt[0]\n    v = _array_default_neurons_v.copy()\n    t = _array_defaultclock_t[0]\n    g = _array_default_neurons_g.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/input-audit.json
new file mode 100644
index 0000000..0114491
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "61d667618406364f38d34a9eb2af328a74c662b17b63dc9ac33f90ab06952df7",
+    "requests.npz": "817f0fb0919c87927068fb4923854e2d2bfd1f362a6401695a26127ac032e019",
+    "spec.json": "182348271356340a6c0e9982dc5104b349ffc02e703384a6cca6603f59faed40"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 40.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "high_fanin",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 400,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/output-schema.json
new file mode 100644
index 0000000..8b4436b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      400,
+      4064
+    ],
+    "drive": [
+      400,
+      2
+    ],
+    "inhibition": [
+      400,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      400,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    400,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/queue-audit.json
new file mode 100644
index 0000000..35a1402
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 400,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 400,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/requests.csv
new file mode 100644
index 0000000..729f031
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/requests.csv
@@ -0,0 +1,115 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,30,1,1,0
+0,71,1,1,0
+0,112,1,1,0
+0,120,1,1,0
+0,189,1,1,0
+0,296,1,1,0
+0,434,1,1,0
+0,484,1,1,0
+0,522,1,1,0
+0,530,1,1,0
+0,728,1,1,0
+0,813,1,1,0
+0,1590,1,1,0
+0,2010,1,1,0
+0,2160,1,1,0
+0,3252,1,1,0
+0,5693,1,1,0
+0,7784,1,1,0
+0,10679,1,1,0
+0,13533,1,1,0
+0,20721,1,1,0
+0,23644,1,1,0
+0,23943,1,1,0
+0,27845,1,1,0
+0,30590,1,1,0
+0,33250,1,1,0
+0,33327,1,1,0
+0,38891,1,1,0
+0,57446,1,1,0
+0,58405,1,1,0
+0,82235,1,1,0
+0,82312,1,1,0
+0,88824,1,1,0
+0,100135,1,1,0
+0,107868,1,1,0
+0,120835,1,1,0
+0,130612,1,1,0
+0,133666,1,1,0
+22,30,1,1,0
+22,71,1,1,0
+22,112,1,1,0
+22,120,1,1,0
+22,189,1,1,0
+22,296,1,1,0
+22,434,1,1,0
+22,484,1,1,0
+22,522,1,1,0
+22,530,1,1,0
+22,728,1,1,0
+22,813,1,1,0
+22,1590,1,1,0
+22,2010,1,1,0
+22,2160,1,1,0
+22,3252,1,1,0
+22,5693,1,1,0
+22,7784,1,1,0
+22,10679,1,1,0
+22,13533,1,1,0
+22,20721,1,1,0
+22,23644,1,1,0
+22,23943,1,1,0
+22,27845,1,1,0
+22,30590,1,1,0
+22,33250,1,1,0
+22,33327,1,1,0
+22,38891,1,1,0
+22,57446,1,1,0
+22,58405,1,1,0
+22,82235,1,1,0
+22,82312,1,1,0
+22,88824,1,1,0
+22,100135,1,1,0
+22,107868,1,1,0
+22,120835,1,1,0
+22,130612,1,1,0
+22,133666,1,1,0
+44,30,1,1,0
+44,71,1,1,0
+44,112,1,1,0
+44,120,1,1,0
+44,189,1,1,0
+44,296,1,1,0
+44,434,1,1,0
+44,484,1,1,0
+44,522,1,1,0
+44,530,1,1,0
+44,728,1,1,0
+44,813,1,1,0
+44,1590,1,1,0
+44,2010,1,1,0
+44,2160,1,1,0
+44,3252,1,1,0
+44,5693,1,1,0
+44,7784,1,1,0
+44,10679,1,1,0
+44,13533,1,1,0
+44,20721,1,1,0
+44,23644,1,1,0
+44,23943,1,1,0
+44,27845,1,1,0
+44,30590,1,1,0
+44,33250,1,1,0
+44,33327,1,1,0
+44,38891,1,1,0
+44,57446,1,1,0
+44,58405,1,1,0
+44,82235,1,1,0
+44,82312,1,1,0
+44,88824,1,1,0
+44,100135,1,1,0
+44,107868,1,1,0
+44,120835,1,1,0
+44,130612,1,1,0
+44,133666,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/summary.json
new file mode 100644
index 0000000..1944d70
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/high_fanin/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "f736e880d7e5a0686275e1b2be8d2c65268998df9c7e3e63862157cde395ace5",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "c3d9819ada9bc203974cdf8ed98a7cbea387894da48c7287e268ae0d90cc7125",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "4d4ca8e0260b7f7fe271230090007026de7b5b0c4697e7671a85bd2c9fa6e67c",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 400,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 114,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 400,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "86cdf5a06b77c8ff57cd82cb8a814fd3ac0130ef55bdc03fe74dacbc4bc01f95",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "high_fanin",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 931190433,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "02252a8546c104e0808ab55ca181e8e32c181ae9ad0ccbe13c33f008474725f6",
+  "ref_rejected_requests": 0,
+  "requests": 114,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 157,
+  "state_hashes_sha256": "57b02271a785b9ed8cfb94aa1e286443a71164e1b1f4a27039085b15d5cb90c8",
+  "steps": 400,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-timing-audit.json
new file mode 100644
index 0000000..651d69a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 82,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    8.997597694396973,
+    0.0
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1091565097,
+    0
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 100,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_file_sha256": "bad1287e543dacacbc0150fda8c9a40d8d0739a8bd58f776203775d394200019",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "5ecef0c2af43cad7184f9934781a20d5da400b9fa7ca42dbd8b3e97740af2206",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 100,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/compiled-code.json
new file mode 100644
index 0000000..749813b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    g = _array_default_neurons_g.copy()\n    lastspike = _array_default_neurons_lastspike\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    dt = _array_defaultclock_dt[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/generated-code.json
new file mode 100644
index 0000000..d86b457
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    g = _array_default_neurons_g.copy()\n    lastspike = _array_default_neurons_lastspike\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    dt = _array_defaultclock_dt[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/input-audit.json
new file mode 100644
index 0000000..a312700
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "38d5b1a50b3c05c23f5652847e3598b1e7c9f9ad217442de0617054727b8c595",
+    "spec.json": "e84be68bc75f5683ef3af3fd838c7d1875d63f2f77bce59821bff7f09c1e2725"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 10.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "kc_ref_boundary",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 100,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/output-schema.json
new file mode 100644
index 0000000..0e22757
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      100,
+      4064
+    ],
+    "drive": [
+      100,
+      2
+    ],
+    "inhibition": [
+      100,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      100,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    100,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/queue-audit.json
new file mode 100644
index 0000000..aaad63e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 100,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 100,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/requests.csv
new file mode 100644
index 0000000..d312c11
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/requests.csv
@@ -0,0 +1,7 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
+1,7784,1,0,1
+21,7784,1,0,1
+22,7784,1,1,0
+23,7784,1,0,1
+44,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/summary.json
new file mode 100644
index 0000000..710d8d5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/kc_ref_boundary/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "103d34563197b339b98bcbc08c60829f0eea0a580811cb50cba9c783a3a37897",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "bad1287e543dacacbc0150fda8c9a40d8d0739a8bd58f776203775d394200019",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "6ebb31410900e5195b2e00f947e912f37078ef84731003c863b7e0df60750a54",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 100,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 3,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 100,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "6e702482c91247c306339d0ad9822550c8e560a8db1b50d91db775c7500701f7",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "kc_ref_boundary",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 781582955,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "72f55a0b9cc9bec5d5e066240b81ad6a44f85b97f0f6681f22ee5d41d459ed55",
+  "ref_rejected_requests": 3,
+  "requests": 6,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 4,
+  "state_hashes_sha256": "9bc3c890450af2e72e6a92104c48786ee589ee56b92db49587cfdaf366b8f369",
+  "steps": 100,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-timing-audit.json
new file mode 100644
index 0000000..e270633
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 82,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    2.6759791374206543,
+    0.0
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1076577086,
+    0
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 100,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_file_sha256": "db76d3dea63c8e8512fbecc50b85035dfaf8df0f7e39e0127ceb3edc171f29c2",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "0018154b9986d41042f595c8edfc7d8ea11c826130a55ddeb3eca006a946e668",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 100,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/compiled-code.json
new file mode 100644
index 0000000..7801896
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/generated-code.json
new file mode 100644
index 0000000..5c7d2c4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    dt = _array_defaultclock_dt[0]\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/input-audit.json
new file mode 100644
index 0000000..82b05fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "1a4ba4d3e86b06300c645f6b02cba2d8927b8ef22003f91ccfaea39b5dc24b73",
+    "requests.npz": "ccaa5da628e1659f6b42a3400927cff598017d104485ca60010b45248a37eba3",
+    "spec.json": "e418a1faaeacf76104a5ac7ea431dbaeca72c125da16f18a824e7871f0081c44"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 10.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "natural_request",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 100,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/output-schema.json
new file mode 100644
index 0000000..0e22757
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      100,
+      4064
+    ],
+    "drive": [
+      100,
+      2
+    ],
+    "inhibition": [
+      100,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      100,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    100,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/queue-audit.json
new file mode 100644
index 0000000..aaad63e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 100,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 100,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/requests.csv
new file mode 100644
index 0000000..0e6f2b0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/summary.json
new file mode 100644
index 0000000..4537b7d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/natural_request/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "ffeb17f0365cf5b34f52c88d830fefd7c1f758df3034c88cc42cdb9820d1f1db",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "db76d3dea63c8e8512fbecc50b85035dfaf8df0f7e39e0127ceb3edc171f29c2",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "5e549b5d683e4f540405c6de6d133dd5096dc3c3be6e91a8a0748045f348f705",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 100,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 1,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 100,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "7601dfaea8202baf80d25587d5dfdd4c9e0483f5339c7d794e958000332f50bb",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "natural_request",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 858458638,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "6ed5f7b813bbae5230b8955f970ae6b0b140dd0eb33f5ea06cd2aad41f4dcae3",
+  "ref_rejected_requests": 0,
+  "requests": 1,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 2,
+  "state_hashes_sha256": "93e3854b6a66f3d8dd1a955e99c52083b85f991593cb51facfcceaab5b9a089c",
+  "steps": 100,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-timing-audit.json
new file mode 100644
index 0000000..5687c2c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 282,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    0.0,
+    0.48318585753440857
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    0,
+    1056400419
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 300,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 318,
+  "pending_file_sha256": "a054f39e4a76caa3fa44cf073c2d007cd2e903bb4dad585f080cd681f1965781",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 282,
+  "pending_generated_tick_stop_exclusive": 300,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "66ddf2ab2f7c848a663877397c1fda34b6c4dbbccfe74af3fbcf24672ead56ce",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 300,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/compiled-code.json
new file mode 100644
index 0000000..c118154
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    dt = _array_defaultclock_dt[0]\n    g = _array_default_neurons_g.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/generated-code.json
new file mode 100644
index 0000000..a31d401
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    rfc = _array_default_neurons_rfc\n    lastspike = _array_default_neurons_lastspike\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    t = _array_defaultclock_t[0]\n    v = _array_default_neurons_v.copy()\n    dt = _array_defaultclock_dt[0]\n    g = _array_default_neurons_g.copy()\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_not_refractory[:] = not_refractory\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    not_refractory = _array_default_neurons_not_refractory\n    v = _array_default_neurons_v\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_t = _array_defaultclock_t[0]\n            _source_i = _array_default_neurons_i[_idx]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_v[_idx] = v\n    _array_default_neurons_g[_idx] = g\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/input-audit.json
new file mode 100644
index 0000000..47e928f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "ac00687a2d58d91e72527f8833817588ec2caa1ad274b2694c0ef43e19bdb531",
+    "spec.json": "fe473fdc38dd11895eb508ab21d3f33cea5ab98b739731ede020fce65e66bec5"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 30.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "pn_pulse",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 300,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/output-schema.json
new file mode 100644
index 0000000..9ef9f17
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      300,
+      4064
+    ],
+    "drive": [
+      300,
+      2
+    ],
+    "inhibition": [
+      300,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      300,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    300,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/queue-audit.json
new file mode 100644
index 0000000..d91d929
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 300,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 300,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/requests.csv
new file mode 100644
index 0000000..2b073fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/requests.csv
@@ -0,0 +1,2 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/summary.json
new file mode 100644
index 0000000..3a3914e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/pn_pulse/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "6ff37846b4cd956236ed8b85321796dbb6e8ea09f66a5c18ff82b770cb825f20",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "a054f39e4a76caa3fa44cf073c2d007cd2e903bb4dad585f080cd681f1965781",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "1a9a0986c6d3aec1fb481c52f8870f3172fa8371055d6e912eeec28da4c66f21",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 300,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 1,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 300,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "cfb623e0cbddf4f5dc58384e4ef080cbfaf6330c8c02607d2a001e146bcf7d52",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "pn_pulse",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 766229541,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "9183c97b03f28017025534018cd82c55d5c050ed6bd9c912e36e06fe80776a98",
+  "ref_rejected_requests": 0,
+  "requests": 1,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 1,
+  "state_hashes_sha256": "90fe7be85f8ac5be5eb991ff1ef68d7eae1bd314657f1d5455e593d2c2c7f44e",
+  "steps": 300,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-timing-audit.json
new file mode 100644
index 0000000..52e63fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 282,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    6.207875728607178,
+    3.0469858646392822
+  ],
+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
+    1086760683,
+    1078133201
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 300,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 300,
+  "pending_application_tick_stop_exclusive": 318,
+  "pending_file_sha256": "5c3c3d6d11b5d596d35ca5a0ca315bc2e412fdab96a5b5d0f22f6c249367f9ea",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 282,
+  "pending_generated_tick_stop_exclusive": 300,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "0b23ce9de04b156fc1c955e74c0c245cae785a456d85b6e5060678a50ef27bd8",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 300,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/compiled-code.json
new file mode 100644
index 0000000..eec9f52
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    lastspike = _array_default_neurons_lastspike\n    g = _array_default_neurons_g.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    t = _array_defaultclock_t[0]\n    rfc = _array_default_neurons_rfc\n    dt = _array_defaultclock_dt[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/generated-code.json
new file mode 100644
index 0000000..5967c80
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    lastspike = _array_default_neurons_lastspike\n    g = _array_default_neurons_g.copy()\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    t = _array_defaultclock_t[0]\n    rfc = _array_default_neurons_rfc\n    dt = _array_defaultclock_dt[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_not_refractory[:] = not_refractory\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "after_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nbefore_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/input-audit.json
new file mode 100644
index 0000000..8926c5e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "8740c2ae2faa339f222a75155f7c824b12f37ed24f2e850fcadbe70db5ebde50",
+    "spec.json": "18b06c397fb9c765ba2b7929eb55a7049bc26c84262b19dfee06068a9ae468e4"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 30.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "two_sources",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 300,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/output-schema.json
new file mode 100644
index 0000000..9ef9f17
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      300,
+      4064
+    ],
+    "drive": [
+      300,
+      2
+    ],
+    "inhibition": [
+      300,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      300,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    300,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/queue-audit.json
new file mode 100644
index 0000000..d91d929
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 300,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 300,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/requests.csv
new file mode 100644
index 0000000..5d9ee95
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/requests.csv
@@ -0,0 +1,11 @@
+tick,neuron_idx,attempted,accepted,rejected
+0,434,1,1,0
+0,7784,1,1,0
+22,434,1,1,0
+22,7784,1,1,0
+44,434,1,1,0
+44,7784,1,1,0
+66,434,1,1,0
+66,7784,1,1,0
+88,434,1,1,0
+88,7784,1,1,0
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/summary.json
new file mode 100644
index 0000000..a10def3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/two_sources/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "038601c96dcc899e5b44ab43292a584376a8cad3d43286398fe80a3c1ac5f2ae",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
+  "APL_pending_tail_sha256": "5c3c3d6d11b5d596d35ca5a0ca315bc2e412fdab96a5b5d0f22f6c249367f9ea",
+  "APL_precision": "float32",
+  "APL_timing_audit_sha256": "3163ec0f207c984ec2dbfca0746085be2f13cfca4e20da4291bb7e6ea304c55e",
+  "APL_transport_shift_exact": true,
+  "APL_worker_exit_status": 0,
+  "APL_worker_ticks": 300,
+  "apl_delay_steps": 18,
+  "apl_fast_edges_zeroed": 50,
+  "applicable_requests": 10,
+  "backend": "shared-APL-component closed-loop Brian2 oracle",
+  "candidate_trace_used_as_input": false,
+  "complete": true,
+  "completed_ticks": 300,
+  "edges": 287,
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "events_sha256": "05a62080eeeeedcaa00d0c4940485ee517980697546d037d7f8b78a724e4526f",
+  "future_generated_decay_tail_included": false,
+  "history_recorded": true,
+  "independent_CPU_all_components_claim": false,
+  "initial_zero_prefix": 0,
+  "kc_targets_present": 20,
+  "name": "two_sources",
+  "no_poi": true,
+  "no_training": true,
+  "nodes": 44,
+  "output_budget_bytes": 25769803776,
+  "output_bytes_before_summary": 824948570,
+  "pass_all": true,
+  "pass_all_scope": "Oracle construction, protocol and internal self-checks only; candidate comparison is a separate gate",
+  "pending_generated_count": 18,
+  "pending_initial_zero_prefix": 0,
+  "pending_tail_shape": [
+    18,
+    4064
+  ],
+  "precision": "float64",
+  "queue_sha256": "b5af9041389ca83f9054622b9b515a27f74c85848d039fcfa78959f34924821d",
+  "ref_rejected_requests": 0,
+  "requests": 10,
+  "scope": "Only this fixed trajectory; legacy Torch APL is a shared numerical component, not an independent CPU APL implementation",
+  "single_continuous_run": true,
+  "source_and_inputs_unchanged": true,
+  "spikes": 13,
+  "state_hashes_sha256": "ff873858585367bed3616d03a3db97ab294c652cdd8054f5e4f175f985b0b503",
+  "steps": 300,
+  "weights_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-mask-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-mask-audit.json
new file mode 100644
index 0000000..bdfb8ee
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-mask-audit.json
@@ -0,0 +1,12 @@
+{
+  "KC_targets_in_case": 20,
+  "base_graph_files_modified": false,
+  "base_weight_raw_bytes_sha256": "41992774ca397eadc8b51d199c8ca6950567f363c5eebdeb7542f3a6ec8f2585",
+  "count": 50,
+  "effective_weights_file_sha256": "815a82e033b1f70f42595c15ad36677692521bde0befc558c34cfab624b38406",
+  "effective_weights_raw_sha256": "4f55a48a0b1e07e26b5fa132bb6a9ed87194f254ab832b4c7e9657b52cd375c6",
+  "fullgraph_required_mask_count": 5845,
+  "graded_targets": "only KC identities present in this LIF case",
+  "ordered_original_edge_id_sha256": "24009dd051cb88d5383254c72b2c6b15d7c8cb441cacb756804ddde6fac4c825",
+  "rule": "zero +0 all existing fast edges whose source GLOBAL neuron is in apl_globals; no graph edge removal"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-timing-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-timing-audit.json
new file mode 100644
index 0000000..fdf5f2c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-timing-audit.json
@@ -0,0 +1,39 @@
+{
+  "APL_generation_steps_after_window": 0,
+  "apl_delay_steps": 18,
+  "applied_generated_rows": 82,
+  "brain_steps_after_window": 0,
+  "brain_tail_advanced": false,
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "delay_implementation": "independent list FIFO; no candidate or timing_queue imports",
+  "final_apl_state_float32": [
+    0.0,
+    0.0
+  ],
+  "final_apl_state_nonzero": false,
+  "final_apl_state_u32_bits": [
+    0,
+    0
+  ],
+  "finite_generated_sequence_partition_exact": true,
+  "future_apl_decay_or_feedback_generated": false,
+  "future_generated_decay_tail_included": false,
+  "generated_rows": 100,
+  "initial_zero_prefix": 0,
+  "meaning": "Tail contains only already generated h and any remaining initial-zero padding; never a complete future closed-loop or decay tail",
+  "pending_application_tick_start": 100,
+  "pending_application_tick_stop_exclusive": 118,
+  "pending_file_sha256": "f4c6097555e9bca1551d23df2751afd3d8ae6914559233707de894b51c9dd200",
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 82,
+  "pending_generated_tick_stop_exclusive": 100,
+  "pending_initial_zero_prefix": 0,
+  "pending_raw_sha256": "81cc5530fab22979a78429b863d208e62d9249ddff3a0a06de0edbda0c688aaf",
+  "pending_shape": [
+    18,
+    4064
+  ],
+  "positive_zero_warmup_exact": true,
+  "steps": 100,
+  "transport_shift_exact": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-worker-handshake.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-worker-handshake.json
new file mode 100644
index 0000000..bbaffe4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-worker-handshake.json
@@ -0,0 +1,56 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "--bundle-dir",
+    "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "--dt-ms",
+    "0.1"
+  ],
+  "handshake": {
+    "array_sha256": {
+      "apl_globals.npy": "979ef88dff30d41168ce9b377a006ccb3cd034b2dce86d54923ca0f4b87cb6a6",
+      "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+      "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+      "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+    },
+    "decay_f32_bits": "3f7eb923",
+    "dt_ms": 0.1,
+    "environment": {
+      "CUBLAS_WORKSPACE_CONFIG": null,
+      "cuda": "13.0",
+      "cuda_matmul_allow_tf32": false,
+      "cudnn": 92400,
+      "cudnn_allow_tf32": true,
+      "cudnn_benchmark": false,
+      "cudnn_deterministic": false,
+      "deterministic_algorithms": false,
+      "device_capability": [
+        8,
+        9
+      ],
+      "device_index": 0,
+      "device_name": "NVIDIA GeForce RTX 4090",
+      "float32_matmul_precision": "highest",
+      "numpy": "2.2.6",
+      "precision_configuration_changed_by_component": false,
+      "torch": "2.14.0+cu130"
+    },
+    "files_sha256": {
+      "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+      "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+      "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+      "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+    },
+    "gain_f32_bits": "3c23d70a",
+    "h_units": "legacy mV",
+    "initial_state": "float32 zeros",
+    "n_apl": 2,
+    "n_kc": 4064,
+    "n_neurons": 166700,
+    "ok": true,
+    "operator_sequence": "state.mul_(decay32); drive=mv(I32,spikes32); state.add_(drive); h=matmul(state,O32)*gain32",
+    "protocol": "phase4ag-apl-v1"
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-worker.stderr.log b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/apl-worker.stderr.log
new file mode 100644
index 0000000..e69de29
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/coefficients.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/coefficients.json
new file mode 100644
index 0000000..48ffa23
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/coefficients.json
@@ -0,0 +1,72 @@
+{
+  "c0": -0.00025935108198051754,
+  "cg": 0.004937935295309027,
+  "cv": 0.9950124791926823,
+  "gd": 0.9801986733067553,
+  "metadata": {
+    "constant_values_are_double": true,
+    "float32_execution_note": "Brian NumPy scalar/array promotion and operation order must be matched separately; double coefficients alone do not assert float64 intermediate array arithmetic.",
+    "g_expression": "gd * old_g",
+    "hex": {
+      "c0": "-0x1.0ff306a505980p-12",
+      "cg": "0x1.439cce9a65d5bp-8",
+      "cv": "0x1.fd7246927d28bp-1",
+      "gd": "0x1.f5dc99badec5bp-1",
+      "reset": "-0x1.a9fbe76c8b43ap-5",
+      "seed_volt": "-0x1.6872b020c49bap-5",
+      "threshold": "-0x1.70a3d70a3d70ap-5"
+    },
+    "names": {
+      "c0": "_lio_8",
+      "cg": "_lio_9",
+      "cv": "_lio_10",
+      "gd": "_lio_2"
+    },
+    "provenance": {
+      "c0": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_8",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cg": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_9",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "cv": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_10",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "gd": {
+        "code_object": "default_neurons_stateupdater_codeobject_1",
+        "name": "_lio_2",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "reset": {
+        "code_object": "default_neurons_spike_resetter_codeobject_1",
+        "name": "v_rst",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      },
+      "seed_volt": {
+        "source": "common request interface: unchanged v_th + 1 mV"
+      },
+      "threshold": {
+        "code_object": "default_neurons_spike_thresholder_codeobject_1",
+        "name": "v_th",
+        "namespace_dtype": "float64",
+        "source": "CodeObject.namespace"
+      }
+    },
+    "units": "SI volts and dimensionless coefficients",
+    "voltage_expression": "c0 + ((cg * old_g) + (cv * old_v))"
+  },
+  "reset": -0.052000000000000005,
+  "seed_volt": -0.044,
+  "threshold": -0.045
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/compiled-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/compiled-code.json
new file mode 100644
index 0000000..e7ee274
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/compiled-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    t = _array_defaultclock_t[0]\n    lastspike = _array_default_neurons_lastspike\n    dt = _array_defaultclock_dt[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/environment.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/environment.json
new file mode 100644
index 0000000..e7885d3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/environment.json
@@ -0,0 +1,17 @@
+{
+  "APL_precision": "float32 in separate science-Python process",
+  "Torch_imported_into_Brian": false,
+  "author_precision": "float64",
+  "codegen": "numpy",
+  "packages": {
+    "brian2": "2.5.1",
+    "cython": "0.29.33",
+    "numpy": "1.22.3",
+    "pandas": "1.4.3",
+    "pyarrow": "11.0.0",
+    "scipy": "1.8.1",
+    "sympy": "1.12"
+  },
+  "platform": "Linux-5.15.0-194-generic-x86_64-with-glibc2.35",
+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/generated-code.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/generated-code.json
new file mode 100644
index 0000000..4db0972
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/generated-code.json
@@ -0,0 +1,124 @@
+[
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_neurons",
+    "order": 0,
+    "type": "NeuronGroup",
+    "when": "start"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "default_synapses",
+    "order": 0,
+    "type": "Synapses",
+    "when": "start"
+  },
+  {
+    "abstract_code": "not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n_g = g*exp(-dt*int(not_refractory)/tau)\n_v = g*tau*(-exp(dt*int(not_refractory)/t_mbr) + exp(dt*int(not_refractory)/tau))*exp(-dt*int(not_refractory)/t_mbr)*exp(-dt*int(not_refractory)/tau)/(t_mbr - tau) + v*exp(-dt*int(not_refractory)/t_mbr) + v_0 - v_0*exp(-dt*int(not_refractory)/t_mbr)\ng = _g\nv = _v",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    dt = _array_defaultclock_dt[0]\n    _lio_1 = (- dt) / tau\n    _lio_2 = exp(_lio_1)\n    _lio_3 = tau / (t_mbr - tau)\n    _lio_4 = dt / t_mbr\n    _lio_5 = dt / tau\n    _lio_6 = (- dt) / t_mbr\n    _lio_7 = v_0 - v_0\n    _lio_8 = v_0 - (v_0 * exp(_lio_6))\n    _lio_9 = ((_lio_3 * ((- exp(_lio_4)) + exp(_lio_5))) * exp(_lio_6)) * exp(_lio_1)\n    _lio_10 = exp(_lio_6)\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    g = _array_default_neurons_g.copy()\n    rfc = _array_default_neurons_rfc\n    not_refractory = _array_default_neurons_not_refractory.copy()\n    v = _array_default_neurons_v.copy()\n    t = _array_defaultclock_t[0]\n    lastspike = _array_default_neurons_lastspike\n    dt = _array_defaultclock_dt[0]\n    not_refractory = timestep(t - lastspike, dt) >= timestep(rfc, dt)\n    _g = _numpy.where(not_refractory, _lio_2 * g, g)\n    _v = _numpy.where(not_refractory, _lio_8 + ((_lio_9 * g) + (_lio_10 * v)), _lio_7 + v)\n    g[not_refractory] = _g[not_refractory]\n    v[not_refractory] = _v[not_refractory]\n    _array_default_neurons_g[:] = g\n    _array_default_neurons_v[:] = v\n    _array_default_neurons_not_refractory[:] = not_refractory\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_stateupdater_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_stateupdater",
+    "order": 0,
+    "type": "StateUpdater",
+    "when": "groups"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_common_requests",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "before_thresholds"
+  },
+  {
+    "abstract_code": "_cond = (v > v_th) and not_refractory",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    numpy_True = _numpy.bool_(True)\n    numpy_False = _numpy.bool_(False)\n    # scalar code\n    _vectorisation_idx = 1\n    # vector code\n    _vectorisation_idx = LazyArange(N)\n    v = _array_default_neurons_v\n    not_refractory = _array_default_neurons_not_refractory\n    _cond = (v > v_th) & not_refractory\n    if _cond is True or _cond is numpy_True:\n        _events = _numpy.arange(N)\n    elif _cond is False or _cond is numpy_False:\n        _events = _numpy.array([])\n    else:\n        _events, = _cond.nonzero()\n    _array_default_neurons__spikespace[-1] = len(_events)\n    _array_default_neurons__spikespace[:len(_events)] = _events\n    # Set the neuron to refractory\n    _array_default_neurons_not_refractory[_events] = False\n    _array_default_neurons_lastspike[_events] = _array_defaultclock_t[0]\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _array_default_neurons__spikespace[-1] = 0\n",
+        "name": "default_neurons_spike_thresholder_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_thresholder",
+    "order": 0,
+    "type": "Thresholder",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "_to_record_i = _source_i\n_to_record_t = _source_t",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _n_events = _array_default_neurons__spikespace[-1]\n    if _n_events > 0:\n        _events = _array_default_neurons__spikespace[:_n_events]\n        # Take subgroups into account\n        if _source_start != 0 or _source_stop != _source_N:\n            _events = _events[(_events >= _source_start) & (_events < _source_stop)]\n            _n_events = len(_events)\n        if _n_events > 0:\n            _vectorisation_idx = 1\n            _curlen = _array_spikemonitor_N[0]\n            _newlen = _curlen + _n_events\n            _owner.resize(_newlen)\n            _array_spikemonitor_N[0] = _newlen\n            _vectorisation_idx = _events\n            _idx = _events\n            _source_i = _array_default_neurons_i[_idx]\n            _source_t = _array_defaultclock_t[0]\n            _to_record_i = _source_i\n            _to_record_t = _source_t\n            _dynamic_array_spikemonitor_i[_curlen:_newlen] = _to_record_i\n            _dynamic_array_spikemonitor_t[_curlen:_newlen] = _to_record_t\n            _array_spikemonitor_count[_events - _source_start] += 1\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "spikemonitor_codeobject_1"
+      }
+    ],
+    "name": "spikemonitor",
+    "order": 1,
+    "type": "SpikeMonitor",
+    "when": "thresholds"
+  },
+  {
+    "abstract_code": "g += w\n",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.initialise_queue()\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _owner.push_spikes()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_push_spikes"
+      },
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    _spiking_synapses = _queue.peek()\n    if len(_spiking_synapses):\n        # scalar code\n        # vector code\n        _idx = _spiking_synapses\n        _vectorisation_idx = _idx\n        #  Abstract code:  g += w\n        _postsynaptic_idx = _array_default_synapses__synaptic_post[_idx]\n        w = _array_default_synapses_w[_idx]\n        not_refractory = _array_default_neurons_not_refractory[_postsynaptic_idx]\n        _numpy.add.at(_array_default_neurons_g, _postsynaptic_idx[not_refractory], w[not_refractory])\n    # Advance the spike queue\n    _queue.advance()\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_synapses_pre_codeobject_1"
+      }
+    ],
+    "name": "default_synapses_pre",
+    "order": -1,
+    "type": "SynapticPathway",
+    "when": "synapses"
+  },
+  {
+    "abstract_code": "v = v_rst; w = 0; g = 0 * mV",
+    "active": true,
+    "code_objects": [
+      {
+        "generated_code": "before_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\nrun:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # scalar code\n    _vectorisation_idx = 1\n    w = 0\n    # vector code\n    _idx = _array_default_neurons__spikespace[:_array_default_neurons__spikespace[-1]]\n    _vectorisation_idx = _idx\n    v = v_rst\n    g = 0.0\n    _array_default_neurons_g[_idx] = g\n    _array_default_neurons_v[_idx] = v\nafter_run:\n    import numpy as _numpy\n    from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n    # EMPTY_CODE_BLOCK  -- overwrite in child template\n",
+        "name": "default_neurons_spike_resetter_codeobject_1"
+      }
+    ],
+    "name": "default_neurons_spike_resetter",
+    "order": 0,
+    "type": "Resetter",
+    "when": "resets"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_legacy_apl_unconditional",
+    "order": 0,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "oracle_after_apl_record",
+    "order": 1,
+    "type": "NetworkOperation",
+    "when": "end"
+  },
+  {
+    "active": true,
+    "code_objects": [],
+    "name": "zz_apl_queue_installer",
+    "order": 1000000,
+    "type": "QueueInstaller",
+    "when": "end"
+  }
+]
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/input-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/input-audit.json
new file mode 100644
index 0000000..b892101
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/input-audit.json
@@ -0,0 +1,70 @@
+{
+  "ae_sha256": "32eb1c42383068ce52701d2139a376ce155ad7072cde019949f8ca2d55492409",
+  "af_sha256": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
+  "apl_delay_steps": 18,
+  "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e",
+  "bundle_hashes": {
+    "apl_globals.npy": "8388c8795d49cfe5b14fda54f76ef3a35030c62ba87bd8ca6334a2dcdf186f19",
+    "input_matrix.npy": "c4d3df703ea5f1d7402b8255cfa19d9744139ad1048827c23b151d8ba766fec6",
+    "kc_globals.npy": "97a570aafa089f93e642b2bb07e3a3322dabb14c3c7dd431f0c8d2b3b7951fdd",
+    "output_matrix.npy": "e2d0a1ccd740e6777245ebf2efcd88bf5e1da9e47308c63ec8e83d451e134a73"
+  },
+  "candidate_trace_used_as_input": false,
+  "case_hashes": {
+    "arrays.npz": "c256234eec74752513c95d961233e7c1a7b5caa20deaa9b4913be9f539b2f1d8",
+    "requests.npz": "517b500f350b0825f7cc9c639beb62d06764de286b13e0835cb26c5f83ff106a",
+    "spec.json": "490ba326a01364533ae24ddf4022795c5e3cf5ce1ae0bf0e6092bc2df2fa25b3"
+  },
+  "coefficients_sha256": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+  "copied_oracle_sha256": "357a7d3debb5abc34a8714c0233b456547a154d9d5855d28661b4f01019a80ea",
+  "copied_oracle_source": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/oracle_apl.py",
+  "graph_hashes": {
+    "completeness.csv": "fe19419a07b379537e0f94176c6e60058d42f07d576c87e7bebf1c7a568a500f",
+    "connectivity.parquet": "5ee85c2b1befe4cde2ca5ad3ace142bb4e338a143d99d756d348d6aeaf44db9b",
+    "dst.npy": "6f50ad492013b3d14fe45c46210a68c37fb138337ae7f91eed0730f92d5cc7d6",
+    "edge_id.npy": "8b3ad7ca57738feb1495d75dadb7c7cd62890ab0b763bfb46ed217d4002c8765",
+    "nodes.npy": "2a65c268f42ecb99ce2a30a22f0b654a0101ab1f336388bc2e96dc7057ccc0bd",
+    "ptr.npy": "98f301cd19c6e01a911249cc594431369ed593b686f870c24aee86fcb41c8f81",
+    "signed_raw.npy": "8af7fa8ede8c3da396d00bee2146d01cd549c065702d8e27211df73ad1a32471",
+    "src.npy": "98ccabc84a7a57fa01a92f7164e5333dbe3f90bf18efbccf3cb4f40fef326a5f",
+    "weights.npy": "d751ac5a580f88071e5a876882ada072aeb8e461f76e4fbca4ad41fa4b14f865"
+  },
+  "legacy_apl_worker_sha256": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
+  "only_scientific_change": "transport generated graded-APL h before the unchanged end write",
+  "scope": "shared-APL-component closed-loop oracle, not all-components-independent CPU equivalence",
+  "spec": {
+    "apl": {
+      "gain": 0.01,
+      "normalization": 1.0,
+      "tau_ms": 20.0
+    },
+    "apl_bundle_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/apl-bundle",
+    "apl_delay_steps": 18,
+    "apl_precision": "float32",
+    "budget_root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "coefficients_path": "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json",
+    "dt_ms": 0.1,
+    "duration_ms": 10.0,
+    "graph_dir": "/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/fixtures",
+    "kind": "fixture",
+    "legacy_apl_worker": "/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py",
+    "model": {
+      "dt_ms": 0.1,
+      "membrane_tau_ms": 20.0,
+      "refractory_ms": 2.2,
+      "reset_potential_mv": -52.0,
+      "resting_potential_mv": -52.0,
+      "synaptic_delay_ms": 1.8,
+      "synaptic_tau_ms": 5.0,
+      "threshold_mv": -45.0,
+      "w_syn_mv_per_anatomical_synapse": 0.275
+    },
+    "name": "zero",
+    "output_budget_bytes": 25769803776,
+    "precision": "float64",
+    "record_history": true,
+    "science_python": "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "steps": 100,
+    "training": false
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/output-schema.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/output-schema.json
new file mode 100644
index 0000000..0e22757
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/output-schema.json
@@ -0,0 +1,60 @@
+{
+  "APL_SI_conversion": "h.astype(float64) * float64(0.001), then separate float64 g subtraction",
+  "APL_dtype": "float32",
+  "APL_h_units": "mV; gain already applied in float32",
+  "APL_inhibition_file_means": "generated h at the actual closed-loop Brian spike tick, not the delayed applied value",
+  "APL_input": "Brian's own actual global spikes, never candidate spikes or candidate inhibition",
+  "APL_pending_file": "apl-pending-tail.float32.npy",
+  "APL_pending_generated_count": 18,
+  "APL_pending_initial_zero_prefix": 0,
+  "APL_pending_scope": "next D scheduled applications from recorded h plus unconsumed initial zero slots; not future generated decay",
+  "APL_shapes": {
+    "applied": [
+      100,
+      4064
+    ],
+    "drive": [
+      100,
+      2
+    ],
+    "inhibition": [
+      100,
+      4064
+    ],
+    "pending_tail": [
+      18,
+      4064
+    ],
+    "state": [
+      100,
+      2
+    ]
+  },
+  "APL_transport": "applied[t]=generated_h[t-D] for t>=D, positive zero otherwise; separate independent list FIFO",
+  "APL_write_schedule": "end, order=0, after original reset, unconditional raw g write; recorder end/order=1",
+  "apl_delay_steps": 18,
+  "complete_marker": "summary.json complete=true only after worker exit and all checks",
+  "history_recorded": true,
+  "history_shape": [
+    100,
+    44
+  ],
+  "queue_protocol": "sealed Phase4AF queue_summary; original global edge IDs, including zero-weight/ref-rejected arrivals",
+  "request_columns": [
+    "tick",
+    "neuron_idx",
+    "attempted",
+    "accepted",
+    "rejected"
+  ],
+  "state_hash_encoding": "SHA256 of contiguous little-endian raw f64 V/g and i32 ref",
+  "state_hash_file": "tick-state-hashes.jsonl",
+  "state_npz": [
+    "step",
+    "neuron_idx",
+    "counts",
+    "v",
+    "g",
+    "ref"
+  ]
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/parameter-checks.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/parameter-checks.json
new file mode 100644
index 0000000..6ed5906
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/parameter-checks.json
@@ -0,0 +1,34 @@
+{
+  "membrane_tau_ms": {
+    "author": 20.0,
+    "case": 20.0
+  },
+  "refractory_ms": {
+    "author": 2.2,
+    "case": 2.2
+  },
+  "reset_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "resting_potential_mv": {
+    "author": -52.0,
+    "case": -52.0
+  },
+  "synaptic_delay_ms": {
+    "author": 1.8,
+    "case": 1.8
+  },
+  "synaptic_tau_ms": {
+    "author": 5.0,
+    "case": 5.0
+  },
+  "threshold_mv": {
+    "author": -45.0,
+    "case": -45.0
+  },
+  "w_syn_mv_per_anatomical_synapse": {
+    "author": 0.275,
+    "case": 0.275
+  }
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/queue-audit.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/queue-audit.json
new file mode 100644
index 0000000..aaad63e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/queue-audit.json
@@ -0,0 +1,15 @@
+{
+  "advance_calls": 100,
+  "forwarding_contract": "sealed AE/AF design",
+  "installations": [
+    "default_synapses_pre_codeobject",
+    "default_synapses_pre_codeobject_1"
+  ],
+  "limit": "Current wrapper was not independently rerun without the queue proxy",
+  "new_unwrapped_repeat_performed": false,
+  "original_edge_ids_not_sorted_or_filtered": true,
+  "peek_calls": 100,
+  "post_threshold_pre_synaptic_guard_observed": true,
+  "same_peek_object_returned": true,
+  "zero_weight_and_refractory_rejected_edges_retained": true
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/requests.csv b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/requests.csv
new file mode 100644
index 0000000..fc7863a
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/requests.csv
@@ -0,0 +1 @@
+tick,neuron_idx,attempted,accepted,rejected
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/schedule.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/schedule.json
new file mode 100644
index 0000000..14342f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/schedule.json
@@ -0,0 +1,11 @@
+{
+  "schedule": [
+    "start",
+    "groups",
+    "thresholds",
+    "synapses",
+    "resets",
+    "end"
+  ],
+  "summary": "                      object                       |            part of            |       Clock dt       |       when        |  order  | active\n---------------------------------------------------+-------------------------------+----------------------+-------------------+---------+-------\ndefault_neurons_stateupdater (StateUpdater)        | default_neurons (NeuronGroup) | 100. us (every step) | groups            |       0 |  yes  \noracle_common_requests (NetworkOperation)          | --                            | 100. us (every step) | before_thresholds |       0 |  yes  \ndefault_neurons_spike_thresholder (Thresholder)    | default_neurons (NeuronGroup) | 100. us (every step) | thresholds        |       0 |  yes  \nspikemonitor (SpikeMonitor)                        | spikemonitor (SpikeMonitor)   | 100. us (every step) | thresholds        |       1 |  yes  \ndefault_synapses_pre (SynapticPathway)             | default_synapses (Synapses)   | 100. us (every step) | synapses          |      -1 |  yes  \ndefault_neurons_spike_resetter (Resetter)          | default_neurons (NeuronGroup) | 100. us (every step) | resets            |       0 |  yes  \noracle_legacy_apl_unconditional (NetworkOperation) | --                            | 100. us (every step) | end               |       0 |  yes  \noracle_after_apl_record (NetworkOperation)         | --                            | 100. us (every step) | end               |       1 |  yes  \nzz_apl_queue_installer (QueueInstaller)            | --                            | 100. us (every step) | end               | 1000000 |  yes  "
+}
diff --git a/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/summary.json b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/summary.json
new file mode 100644
index 0000000..26e7410
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/oracle/delay18/zero/summary.json
@@ -0,0 +1,51 @@
+{
+  "APL_applied_sha256": "429a69417d057704b5a9364e5dc9968d7a690c83f43b096c9284be47835d4c9f",
+  "APL_fast_edges_zeroed": 50,
+  "APL_finite_sequence_partition_exact": true,
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51101/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51101/output-hashes.json
new file mode 100644
index 0000000..e13aa01
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51101/summary.json
new file mode 100644
index 0000000..1288f4c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51101/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51102/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51102/output-hashes.json
new file mode 100644
index 0000000..75a45b6
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51102/summary.json
new file mode 100644
index 0000000..7aacbf1
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51102/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51103/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51103/output-hashes.json
new file mode 100644
index 0000000..00747bd
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51103/summary.json
new file mode 100644
index 0000000..d06f658
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51103/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51104/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51104/output-hashes.json
new file mode 100644
index 0000000..7ed11bd
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51104/summary.json
new file mode 100644
index 0000000..ceaa90b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51104/summary.json
@@ -0,0 +1,327 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51105/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51105/output-hashes.json
new file mode 100644
index 0000000..4020810
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51105/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51105/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51105/summary.json
new file mode 100644
index 0000000..02318c4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-00-s51105/summary.json
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new file mode 100644
index 0000000..ee295cd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51101/summary.json
new file mode 100644
index 0000000..b8e6615
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51101/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51102/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51102/output-hashes.json
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index 0000000..6a78793
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51102/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51103/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51103/output-hashes.json
new file mode 100644
index 0000000..51e867e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51103/summary.json
new file mode 100644
index 0000000..ed0bb79
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51103/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51104/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51104/output-hashes.json
new file mode 100644
index 0000000..23da599
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51104/summary.json
new file mode 100644
index 0000000..ac2291b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51104/summary.json
@@ -0,0 +1,283 @@
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51105/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51105/output-hashes.json
new file mode 100644
index 0000000..a5764a0
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51105/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51105/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51105/summary.json
new file mode 100644
index 0000000..8ef771e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-01-s51105/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51101/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51101/output-hashes.json
new file mode 100644
index 0000000..32205b5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51101/output-hashes.json
@@ -0,0 +1,37 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51101/summary.json
new file mode 100644
index 0000000..e1fc9c8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51101/summary.json
@@ -0,0 +1,304 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51102/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51102/output-hashes.json
new file mode 100644
index 0000000..368ee4e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51102/summary.json
new file mode 100644
index 0000000..d1c47cf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51102/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51103/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51103/output-hashes.json
new file mode 100644
index 0000000..0551453
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51103/summary.json
new file mode 100644
index 0000000..e39b964
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51103/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51104/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51104/output-hashes.json
new file mode 100644
index 0000000..bbd266c
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-02-s51104/summary.json
new file mode 100644
index 0000000..e0bbdb3
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51101/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51101/output-hashes.json
new file mode 100644
index 0000000..e99ae5e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51101/summary.json
new file mode 100644
index 0000000..bec3e06
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51101/summary.json
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index 0000000..cc13a9a
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51102/output-hashes.json
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index 0000000..3eaba05
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51102/summary.json
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new file mode 100644
index 0000000..7a51234
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51103/summary.json
new file mode 100644
index 0000000..a4e9515
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51103/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51104/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51104/output-hashes.json
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index 0000000..f07e5dc
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51104/summary.json
new file mode 100644
index 0000000..60b6156
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51104/summary.json
@@ -0,0 +1,297 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51105/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51105/output-hashes.json
new file mode 100644
index 0000000..f5474d4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51105/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51105/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51105/summary.json
new file mode 100644
index 0000000..e3b95e4
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-03-s51105/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51101/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51101/output-hashes.json
new file mode 100644
index 0000000..357ef17
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51101/summary.json
new file mode 100644
index 0000000..32b7e61
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51101/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51102/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51102/output-hashes.json
new file mode 100644
index 0000000..3db5665
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51102/summary.json
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index 0000000..8347fe8
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51102/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51103/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51103/output-hashes.json
new file mode 100644
index 0000000..465d8df
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51103/summary.json
new file mode 100644
index 0000000..254f848
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51103/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51104/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51104/output-hashes.json
new file mode 100644
index 0000000..da8f8dd
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51104/summary.json
new file mode 100644
index 0000000..217d883
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51104/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51105/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51105/output-hashes.json
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index 0000000..c62c4e2
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51105/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51105/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51105/summary.json
new file mode 100644
index 0000000..060294d
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-04-s51105/summary.json
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new file mode 100644
index 0000000..c28d9e5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51101/summary.json
new file mode 100644
index 0000000..e712baf
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51101/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51102/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51102/output-hashes.json
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index 0000000..68de6e5
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51102/summary.json
new file mode 100644
index 0000000..4730180
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51102/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51103/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51103/output-hashes.json
new file mode 100644
index 0000000..f5f353f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51103/summary.json
new file mode 100644
index 0000000..d933840
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51103/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51104/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51104/output-hashes.json
new file mode 100644
index 0000000..66cfb8e
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51104/summary.json
new file mode 100644
index 0000000..e7c3bf1
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51104/summary.json
@@ -0,0 +1,297 @@
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index 0000000..413aa54
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51105/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51105/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-matched_energy-05-s51105/summary.json
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index 0000000..cb4b267
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new file mode 100644
index 0000000..e4476e4
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51101/summary.json
new file mode 100644
index 0000000..3a48c3f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51101/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51102/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51102/output-hashes.json
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index 0000000..ba397dc
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51102/summary.json
new file mode 100644
index 0000000..4020f94
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51103/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51103/output-hashes.json
new file mode 100644
index 0000000..c34b261
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51103/summary.json
new file mode 100644
index 0000000..09fd6f5
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51103/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51104/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51104/output-hashes.json
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index 0000000..1e095c3
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51104/output-hashes.json
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new file mode 100644
index 0000000..d956422
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51105/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-00-s51105/summary.json
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index 0000000..c480f49
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51101/summary.json
new file mode 100644
index 0000000..0f1021d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51101/summary.json
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51102/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51103/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51103/output-hashes.json
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index 0000000..b77a8de
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51103/summary.json
new file mode 100644
index 0000000..825c944
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51103/summary.json
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-01-s51104/output-hashes.json
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new file mode 100644
index 0000000..ae04ff8
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51101/summary.json
new file mode 100644
index 0000000..821f648
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51101/summary.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51102/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51102/output-hashes.json
new file mode 100644
index 0000000..06cc2ab
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51102/summary.json
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index 0000000..5055a6e
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51102/summary.json
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new file mode 100644
index 0000000..7486788
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51103/output-hashes.json
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new file mode 100644
index 0000000..f2acc46
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index 0000000..9771b78
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51104/output-hashes.json
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index 0000000..e257501
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51105/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51105/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-02-s51105/summary.json
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index 0000000..10d2bb3
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index 0000000..71306fd
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51101/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51101/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51101/summary.json
new file mode 100644
index 0000000..02e7f8e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51101/summary.json
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51102/output-hashes.json
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new file mode 100644
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51103/summary.json
new file mode 100644
index 0000000..714eafb
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index 0000000..67ba09c
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51104/summary.json
new file mode 100644
index 0000000..4e8613c
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51105/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51105/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-03-s51105/summary.json
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new file mode 100644
index 0000000..fea489a
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51102/output-hashes.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51102/output-hashes.json
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+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51102/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51102/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51102/summary.json
new file mode 100644
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index 0000000..9b9b093
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51103/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51103/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51103/summary.json
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index 0000000..f213efd
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--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-04-s51104/summary.json
new file mode 100644
index 0000000..ed9664a
--- /dev/null
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new file mode 100644
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index 0000000..b6c571f
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new file mode 100644
index 0000000..710d085
--- /dev/null
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index 0000000..268283f
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-05-s51104/output-hashes.json
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diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-05-s51104/summary.json b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-05-s51104/summary.json
new file mode 100644
index 0000000..02fb637
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/cal-physiological-05-s51104/summary.json
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+      "ALON": {
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+        "negative_abs_weight_SI": 0.1584
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+      "design_ALPN": {
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+      "non_design_ALPN": {
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+      "olfactory_sensory": {
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+        "negative_abs_weight_SI": 0.0013750000000000001
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+    "never_active_matched_cohort_window": {
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+        "negative_abs_weight_SI": 0.0
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+    },
+    "never_active_non_design_matched_cohort_window": {
+      "design_ALPN": {
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+        "negative_events": 0,
+        "positive_weight_SI": 0.02035,
+        "negative_abs_weight_SI": 0.0
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+  },
+  "AI_antecedent_rows_checked": 245544,
+  "cohort_ALLN_outgoing_events": 0,
+  "outgoing_events_with_since_reset_design_antecedent": 0,
+  "outgoing_events_without_since_reset_design_antecedent": 0,
+  "compact_join_pair_count": 0,
+  "no_direct_antecedent_is_not_unexplained_wholebrain": true,
+  "join_contract": "same trial; incoming.target_neuron_idx=outgoing.source_neuron_idx; incoming.source_group=design_ALPN; incoming.weight_SI != 0; outgoing.ALLN_previous_spike_tick < incoming.arrival_tick < outgoing.source_spike_tick; outgoing.arrival_tick < cohort first spike and first-any-KC cutoff; both legs exactly 18 ticks; all incoming rows accepted at ref=0; signs retained; zero legs not causal transmission",
+  "accounting_scope": "Accepted nominal SI weight sums, not membrane contribution, necessity or unique cause; prior-reset antecedents retained only as history; since-reset nonzero weights can still cancel/round away",
+  "window_scope": "Cohort first-spike antecedents are censored at their first spike; never-active pre-KC windows are longer. Use matched_cohort_window for duration-matched comparisons. If KC never fires, full trial is marked censored.",
+  "new_brain_simulation": false,
+  "GPU_used": false,
+  "candidate_generated": false,
+  "CAL_independent_ALLN_per_tick_history_available": false,
+  "input_sha256": {
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+}
diff --git a/registry/phase4aj-apl-timing/evidence/origin-audit/inventory.json b/registry/phase4aj-apl-timing/evidence/origin-audit/inventory.json
new file mode 100644
index 0000000..a23e30b
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/origin-audit/inventory.json
@@ -0,0 +1,542 @@
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diff --git a/registry/phase4aj-apl-timing/evidence/protocol/calibration-cases.json b/registry/phase4aj-apl-timing/evidence/protocol/calibration-cases.json
new file mode 100644
index 0000000..b5b5264
--- /dev/null
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diff --git a/registry/phase4aj-apl-timing/evidence/protocol/case-inventory.json b/registry/phase4aj-apl-timing/evidence/protocol/case-inventory.json
new file mode 100644
index 0000000..94c651e
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/protocol/case-inventory.json
@@ -0,0 +1,2314 @@
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index 0000000..053c12a
--- /dev/null
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index 0000000..2eb13a4
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diff --git a/registry/phase4aj-apl-timing/evidence/protocol/preregistered.json b/registry/phase4aj-apl-timing/evidence/protocol/preregistered.json
new file mode 100644
index 0000000..6f6d27d
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/protocol/preregistered.json
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+{
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+  "source_diffs_are_review_material_not_equivalence_proof": true,
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+  "python": "3.10.12 (main, Aug 31 2026, 10:18:17) [GCC 11.4.0]",
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diff --git a/registry/phase4aj-apl-timing/evidence/regression/frozen-five.json b/registry/phase4aj-apl-timing/evidence/regression/frozen-five.json
new file mode 100644
index 0000000..1884c85
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/regression/frozen-five.json
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diff --git a/registry/phase4aj-apl-timing/evidence/regression/unit-tests.json b/registry/phase4aj-apl-timing/evidence/regression/unit-tests.json
new file mode 100644
index 0000000..052e4bc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/regression/unit-tests.json
@@ -0,0 +1,17 @@
+{
+  "command": [
+    "/data/digital-drosophila/models/male-cns-lif/.venv/bin/python",
+    "-B",
+    "-m",
+    "unittest",
+    "discover",
+    "-v",
+    "-s",
+    "/data/digital-drosophila/models/male-cns-lif/apl-timing-lab-v1",
+    "-p",
+    "test_*.py"
+  ],
+  "exit_code": 0,
+  "pass_all": true,
+  "sha256": "ce0c546e16a9823f973b9c15294ae652aa6acad15d79721bc8482978f8f9c493"
+}
diff --git a/registry/phase4aj-apl-timing/evidence/regression/unit-tests.log b/registry/phase4aj-apl-timing/evidence/regression/unit-tests.log
new file mode 100644
index 0000000..a5eebe3
--- /dev/null
+++ b/registry/phase4aj-apl-timing/evidence/regression/unit-tests.log
@@ -0,0 +1,70 @@
+test_KC_absent_is_censored (test_al_origin_audit.OriginTests) ... ok
+test_after_KC_retains_cohort_without_selecting_a_different_one (test_al_origin_audit.OriginTests) ... ok
+test_all_earliest_ties_and_static_design (test_al_origin_audit.OriginTests) ... ok
+test_bit_equal_rejects_signed_zero (test_al_origin_audit.OriginTests) ... ok
+test_exact_role_mapping_unknown_stays_unknown (test_al_origin_audit.OriginTests) ... ok
+test_first_ticks_missing_and_repeated_events (test_al_origin_audit.OriginTests) ... ok
+test_frozen_replay_core_synthetic_integration (test_al_origin_audit.OriginTests) ... ok
+test_main_does_not_shadow_callable_helpers (test_al_origin_audit.OriginTests) ... ok
+test_no_direct_antecedent_valid_empty (test_al_origin_audit.OriginTests) ... ok
+test_no_non_design_activity_does_not_choose_never_active (test_al_origin_audit.OriginTests) ... ok
+test_observer_all_accepted_signs_and_zeros (test_al_origin_audit.OriginTests) ... ok
+test_observer_bad_acceptance_raises (test_al_origin_audit.OriginTests) ... ok
+test_observer_ref_guard_and_no_rejected_records (test_al_origin_audit.OriginTests) ... ok
+test_observer_rejects_unexpected_input_and_graded_APL (test_al_origin_audit.OriginTests) ... ok
+test_reject_bad_temporal_order (test_al_origin_audit.OriginTests) ... ok
+test_same_tick_is_not_before (test_al_origin_audit.OriginTests) ... ok
+test_temporal_join_excludes_both_boundaries_and_prior_reset (test_al_origin_audit.OriginTests) ... ok
+test_window_aggregation_preserves_sign_and_exclusion (test_al_origin_audit.OriginTests) ... ok
+test_zero_weight_not_transmission (test_al_origin_audit.OriginTests) ... ok
+test_all_original_inventory_and_pair_specific_gates_are_reused (test_calibration.CalibrationTimingTests) ... ok
+test_both_arms_keep_full_inventory_despite_control_repr_failure (test_calibration.CalibrationTimingTests) ... ok
+test_control_rejects_delay18_and_incomplete_results (test_calibration.CalibrationTimingTests) ... ok
+test_control_signed_zero_history_and_missing_trace_fail (test_calibration.CalibrationTimingTests) ... ok
+test_delay0_control_ignores_runtime_and_budget_metadata (test_calibration.CalibrationTimingTests) ... ok
+test_direct_slices_cover_zero_delay_boundary_and_short_window (test_calibration.CalibrationTimingTests) ... ok
+test_negative_zero_padding_and_fabricated_future_audit_fail (test_calibration.CalibrationTimingTests) ... ok
+test_none_recomputation_is_deterministic_and_never_writes (test_calibration.CalibrationTimingTests) ... ok
+test_repeat_includes_applied_pending_and_audit (test_calibration.CalibrationTimingTests) ... ok
+test_tail_or_application_bit_corruption_fails (test_calibration.CalibrationTimingTests) ... ok
+test_CAL_cannot_bypass_probe_failure (test_protocol.ProtocolTests) ... ok
+test_CAL_numerical_failure_stops_later_execution (test_protocol.ProtocolTests) ... ok
+test_actual_oracle_metadata_matches_compare_contract (test_protocol.ProtocolTests) ... ok
+test_bad_metadata_must_fail_without_fitted_tolerance (test_protocol.ProtocolTests) ... ok
+test_control_divergence_stops_before_next_trial_or_other_arm (test_protocol.ProtocolTests) ... ok
+test_fixture_gate_covers_both_arms_all_cases (test_protocol.ProtocolTests) ... ok
+test_origin_failure_prevents_any_new_fixture_run (test_protocol.ProtocolTests) ... ok
+test_probe_stage_cannot_bypass_fixture_failure (test_protocol.ProtocolTests) ... ok
+test_queue_rejects_off_by_one_and_lost_pending (test_protocol.ProtocolTests) ... ok
+test_repeat_divergence_stops_before_next_trial_or_other_arm (test_protocol.ProtocolTests) ... ok
+test_representation_failure_does_not_select_or_stop_an_arm (test_protocol.ProtocolTests) ... ok
+test_shift_failure_prevents_any_new_fixture_run (test_protocol.ProtocolTests) ... ok
+test_two_independent_queues_match_both_arms_and_short_windows (test_protocol.ProtocolTests) ... ok
+test_both_backend_metadata_valid (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_delay_zero_and_18_partition (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_g_write_uses_applied_and_is_unconditional_during_ref (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_generated_signed_zero_preserved (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_initial_zero_must_be_positive_bits (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_metadata_rejects_wrong_count_tail_advance_and_final_state (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_nonfinite_or_negative_generated_fails_even_if_shift_matches (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_one_tick_shift_rejected_independently (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_pair_comparison_includes_applied_and_pending (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_pending_wrong_chronology_rejected (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_schema_and_delay_fail_closed (tests.test_compare_timing.TimingComparisonTests) ... ok
+test_audit_detects_shift_or_initial_negative_zero (tests.test_timing_queue.TimingQueueTests) ... ok
+test_audit_rejects_invalid_schema (tests.test_timing_queue.TimingQueueTests) ... ok
+test_delay_18_boundary (tests.test_timing_queue.TimingQueueTests) ... ok
+test_delay_zero_identity (tests.test_timing_queue.TimingQueueTests) ... ok
+test_finite_sequence_sum_preserved_without_brain_tail (tests.test_timing_queue.TimingQueueTests) ... ok
+test_no_alias_to_input_or_return_or_pending (tests.test_timing_queue.TimingQueueTests) ... ok
+test_reject_invalid_configuration (tests.test_timing_queue.TimingQueueTests) ... ok
+test_reject_invalid_sample_without_advance (tests.test_timing_queue.TimingQueueTests) ... ok
+test_short_sequence_keeps_initial_pending_slots (tests.test_timing_queue.TimingQueueTests) ... ok
+test_signed_zero_subnormal_and_extreme_bits (tests.test_timing_queue.TimingQueueTests) ... ok
+test_tick_must_be_consecutive (tests.test_timing_queue.TimingQueueTests) ... ok
+test_zero_delay_return_owned (tests.test_timing_queue.TimingQueueTests) ... ok
+
+----------------------------------------------------------------------
+Ran 65 tests in 0.635s
+
+OK
diff --git a/registry/phase4aj-apl-timing/interpretation-metrics.json b/registry/phase4aj-apl-timing/interpretation-metrics.json
new file mode 100644
index 0000000..b595add
--- /dev/null
+++ b/registry/phase4aj-apl-timing/interpretation-metrics.json
@@ -0,0 +1,6386 @@
+{
+  "kind": "postseal-descriptive-interpretation-metrics",
+  "declared_final_status": "PASS-FIXED-CAL-APL-TIMING-HYPOTHESIS",
+  "final_status_boolean_flags": {
+    "numerical_gate_pass": true,
+    "full_CAL_execution_gate_pass": true,
+    "delay0_representation_pass": false,
+    "delay18_representation_pass": true,
+    "old_frozen_integrity_and_five_reference_pass": true,
+    "biological_delay_measured": false,
+    "shared_APL_arithmetic_oracle_limitation": true,
+    "whole_brain_equal_inhibition_integral_claim": false,
+    "universal_equivalence_claim": false,
+    "heldout_generalization_tested": false,
+    "learning_achieved": false,
+    "candidate_generated": false
+  },
+  "calibration_boolean_flags": {
+    "pass_all": false,
+    "execution_gate_pass": true,
+    "numerical_integrity_pass": true,
+    "exact_repeat_pass": true,
+    "delay0_control_identity_pass": true,
+    "original_representation_gate_pass": false,
+    "representation_failure_is_not_numerical_failure": true,
+    "selection_or_tuning_performed": false,
+    "both_arms_retained_regardless_of_representation": true,
+    "closed_loop_generated_h_integrals_forced_equal": false,
+    "pending_is_finite_generated_sequence_not_complete_future_decay": true,
+    "candidate_generated": false,
+    "training": false,
+    "heldout_dynamic_access": false,
+    "shared_apl_component_oracle_limit": true,
+    "independent_oracle_equivalence_claim": false
+  },
+  "calibration_arm_boolean_flags": {
+    "delay0": {
+      "pass_all": false,
+      "execution_gate_pass": true,
+      "numerical_integrity_pass": true,
+      "exact_repeat_pass": true,
+      "control_identity_applicable": true,
+      "delay0_control_identity_pass": true,
+      "original_representation_gate_pass": false
+    },
+    "delay18": {
+      "pass_all": true,
+      "execution_gate_pass": true,
+      "numerical_integrity_pass": true,
+      "exact_repeat_pass": true,
+      "control_identity_applicable": false,
+      "original_representation_gate_pass": true
+    }
+  },
+  "original_CAL_mode_summaries": {
+    "delay0": {
+      "physiological": {
+        "KC_active_fraction_mean": 0.012713254593175852,
+        "KC_active_fraction_min": 0.009350393700787402,
+        "KC_active_fraction_max": 0.019438976377952756,
+        "same_odor_jaccard_mean": 0.5090718218022533,
+        "different_odor_jaccard_mean": 0.4609546882691675,
+        "same_odor_euclidean_mean": 5.811442581185956,
+        "different_odor_euclidean_mean": 6.20509147244782,
+        "different_odor_cosine_mean": 0.7121488403183622,
+        "different_odor_correlation_mean": 0.7090451941600682,
+        "within_variance": 1.1604684589120533,
+        "between_distance_mean": 6.20509147244782,
+        "pairwise_separation_pass_count": 12,
+        "pair_count": 15,
+        "expected_event_count_cv": 0.2888504916519036,
+        "actual_event_count_cv": 0.3121419735059684,
+        "within_distance_count": 60,
+        "between_distance_count": 75,
+        "pairwise_baseline": "Each pair's two odors: 10+10 within-seed distances; never pooled across all odors",
+        "pairs": [
+          {
+            "odor_id_a": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+            "odor_id_b": "LABTWGUMFABVFG-ARJAWSKDSA-N",
+            "between_same_seed_mean": 6.443464384430712,
+            "within_this_pair_mean": 5.942562855320832,
+            "between_distance_count": 5,
+            "within_distance_count": 20,
+            "gate": true
+          },
+          {
+            "odor_id_a": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+            "odor_id_b": "QNVRIHYSUZMSGM-ZCFIWIBFSA-N",
+            "between_same_seed_mean": 6.531975412450454,
+            "within_this_pair_mean": 5.593111545880825,
+            "between_distance_count": 5,
+            "within_distance_count": 20,
+            "gate": true
+          },
+          {
+            "odor_id_a": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+            "odor_id_b": "VLSVVMPLPMNWBH-UHFFFAOYSA-N",
+            "between_same_seed_mean": 5.616391291459371,
+            "within_this_pair_mean": 5.368793817902509,
+            "between_distance_count": 5,
+            "within_distance_count": 20,
+            "gate": true
+          },
+          {
+            "odor_id_a": "OMSUIQOIVADKIM-RXMQYKEDSA-N",
+            "odor_id_b": "XHIUFYZDQBSEMF-UHFFFAOYSA-N",
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+            "within_this_pair_mean": 5.356266631048962,
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+          {
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+            "within_this_pair_mean": 5.704787954846912,
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+            "between_distance_count": 5,
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+            "gate": true
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+          "same_jaccard_gt_different": true,
+          "different_euclidean_gt_same": true,
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+        "same_odor_euclidean_mean": 5.67182818446436,
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+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
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+      "bytes": 14953,
+      "sha256": "a0d199156715d595f8c97d60bb21675688680e1aac2848191871f513fe2b6043",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51102/ALLN-all-accepted-incoming.parquet",
+      "bytes": 8596439,
+      "sha256": "0ae161ec36a9f537de1f4eff9049c105388817ce2286445960333ede314b36a3",
+      "reason": "exceeds_4_MiB"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51102/ALLN-population.parquet",
+      "bytes": 10435,
+      "sha256": "fbf62ba13508e9154ec2a359dd625a0353ff2a524346d81000d2a69ca9342a68",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51102/ALLN-replay-final.npz",
+      "bytes": 19263,
+      "sha256": "f8124d803e78efa8f3dc62df33dddf40a60088b9078b4e4bba59eb4dc548c0ab",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51102/ALLN-to-cohort-PN-witness-join.parquet",
+      "bytes": 18455,
+      "sha256": "353d126074d73c455ca9f2a9fc6bc59d6271ceec0c4bc614bedf0bfbf105ff34",
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+      "bytes": 14117,
+      "sha256": "5bb2171ec5ccc7c538efc959c45d069f2bb10769b3efe98a794ffab6ba9c5f64",
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+      "bytes": 8593750,
+      "sha256": "e75c709015adf71f0a7add48813ce3b2f295d7026013e43f408c18ab6bdbf4cc",
+      "reason": "exceeds_4_MiB"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51103/ALLN-population.parquet",
+      "bytes": 10431,
+      "sha256": "852b8156f6a4e0b84d18ce88b33e2ca499d56fff5a83801876a27b7afff29a6c",
+      "reason": "bulk_or_non_evidence_extension"
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+    {
+      "path": "origin-audit/cal-physiological-05-s51103/ALLN-replay-final.npz",
+      "bytes": 19914,
+      "sha256": "0157cff02f14f8542c40e1668844b527bf0fe7abe8f38162b44fa85e0188e6a8",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
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+      "bytes": 18455,
+      "sha256": "353d126074d73c455ca9f2a9fc6bc59d6271ceec0c4bc614bedf0bfbf105ff34",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51103/PN-population-and-cohort.parquet",
+      "bytes": 14281,
+      "sha256": "e7b6c90ca76b1f7d89d57cfedde77dc4f4959fa98f83d2a0374bc6bd370152c5",
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+    },
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+      "sha256": "61e95a23469cc5a8b5a0fd46a63b9a4f17ad604177c3dc25124c6380b8dbf46f",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51104/ALLN-all-accepted-incoming.parquet",
+      "bytes": 8385389,
+      "sha256": "5b6f987bc515053d47d06608a88a9848f4abf909a66adf40be7c32a53f332267",
+      "reason": "exceeds_4_MiB"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51104/ALLN-population.parquet",
+      "bytes": 10409,
+      "sha256": "f436fa8f5c1afc0f135231936aaf8c432e480611f28bc6c78877822845faffd8",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51104/ALLN-replay-final.npz",
+      "bytes": 19177,
+      "sha256": "271d42976942f95bb8c4016697ca0e2452c804053846baffcdcde7894a2a887c",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51104/ALLN-to-cohort-PN-witness-join.parquet",
+      "bytes": 24132,
+      "sha256": "bd33266a275cf96b1e8b3ffbfb2d3d23ddd8ad0e4388edf7bf7e1776c82c16f1",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51104/PN-population-and-cohort.parquet",
+      "bytes": 14138,
+      "sha256": "8bbb9923a22b5bc057a37f46f3e9b9d9a5670a54a6b5734ef535ec7e20d878fd",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51104/cohort-all-source-antecedents.parquet",
+      "bytes": 14492,
+      "sha256": "b3370e6cb99eae832740777de589460dde44385a221eff6d754317ce827529ae",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51105/ALLN-all-accepted-incoming.parquet",
+      "bytes": 8586628,
+      "sha256": "2d1f2196b6ab480c2acb9f55fad35b702fde76742add2084d29138b4a0873cc6",
+      "reason": "exceeds_4_MiB"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51105/ALLN-population.parquet",
+      "bytes": 10438,
+      "sha256": "29e588b27c8fcdf9ba96713e70395d6b160664b32adff4417433271d7fa0e10d",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51105/ALLN-replay-final.npz",
+      "bytes": 19558,
+      "sha256": "a869be62bc3eb893d7f2fa3b9bf10082e5a8ae7544abc55435ea9c6b2abc1760",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51105/ALLN-to-cohort-PN-witness-join.parquet",
+      "bytes": 18455,
+      "sha256": "353d126074d73c455ca9f2a9fc6bc59d6271ceec0c4bc614bedf0bfbf105ff34",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51105/PN-population-and-cohort.parquet",
+      "bytes": 14114,
+      "sha256": "9dd10755c4f57fdd43a503cdb668509578e92706d5236d6bfff12aefb8825145",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "origin-audit/cal-physiological-05-s51105/cohort-all-source-antecedents.parquet",
+      "bytes": 14460,
+      "sha256": "ad6f4be2b96a8ca17857a0a52ca98c185248386027dfb7e2a71d25764cab5179",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "protocol/compare_timing.py.diff",
+      "bytes": 18557,
+      "sha256": "dce5c930c8ef42f24f5c42d0def4d9102caa138750d3856e59e9ec900ee53b09",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "protocol/gpu_timing.py.diff",
+      "bytes": 12996,
+      "sha256": "f1a200eb2c98ec2b5c4604da44ac95a3f3ea149079993ae65e60e466aebfe4f3",
+      "reason": "bulk_or_non_evidence_extension"
+    },
+    {
+      "path": "protocol/oracle_timing.py.diff",
+      "bytes": 17897,
+      "sha256": "d9a449fb7820155bc47fb04822715955f996497f534a308104102689841a9baa",
+      "reason": "bulk_or_non_evidence_extension"
+    }
+  ],
+  "model_payload_not_duplicated": true,
+  "model_payload_remains_at": "models/male-cns-lif/apl-timing-lab-v1",
+  "bulk_remains_at": "experiments/phase4aj-apl-timing",
+  "complete_bulk_backup": false,
+  "scientific_gate_executed_by_publisher": false,
+  "scientific_gate_certified_by_publication": false,
+  "publication_success_is_not_scientific_pass": true,
+  "candidate_generated": false,
+  "learning_achieved": false,
+  "existing_files_modified": false,
+  "receipt_self_hash": "Not self-referential; returned by publish() and printed by main()",
+  "limits": {
+    "max_selected_evidence_file_bytes": 4194304,
+    "selected_suffixes": [
+      ".csv",
+      ".json",
+      ".log",
+      ".md",
+      ".sha256"
+    ]
+  }
+}
diff --git a/registry/phase4aj-apl-timing/seal-verification.json b/registry/phase4aj-apl-timing/seal-verification.json
new file mode 100644
index 0000000..0b198fc
--- /dev/null
+++ b/registry/phase4aj-apl-timing/seal-verification.json
@@ -0,0 +1,22 @@
+{
+  "model": {
+    "pass_all": true,
+    "root": "/data/digital-drosophila/models/male-cns-lif/apl-timing-lab-v1",
+    "payload_file_count": 21,
+    "payload_bytes": 275408,
+    "manifest_sha256": "52b05dd1ff30b6b51ff960fe95904532f5c147731a83f0b5c31f98ca7e53c216",
+    "checksums_sha256": "80bbbf97b242f94022c36bc00767ee82c61862bafba4981a8586c7e2cbfe3ef5",
+    "excluded_pycache_files": 0,
+    "verification_scope": "All sealed payload bytes/SHA-256, exact checksum inventory, and manifest self-SHA; no scientific gate execution"
+  },
+  "experiment": {
+    "pass_all": true,
+    "root": "/data/digital-drosophila/experiments/phase4aj-apl-timing",
+    "payload_file_count": 4954,
+    "payload_bytes": 6991917799,
+    "manifest_sha256": "7f490ada0db30785c61954d8b92147378ddc8bc16b229fe3808bbe501caff44a",
+    "checksums_sha256": "f483a5caec69ec37e33d101980d9a0e4d7b64e80320b864f1a4351979c0478fe",
+    "excluded_pycache_files": 0,
+    "verification_scope": "All sealed payload bytes/SHA-256, exact checksum inventory, and manifest self-SHA; no scientific gate execution"
+  }
+}
diff --git a/tools/phase4aj-publication/describe_phase4aj.py b/tools/phase4aj-publication/describe_phase4aj.py
new file mode 100644
index 0000000..2496006
--- /dev/null
+++ b/tools/phase4aj-publication/describe_phase4aj.py
@@ -0,0 +1,255 @@
+"""Post-seal descriptive extraction; not another scientific gate or model run.
+
+The four original CAL summary dictionaries are copied, not recalculated.
+Origin totals use only the earliest-cohort/pre-first-KC audit window from
+the 60 sealed AG-r2 control trials. No AI population/window share is imported.
+"""
+from __future__ import annotations
+
+from collections import Counter
+import hashlib
+import importlib.util
+import json
+import math
+from pathlib import Path
+
+
+ROOT = Path('/data/digital-drosophila')
+MODEL_RELATIVE = Path('models/male-cns-lif/apl-timing-lab-v1')
+EXPERIMENT_RELATIVE = Path('experiments/phase4aj-apl-timing')
+REGISTRY_RELATIVE = Path('registry/phase4aj-apl-timing')
+HELPER_RELATIVE = Path('models/male-cns-lif/pn-recruitment-audit-v1/publication.py')
+HELPER_SHA256 = '7a79c499098b74163e7bb16adabcbc54e7069dafa204d0b99c7f4c03d79f8016'
+LEGACY_CALIBRATION_SHA256 = 'edb9cb2d890471fd07afd88c959ef3540b0cd40af490fac3f26396b5e7f5bf9c'
+MODES = ('physiological', 'matched_energy')
+ARMS = ('delay0', 'delay18')
+CAL_MODE_FIELDS = frozenset(('KC_active_fraction_mean', 'KC_active_fraction_min', 'KC_active_fraction_max',
+    'same_odor_jaccard_mean', 'different_odor_jaccard_mean', 'same_odor_euclidean_mean',
+    'different_odor_euclidean_mean', 'different_odor_cosine_mean', 'different_odor_correlation_mean',
+    'within_variance', 'between_distance_mean', 'pairwise_separation_pass_count', 'pair_count',
+    'expected_event_count_cv', 'actual_event_count_cv', 'within_distance_count', 'between_distance_count',
+    'pairwise_baseline', 'pairs', 'conditions', 'gate'))
+WINDOW = 'cohort_pre_KC_and_pre_first'
+GROUP_FIELDS = ('events', 'positive_events', 'negative_events', 'positive_weight_SI', 'negative_abs_weight_SI')
+OUTGOING_FIELDS = ('cohort_ALLN_outgoing_events', 'outgoing_events_with_since_reset_design_antecedent',
+                   'outgoing_events_without_since_reset_design_antecedent', 'compact_join_pair_count')
+RELATIONS = frozenset(('no_non_design_spike', 'KC_unobserved', 'before', 'same_tick', 'after'))
+MAX_BYTES = 4 * 1024 ** 2
+
+
+def require(ok, message):
+    if not ok:
+        raise ValueError(message)
+
+
+def load_helpers(path):
+    path = Path(path)
+    require(path.is_absolute() and path.is_file() and not path.is_symlink(), 'Invalid frozen verification helper')
+    source = path.read_bytes()
+    require(hashlib.sha256(source).hexdigest() == HELPER_SHA256, 'Frozen AI helper hash mismatch')
+    spec = importlib.util.spec_from_file_location('phase4aj_describe_frozen_ai_helpers', path)
+    require(spec is not None and spec.loader is not None, 'Cannot define frozen helper module')
+    module = importlib.util.module_from_spec(spec)
+    # Exact pinned bytes; no pyc read/write in the old sealed model directory.
+    exec(compile(source, str(path), 'exec'), module.__dict__)
+    return module
+
+
+def _boolean_fields(value):
+    return {key: item for key, item in value.items() if type(item) is bool}
+
+
+def _nonnegative_integer(value, field):
+    require(type(value) is int and value >= 0, 'Invalid nonnegative count: ' + field)
+    return value
+
+
+def aggregate_origin(trials):
+    """Sum stored audit totals, retaining source labels and the fixed window.
+
+    These are descriptive sums of already aggregated nominal weights. They
+    have no arithmetic-error-bound, membrane-effect, or causal interpretation.
+    """
+    groups = {}
+    relations = Counter()
+    outgoing = {field: 0 for field in OUTGOING_FIELDS}
+    before_trials = before_neurons = censored = cohort_occurrences = 0
+    per_trial = []
+    for trial in trials:
+        source = trial['window_source_accounting'][WINDOW]
+        require(isinstance(source, dict), 'Origin source groups must be a dictionary')
+        for label, values in source.items():
+            require(isinstance(label, str) and set(values) == set(GROUP_FIELDS), 'Unexpected origin source-group schema')
+            target = groups.setdefault(label, {key: [] for key in GROUP_FIELDS})
+            for key in GROUP_FIELDS[:3]:
+                target[key].append(_nonnegative_integer(values[key], key))
+            require(values['positive_events'] + values['negative_events'] <= values['events'], 'Origin sign count exceeds events')
+            for key in GROUP_FIELDS[3:]:
+                require(type(values[key]) in (int, float) and math.isfinite(values[key]) and values[key] >= 0,
+                        'Invalid nominal source weight: ' + key)
+                target[key].append(float(values[key]))
+        relation = trial['cohort_relation_to_first_KC']
+        require(relation in RELATIONS, 'Unknown earliest-cohort/first-KC relation')
+        require(type(trial['cohort_before_first_KC']) is bool and
+                trial['cohort_before_first_KC'] == (relation == 'before'), 'Inconsistent saved first-KC relation')
+        require(type(trial['pre_kc_window_censored']) is bool, 'Invalid saved censoring flag')
+        count = _nonnegative_integer(trial['cohort_neurons'], 'cohort_neurons')
+        relations[relation] += 1
+        cohort_occurrences += count
+        before_trials += int(trial['cohort_before_first_KC'])
+        before_neurons += count if trial['cohort_before_first_KC'] else 0
+        censored += int(trial['pre_kc_window_censored'])
+        for key in OUTGOING_FIELDS:
+            outgoing[key] += _nonnegative_integer(trial[key], key)
+        require(trial[OUTGOING_FIELDS[1]] + trial[OUTGOING_FIELDS[2]] == trial[OUTGOING_FIELDS[0]],
+                'Saved ALLN outgoing partition is inconsistent')
+        per_trial.append({key: trial[key] for key in ('case', 'mode', 'odor_id', 'seed', 'pass_all',
+            'first_any_KC_tick', 'earliest_tick', 'cohort_neurons', 'cohort_before_first_KC',
+            'cohort_relation_to_first_KC', 'pre_kc_window_censored', *OUTGOING_FIELDS)} |
+            {'source_groups': source, 'exact': trial['exact']})
+    totals = {label: {key: sum(parts[key]) if key in GROUP_FIELDS[:3] else math.fsum(parts[key])
+                     for key in GROUP_FIELDS} for label, parts in sorted(groups.items())}
+    direct_pn = {key: sum(totals.get(label, {}).get(key, 0) for label in ('design_ALPN', 'non_design_ALPN'))
+                 if key in GROUP_FIELDS[:3] else math.fsum(totals.get(label, {}).get(key, 0.0)
+                 for label in ('design_ALPN', 'non_design_ALPN')) for key in GROUP_FIELDS}
+    return dict(trial_count=len(trials), source_window=WINDOW, source_groups=totals,
+        direct_ALPN_combined=direct_pn, direct_ALPN_labels=['design_ALPN', 'non_design_ALPN'],
+        first_before_KC_trial_count=before_trials, cohort_neuron_occurrences_before_first_KC=before_neurons,
+        cohort_neuron_occurrences_across_trials=cohort_occurrences,
+        first_KC_window_censored_trial_count=censored, cohort_relation_trial_counts=dict(sorted(relations.items())),
+        **outgoing, per_trial=per_trial,
+        absent_group_semantics='Producer emits only observed groups; an absent group contributes zero accepted events in this window',
+        nominal_weight_units='SI volts; accepted edge-weight increments, not membrane effect or causal contribution',
+        aggregation='Integer counts and math.fsum of saved per-trial nominal float totals; descriptive, no new roundoff-bound claim',
+        pair_count_semantics='Existing compact temporal join pairs; shared antecedents can recur for multiple outgoing edges, not unique causal chains')
+
+
+def describe(root=ROOT, helper_path=None):
+    """Write two exclusive post-publication files; never alter a seal/receipt."""
+    root = Path(root)
+    require(root.is_absolute() and root.is_dir() and not root.is_symlink(), 'Invalid project root')
+    root = root.resolve(strict=True)
+    model, experiment, registry = (root / item for item in (MODEL_RELATIVE, EXPERIMENT_RELATIVE, REGISTRY_RELATIVE))
+    output, checksum = registry / 'interpretation-metrics.json', registry / 'interpretation-metrics.sha256'
+    require(registry.is_dir() and not registry.is_symlink(), 'Publish the sealed evidence registry first')
+    require(not output.exists() and not output.is_symlink() and not checksum.exists() and not checksum.is_symlink(),
+            'Interpretation output already exists; no overwrite/resume')
+    for target in (model, experiment, registry):
+        path = root
+        for part in target.relative_to(root).parts:
+            path /= part
+            require(not path.is_symlink(), 'Symlink in descriptive source/output path')
+    helper_path = root / HELPER_RELATIVE if helper_path is None else Path(helper_path)
+    helper = load_helpers(helper_path)
+    verified = {'model': helper.verify_seal(model), 'experiment': helper.verify_seal(experiment)}
+    inventories = {name: {row['path']: row for row in verification['files']} for name, verification in verified.items()}
+    inputs = {}
+
+    def sealed_json(relative):
+        require(relative in inventories['experiment'], 'Required descriptive input absent from seal: ' + relative)
+        path = helper._regular_file(experiment, relative)
+        row = inventories['experiment'][relative]
+        inputs[relative] = row['sha256']
+        return helper._json_bytes(path.read_bytes())
+
+    status = sealed_json('audit/final-status.json')
+    calibration = sealed_json('calibration/summary.json')
+    origin = sealed_json('origin-audit/summary.json')
+    inventory = sealed_json('protocol/calibration-cases.json')
+    frozen = sealed_json('regression/frozen-five.json')
+    integrity = sealed_json('regression/old-integrity-after.json')
+    require(isinstance(status.get('status'), str) and status['status'].startswith(('PASS-', 'FAIL-', 'INCOMPLETE-')),
+            'Missing finalized status; publication is not a substitute for finalization')
+    require(status.get('candidate_generated') is False and status.get('learning_achieved') is False and
+            status.get('shared_APL_arithmetic_oracle_limitation') is True, 'Unexpected finalized scope')
+    require(calibration.get('legacy_calibration_sha256') == LEGACY_CALIBRATION_SHA256,
+            'CAL summary does not identify the sealed original metric implementation')
+    require(set(calibration['arms']) == set(ARMS), 'Both CAL arm summaries are required')
+    cal_modes = {}
+    arm_flags = {}
+    for arm in ARMS:
+        value = calibration['arms'][arm]
+        require(set(value['modes']) == set(MODES), 'Both original mode summaries are required: ' + arm)
+        # Preserve the complete existing dictionaries, including pairs, CV,
+        # conditions, gate and the original pairwise baseline description.
+        cal_modes[arm] = {mode: value['modes'][mode] for mode in MODES}
+        require(all(isinstance(value['modes'][mode], dict) and CAL_MODE_FIELDS.issubset(value['modes'][mode])
+                    for mode in MODES), 'Incomplete saved original CAL mode summary')
+        arm_flags[arm] = _boolean_fields(value)
+    require(len(inventory) == 60 and len({row['name'] for row in inventory}) == 60, 'Require the fixed 60 CAL r0 cases')
+    names = {row['name']: row for row in inventory}
+    require(Counter(row['mode'] for row in inventory) == Counter({mode: 30 for mode in MODES}), 'Origin mode coverage changed')
+    require(len(origin['trials']) == 60 and {row['case'] for row in origin['trials']} == set(names),
+            'Origin trial inventory must match all 60 fixed control cases')
+    trials = []
+    for row in sorted(origin['trials'], key=lambda value: value['case']):
+        name = row['case']
+        require(helper._relative_name(name).name == name, 'Origin case must be a single relative name')
+        relative = 'origin-audit/' + name + '/summary.json'
+        trial = sealed_json(relative)
+        require(row['summary_sha256'] == inputs[relative], 'Origin receipt does not bind its sealed trial summary')
+        require(trial['case'] == name and trial['repeat'] == 0 and all(
+                trial[key] == names[name][key] for key in ('mode', 'odor_id', 'seed')), 'Origin case identity mismatch')
+        trials.append(trial)
+    receipt_path = helper._regular_file(registry, 'publication-receipt.json')
+    receipt_sha = helper._digest(receipt_path)
+    receipt = helper._json_bytes(receipt_path.read_bytes())
+    require(receipt.get('publication_complete') is True and receipt.get('declared_audit_status') == status['status'] and
+            all(receipt.get(name + '_manifest_sha256') == verified[name]['manifest_sha256']
+                for name in ('model', 'experiment')), 'Existing publication receipt belongs to different seals/status')
+    for row in receipt['files']:
+        path = helper._regular_file(registry, row['path'])
+        require(path.stat().st_size == row['bytes'] and helper._digest(path) == row['sha256'], 'Previously published evidence changed')
+    source_hashes = {'describe_phase4aj.py': helper._digest(Path(__file__)),
+                     'frozen_AI_publication.py': HELPER_SHA256,
+                     'sealed_AG_calibration.py': LEGACY_CALIBRATION_SHA256}
+    for name in ('al_origin_audit.py', 'calibration.py'):
+        require(name in inventories['model'], 'Registered metric-producing source absent from model seal: ' + name)
+        source_hashes['AJ_model/' + name] = inventories['model'][name]['sha256']
+    result = dict(kind='postseal-descriptive-interpretation-metrics', declared_final_status=status['status'],
+        final_status_boolean_flags=_boolean_fields(status), calibration_boolean_flags=_boolean_fields(calibration),
+        calibration_arm_boolean_flags=arm_flags, original_CAL_mode_summaries=cal_modes,
+        finalized_numerical_evidence={key: status[key] for key in ('gates', 'comparisons', 'repeats', 'controls', 'components')},
+        frozen_reference_report=frozen, frozen_integrity_report=integrity,
+        origin_audit_declared_status=origin['status'], origin_audit_boolean_flags=_boolean_fields(origin),
+        origin_scope='60 sealed AG-r2 control CAL r0 trials, 30 per mode; not a new delay18-origin audit',
+        origin_window=WINDOW, origin_all_modes=aggregate_origin(trials),
+        origin_by_mode={mode: aggregate_origin([trial for trial in trials if trial['mode'] == mode]) for mode in MODES},
+        source_sha256=source_hashes, sealed_input_sha256=inputs,
+        model_manifest_sha256=verified['model']['manifest_sha256'],
+        experiment_manifest_sha256=verified['experiment']['manifest_sha256'],
+        model_checksums_sha256=verified['model']['checksums_sha256'],
+        experiment_checksums_sha256=verified['experiment']['checksums_sha256'],
+        publication_receipt_sha256_unchanged=receipt_sha,
+        postseal_addition_outside_original_receipt=True, source_and_receipt_files_modified=False,
+        original_metric_dicts_copied_without_recalculation=True, new_scientific_gate=False,
+        scientific_pass_inferred_from_description=False, new_brain_simulation=False, GPU_used=False,
+        parameters_changed=False, unique_cause_proven=False, necessity_proven=False, learning_achieved=False,
+        inherited_AI_other_population_or_window_share=False,
+        limitations=['Nominal accepted weight sums are not voltage attribution, necessity, or unique causation.',
+            'Origin cohorts include all ties at the earliest non-design ALPN spike, with strict pre-first-target and pre-first-any-KC cutoffs.',
+            'Counts of timed ALLN outgoing edge events and antecedent pairs are distinct and need not denote unique paths.',
+            'Post-seal aggregation changes no original scientific gate or PASS/FAIL/INCOMPLETE status.',
+            'Origin data are sealed control trajectories; no treatment-specific origin conclusion is inferred.'])
+    after = {'model': helper.verify_seal(model), 'experiment': helper.verify_seal(experiment)}
+    require(after == verified and helper._digest(helper_path) == HELPER_SHA256, 'A sealed source changed during description')
+    require(helper._digest(receipt_path) == receipt_sha, 'Existing publication receipt changed during description')
+    data = (json.dumps(result, indent=2, ensure_ascii=False, allow_nan=False) + '\n').encode('utf-8')
+    require(len(data) <= MAX_BYTES, 'Descriptive output exceeds the 4 MiB small-evidence limit')
+    with output.open('xb') as stream:
+        stream.write(data)
+    output_sha = hashlib.sha256(data).hexdigest()
+    with checksum.open('xb') as stream:
+        stream.write((output_sha + '  interpretation-metrics.json\n').encode('ascii'))
+    require(helper._digest(output) == output_sha and helper._digest(receipt_path) == receipt_sha,
+            'Output or original receipt changed while writing')
+    return dict(description_complete=True, declared_final_status=status['status'], output=str(output),
+                sha256=output_sha, new_scientific_gate=False, learning_achieved=False)
+
+
+def main():
+    print(json.dumps(describe(), ensure_ascii=False, allow_nan=False), flush=True)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/tools/phase4aj-publication/publish_phase4aj.py b/tools/phase4aj-publication/publish_phase4aj.py
new file mode 100644
index 0000000..edf63f1
--- /dev/null
+++ b/tools/phase4aj-publication/publish_phase4aj.py
@@ -0,0 +1,203 @@
+"""Exclusive small-evidence publication after both Phase 4AJ seals verify.
+
+Publication verifies and copies bytes. It never runs a brain, re-evaluates a
+scientific gate, converts FAIL/INCOMPLETE into PASS, or changes frozen sources.
+The source-pinned Phase 4AI verification/copy helpers are executed unchanged.
+"""
+from __future__ import annotations
+
+import hashlib
+import importlib.util
+import json
+from pathlib import Path, PurePosixPath
+
+
+ROOT = Path('/data/digital-drosophila')
+MODEL_RELATIVE = Path('models/male-cns-lif/apl-timing-lab-v1')
+EXPERIMENT_RELATIVE = Path('experiments/phase4aj-apl-timing')
+REGISTRY_RELATIVE = Path('registry/phase4aj-apl-timing')
+HELPER_RELATIVE = Path('models/male-cns-lif/pn-recruitment-audit-v1/publication.py')
+HELPER_SHA256 = '7a79c499098b74163e7bb16adabcbc54e7069dafa204d0b99c7f4c03d79f8016'
+MAX_EVIDENCE_BYTES = 4 * 1024 ** 2
+EVIDENCE_SUFFIXES = frozenset(('.json', '.csv', '.md', '.log', '.sha256'))
+FINAL_STATUSES = frozenset((
+    'PASS-FIXED-CAL-APL-TIMING-HYPOTHESIS',
+    'FAIL-FIXED-CAL-APL-TIMING-HYPOTHESIS',
+    'FAIL-FROZEN-INTEGRITY-OR-REGRESSION',
+    'FAIL-NUMERICAL-OR-CONTROL-GATE',
+    'INCOMPLETE-NUMERICAL-OR-CAL-EXECUTION',
+))
+REQUIRED_EVIDENCE = ('audit/final-status.json', 'regression/frozen-five.json',
+                     'regression/old-integrity-after.json')
+
+
+def require(condition, message):
+    if not condition:
+        raise ValueError(message)
+
+
+def load_helpers(path):
+    """Instantiate the unchanged module from its exact pinned source bytes.
+
+Using module_from_spec plus the source bytes avoids writing/importing a pyc
+inside the sealed old model, even if the publisher was invoked without -B.
+No old module global is redirected or modified after module initialization.
+"""
+    path = Path(path)
+    require(path.is_absolute() and path.is_file() and not path.is_symlink(), 'Invalid frozen helper path')
+    data = path.read_bytes()
+    require(hashlib.sha256(data).hexdigest() == HELPER_SHA256, 'Frozen AI publication helper hash mismatch')
+    spec = importlib.util.spec_from_file_location('phase4aj_frozen_ai_publication_helpers', path)
+    require(spec is not None and spec.loader is not None, 'Unable to define frozen helper module')
+    module = importlib.util.module_from_spec(spec)
+    exec(compile(data, str(path), 'exec'), module.__dict__)
+    require(module._digest(path) == HELPER_SHA256, 'Helper source changed while loading')
+    return module
+
+
+def _copy(helper, source, destination, size, checksum):
+    """Separate local delegation point for interruption-only synthetic tests."""
+    helper._copy_verified(source, destination, size, checksum)
+
+
+def _write_small_json(helper, path, value):
+    data = (json.dumps(value, indent=2, ensure_ascii=False, allow_nan=False) + '\n').encode('utf-8')
+    require(len(data) <= MAX_EVIDENCE_BYTES, 'Generated registry evidence exceeds 4 MiB: ' + str(path))
+    with Path(path).open('xb') as stream:
+        stream.write(data)
+    require(Path(path).stat().st_size == len(data), 'Generated registry evidence size changed')
+
+
+def _status_evidence(helper, experiment, rows):
+    for relative in REQUIRED_EVIDENCE:
+        require(relative in rows, 'Required finalized evidence absent from seal: ' + relative)
+        require(rows[relative]['bytes'] <= MAX_EVIDENCE_BYTES, 'Required finalized evidence exceeds 4 MiB')
+    status, reference, integrity = [helper._json_bytes((experiment / relative).read_bytes())
+                                    for relative in REQUIRED_EVIDENCE]
+    require(isinstance(status, dict) and status.get('status') in FINAL_STATUSES,
+            'Unrecognized Phase 4AJ final status')
+    for key in ('numerical_gate_pass', 'full_CAL_execution_gate_pass', 'delay0_representation_pass',
+                'delay18_representation_pass', 'old_frozen_integrity_and_five_reference_pass'):
+        require(type(status.get(key)) is bool, 'Missing/non-Boolean finalized result: ' + key)
+    for key in ('candidate_generated', 'learning_achieved', 'heldout_generalization_tested',
+                'biological_delay_measured', 'whole_brain_equal_inhibition_integral_claim',
+                'universal_equivalence_claim'):
+        require(status.get(key) is False, 'Unexpected finalized scope claim: ' + key)
+    require(status.get('shared_APL_arithmetic_oracle_limitation') is True,
+            'Missing shared-APL-component oracle limitation')
+    require(isinstance(reference, dict) and type(reference.get('pass_all')) is bool and
+            isinstance(reference.get('trials'), list), 'Missing/invalid frozen reference report')
+    require(isinstance(integrity, dict) and bool(integrity) and all(
+            isinstance(row, dict) and type(row.get('pass')) is bool for row in integrity.values()),
+            'Missing/invalid frozen-integrity report')
+    # This is consistency of declarations, not a new scientific evaluation.
+    frozen_declared = reference['pass_all'] and all(row['pass'] for row in integrity.values())
+    require(status['old_frozen_integrity_and_five_reference_pass'] == frozen_declared,
+            'Final status contradicts its frozen-integrity/reference reports')
+    if status['status'].startswith('PASS-'):
+        require(status['numerical_gate_pass'] and status['full_CAL_execution_gate_pass'] and
+                status['delay18_representation_pass'] and frozen_declared,
+                'Declared PASS contradicts finalized gate flags')
+    return status, reference, integrity
+
+
+def publish(root=ROOT, helper_path=None):
+    """Publish the fixed AJ registry exclusively; root override is for tests.
+
+Only sealed small experiment evidence and the two model seal controls are
+copied. Every bulk payload is nevertheless verified before and after copying.
+An interrupted registry is preserved and cannot be overwritten or resumed.
+"""
+    root = Path(root)
+    require(root.is_absolute() and root.is_dir() and not root.is_symlink(), 'Invalid project root')
+    root = root.resolve(strict=True)
+    model, experiment, registry = (root / part for part in
+                                   (MODEL_RELATIVE, EXPERIMENT_RELATIVE, REGISTRY_RELATIVE))
+    require(not registry.exists() and not registry.is_symlink(), 'Registry already exists; no overwrite/resume')
+    helper_path = root / HELPER_RELATIVE if helper_path is None else Path(helper_path)
+    helper = load_helpers(helper_path)
+    for path in (model, experiment, registry.parent):
+        current = root
+        for part in path.relative_to(root).parts:
+            current = current / part
+            require(not current.is_symlink(), 'Symlink in publication root path: ' + str(current))
+    verified = {'model': helper.verify_seal(model), 'experiment': helper.verify_seal(experiment)}
+    experiment_rows = {row['path']: row for row in verified['experiment']['files']}
+    status, reference, integrity = _status_evidence(helper, experiment, experiment_rows)
+    plans, omitted = [], []
+    for row in verified['experiment']['files'] + helper._control_rows(experiment, verified['experiment']):
+        if PurePosixPath(row['path']).suffix.lower() in EVIDENCE_SUFFIXES and row['bytes'] <= MAX_EVIDENCE_BYTES:
+            plans.append((experiment, row, 'evidence/' + row['path']))
+        else:
+            omitted.append(dict(path=row['path'], bytes=row['bytes'], sha256=row['sha256'],
+                reason='exceeds_4_MiB' if row['bytes'] > MAX_EVIDENCE_BYTES else 'bulk_or_non_evidence_extension'))
+    for row in helper._control_rows(model, verified['model']):
+        require(row['bytes'] <= MAX_EVIDENCE_BYTES, 'Model seal control exceeds small-evidence limit')
+        plans.append((model, row, 'model/' + row['path']))
+    destinations = {target for _, _, target in plans}
+    for relative in ('manifest.json', 'checksums.sha256', *REQUIRED_EVIDENCE):
+        require('evidence/' + relative in destinations, 'Required experiment evidence cannot be copied: ' + relative)
+    require(len(destinations) == len(plans), 'Duplicate planned evidence destination')
+    registry.parent.mkdir(parents=True, exist_ok=True)
+    registry.mkdir(exist_ok=False)
+    try:
+        records = []
+        for source_root, row, relative in plans:
+            source = helper._regular_file(source_root.resolve(), row['path'])
+            _copy(helper, source, registry / relative, row['bytes'], row['sha256'])
+            records.append(dict(source=source.relative_to(root).as_posix(), copy=relative,
+                                bytes=row['bytes'], sha256=row['sha256']))
+        after = {'model': helper.verify_seal(model), 'experiment': helper.verify_seal(experiment)}
+        require(after == verified, 'A sealed tree changed during publication')
+        require(helper._digest(helper_path) == HELPER_SHA256, 'Frozen helper changed during publication')
+        proof = {name: {key: value for key, value in report.items() if key != 'files'}
+                 for name, report in verified.items()}
+        _write_small_json(helper, registry / 'seal-verification.json', proof)
+        _write_small_json(helper, registry / 'evidence-index.json', records)
+        files = [dict(path=path.relative_to(registry).as_posix(), bytes=path.stat().st_size,
+                      sha256=helper._digest(path)) for path in sorted(registry.rglob('*')) if path.is_file()]
+        receipt = dict(publication_complete=True, registry=registry.relative_to(root).as_posix(),
+            project_root=str(root), declared_audit_status=status['status'],
+            declared_gate_results={key: status[key] for key in ('numerical_gate_pass',
+                'full_CAL_execution_gate_pass', 'delay0_representation_pass', 'delay18_representation_pass',
+                'old_frozen_integrity_and_five_reference_pass')},
+            frozen_reference_report=dict(path='evidence/regression/frozen-five.json',
+                sha256=experiment_rows['regression/frozen-five.json']['sha256'],
+                declared_pass_all=reference['pass_all'], reported_trial_count=len(reference['trials'])),
+            frozen_integrity_report=dict(path='evidence/regression/old-integrity-after.json',
+                sha256=experiment_rows['regression/old-integrity-after.json']['sha256'],
+                declared_pass_by_root={name: row['pass'] for name, row in integrity.items()}),
+            frozen_helper_source=str(helper_path), frozen_helper_sha256=HELPER_SHA256,
+            publisher_sha256=helper._digest(Path(__file__)), helper_globals_redirected=False,
+            model_manifest_sha256=verified['model']['manifest_sha256'],
+            experiment_manifest_sha256=verified['experiment']['manifest_sha256'],
+            source_trees_verified_before_and_after_copy=True,
+            copied_evidence_files=len(records), copied_evidence_bytes=sum(row['bytes'] for row in records),
+            files=files, experiment_payload_not_copied=omitted,
+            model_payload_not_duplicated=True, model_payload_remains_at=MODEL_RELATIVE.as_posix(),
+            bulk_remains_at=EXPERIMENT_RELATIVE.as_posix(), complete_bulk_backup=False,
+            scientific_gate_executed_by_publisher=False, scientific_gate_certified_by_publication=False,
+            publication_success_is_not_scientific_pass=True, candidate_generated=False,
+            learning_achieved=False, existing_files_modified=False,
+            receipt_self_hash='Not self-referential; returned by publish() and printed by main()',
+            limits=dict(max_selected_evidence_file_bytes=MAX_EVIDENCE_BYTES,
+                        selected_suffixes=sorted(EVIDENCE_SUFFIXES)))
+        receipt_path = registry / 'publication-receipt.json'
+        _write_small_json(helper, receipt_path, receipt)
+        return dict(publication_complete=True, registry=str(registry), declared_audit_status=status['status'],
+                    copied_evidence_files=len(records), receipt_sha256=helper._digest(receipt_path),
+                    scientific_gate_executed_by_publisher=False, publication_success_is_not_scientific_pass=True)
+    except Exception as error:
+        failure = registry / 'publication-failure.json'
+        if not failure.exists():
+            _write_small_json(helper, failure, dict(publication_complete=False, type=type(error).__name__,
+                message=str(error), partial_outputs_preserved=True, existing_files_modified=False))
+        raise
+
+
+def main():
+    print(json.dumps(publish(), ensure_ascii=False, allow_nan=False), flush=True)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/tools/phase4aj-publication/test_describe_phase4aj.py b/tools/phase4aj-publication/test_describe_phase4aj.py
new file mode 100644
index 0000000..34c63c7
--- /dev/null
+++ b/tools/phase4aj-publication/test_describe_phase4aj.py
@@ -0,0 +1,166 @@
+"""Synthetic sealed documents only; no real run, registry or scientific gate."""
+import hashlib
+import json
+from pathlib import Path
+import tempfile
+import unittest
+
+import describe_phase4aj as descriptive
+import publish_phase4aj as publication
+
+
+HELPER = Path(__file__).resolve().parents[1] / 'pn-recruitment-audit-v1/publication.py'
+if not HELPER.is_file():
+    HELPER = publication.ROOT / publication.HELPER_RELATIVE
+
+
+def digest(path):
+    return hashlib.sha256(path.read_bytes()).hexdigest()
+
+
+def write(path, value):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(json.dumps(value, indent=2), encoding='utf-8')
+
+
+def seal(root):
+    rows = [dict(path=path.relative_to(root).as_posix(), bytes=path.stat().st_size, sha256=digest(path))
+            for path in sorted(root.rglob('*')) if path.is_file() and path.name not in ('manifest.json', 'checksums.sha256')]
+    write(root / 'manifest.json', dict(root=str(root), files=rows))
+    lines = [row['sha256'] + '  ' + row['path'] for row in rows]
+    lines.append(digest(root / 'manifest.json') + '  manifest.json')
+    (root / 'checksums.sha256').write_text('\n'.join(lines) + '\n', encoding='utf-8')
+
+
+def origin_trial(name, mode, seed, odor):
+    group = lambda positive, negative: dict(events=3, positive_events=2, negative_events=1,
+                                          positive_weight_SI=positive, negative_abs_weight_SI=negative)
+    return dict(case=name, mode=mode, seed=seed, odor_id=odor, repeat=0, pass_all=True,
+        exact={name: True for name in ('step', 'neuron_idx', 'counts', 'v', 'g', 'ref')},
+        first_any_KC_tick=40, earliest_tick=20, cohort_neurons=2, cohort_before_first_KC=True,
+        cohort_relation_to_first_KC='before', pre_kc_window_censored=False,
+        cohort_ALLN_outgoing_events=5, outgoing_events_with_since_reset_design_antecedent=3,
+        outgoing_events_without_since_reset_design_antecedent=2, compact_join_pair_count=17,
+        window_source_accounting={descriptive.WINDOW: {'design_ALPN': group(.25, .03125),
+            'non_design_ALPN': group(.125, .0625), 'ALLN': group(.0625, .125)},
+            'never_active_pre_KC': {'ALLN': group(99999, 99999)}})
+
+
+class DescriptionTests(unittest.TestCase):
+    def setUp(self):
+        temporary = tempfile.TemporaryDirectory(prefix='phase4aj-description-synthetic-')
+        self.addCleanup(temporary.cleanup)
+        self.root = Path(temporary.name).resolve()
+        self.model = self.root / descriptive.MODEL_RELATIVE
+        self.experiment = self.root / descriptive.EXPERIMENT_RELATIVE
+        self.registry = self.root / descriptive.REGISTRY_RELATIVE
+        self.model.mkdir(parents=True)
+        self.experiment.mkdir(parents=True)
+        for name in ('al_origin_audit.py', 'calibration.py'):
+            (self.model / name).write_text('# Synthetic producer placeholder, never executed\n', encoding='utf-8')
+        self.status = dict(status='FAIL-FIXED-CAL-APL-TIMING-HYPOTHESIS', numerical_gate_pass=True,
+            full_CAL_execution_gate_pass=True, delay0_representation_pass=False, delay18_representation_pass=False,
+            old_frozen_integrity_and_five_reference_pass=True, candidate_generated=False, learning_achieved=False,
+            heldout_generalization_tested=False, biological_delay_measured=False,
+            whole_brain_equal_inhibition_integral_claim=False, universal_equivalence_claim=False,
+            shared_APL_arithmetic_oracle_limitation=True,
+            gates={'fixtures': {'pass_all': True}}, comparisons={'synthetic': True},
+            repeats={'synthetic': True}, controls={'synthetic': True}, components={'synthetic': True})
+        write(self.experiment / 'audit/final-status.json', self.status)
+        write(self.experiment / 'regression/frozen-five.json', {'pass_all': True, 'trials': [{'synthetic': True}] * 5})
+        write(self.experiment / 'regression/old-integrity-after.json', {'synthetic-frozen-tree': {'pass': True}})
+        metric = {key: 0.125 for key in descriptive.CAL_MODE_FIELDS}
+        metric.update(gate=False, pairs=[{'gate': False, 'synthetic': 'retained'}], conditions={'mean_sparsity': False},
+                      pairwise_baseline='synthetic original pair baseline', extra_existing_field='must remain untouched')
+        self.calibration = dict(pass_all=False, execution_gate_pass=True, numerical_integrity_pass=True,
+            legacy_calibration_sha256=descriptive.LEGACY_CALIBRATION_SHA256,
+            arms={arm: dict(original_representation_gate_pass=False, numerical_integrity_pass=True,
+                           modes={mode: dict(metric) for mode in descriptive.MODES}) for arm in descriptive.ARMS})
+        write(self.experiment / 'calibration/summary.json', self.calibration)
+        inventory, receipts = [], []
+        for mode in descriptive.MODES:
+            for odor in range(6):
+                for seed in range(51101, 51106):
+                    name = f'cal-{mode}-{odor:02d}-s{seed}'
+                    inventory.append(dict(name=name, mode=mode, seed=seed, odor_id='synthetic-odor-' + str(odor)))
+                    trial = origin_trial(name, mode, seed, 'synthetic-odor-' + str(odor))
+                    path = self.experiment / 'origin-audit' / name / 'summary.json'
+                    write(path, trial)
+                    receipts.append(dict(case=name, summary_sha256=digest(path)))
+        write(self.experiment / 'protocol/calibration-cases.json', inventory)
+        write(self.experiment / 'origin-audit/summary.json', dict(status='PASS-CONDITIONAL-EARLIEST-AL-ORIGIN-AUDIT',
+              pass_all=True, unique_cause_proven=False, trials=receipts))
+        seal(self.model)
+        seal(self.experiment)
+        publication.publish(self.root, HELPER)
+
+    def describe(self):
+        return descriptive.describe(self.root, HELPER)
+
+    def test_full_mode_dicts_fail_status_and_scope_are_retained(self):
+        receipt = digest(self.registry / 'publication-receipt.json')
+        result = self.describe()
+        self.assertEqual(result['declared_final_status'], self.status['status'])
+        path = self.registry / 'interpretation-metrics.json'
+        saved = json.loads(path.read_text(encoding='utf-8'))
+        for arm in descriptive.ARMS:
+            self.assertEqual(saved['original_CAL_mode_summaries'][arm], self.calibration['arms'][arm]['modes'])
+        self.assertFalse(saved['calibration_boolean_flags']['pass_all'])
+        self.assertFalse(saved['new_scientific_gate'])
+        self.assertFalse(saved['unique_cause_proven'])
+        self.assertFalse(saved['learning_achieved'])
+        self.assertFalse(saved['inherited_AI_other_population_or_window_share'])
+        self.assertIn('control', saved['origin_scope'])
+        self.assertEqual(saved['origin_window'], descriptive.WINDOW)
+        self.assertEqual(digest(self.registry / 'publication-receipt.json'), receipt)
+        self.assertEqual((self.registry / 'interpretation-metrics.sha256').read_text(),
+                         digest(path) + '  interpretation-metrics.json\n')
+
+    def test_only_fixed_cohort_window_aggregated_and_counts_not_conflated(self):
+        self.describe()
+        result = json.loads((self.registry / 'interpretation-metrics.json').read_text(encoding='utf-8'))
+        for value in result['origin_by_mode'].values():
+            self.assertEqual(value['trial_count'], 30)
+            self.assertEqual(value['source_groups']['ALLN']['positive_weight_SI'], 30 * .0625)
+            self.assertEqual(value['direct_ALPN_combined']['positive_weight_SI'], 30 * .375)
+            self.assertEqual(value['source_groups']['ALLN']['negative_abs_weight_SI'], 30 * .125)
+            self.assertEqual(value['first_before_KC_trial_count'], 30)
+            self.assertEqual(value['cohort_ALLN_outgoing_events'], 150)
+            self.assertEqual(value['outgoing_events_with_since_reset_design_antecedent'], 90)
+            self.assertEqual(value['compact_join_pair_count'], 510)
+
+    def test_never_overwrite_either_existing_output(self):
+        path = self.registry / 'interpretation-metrics.sha256'
+        path.write_bytes(b'keep partial checksum\n')
+        with self.assertRaisesRegex(ValueError, 'already exists'):
+            self.describe()
+        self.assertEqual(path.read_bytes(), b'keep partial checksum\n')
+        self.assertFalse((self.registry / 'interpretation-metrics.json').exists())
+
+    def test_published_receipt_or_sealed_input_corruption_blocks(self):
+        path = self.experiment / 'calibration/summary.json'
+        path.write_bytes(b'x' * path.stat().st_size)
+        with self.assertRaisesRegex(ValueError, 'Payload SHA-256 mismatch'):
+            self.describe()
+        self.assertFalse((self.registry / 'interpretation-metrics.json').exists())
+
+    def test_success_cannot_be_rerun(self):
+        self.describe()
+        path = self.registry / 'interpretation-metrics.json'
+        before = digest(path)
+        with self.assertRaisesRegex(ValueError, 'already exists'):
+            self.describe()
+        self.assertEqual(digest(path), before)
+
+    def test_censoring_and_first_tick_relation_are_not_relabelled(self):
+        trial = origin_trial('synthetic', 'physiological', 51101, 'synthetic')
+        trial.update(first_any_KC_tick=-1, cohort_before_first_KC=False,
+                     cohort_relation_to_first_KC='KC_unobserved', pre_kc_window_censored=True)
+        result = descriptive.aggregate_origin([trial])
+        self.assertEqual(result['first_before_KC_trial_count'], 0)
+        self.assertEqual(result['first_KC_window_censored_trial_count'], 1)
+        self.assertEqual(result['cohort_relation_trial_counts'], {'KC_unobserved': 1})
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/tools/phase4aj-publication/test_publish_phase4aj.py b/tools/phase4aj-publication/test_publish_phase4aj.py
new file mode 100644
index 0000000..04e355a
--- /dev/null
+++ b/tools/phase4aj-publication/test_publish_phase4aj.py
@@ -0,0 +1,198 @@
+"""Temporary synthetic seals only; never publish/register any real evidence."""
+import hashlib
+import json
+from pathlib import Path
+import tempfile
+import unittest
+from unittest import mock
+
+import publish_phase4aj as publication
+
+
+HELPER = Path(__file__).resolve().parents[1] / 'pn-recruitment-audit-v1/publication.py'
+if not HELPER.is_file():
+    HELPER = publication.ROOT / publication.HELPER_RELATIVE
+
+
+def sha(path):
+    return hashlib.sha256(path.read_bytes()).hexdigest()
+
+
+def write(path, value):
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(json.dumps(value, indent=2), encoding='utf-8')
+
+
+def seal(root):
+    rows = [dict(path=path.relative_to(root).as_posix(), bytes=path.stat().st_size, sha256=sha(path))
+            for path in sorted(root.rglob('*')) if path.is_file() and
+            path.name not in ('manifest.json', 'checksums.sha256') and '__pycache__' not in path.parts]
+    write(root / 'manifest.json', dict(root=str(root), files=rows))
+    lines = [row['sha256'] + '  ' + row['path'] for row in rows]
+    lines.append(sha(root / 'manifest.json') + '  manifest.json')
+    (root / 'checksums.sha256').write_text('\n'.join(lines) + '\n', encoding='utf-8')
+
+
+class PublicationTests(unittest.TestCase):
+    def setUp(self):
+        temporary = tempfile.TemporaryDirectory(prefix='phase4aj-publication-synthetic-')
+        self.addCleanup(temporary.cleanup)
+        self.root = Path(temporary.name).resolve()
+        self.model = self.root / publication.MODEL_RELATIVE
+        self.experiment = self.root / publication.EXPERIMENT_RELATIVE
+        self.registry = self.root / publication.REGISTRY_RELATIVE
+        self.model.mkdir(parents=True)
+        self.experiment.mkdir(parents=True)
+        (self.model / 'module.py').write_text('# synthetic, not a model\n', encoding='utf-8')
+        self.status = dict(status='FAIL-FIXED-CAL-APL-TIMING-HYPOTHESIS', numerical_gate_pass=True,
+            full_CAL_execution_gate_pass=True, delay0_representation_pass=False, delay18_representation_pass=False,
+            old_frozen_integrity_and_five_reference_pass=True, candidate_generated=False, learning_achieved=False,
+            heldout_generalization_tested=False, biological_delay_measured=False,
+            whole_brain_equal_inhibition_integral_claim=False, universal_equivalence_claim=False,
+            shared_APL_arithmetic_oracle_limitation=True)
+        write(self.experiment / 'audit/final-status.json', self.status)
+        write(self.experiment / 'regression/frozen-five.json', dict(pass_all=True, trials=[{'synthetic': i} for i in range(5)]))
+        write(self.experiment / 'regression/old-integrity-after.json', {'synthetic-old-tree': {'pass': True}})
+        write(self.experiment / 'nested/case/summary.json', {'synthetic': True})
+        (self.experiment / 'REPORT.md').write_text('Synthetic failed hypothesis.\n', encoding='utf-8')
+        (self.experiment / 'tests.log').write_text('Synthetic log\n', encoding='utf-8')
+        (self.experiment / 'bulk.npy').write_bytes(b'synthetic bulk bytes, not an array')
+        seal(self.model)
+        seal(self.experiment)
+
+    def publish(self):
+        return publication.publish(self.root, HELPER)
+
+    def test_failed_hypothesis_is_published_without_scientific_pass(self):
+        before = {str(path): sha(path) for base in (self.model, self.experiment)
+                  for path in base.rglob('*') if path.is_file()}
+        result = self.publish()
+        self.assertTrue(result['publication_complete'])
+        self.assertEqual(result['declared_audit_status'], self.status['status'])
+        receipt = json.loads((self.registry / 'publication-receipt.json').read_text(encoding='utf-8'))
+        self.assertFalse(receipt['declared_gate_results']['delay18_representation_pass'])
+        self.assertFalse(receipt['scientific_gate_certified_by_publication'])
+        self.assertTrue(receipt['publication_success_is_not_scientific_pass'])
+        self.assertTrue((self.registry / 'evidence/nested/case/summary.json').is_file())
+        self.assertTrue((self.registry / 'model/checksums.sha256').is_file())
+        self.assertFalse((self.registry / 'model/module.py').exists())
+        self.assertFalse((self.registry / 'evidence/bulk.npy').exists())
+        for row in receipt['files']:
+            self.assertEqual(sha(self.registry / row['path']), row['sha256'])
+        self.assertEqual(before, {str(path): sha(path) for base in (self.model, self.experiment)
+                                 for path in base.rglob('*') if path.is_file()})
+
+    def test_incomplete_final_status_remains_incomplete(self):
+        self.status.update(status='INCOMPLETE-NUMERICAL-OR-CAL-EXECUTION', numerical_gate_pass=False,
+                           full_CAL_execution_gate_pass=False)
+        write(self.experiment / 'audit/final-status.json', self.status)
+        seal(self.experiment)
+        self.assertEqual(self.publish()['declared_audit_status'], self.status['status'])
+
+    def test_pass_requires_consistent_declared_gate_flags(self):
+        self.status['status'] = 'PASS-FIXED-CAL-APL-TIMING-HYPOTHESIS'
+        write(self.experiment / 'audit/final-status.json', self.status)
+        seal(self.experiment)
+        with self.assertRaisesRegex(ValueError, 'Declared PASS contradicts'):
+            self.publish()
+        self.assertFalse(self.registry.exists())
+        self.status['delay18_representation_pass'] = True
+        write(self.experiment / 'audit/final-status.json', self.status)
+        seal(self.experiment)
+        self.assertEqual(self.publish()['declared_audit_status'], self.status['status'])
+
+    def test_explicit_frozen_failure_is_recorded_not_hidden(self):
+        self.status.update(status='FAIL-FROZEN-INTEGRITY-OR-REGRESSION', old_frozen_integrity_and_five_reference_pass=False)
+        write(self.experiment / 'audit/final-status.json', self.status)
+        write(self.experiment / 'regression/old-integrity-after.json', {'synthetic-old-tree': {'pass': False}})
+        seal(self.experiment)
+        self.publish()
+        receipt = json.loads((self.registry / 'publication-receipt.json').read_text(encoding='utf-8'))
+        self.assertFalse(receipt['frozen_integrity_report']['declared_pass_by_root']['synthetic-old-tree'])
+
+    def test_existing_registry_never_overwritten_or_resumed(self):
+        self.registry.mkdir(parents=True)
+        sentinel = self.registry / 'keep.txt'
+        sentinel.write_bytes(b'keep these bytes')
+        with self.assertRaisesRegex(ValueError, 'Registry already exists'):
+            self.publish()
+        self.assertEqual(sentinel.read_bytes(), b'keep these bytes')
+        self.assertEqual(list(self.registry.iterdir()), [sentinel])
+
+    def test_missing_frozen_report_blocks_before_destination(self):
+        (self.experiment / 'regression/frozen-five.json').unlink()
+        seal(self.experiment)
+        with self.assertRaisesRegex(ValueError, 'Required finalized evidence absent'):
+            self.publish()
+        self.assertFalse(self.registry.exists())
+
+    def test_bulk_corruption_blocks_even_though_bulk_is_not_copied(self):
+        path = self.experiment / 'bulk.npy'
+        path.write_bytes(b'x' * path.stat().st_size)
+        with self.assertRaisesRegex(ValueError, 'Payload SHA-256 mismatch'):
+            self.publish()
+        self.assertFalse(self.registry.exists())
+
+    def test_unlisted_payload_and_bad_manifest_self_hash_fail(self):
+        extra = self.experiment / 'unlisted.csv'
+        extra.write_text('unlisted\n')
+        with self.assertRaisesRegex(ValueError, 'unlisted/missing'):
+            self.publish()
+        extra.unlink()
+        controls = self.experiment / 'checksums.sha256'
+        lines = controls.read_text().splitlines()
+        lines[-1] = '0' * 64 + '  manifest.json'
+        controls.write_text('\n'.join(lines) + '\n')
+        with self.assertRaisesRegex(ValueError, 'manifest self-checksum'):
+            self.publish()
+        self.assertFalse(self.registry.exists())
+
+    def test_large_json_verified_but_not_copied(self):
+        path = self.experiment / 'large.json'
+        path.write_bytes(b' ' * (publication.MAX_EVIDENCE_BYTES + 1))
+        seal(self.experiment)
+        self.publish()
+        self.assertFalse((self.registry / 'evidence/large.json').exists())
+        receipt = json.loads((self.registry / 'publication-receipt.json').read_text(encoding='utf-8'))
+        self.assertEqual(next(r for r in receipt['experiment_payload_not_copied'] if r['path'] == 'large.json')['reason'],
+                         'exceeds_4_MiB')
+
+    def test_interrupted_copy_retained_and_cannot_resume(self):
+        with mock.patch.object(publication, '_copy', side_effect=OSError('synthetic interrupted copy')):
+            with self.assertRaisesRegex(OSError, 'synthetic interrupted copy'):
+                self.publish()
+        self.assertTrue((self.registry / 'publication-failure.json').is_file())
+        self.assertFalse((self.registry / 'publication-receipt.json').exists())
+        with self.assertRaisesRegex(ValueError, 'Registry already exists'):
+            self.publish()
+
+    def test_after_copy_full_verification_detects_bulk_change(self):
+        original = publication._copy
+        changed = False
+
+        def copy_then_change(helper, source, destination, size, checksum):
+            nonlocal changed
+            original(helper, source, destination, size, checksum)
+            if not changed:
+                changed = True
+                (self.experiment / 'bulk.npy').write_bytes(b'changed after initial seal check')
+
+        with mock.patch.object(publication, '_copy', side_effect=copy_then_change):
+            with self.assertRaises(ValueError):
+                self.publish()
+        self.assertTrue((self.registry / 'publication-failure.json').is_file())
+        self.assertFalse((self.registry / 'publication-receipt.json').exists())
+
+    def test_helper_pin_checked_without_modifying_old_globals_or_cache(self):
+        helper = publication.load_helpers(HELPER)
+        self.assertEqual(helper.MODEL_RELATIVE, Path('models/male-cns-lif/pn-recruitment-audit-v1'))
+        self.assertEqual(helper.FINAL_STATUS, 'PASS-CONDITIONAL-PN-APL-SOURCE-AUDIT')
+        wrong = self.root / 'wrong-helper.py'
+        wrong.write_bytes(b'raise RuntimeError("must never execute")\n')
+        with self.assertRaisesRegex(ValueError, 'helper hash mismatch'):
+            publication.publish(self.root, wrong)
+        self.assertFalse(self.registry.exists())
+
+
+if __name__ == '__main__':
+    unittest.main()