Seal Phase 4AN exact continuation engineering evidence

2026-09-30 16:46:21 +08:00
parent de61cf14b1
commit aeccb7d0cc
628 changed files with 127078 additions and 1 deletions
@@ -0,0 +1,45 @@
+{
+  "array_sha256": {
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+    "input_matrix.npy": "528a5f6f5ffe424f323c5a44695db4a7cf32570709832eff2f37f49e85c92c3e",
+    "kc_globals.npy": "9e990d10a63b0f74cd7bbbdc5369082f24d5246487af944ba289bc6bf48d4b75",
+    "output_matrix.npy": "0dcf02cdb7836ab72da32ac47f5682ca33e25f63a8a662a8452d4ea9d46babb9"
+  },
+  "decay_f32_bits": "3f7eb923",
+  "dt_ms": 0.1,
+  "environment": {
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+    "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": [
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+      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": {
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+    "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"
+}
@@ -0,0 +1,50 @@
+{
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+  "applied_generated_rows": 463,
+  "applied_initial_zero_rows": 0,
+  "applied_parent_generated_rows": 18,
+  "applied_parent_pending_rows": 18,
+  "applied_trace": null,
+  "biological_delay_measurement_claimed": false,
+  "brain_tail_advanced": false,
+  "brain_tail_advanced_scope": "no extra brain ticks beyond this explicit segment",
+  "closed_loop_branch_integrals_claimed_equal": false,
+  "final_apl_state_float32": [
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+    161.61099243164062
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+  "final_apl_state_nonzero": true,
+  "final_apl_state_u32_bits": [
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+    1126276202
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+  "finite_generated_sequence_only": true,
+  "full_sequence_bitwise_audit_performed": false,
+  "future_apl_decay_or_feedback_generated": false,
+  "generated_rows": 481,
+  "generated_trace": null,
+  "global_next_tick": 500,
+  "global_tick_offset": 19,
+  "initial_queue_from_parent": true,
+  "initial_queue_raw_sha256": "7a98eb11e689b113a279bb100e2d9aa2a971f71854486a250ed23102b9d56e51",
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+  "pending_application_tick_stop_exclusive": 518,
+  "pending_generated_count": 18,
+  "pending_generated_tick_start": 482,
+  "pending_generated_tick_stop_exclusive": 500,
+  "pending_initial_zero_prefix": 0,
+  "pending_parent_generated_rows": 0,
+  "pending_queue_drained": false,
+  "pending_raw_sha256": "a923a3b895a6c3bb8b24126d61d93a93be4925458fbaa701816f3a274c3e4ea0",
+  "pending_segment_generated_rows": 18,
+  "pending_shape": [
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+    4064
+  ],
+  "pending_trace": "apl-pending-tail.float32.npy",
+  "scope": "Original D18 ring math retained with restored queue; histories not recorded",
+  "segment_generated_rows_applied": 463,
+  "segment_steps": 481,
+  "steps": 481,
+  "tick_coordinate": "global"
+}
@@ -0,0 +1,27 @@
+{
+  "complete": true,
+  "counts_scope": "segment_only",
+  "files_sha256": {
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+    "overlay-manifest.json": "11b668978f3070dad26d99d9310bebefa0731fa0d4e361e8dc0ef02a213277c2",
+    "requests.csv": "bf0cc878e78bdbc1272833829ab7ac0dd3734e1b84a8f4c6d61c4f3ac05bae5f",
+    "runtime-provenance.json": "71506e5e0eea3964987a1d0eaade3be6268b478d6a9ec4c5c0244fd254b57977",
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+    "state.npz": "39fed967ede12bd1f085c60aabe527bd5138b5af8f20063d80374e15e689e92e",
+    "summary.json": "1d753fe8c8ef4a3f1860beb329d38481a2d513fc01b1a23e5459eed930436f48",
+    "terminal-queues.npz": "5140f54c237a9574f1ec163220dc8a8047fcf87ff1914a5a8bb27dcff2d35171"
+  },
+  "global_next_tick": 500,
+  "global_tick_offset": 19,
+  "pre_seal_state_integrity_independently_proven": false,
+  "schema": "phase4an-checkpoint-v1",
+  "segment_steps": 481,
+  "state_binding_origin": "checkpoint seal; fresh runtime receipt did not hash state.npz"
+}
@@ -0,0 +1,29 @@
+{
+  "checkpoint_continuation_verified_by_GPU_comparison": false,
+  "clock_admission_edit": "tick + _continuation.global_offset >= 18",
+  "complete": true,
+  "counts_scope": "segment_only_not_lifetime",
+  "global_next_tick": 500,
+  "global_tick_offset": 19,
+  "parent_checkpoint_dir": "/data/digital-drosophila/experiments/phase4an-engineering-validation/runs/zero--chain--light-s02",
+  "parent_checkpoint_manifest_sha256": "61b16179c796301e05f4c6f6989d0d31e0e8da0d7d38f086aecacc9b61d5bfcb",
+  "payload_sha256": {
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+    "requests.csv": "bf0cc878e78bdbc1272833829ab7ac0dd3734e1b84a8f4c6d61c4f3ac05bae5f",
+    "runtime-provenance.json": "71506e5e0eea3964987a1d0eaade3be6268b478d6a9ec4c5c0244fd254b57977",
+    "sealed-gpu-source.diff": "0584f865885b18e6a36870a7ecfbbc98d7a94274fa5e9e073e7cf97597d78a03",
+    "source-audit.json": "d644f0265632f117bba0e045d26fb266765b1d005a89426b6242f3de034be935",
+    "state.npz": "39fed967ede12bd1f085c60aabe527bd5138b5af8f20063d80374e15e689e92e",
+    "summary.json": "1d753fe8c8ef4a3f1860beb329d38481a2d513fc01b1a23e5459eed930436f48",
+    "terminal-queues.npz": "5140f54c237a9574f1ec163220dc8a8047fcf87ff1914a5a8bb27dcff2d35171"
+  },
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+  "segment_steps": 481,
+  "weights_updated_during_run": false
+}
@@ -0,0 +1,9 @@
+{
+  "accepted_arriving_edges": 5492078,
+  "all_finite": true,
+  "arriving_edges": 5995773,
+  "finite_observed_ticks": 481,
+  "first_failure_tick": -1,
+  "mode": "light",
+  "scope": "every completed tick; no neuronal or APL tensor mutated by observer"
+}
@@ -0,0 +1,40 @@
+{
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+  "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": {
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+    "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": {
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+      "ag_worker": "21ceec65fe42581dc55872010e0025d660e80358905f1cf4df1dadf341a3b291"
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+  "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
+}
@@ -0,0 +1,12 @@
+{
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+  "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"
+}
@@ -0,0 +1,42 @@
+tick,neuron_idx,attempted,accepted,rejected
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+386,131226,1,0,1
+395,999,1,1,0
+395,2927,1,1,0
+415,522,1,1,0
+442,10769,1,0,1
+456,360,1,0,1
+470,1514,1,0,1
+478,130753,1,0,1
@@ -0,0 +1,96 @@
+{
+  "ast": {
+    "base": {
+      "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",
+      "math_ast_sha256": "e46b7d037862b54c0000381ea50df3ba416c7c2c134e3cea78fa90ddf549f710",
+      "mathematical_ast_identical": true,
+      "mode": "light",
+      "old_globals_patched": false,
+      "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=[]))"
+      ]
+    },
+    "clock_admission_new": "tick + _continuation.global_offset >= 18",
+    "clock_admission_old": "tick >= 18",
+    "derived_module_ast_sha256": "f6a9a518081089a4be9692178688663cfb39f9d44c92c4abb119620149f54007",
+    "diagnostic_namespace_binding": "audit_sequence checks parent_pending + generated, not an assumed zero-initial queue",
+    "full_AST_rollback_identical": true,
+    "kernels_sorting_and_local_ring_math_unchanged": true,
+    "restore_hook": "_continuation.restore(v, g, ref, counts, ring, apl_ring, apl, upload)"
+  },
+  "complete": true,
+  "finite_audit_sha256": "bc6bed2daa41d4da6889855500104c569bb2719d61235bc29016cce9e2cf66ea",
+  "fresh_runtime_sha256": "522b8c31ea938890fe15364fccd25ccc5bded54101754909f255532e7ad01aae",
+  "global_next_tick": 500,
+  "global_tick_offset": 19,
+  "input_sha256": {
+    "/data/digital-drosophila/experiments/phase4af-author-fullgraph/oracle/no_input/coefficients.json": "bde79d95ef0097b827d5faf4d5658eafc009d8e9fcef1fddd645c953823e3f64",
+    "/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--chain--light-s03/requests.npz": "be049a344735ad19157ea86c6e911ea9042127ace736fe98bcdddf6b3c1425d1",
+    "/data/digital-drosophila/experiments/phase4an-engineering-validation/cases/zero--chain--light-s03/spec.json": "c395303842c48cc82c34db3ab0e1490e3f2b68326e5477ad8996d62b41cb7643",
+    "/data/digital-drosophila/experiments/phase4an-engineering-validation/overlays/zero.json": "11b668978f3070dad26d99d9310bebefa0731fa0d4e361e8dc0ef02a213277c2",
+    "/data/digital-drosophila/experiments/phase4an-engineering-validation/runs/zero--chain--light-s02/checkpoint-manifest.json": "61b16179c796301e05f4c6f6989d0d31e0e8da0d7d38f086aecacc9b61d5bfcb",
+    "/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/olfactory-conditioning-lab-v1/runtime_light.py": "522b8c31ea938890fe15364fccd25ccc5bded54101754909f255532e7ad01aae",
+    "/data/digital-drosophila/models/male-cns-lif/wholebrain-plastic-interface-v1/overlay.py": "7f891d0ba79b393c96e75fd2dee2eddc51e57d8213eaac2779703bc2c18712b4"
+  },
+  "learning_pass_claimed": false,
+  "mode": "light",
+  "old_globals_patched": false,
+  "overlay_audit_sha256": "bb8ddbcdb4f17c36a7352f0aa863f68e0ba92c3c8507bd99b85df224035d9379",
+  "parent_checkpoint_manifest_sha256": "61b16179c796301e05f4c6f6989d0d31e0e8da0d7d38f086aecacc9b61d5bfcb",
+  "schema": "phase4an-continuation-runtime-v1",
+  "source_file": "/data/digital-drosophila/models/male-cns-lif/olfactory-conditioning-lab-v1/runtime_continuation.py",
+  "source_sha256": "0b8e8e0a6a23a079dc62a88355ce355d53b3ae22f6665519a8f6aef2dcfc5aba",
+  "state_sha256": "39fed967ede12bd1f085c60aabe527bd5138b5af8f20063d80374e15e689e92e",
+  "summary_sha256": "1d753fe8c8ef4a3f1860beb329d38481a2d513fc01b1a23e5459eed930436f48",
+  "terminal_queues_sha256": "5140f54c237a9574f1ec163220dc8a8047fcf87ff1914a5a8bb27dcff2d35171",
+  "weights_updated_during_run": false
+}
@@ -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"
+  ]
+}
@@ -0,0 +1,199 @@
+{
+  "accepted_arriving_edges": 5492078,
+  "accepted_requests": 29,
+  "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": 463,
+    "applied_initial_zero_rows": 0,
+    "applied_parent_generated_rows": 18,
+    "applied_parent_pending_rows": 18,
+    "applied_trace": null,
+    "biological_delay_measurement_claimed": false,
+    "brain_tail_advanced": false,
+    "brain_tail_advanced_scope": "no extra brain ticks beyond this explicit segment",
+    "closed_loop_branch_integrals_claimed_equal": false,
+    "final_apl_state_float32": [
+      155.18516540527344,
+      161.61099243164062
+    ],
+    "final_apl_state_nonzero": true,
+    "final_apl_state_u32_bits": [
+      1125855079,
+      1126276202
+    ],
+    "finite_generated_sequence_only": true,
+    "full_sequence_bitwise_audit_performed": false,
+    "future_apl_decay_or_feedback_generated": false,
+    "generated_rows": 481,
+    "generated_trace": null,
+    "global_next_tick": 500,
+    "global_tick_offset": 19,
+    "initial_queue_from_parent": true,
+    "initial_queue_raw_sha256": "7a98eb11e689b113a279bb100e2d9aa2a971f71854486a250ed23102b9d56e51",
+    "pending_application_tick_start": 500,
+    "pending_application_tick_stop_exclusive": 518,
+    "pending_generated_count": 18,
+    "pending_generated_tick_start": 482,
+    "pending_generated_tick_stop_exclusive": 500,
+    "pending_initial_zero_prefix": 0,
+    "pending_parent_generated_rows": 0,
+    "pending_queue_drained": false,
+    "pending_raw_sha256": "a923a3b895a6c3bb8b24126d61d93a93be4925458fbaa701816f3a274c3e4ea0",
+    "pending_segment_generated_rows": 18,
+    "pending_shape": [
+      18,
+      4064
+    ],
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