Audit conditional PN recruitment and graded APL source timing

This commit is contained in:
Digital Drosophila Archive
2026-09-30 10:45:48 +08:00
parent 9437bbff79
commit b2cd81c7b9
283 changed files with 159989 additions and 9 deletions
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# Phase 4AI — conditional PN recruitment and APL source audit
Status: `PASS-CONDITIONAL-PN-APL-SOURCE-AUDIT`.
80 existing records; PN events/counts/final states exact; eight fixture histories exact; twelve repeats exact. No new brain experiment, tuning, training, GPU, or learning candidate.
See audit/final-status.json and audit/PN-odor-structure.json. Accepted edges are timed antecedents, not unique causes. Graded-APL cumulative source shares are descriptive, not causal or error-bounded majority claims. Prior CAL failure remains unchanged. Frozen integrity passed; five reference simulations were not rerun.
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{
"pass_all": true,
"trials": [
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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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{
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}
],
"meaning": "Conditional PN exactness and bounded APL attribution only; not a learning or causal gate"
}
@@ -0,0 +1,640 @@
{
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"Shared PN activity does not imply absent odor information; no learning gate applied",
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]
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}
@@ -0,0 +1,42 @@
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{
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}

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