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ely-eye/bench/reports/baseline_external.json
T
ZacharyZhang-NY 6de7439db6 Score the product path against corpus ids, not storage ids 
The frozen baseline claimed the product's top-10 shared 0.0% with the fast
BM25 path. That was a harness bug: gold names a corpus source
(mmlongbench:PH_2016.06.08_Economy-Final.pdf) while the store names a content
hash (PH_2016_06_08_Economy_Final_10e57152f44d1a2b), so the two id spaces never
met and the right document, ranked first, scored as a miss.

- bench/systems.py: `_corpus_ids` joins store sources through the
  `source_map()` the counterpart already uses, and refuses a store whose
  sources are not corpus files instead of silently scoring zero.
- bench/systems.py: `live_product_rankings(..., as_holders=...)` asks the
  product as the query's own holder, which is how the counterpart is scored.
- bench/run.py: the live section now reports recall@10 / MRR / hit@10 with a
  95% lower bound, and probes 300 queries instead of 40 — the SQL path answers
  in well under a second, so the old cap was a cost estimate that expired.
- bench/run.py: `--name CURRENT` writes a post-P0 report beside the frozen
  BASELINE without touching it, stamped with the commit and the store schema
  version the pass started on (the live pass migrates the store mid-run, so a
  plain stamp would be a lie).
- bench/stamp_holders.py: the pre-P0 store holds 165,973 memories nobody owns.
  The corpus index states the owner, so holders, scenarios and event times are
  stamped in place — 165,973 atoms across 50,278 sources, 0 left unowned.

Numbers, same machine, load 1.0-1.7:
- CURRENT (post-P0, schema v5): no_rerank recall@10 0.565 p50 0.643s;
  fusion+rerank 0.453 p50 7.000s; graph 0.001.
- Product as its holder: recall@10 0.870, MRR 0.740, n=173.
- Counterpart: mem0_flat holder scope 0.866, whole corpus 0.412; the holder
  boundary is worth +0.454 with an identical ranker and identical items.

Verification: pytest backend/tests bench/tests -q -> 173 passed; ruff and mypy
(fresh cache) clean on every touched file.
2026-10-07 19:32:32 -04:00

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{
"chance": {
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"note": "expected recall@10 of a random ranking inside the candidate set each row is allowed to see",
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},
"meta": {
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"extraction": "lexical (see bench/counterpart.py); LLM extraction deferred with the generator",
"generated_at": "2026-10-07T19:16:08+00:00",
"git_commit": "3d792417cfd0554cbe2bae0cfc098bb5bb07e28c",
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]
}
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