qishizhe/digital-drosophila
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Seal Phase 4AN exact continuation engineering evidence

Browse Source
This commit is contained in:
Digital Drosophila Archive
2026-09-30 16:46:21 +08:00
parent de61cf14b1
commit aeccb7d0cc
628 changed files with 127078 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/apl-component.json
+45
View File
@@ -0,0 +1,45 @@
{
"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"
}
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/apl-timing-audit.json
+37
View File
@@ -0,0 +1,37 @@
{
"apl_delay_steps": 18,
"applied_generated_rows": 982,
"applied_trace": null,
"biological_delay_measurement_claimed": false,
"brain_tail_advanced": false,
"closed_loop_branch_integrals_claimed_equal": false,
"final_apl_state_float32": [
151.74046325683594,
169.58856201171875
],
"final_apl_state_nonzero": true,
"final_apl_state_u32_bits": [
1125629327,
1126799020
],
"finite_generated_sequence_only": true,
"full_sequence_bitwise_audit_performed": false,
"future_apl_decay_or_feedback_generated": false,
"generated_rows": 1000,
"generated_trace": null,
"pending_application_tick_start": 1000,
"pending_application_tick_stop_exclusive": 1018,
"pending_generated_count": 18,
"pending_generated_tick_start": 982,
"pending_generated_tick_stop_exclusive": 1000,
"pending_initial_zero_prefix": 0,
"pending_queue_drained": false,
"pending_raw_sha256": "c1ebb91163861d3b2d35e180f72f76695703839b46228796f817b2acb56e8bb5",
"pending_shape": [
18,
4064
],
"pending_trace": "apl-pending-tail.float32.npy",
"scope": "Original D18 ring AST retained; generated/applied histories not recorded",
"steps": 1000
}
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/checkpoint-manifest.json
+26
View File
@@ -0,0 +1,26 @@
{
"complete": true,
"counts_scope": "segment_only",
"files_sha256": {
"apl-component.json": "7a49a1a8fbe42b3965913b8e483ef729ba1f13c211f8da7f10b4b2cd142e6882",
"apl-pending-tail.float32.npy": "fc1e2d8ffa426d4118a7544129323c5f7523e9df3e298a60922ca0ecabe7c18f",
"apl-timing-audit.json": "cf1dc0658c942cf5f7e09c9c8dfa7ec49e5762d97e7c7cda1ccca3688552cbf5",
"finite-audit.json": "4542696366df32a26cb71337d5999684d0d0c6e3d81a06430558ec8b793e6c12",
"overlay-audit.json": "bb8ddbcdb4f17c36a7352f0aa863f68e0ba92c3c8507bd99b85df224035d9379",
"overlay-input.npz": "0b219eab09c30dc3af31fef7e6395a9bec1234090abbb72db096da833fed82c5",
"overlay-manifest.json": "11b668978f3070dad26d99d9310bebefa0731fa0d4e361e8dc0ef02a213277c2",
"requests.csv": "4bcc9ef7fdc596ddac3be3b0d29f0aea2e086deeb803f3a90baba21b5490ef53",
"runtime-provenance.json": "7e2f1e3a4fd6b2ae86b34e8be3b67c7ffa645cd1bb1a069b9a555f2ee15c8a20",
"sealed-gpu-source.diff": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
"source-audit.json": "d644f0265632f117bba0e045d26fb266765b1d005a89426b6242f3de034be935",
"state.npz": "933afdc1bd0ea81174aeb334f017cfbe1bbc0a72f8eca767698275c5dca886f3",
"summary.json": "5170c782bd90a0d25dc6a82a41f0ef4fafacde304d9f5bf57dd851f7024970c5",
"terminal-queues.npz": "cf43a90cc755aaa3aa7a34401dda5da2619e52aa915c3c841c487100e92eb947"
},
"global_next_tick": 1000,
"global_tick_offset": 0,
"pre_seal_state_integrity_independently_proven": false,
"schema": "phase4an-checkpoint-v1",
"segment_steps": 1000,
"state_binding_origin": "checkpoint seal; fresh runtime receipt did not hash state.npz"
}
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/finite-audit.json
+9
View File
@@ -0,0 +1,9 @@
{
"accepted_arriving_edges": 13677623,
"all_finite": true,
"arriving_edges": 14890820,
"finite_observed_ticks": 1000,
"first_failure_tick": -1,
"mode": "light",
"scope": "every completed tick; no neuronal or APL tensor mutated by observer"
}
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/overlay-audit.json
+40
View File
@@ -0,0 +1,40 @@
{
"am_helper_sha256": "7f891d0ba79b393c96e75fd2dee2eddc51e57d8213eaac2779703bc2c18712b4",
"apl_fast_edges_zeroed": 5845,
"base_candidate_sha256": "1218d1b328f29a7afefb0ca0b7b6421247f14ad598aa1957a6a7aacbc8cebcae",
"base_weights_raw_sha256": "a8c19cde743bd456bcb2e988d504f805b6943d6ceb97cd241d6e1e472ab5a591",
"bridge": "baseSI64 + (delta32 widened to float64) * float64(0.001); nonzero rows only",
"candidate_count": 14232,
"complete": true,
"delta_dtype": "float32",
"delta_raw_sha256": "9e443dd967cfbeceb84ddf3958ee65d1d4785a1693dd7c9d292b2164d1685ae0",
"delta_units": "mV",
"effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
"eligibility_v2_source_sha256": null,
"inherited_AJ_provenance_only": {
"candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
"diagnostic_additions": [
"generated/applied/pending trace split",
"fixed-sequence bitwise audit",
"source provenance and final APL state disclosure"
],
"module_globals_patched": false,
"only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
"sealed_source_sha256": {
"ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
"af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
"ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
"ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291"
},
"source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03"
},
"mask_sha256": "8b0fb6eb2e6c31da4d17dc20d890aa3f367e514f05642de5bad6b42a1611c05b",
"nonzero_delta_count": 0,
"overlay_name": "zero",
"parent_chain_verified_by_runtime": false,
"parent_snapshot_sha256": null,
"schema": "phase4an-overlay-install-v1",
"state_dtype": "float64",
"weights_updated_during_run": false,
"zero_rows_untouched": true
}
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/overlay-manifest.json
+12
View File
@@ -0,0 +1,12 @@
{
"aj_model_dir": "/data/digital-drosophila/models/male-cns-lif/apl-timing-lab-v1",
"am_overlay_path": "/data/digital-drosophila/models/male-cns-lif/wholebrain-plastic-interface-v1/overlay.py",
"am_overlay_sha256": "7f891d0ba79b393c96e75fd2dee2eddc51e57d8213eaac2779703bc2c18712b4",
"base_candidate_path": "/data/digital-drosophila/experiments/phase4am-wholebrain-plastic-interface/protocol/base-candidate.float32-mV.npy",
"base_candidate_sha256": "1218d1b328f29a7afefb0ca0b7b6421247f14ad598aa1957a6a7aacbc8cebcae",
"mask_path": "/data/digital-drosophila/experiments/phase4h-dopamine-plasticity/plastic-mask/plastic-edge-ids.int64.npy",
"mask_sha256": "8b0fb6eb2e6c31da4d17dc20d890aa3f367e514f05642de5bad6b42a1611c05b",
"overlay_name": "zero",
"overlay_sha256": "0b219eab09c30dc3af31fef7e6395a9bec1234090abbb72db096da833fed82c5",
"schema": "phase4an-overlay-v1"
}
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/requests.csv
+111
View File
@@ -0,0 +1,111 @@
tick,neuron_idx,attempted,accepted,rejected
7,522,1,1,0
15,2943,1,1,0
15,7781,1,1,0
17,2927,1,1,0
31,3252,1,1,0
37,159,1,1,0
37,5519,1,1,0
56,522,1,1,0
69,2535,1,1,0
69,9370,1,1,0
74,1927,1,1,0
78,6842,1,1,0
83,10769,1,1,0
113,12644,1,1,0
114,3345,1,1,0
118,522,1,0,1
133,130472,1,1,0
146,4173,1,1,0
149,21802,1,1,0
156,130497,1,1,0
178,2010,1,0,1
215,14839,1,0,1
236,6842,1,1,0
238,5519,1,0,1
302,360,1,1,0
325,1011,1,1,0
337,2586,1,1,0
342,130753,1,1,0
351,1514,1,0,1
361,1514,1,1,0
374,1927,1,1,0
378,999,1,1,0
384,130753,1,1,0
385,360,1,1,0
395,360,1,0,1
399,4311,1,0,1
404,8504,1,1,0
405,131226,1,0,1
414,999,1,1,0
414,2927,1,1,0
434,522,1,1,0
461,10769,1,0,1
475,360,1,0,1
489,1514,1,0,1
497,130753,1,0,1
506,999,1,0,1
507,12644,1,1,0
513,3161,1,1,0
516,522,1,1,0
518,12644,1,0,1
521,21802,1,1,0
528,130472,1,1,0
529,360,1,1,0
538,7781,1,1,0
541,2970,1,1,0
547,7781,1,0,1
549,131226,1,1,0
550,131226,1,0,1
551,360,1,1,0
596,1514,1,1,0
596,9975,1,1,0
604,2029,1,1,0
605,2347,1,1,0
609,1191,1,1,0
610,10769,1,0,1
613,131226,1,0,1
616,522,1,1,0
617,522,1,0,1
646,2535,1,1,0
650,2010,1,0,1
654,2231,1,1,0
655,522,1,1,0
663,360,1,1,0
667,10769,1,1,0
698,1514,1,1,0
704,12644,1,1,0
716,1514,1,0,1
727,522,1,1,0
727,6842,1,1,0
745,2010,1,1,0
746,360,1,1,0
754,3252,1,1,0
763,130497,1,0,1
764,1890,1,1,0
772,3161,1,1,0
782,9975,1,1,0
794,2029,1,0,1
815,130753,1,0,1
816,1514,1,1,0
816,4505,1,0,1
823,14839,1,1,0
834,522,1,1,0
846,2601,1,1,0
855,999,1,1,0
859,9370,1,1,0
863,522,1,1,0
866,360,1,1,0
876,6842,1,1,0
878,9975,1,1,0
898,522,1,1,0
906,331,1,0,1
906,2010,1,0,1
921,5519,1,0,1
931,522,1,1,0
940,360,1,0,1
942,130753,1,1,0
971,1890,1,1,0
972,2010,1,0,1
995,130753,1,0,1
996,10769,1,1,0
1 tick neuron_idx attempted accepted rejected
2 7 522 1 1 0
3 15 2943 1 1 0
4 15 7781 1 1 0
5 17 2927 1 1 0
6 31 3252 1 1 0
7 37 159 1 1 0
8 37 5519 1 1 0
9 56 522 1 1 0
10 69 2535 1 1 0
11 69 9370 1 1 0
12 74 1927 1 1 0
13 78 6842 1 1 0
14 83 10769 1 1 0
15 113 12644 1 1 0
16 114 3345 1 1 0
17 118 522 1 0 1
18 133 130472 1 1 0
19 146 4173 1 1 0
20 149 21802 1 1 0
21 156 130497 1 1 0
22 178 2010 1 0 1
23 215 14839 1 0 1
24 236 6842 1 1 0
25 238 5519 1 0 1
26 302 360 1 1 0
27 325 1011 1 1 0
28 337 2586 1 1 0
29 342 130753 1 1 0
30 351 1514 1 0 1
31 361 1514 1 1 0
32 374 1927 1 1 0
33 378 999 1 1 0
34 384 130753 1 1 0
35 385 360 1 1 0
36 395 360 1 0 1
37 399 4311 1 0 1
38 404 8504 1 1 0
39 405 131226 1 0 1
40 414 999 1 1 0
41 414 2927 1 1 0
42 434 522 1 1 0
43 461 10769 1 0 1
44 475 360 1 0 1
45 489 1514 1 0 1
46 497 130753 1 0 1
47 506 999 1 0 1
48 507 12644 1 1 0
49 513 3161 1 1 0
50 516 522 1 1 0
51 518 12644 1 0 1
52 521 21802 1 1 0
53 528 130472 1 1 0
54 529 360 1 1 0
55 538 7781 1 1 0
56 541 2970 1 1 0
57 547 7781 1 0 1
58 549 131226 1 1 0
59 550 131226 1 0 1
60 551 360 1 1 0
61 596 1514 1 1 0
62 596 9975 1 1 0
63 604 2029 1 1 0
64 605 2347 1 1 0
65 609 1191 1 1 0
66 610 10769 1 0 1
67 613 131226 1 0 1
68 616 522 1 1 0
69 617 522 1 0 1
70 646 2535 1 1 0
71 650 2010 1 0 1
72 654 2231 1 1 0
73 655 522 1 1 0
74 663 360 1 1 0
75 667 10769 1 1 0
76 698 1514 1 1 0
77 704 12644 1 1 0
78 716 1514 1 0 1
79 727 522 1 1 0
80 727 6842 1 1 0
81 745 2010 1 1 0
82 746 360 1 1 0
83 754 3252 1 1 0
84 763 130497 1 0 1
85 764 1890 1 1 0
86 772 3161 1 1 0
87 782 9975 1 1 0
88 794 2029 1 0 1
89 815 130753 1 0 1
90 816 1514 1 1 0
91 816 4505 1 0 1
92 823 14839 1 1 0
93 834 522 1 1 0
94 846 2601 1 1 0
95 855 999 1 1 0
96 859 9370 1 1 0
97 863 522 1 1 0
98 866 360 1 1 0
99 876 6842 1 1 0
100 878 9975 1 1 0
101 898 522 1 1 0
102 906 331 1 0 1
103 906 2010 1 0 1
104 921 5519 1 0 1
105 931 522 1 1 0
106 940 360 1 0 1
107 942 130753 1 1 0
108 971 1890 1 1 0
109 972 2010 1 0 1
110 995 130753 1 0 1
111 996 10769 1 1 0
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/runtime-provenance.json
+85
View File
@@ -0,0 +1,85 @@
{
"admission_bound_changed_explicitly": true,
"ast": {
"added_runtime_callbacks": [
"_runtime.install(weights, graph, apl_out_mask, upload, out_dir, source_provenance, device)",
"_runtime.finish(ring, apl_ring, apl, steps, out_dir)",
"_runtime.timing(steps, pending)",
"_runtime.after_tick(tick, v, g, ref, drive, apl_state, h, applied_h)",
"_runtime.arrivals(expanded, destination, ref)"
],
"admission_edit": "0 < steps <= 1000 -> 0 < steps <= spec.max_steps",
"aj_source_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
"derived_math_ast_sha256": "e46b7d037862b54c0000381ea50df3ba416c7c2c134e3cea78fa90ddf549f710",
"derived_module_ast_sha256": "4572043a15a53b3874766b40b4521422567761dbc75db57535ab44b817210429",
"derived_namespace_file": "/data/digital-drosophila/models/male-cns-lif/olfactory-conditioning-lab-v1/runtime_light.py",
"math_ast_sha256": "e46b7d037862b54c0000381ea50df3ba416c7c2c134e3cea78fa90ddf549f710",
"mathematical_ast_identical": true,
"mode": "light",
"old_globals_patched": false,
"original_module_file": "/data/digital-drosophila/models/male-cns-lif/apl-timing-lab-v1/gpu_timing.py",
"output_metadata_binding": "new write_json only labels recording/within-trial scope; no old global mutated",
"post_loop_terminal_recording": "_runtime.finish(ring, apl_ring, apl, steps, out_dir)",
"pre_loop_installation": "_runtime.install(weights, graph, apl_out_mask, upload, out_dir, source_provenance, device)",
"reference_entire_tick_loop_identical": false,
"removed_diagnostic_statements": [
"Assign(targets=[Subscript(value=Name(id='maps', ctx=Load()), slice=Constant(value='apl_applied'), ctx=Store())], value=Call(func=Name(id='new_array', ctx=Load()), args=[BinOp(left=Name(id='out_dir', ctx=Load()), op=Div(), right=Constant(value='apl-applied.float32.npy')), Attribute(value=Name(id='np', ctx=Load()), attr='float32', ctx=Load()), Tuple(elts=[Name(id='steps', ctx=Load()), Constant(value=4064)], ctx=Load())], keywords=[]))",
"For(target=Tuple(elts=[Name(id='name', ctx=Store()), Name(id='width', ctx=Store())], ctx=Store()), iter=Tuple(elts=[Tuple(elts=[Constant(value='drive'), Constant(value=2)], ctx=Load()), Tuple(elts=[Constant(value='state'), Constant(value=2)], ctx=Load()), Tuple(elts=[Constant(value='inhibition'), Constant(value=4064)], ctx=Load())], ctx=Load()), body=[Assign(targets=[Subscript(value=Name(id='maps', ctx=Load()), slice=BinOp(left=Constant(value='apl_'), op=Add(), right=Name(id='name', ctx=Load())), ctx=Store())], value=Call(func=Name(id='new_array', ctx=Load()), args=[BinOp(left=Name(id='out_dir', ctx=Load()), op=Div(), right=BinOp(left=BinOp(left=Constant(value='apl-'), op=Add(), right=Name(id='name', ctx=Load())), op=Add(), right=Constant(value='.float32.npy'))), Attribute(value=Name(id='np', ctx=Load()), attr='float32', ctx=Load()), Tuple(elts=[Name(id='steps', ctx=Load()), Name(id='width', ctx=Load())], ctx=Load())], keywords=[]))], orelse=[])",
"If(test=Subscript(value=Name(id='spec', ctx=Load()), slice=Constant(value='record_history'), ctx=Load()), body=[For(target=Tuple(elts=[Name(id='name', ctx=Store()), Name(id='dtype', ctx=Store())], ctx=Store()), iter=Tuple(elts=[Tuple(elts=[Constant(value='v'), Attribute(value=Name(id='np', ctx=Load()), attr='float64', ctx=Load())], ctx=Load()), Tuple(elts=[Constant(value='g'), Attribute(value=Name(id='np', ctx=Load()), attr='float64', ctx=Load())], ctx=Load()), Tuple(elts=[Constant(value='ref'), Attribute(value=Name(id='np', ctx=Load()), attr='int32', ctx=Load())], ctx=Load())], ctx=Load()), body=[Assign(targets=[Subscript(value=Name(id='maps', ctx=Load()), slice=Name(id='name', ctx=Load()), ctx=Store())], value=Call(func=Name(id='new_array', ctx=Load()), args=[BinOp(left=Name(id='out_dir', ctx=Load()), op=Div(), right=BinOp(left=BinOp(left=BinOp(left=Name(id='name', ctx=Load()), op=Add(), right=Constant(value='-history.')), op=Add(), right=Attribute(value=Call(func=Attribute(value=Name(id='np', ctx=Load()), attr='dtype', ctx=Load()), args=[Name(id='dtype', ctx=Load())], keywords=[]), attr='name', ctx=Load())), op=Add(), right=Constant(value='.npy'))), Name(id='dtype', ctx=Load()), Tuple(elts=[Name(id='steps', ctx=Load()), Name(id='n', ctx=Load())], ctx=Load())], keywords=[])), Assign(targets=[Subscript(value=Name(id='maps', ctx=Load()), slice=BinOp(left=Constant(value='pre_'), op=Add(), right=Name(id='name', ctx=Load())), ctx=Store())], value=Call(func=Name(id='new_array', ctx=Load()), args=[BinOp(left=Name(id='out_dir', ctx=Load()), op=Div(), right=BinOp(left=BinOp(left=BinOp(left=BinOp(left=Constant(value='preAPL-'), op=Add(), right=Name(id='name', ctx=Load())), op=Add(), right=Constant(value='.')), op=Add(), right=Attribute(value=Call(func=Attribute(value=Name(id='np', ctx=Load()), attr='dtype', ctx=Load()), args=[Name(id='dtype', ctx=Load())], keywords=[]), attr='name', ctx=Load())), op=Add(), right=Constant(value='.npy'))), Name(id='dtype', ctx=Load()), Tuple(elts=[Name(id='steps', ctx=Load()), Name(id='n', ctx=Load())], ctx=Load())], keywords=[]))], orelse=[])], orelse=[])",
"Assign(targets=[Name(id='expanded_global', ctx=Store())], value=Call(func=Attribute(value=Name(id='np', ctx=Load()), attr='empty', ctx=Load()), args=[Constant(value=0)], keywords=[keyword(arg='dtype', value=Attribute(value=Name(id='np', ctx=Load()), attr='int64', ctx=Load()))]))",
"Assign(targets=[Name(id='accepted_cpu', ctx=Store())], value=Call(func=Attribute(value=Name(id='np', ctx=Load()), attr='empty', ctx=Load()), args=[Constant(value=0)], keywords=[keyword(arg='dtype', value=Attribute(value=Name(id='np', ctx=Load()), attr='uint8', ctx=Load()))]))",
"Assign(targets=[Name(id='expanded_global', ctx=Store())], value=Call(func=Attribute(value=Subscript(value=Subscript(value=Name(id='graph', ctx=Load()), slice=Constant(value='edge_id'), ctx=Load()), slice=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='expanded', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), ctx=Load()), attr='copy', ctx=Load()), args=[], keywords=[]))",
"Assign(targets=[Name(id='accepted_cpu', ctx=Store())], value=Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Compare(left=Subscript(value=Name(id='ref', ctx=Load()), slice=Call(func=Attribute(value=Name(id='destination', ctx=Load()), attr='long', ctx=Load()), args=[], keywords=[]), ctx=Load()), ops=[Eq()], comparators=[Constant(value=0)]), attr='to', ctx=Load()), args=[Attribute(value=Name(id='torch', ctx=Load()), attr='uint8', ctx=Load())], keywords=[]), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), attr='copy', ctx=Load()), args=[], keywords=[]))",
"Assign(targets=[Name(id='queue', ctx=Store())], value=Call(func=Name(id='queue_summary', ctx=Load()), args=[Name(id='tick', ctx=Load()), Name(id='expanded_global', ctx=Load()), Name(id='accepted_cpu', ctx=Load())], keywords=[]))",
"Expr(value=Call(func=Attribute(value=Name(id='queue_output', ctx=Load()), attr='write', ctx=Load()), args=[BinOp(left=Call(func=Attribute(value=Name(id='json', ctx=Load()), attr='dumps', ctx=Load()), args=[Name(id='queue', ctx=Load())], keywords=[keyword(arg='allow_nan', value=Constant(value=False))]), op=Add(), right=Constant(value='\\n'))], keywords=[]))",
"AugAssign(target=Name(id='due_total', ctx=Store()), op=Add(), value=Subscript(value=Name(id='queue', ctx=Load()), slice=Constant(value='count'), ctx=Load()))",
"AugAssign(target=Name(id='accepted_due_total', ctx=Store()), op=Add(), value=Subscript(value=Name(id='queue', ctx=Load()), slice=Constant(value='accepted_count'), ctx=Load()))",
"If(test=Subscript(value=Name(id='spec', ctx=Load()), slice=Constant(value='record_history'), ctx=Load()), body=[For(target=Tuple(elts=[Name(id='name', ctx=Store()), Name(id='value', ctx=Store())], ctx=Store()), iter=Tuple(elts=[Tuple(elts=[Constant(value='v'), Name(id='v', ctx=Load())], ctx=Load()), Tuple(elts=[Constant(value='g'), Name(id='g', ctx=Load())], ctx=Load()), Tuple(elts=[Constant(value='ref'), Name(id='ref', ctx=Load())], ctx=Load())], ctx=Load()), body=[Assign(targets=[Subscript(value=Subscript(value=Name(id='maps', ctx=Load()), slice=BinOp(left=Constant(value='pre_'), op=Add(), right=Name(id='name', ctx=Load())), ctx=Load()), slice=Name(id='tick', ctx=Load()), ctx=Store())], value=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='value', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]))], orelse=[])], orelse=[])",
"Assign(targets=[Name(id='apl_cpu', ctx=Store())], value=Dict(keys=[Constant(value='drive'), Constant(value='state'), Constant(value='inhibition'), Constant(value='applied')], values=[Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='drive', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), attr='copy', ctx=Load()), args=[], keywords=[]), Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='apl_state', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), attr='copy', ctx=Load()), args=[], keywords=[]), Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='h', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), attr='copy', ctx=Load()), args=[], keywords=[]), Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='applied_h', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), attr='copy', ctx=Load()), args=[], keywords=[])]))",
"For(target=Tuple(elts=[Name(id='name', ctx=Store()), Name(id='value', ctx=Store())], ctx=Store()), iter=Call(func=Attribute(value=Name(id='apl_cpu', ctx=Load()), attr='items', ctx=Load()), args=[], keywords=[]), body=[Assign(targets=[Subscript(value=Subscript(value=Name(id='maps', ctx=Load()), slice=BinOp(left=Constant(value='apl_'), op=Add(), right=Name(id='name', ctx=Load())), ctx=Load()), slice=Name(id='tick', ctx=Load()), ctx=Store())], value=Name(id='value', ctx=Load()))], orelse=[])",
"Assign(targets=[Name(id='actual', ctx=Store())], value=Dict(keys=[Constant(value='v'), Constant(value='g'), Constant(value='ref')], values=[Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='v', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), attr='copy', ctx=Load()), args=[], keywords=[]), Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='g', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), attr='copy', ctx=Load()), args=[], keywords=[]), Call(func=Attribute(value=Call(func=Attribute(value=Call(func=Attribute(value=Name(id='ref', ctx=Load()), attr='cpu', ctx=Load()), args=[], keywords=[]), attr='numpy', ctx=Load()), args=[], keywords=[]), attr='copy', ctx=Load()), args=[], keywords=[])]))",
"Assign(targets=[Name(id='finite', ctx=Store())], value=Call(func=Name(id='all', ctx=Load()), args=[GeneratorExp(elt=Call(func=Name(id='bool', ctx=Load()), args=[Call(func=Attribute(value=Call(func=Attribute(value=Name(id='np', ctx=Load()), attr='isfinite', ctx=Load()), args=[Name(id='value', ctx=Load())], keywords=[]), attr='all', ctx=Load()), args=[], keywords=[])], keywords=[]), generators=[comprehension(target=Name(id='value', ctx=Store()), iter=BinOp(left=Call(func=Name(id='list', ctx=Load()), args=[Call(func=Attribute(value=Name(id='actual', ctx=Load()), attr='values', ctx=Load()), args=[], keywords=[])], keywords=[]), op=Add(), right=Call(func=Name(id='list', ctx=Load()), args=[Call(func=Attribute(value=Name(id='apl_cpu', ctx=Load()), attr='values', ctx=Load()), args=[], keywords=[])], keywords=[])), ifs=[], is_async=0)])], keywords=[]))",
"Assign(targets=[Name(id='row', ctx=Store())], value=Dict(keys=[Constant(value='tick'), None], values=[Name(id='tick', ctx=Load()), DictComp(key=BinOp(left=Name(id='name', ctx=Load()), op=Add(), right=Constant(value='_sha256')), value=Call(func=Name(id='raw_hash', ctx=Load()), args=[Name(id='value', ctx=Load()), IfExp(test=Compare(left=Name(id='name', ctx=Load()), ops=[Eq()], comparators=[Constant(value='ref')]), body=Constant(value='<i4'), orelse=Constant(value='<f8'))], keywords=[]), generators=[comprehension(target=Tuple(elts=[Name(id='name', ctx=Store()), Name(id='value', ctx=Store())], ctx=Store()), iter=Call(func=Attribute(value=Name(id='actual', ctx=Load()), attr='items', ctx=Load()), args=[], keywords=[]), ifs=[], is_async=0)])]))",
"Expr(value=Call(func=Attribute(value=Name(id='hash_output', ctx=Load()), attr='write', ctx=Load()), args=[BinOp(left=Call(func=Attribute(value=Name(id='json', ctx=Load()), attr='dumps', ctx=Load()), args=[Name(id='row', ctx=Load())], keywords=[keyword(arg='allow_nan', value=Constant(value=False))]), op=Add(), right=Constant(value='\\n'))], keywords=[]))",
"If(test=Subscript(value=Name(id='spec', ctx=Load()), slice=Constant(value='record_history'), ctx=Load()), body=[For(target=Tuple(elts=[Name(id='name', ctx=Store()), Name(id='value', ctx=Store())], ctx=Store()), iter=Call(func=Attribute(value=Name(id='actual', ctx=Load()), attr='items', ctx=Load()), args=[], keywords=[]), body=[Assign(targets=[Subscript(value=Subscript(value=Name(id='maps', ctx=Load()), slice=Name(id='name', ctx=Load()), ctx=Load()), slice=Name(id='tick', ctx=Load()), ctx=Store())], value=Name(id='value', ctx=Load()))], orelse=[])], orelse=[])",
"If(test=UnaryOp(op=Not(), operand=Name(id='finite', ctx=Load())), body=[With(items=[withitem(context_expr=Call(func=Attribute(value=BinOp(left=Name(id='out_dir', ctx=Load()), op=Div(), right=Constant(value='first-failure-state.npz')), attr='open', ctx=Load()), args=[Constant(value='xb')], keywords=[]), optional_vars=Name(id='target', ctx=Store()))], body=[Expr(value=Call(func=Attribute(value=Name(id='np', ctx=Load()), attr='savez_compressed', ctx=Load()), args=[Name(id='target', ctx=Load())], keywords=[keyword(arg='tick', value=Call(func=Attribute(value=Name(id='np', ctx=Load()), attr='array', ctx=Load()), args=[Name(id='tick', ctx=Load())], keywords=[keyword(arg='dtype', value=Attribute(value=Name(id='np', ctx=Load()), attr='int32', ctx=Load()))])), keyword(value=Name(id='actual', ctx=Load())), keyword(value=DictComp(key=BinOp(left=Constant(value='apl_'), op=Add(), right=Name(id='name', ctx=Load())), value=Name(id='value', ctx=Load()), generators=[comprehension(target=Tuple(elts=[Name(id='name', ctx=Store()), Name(id='value', ctx=Store())], ctx=Store()), iter=Call(func=Attribute(value=Name(id='apl_cpu', ctx=Load()), attr='items', ctx=Load()), args=[], keywords=[]), ifs=[], is_async=0)]))]))]), Expr(value=Call(func=Name(id='require', ctx=Load()), args=[Constant(value=False), Constant(value='Nonfinite state; first failure saved')], keywords=[]))], orelse=[])"
],
"replaced_diagnostic_nodes": [
"withitem(context_expr=Call(func=Attribute(value=BinOp(left=Name(id='out_dir', ctx=Load()), op=Div(), right=Constant(value='queue.jsonl')), attr='open', ctx=Load()), args=[Constant(value='x')], keywords=[keyword(arg='encoding', value=Constant(value='utf-8')), keyword(arg='buffering', value=Constant(value=1))]), optional_vars=Name(id='queue_output', ctx=Store()))",
"withitem(context_expr=Call(func=Attribute(value=BinOp(left=Name(id='out_dir', ctx=Load()), op=Div(), right=Constant(value='tick-state-hashes.jsonl')), attr='open', ctx=Load()), args=[Constant(value='x')], keywords=[keyword(arg='encoding', value=Constant(value='utf-8')), keyword(arg='buffering', value=Constant(value=1))]), optional_vars=Name(id='hash_output', ctx=Store()))",
"Assign(targets=[Name(id='timing', ctx=Store())], value=Call(func=Name(id='audit_sequence', ctx=Load()), args=[Subscript(value=Name(id='maps', ctx=Load()), slice=Constant(value='apl_inhibition'), ctx=Load()), Subscript(value=Name(id='maps', ctx=Load()), slice=Constant(value='apl_applied'), ctx=Load()), Name(id='pending', ctx=Load()), Name(id='apl_delay', ctx=Load())], keywords=[]))"
]
},
"complete": true,
"finite_audit_sha256": "4542696366df32a26cb71337d5999684d0d0c6e3d81a06430558ec8b793e6c12",
"input_sha256": {
"/data/digital-drosophila/experiments/phase4ag-author-apl-r2/graphs/full/weights.npy": "462839ffc3feb8f6c278044488082b1c8e410e7f23229d6b5e29d1b7042416a1",
"/data/digital-drosophila/experiments/phase4am-wholebrain-plastic-interface/overlays/zero.npz": "0b219eab09c30dc3af31fef7e6395a9bec1234090abbb72db096da833fed82c5",
"/data/digital-drosophila/experiments/phase4am-wholebrain-plastic-interface/protocol/base-candidate.float32-mV.npy": "1218d1b328f29a7afefb0ca0b7b6421247f14ad598aa1957a6a7aacbc8cebcae",
"/data/digital-drosophila/experiments/phase4an-engineering-validation/cases/zero--fresh--light-r0/requests.npz": "003a6f6306787b67391735c41dd8b14c689beaaab3ab71a5e9afb376d3cbb091",
"/data/digital-drosophila/experiments/phase4an-engineering-validation/cases/zero--fresh--light-r0/spec.json": "67c84138bab13ad1790020924064e6ead8b3d739c62bb44013d5b1f8cf40299e",
"/data/digital-drosophila/experiments/phase4an-engineering-validation/overlays/zero.json": "11b668978f3070dad26d99d9310bebefa0731fa0d4e361e8dc0ef02a213277c2",
"/data/digital-drosophila/experiments/phase4h-dopamine-plasticity/plastic-mask/plastic-edge-ids.int64.npy": "8b0fb6eb2e6c31da4d17dc20d890aa3f367e514f05642de5bad6b42a1611c05b",
"/data/digital-drosophila/models/male-cns-lif/apl-timing-lab-v1/gpu_timing.py": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
"/data/digital-drosophila/models/male-cns-lif/apl-timing-lab-v1/timing_queue.py": "54df6d4818e2a0c26e96fb0aaf5d9b71cd964981706da937562d48af79aca14e",
"/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/gpu_apl.py": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
"/data/digital-drosophila/models/male-cns-lif/author-apl-lab-v2/legacy_apl_worker.py": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291",
"/data/digital-drosophila/models/male-cns-lif/author-fullgraph-lab-v1/oracle_full.py": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
"/data/digital-drosophila/models/male-cns-lif/author-runtime-lab-v1/author_ext.cpp": "208a937d17bbb041b9bf6b25b89264ee566830b60609e58491b44583d8541f15",
"/data/digital-drosophila/models/male-cns-lif/author-runtime-lab-v1/author_ext.cu": "669f166e18ce9a3f63fc723db8b0a8b74f7fa4757194b1bd65b4cf6008a7787e",
"/data/digital-drosophila/models/male-cns-lif/author-runtime-lab-v1/gpu_backend.py": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
"/data/digital-drosophila/models/male-cns-lif/wholebrain-plastic-interface-v1/overlay.py": "7f891d0ba79b393c96e75fd2dee2eddc51e57d8213eaac2779703bc2c18712b4"
},
"learning_pass_claimed": false,
"math_changed": false,
"mode": "light",
"old_globals_patched": false,
"overlay_audit_sha256": "bb8ddbcdb4f17c36a7352f0aa863f68e0ba92c3c8507bd99b85df224035d9379",
"parent_chain_verification_owned_by_coordinator": true,
"schema": "phase4an-reporting-adapter-v1",
"source_file": "/data/digital-drosophila/models/male-cns-lif/olfactory-conditioning-lab-v1/runtime_light.py",
"source_sha256": "522b8c31ea938890fe15364fccd25ccc5bded54101754909f255532e7ad01aae",
"summary_sha256": "5170c782bd90a0d25dc6a82a41f0ef4fafacde304d9f5bf57dd851f7024970c5",
"terminal_queues_sha256": "cf43a90cc755aaa3aa7a34401dda5da2619e52aa915c3c841c487100e92eb947",
"weights_updated_during_run": false
}
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/source-audit.json
+17
View File
@@ -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"
]
}
registry/phase4an-engineering-validation/evidence/runs/zero--fresh--light-r0/summary.json
+181
View File
@@ -0,0 +1,181 @@
{
"accepted_arriving_edges": 13677623,
"accepted_requests": 79,
"all_finite": true,
"apl_component": {
"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"
},
"apl_delay_steps": 18,
"apl_fast_edges_zeroed": 5845,
"apl_precision": "float32",
"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_timing": {
"apl_delay_steps": 18,
"applied_generated_rows": 982,
"applied_trace": null,
"biological_delay_measurement_claimed": false,
"brain_tail_advanced": false,
"closed_loop_branch_integrals_claimed_equal": false,
"final_apl_state_float32": [
151.74046325683594,
169.58856201171875
],
"final_apl_state_nonzero": true,
"final_apl_state_u32_bits": [
1125629327,
1126799020
],
"finite_generated_sequence_only": true,
"full_sequence_bitwise_audit_performed": false,
"future_apl_decay_or_feedback_generated": false,
"generated_rows": 1000,
"generated_trace": null,
"pending_application_tick_start": 1000,
"pending_application_tick_stop_exclusive": 1018,
"pending_generated_count": 18,
"pending_generated_tick_start": 982,
"pending_generated_tick_stop_exclusive": 1000,
"pending_initial_zero_prefix": 0,
"pending_queue_drained": false,
"pending_raw_sha256": "c1ebb91163861d3b2d35e180f72f76695703839b46228796f817b2acb56e8bb5",
"pending_shape": [
18,
4064
],
"pending_trace": "apl-pending-tail.float32.npy",
"scope": "Original D18 ring AST retained; generated/applied histories not recorded",
"steps": 1000
},
"arriving_edges": 14890820,
"build": {
"arch_list": "8.9",
"cuda_flags": [
"-O2",
"--fmad=false",
"--ftz=false",
"--prec-div=true",
"--prec-sqrt=true"
],
"sources": {
"author_ext.cpp": "208a937d17bbb041b9bf6b25b89264ee566830b60609e58491b44583d8541f15",
"author_ext.cu": "669f166e18ce9a3f63fc723db8b0a8b74f7fa4757194b1bd65b4cf6008a7787e"
},
"torch": "2.14.0+cu130",
"torch_cuda": "13.0"
},
"build_or_cache_seconds": 0.46568870000191964,
"case": "seed_validation-physiological-00-s1073741825",
"checkpoint_continuation_used": false,
"complete": true,
"completed_ticks": 1000,
"counts_match_sparse_events": true,
"cpu_sync_each_tick": true,
"diagnostic_mode": "light",
"diagnostic_simulation_seconds": 2.1907781580011942,
"edges": 25582938,
"effective_weights_raw_sha256": "b8b8f43048e0ef03943e607666319d25363bed3b2564fdc02b4149837e7eedc9",
"entire_neural_trial_executed": true,
"explicit_steps_executed": 1000,
"first_failure_tick": -1,
"full_APL_history_recorded": false,
"full_queue_hashes_recorded": false,
"full_sequence_bitwise_audit_performed": false,
"full_tick_state_hashes_recorded": false,
"future_generated_decay_tail_included": false,
"hidden_early_stop": false,
"input_sha256": {
"base_weights.npy": "462839ffc3feb8f6c278044488082b1c8e410e7f23229d6b5e29d1b7042416a1",
"coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
"requests.npz": "003a6f6306787b67391735c41dd8b14c689beaaab3ab71a5e9afb376d3cbb091",
"spec.json": "67c84138bab13ad1790020924064e6ead8b3d739c62bb44013d5b1f8cf40299e"
},
"kc_targets_present": 4064,
"learning_pass_claimed": false,
"max_steps": 1000,
"nodes": 166700,
"oracle_validation_claim": false,
"outer_learning_status": "not evaluated by this single-trial executor",
"outer_protocol": "phase4an-engineering-validation-no-training",
"pass_all": true,
"pass_all_scope": "single fixed-weight trial finite/recording integrity only; no learning or equivalence claim",
"peak_allocated_vram_bytes": 518003712,
"peak_reserved_vram_bytes": 541065216,
"pending_generated_count": 18,
"pending_initial_zero_prefix": 0,
"pending_tail_shape": [
18,
4064
],
"performance_runtime_claim": false,
"precision": "float64",
"record_history": false,
"rejected_requests": 31,
"requested": 110,
"sealed_ae_backend_sha256": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
"shared_apl_component_oracle_limitation": true,
"source_provenance": {
"candidate_sha256": "af1975ba5e5e700208c0a598d3cbe648a3cf10885c6231239b6e4b28f76d173b",
"diagnostic_additions": [
"generated/applied/pending trace split",
"fixed-sequence bitwise audit",
"source provenance and final APL state disclosure"
],
"module_globals_patched": false,
"only_dynamics_change": "fixed zero-initialized 0/18-step h32 delay before unchanged end g write",
"sealed_source_sha256": {
"ae_backend": "03758d07572f4b44d272059d9308fac534268ad201b57bdd77d69fee95e67278",
"af_queue": "d72003d98f0f1624b12126eff50bd361c43d888f4a64d90ba9247a58976f1961",
"ag_gpu": "69f5d893f47dafff4ef7c3186c3df0b9014666b32c8f4e943b57016bec92b18a",
"ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291"
},
"source_diff_sha256": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03"
},
"state_units": "SI volts",
"steps": 1000,
"total_spikes": 30876,
"wall_seconds": 3.8365064809986507,
"within_trial_weight_updates": false
}