Write up the margin gate results
Third section: why the absolute gate could not separate the two distributions, the delta sweep, and the before/after. Marks next-steps item 3 done. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
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@@ -143,14 +143,97 @@ the vector memory table was written by the old model, so after this deploy they
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against a new query. A live database needs every note and fact re-embedded before recall works at
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all. Filed as its own task.
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## Margin gate — 31-07-2026, third run
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Next-steps item 3, done. The absolute gate is replaced by a **margin gate**: answer only when the
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top hit beats the runner-up by more than delta (`top1 − top2 > δ`). Same fixture, same e5 embedder,
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same store as the run above. `internal/memory/gate.go` holds the check; both read paths call it
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(`cmd/mavend/recall.go` and the notes-RAG branch in `voice.go`). New knob `voice.query_min_margin`
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in `deploy/mavend.json`, default 0.008.
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### Why the absolute gate could not work, in one line of data
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The harness now prints the margin distributions, and they barely overlap where the raw scores
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overlap completely:
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| | top-1 score | margin (top1 − top2) |
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|---|---|---|
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| right note first (n=18) | min 0.810, median 0.862, max 0.890 | min 0.001, median 0.029, max 0.053 |
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| must stay silent (n=5) | min 0.795, median 0.815, max 0.835 | min 0.000, median 0.002, **max 0.019** |
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Four of the five must-be-silent cases have a margin at or under 0.002 — when there is nothing to
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recall, e5 finds several notes equally close and no clear winner. That is the signal the absolute
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score throws away.
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### The delta sweep
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Absolute gate held at 0.55 throughout.
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```
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delta 0.000: answered 18/25 (72%) false recall 5/5
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delta 0.002: answered 17/25 (68%) false recall 3/5
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delta 0.005: answered 17/25 (68%) false recall 2/5
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delta 0.008: answered 17/25 (68%) false recall 1/5 <- chosen
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delta 0.010: answered 15/25 (60%) false recall 1/5
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delta 0.012: answered 14/25 (56%) false recall 1/5
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delta 0.015: answered 12/25 (48%) false recall 1/5
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delta 0.020: answered 11/25 (44%) false recall 0/5
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delta 0.025: answered 9/25 (36%) false recall 0/5
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delta 0.030: answered 8/25 (32%) false recall 0/5
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delta 0.040: answered 4/25 (16%) false recall 0/5
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delta 0.050: answered 2/25 ( 8%) false recall 0/5
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delta 0.060: answered 0/25 ( 0%) false recall 0/5
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```
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### Chosen: δ = 0.008
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It is the best point on the frontier, not a taste call. **0.008 dominates 0.010, 0.012 and 0.015
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outright** — same 1/5 false recall, 8 to 20 points more real recall. Everything below it buys recall
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back only by admitting more false recalls (0.005 → 2/5, 0.002 → 3/5). The next real improvement is
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0.020 at 0/5 false, and it costs 24 points of recall to get there.
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The brief's bar was "recall above 60% with false recall at 1/5 or better". 0.008 clears it with room:
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68% and 1/5.
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### Before / after
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| | absolute gate 0.55 (previous) | margin gate δ=0.008 |
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|---|---|---|
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| recall@1 (ranking, ungated) | 72.0% (18/25) | 72.0% (18/25) — unchanged, the gate does not rank |
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| **answered after the gate** | 72.0% (18/25) | **68.0% (17/25)** |
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| **false recall** | **5/5 (100%)** | **1/5 (20%)** |
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| fixture cases passed | 18/30 | **21/30** |
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Four false recalls removed for one real answer. That is the trade the spec asks for — she is not a
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guesser-of-truth. The one survivor is `en-pref-025` ("should i be offered wine"), which recalls a
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filler note at 0.796 with a 0.019 margin: the widest silent-case margin in the fixture, and it sits
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inside the real-recall range, so no delta removes it without taking real answers with it.
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### Does the absolute cutoff still earn its keep? Marginally — kept
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On this fixture with e5 it is a **no-op**: the lowest right-note score is 0.791, so 0.55 rejects
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nothing the margin does not already reject. It is kept for two reasons, neither glamorous. It still
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does real work for the hash embedder (its own sweep shows answers dropping from 16% to 0% between
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0.30 and 0.50), and it is the only thing standing between the user and a reply built from a store
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where everything is far away but one row happens to be a little less far — a near-empty database, or
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the stale-vector case below. Cheap insurance, no measured cost. If a later embedder makes it bite,
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the sweep is one command.
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### Caveat on the numbers
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Five must-be-silent cases is a thin basis for a 4-point decision. 1/5 and 2/5 differ by one case.
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The shape of the frontier is trustworthy — margins separate, absolute scores do not — but δ=0.008
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itself should be re-read off a bigger fixture (next-steps item 6) before anyone defends the third
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decimal.
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## Next steps — ordered by value-to-risk; nothing here is a decision
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1. **Swap the embedder to `multilingual-e5-small` with `query:`/`passage:` prefixes.** One config
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change plus a prefix in `onnxembedder.go`, re-measurable in one command.
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2. **Re-run `make eval-recall`, then set the gate from the sweep** — not before. Any
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`query_min_score` picked against today's embedder describes a model on its way out.
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3. **Replace the absolute-score gate with a margin gate** (`top1 − top2 > δ`) — as the routing eval
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concluded, absolute cosine cannot see a flat distribution.
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3. ~~**Replace the absolute-score gate with a margin gate**~~ — done, see the section above.
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δ=0.008, false recall 5/5 → 1/5.
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4. **Delete or repair the dead `memStore` branch** at `voice.go:776` — search before the gate,
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gate it separately, or restrict it to facts and say so.
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5. **Add a mild time decay to ranking** — the newest statement of a preference is the true one.
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