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Drew T
7b5eda0424
Tested whether decision-log A10 ("stored drafts re-gate at 0/958", measured in T1) survives
S38's tool repairs. Three populations, plain re-gate, no draft edits:
fresh wave-6 drafts (diagnosed "blocked on a class") 4/6
stored pool, unbiased sample (every 96th of 1,155) 1/12 <- hit was in a REVERTED overlay
the two REVERTED overlays, targeted 3/17
A10 BROADLY STANDS. ~8% on the general stored pool is not a harvest, and a 1,155-wide sweep
(= 1,155 whole-binary builds) is not justified by it. Do NOT generalise the fresh-draft rate
(4/6) onto the stored pool -- different populations. The honest rule is narrower and cheaper:
after a tool repair, re-gate the drafts THAT DEFECT plausibly touched, targeted by its
blast radius -- not the whole ledger. (R35 applied to the backlog, not just to metrics.)
BANKED (+146 ins): ov_SC06_030 func_80161208 + func_80162CCC; ov_SC07_010 func_801506A4 +
func_8016F0AC. R22 clean-fleet 140 passed, 0 failed of 140 -- which also proves byte-neutral a
fleet-shared engine_core.h edit the bank required (extern s32 func_801506A4(s32,s32) -> the
no-prototype form), reaching all 138 overlays (T2 blast radius).
Fleet 12410129 -> 12410275 instr; distinct +95 / +1 uniq; fn-count +4. audit-digest OK.
Also documents the LEDGER MECHANICS in calibration.md (Drew asked): .run/backlog.jsonl is
append-only and nothing is deleted on bank -- open-ness is DERIVED from corpus.stubs at every
read (load_best drops now-banked rows per-binary, P9) and `make report` runs `backlog.py prune`.
Membership is therefore self-maintaining and currently clean: 863 rows, 0 already-banked, 14
duplicate-addr (was 6,867 rows / 98% banked before Phase-29 compaction). What pruning does NOT
re-validate is the VERDICT on surviving rows -- closeness + residual class are as old as the
tooling that wrote them (Phase 28 found a corrupt one: func_80178004 close=0 -> 91). That is
the staleness that matters, and it is exactly what this probe measured.