The catalog generator fills `fix_date` from the recipe at the precision the
recipe has -- a full ISO day when one was recorded, otherwise the year.
Every harvested recipe carries a year and almost none carries a day, and
writing `-01-01` would turn a year into a claim about a month. A row counts
as post-cutoff only when its earliest possible date is after the cutoff, so
a coarse date can under-claim the clean slice but never over-claim it.
Each family now reports the same numbers over the rows fixed after the
cutoff, beside the whole number and never instead of it, with the undated
count on its own line. Without a configured cutoff every scoreboard says so
rather than inventing one: guessing a model's training cutoff and then
publishing a contamination number from the guess would be worse than
reporting none.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Tasks 1.2, 2.1-2.5 and 6.2 (pair-side filters).
- pairs.py: coverage with a source counts as detection and as leak;
function-scoped matching by line-range containment from the vulnerable
side's parse (unresolvable labels are counted loss, never silent
misses); exact or alias sink matching; weak CWE-only labels never match;
side-by-side inventory/overlay/hunter scorers; per_profile,
per_mechanism, achievable, known_limit and loss payload; loader rejects
unknown mechanism/provenance/split and reserved or missing function
labels on harvested slices; candidate rulesets thread through for the
improve loop.
- overlay.py: OverlayRecord.function (additive) filled from the shared
naming helper in one parse; benchmark.py: ExpectedFinding.mechanism.
- cli pairs: --slice over every slice, --profile, --split, --hunter,
--hunter-model.
- catalogs migrated to the new schema (provenance, split, function,
mechanism, known_limit for owasp-java-hash); baseline recorded in the
spec notes.
Co-Authored-By: Claude Fable 5.1 <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
Harvest 176 isolated vuln-vs-fix functions (109 CVEs, 352 training rows)
into benchmarks/pairs/vfc with provenance and a JSONL training manifest.
Score the slice as an honesty dashboard (ousast pairs --slice vfc);
keep the pair gate on the local fixtures only.
