Drew T
02592300df
feat(triage): the residual-classifier head-to-head — both implementations, kept
...
residual_rules.py (mine) and residual_rules_b.py (an independent Fable build,
forbidden from reading mine). Committed because the EXPERIMENT is the artifact:
mine b
classified 85/113 113/113
errored 28 0
any rule fired 18% 88%
certain/high 1% 63%
pure residual-SHAPE ~1% 1.8%
The last row is the finding. Two independent implementations CONVERGED at ~1-2% on
pure cookbook-shape rules, so that tier's ceiling is the POPULATION, not the code:
surgical single-mechanism residuals live at the END of escalations, not in
first-pass wave output. The shape tier belongs in escalation loops; the ladder's
value is everything above it (banked / wall / compile / autodecl / integration).
b also diagnosed my 28 errors exactly: they are functions banked DURING S68 after
the eval set was drawn, so corpus.stubs() no longer contains them and my resolver
raised IndexError on every one. It detects the same condition via corpus.matched()
and calls it ALREADY-BANKED — stale card, spend zero tokens.
Two things b did better that are worth copying: it never parsed disassembly TEXT
(every decision decodes the raw 32-bit word, so the two-disassembler formatting
disagreement that cost me two bugs never touched it), and it REMOVED three of its
own false-positive mechanisms found on held-out cases, all score-reducing, and
disclosed them.
Spec for finishing the ladder: docs/next-session-triage-ladder.md
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