306ea9b3e8
Eight images for sku_l04, sku_l07 and sku_l09 from six source domains, scored through the shipped LocalLaneAdapter and DecisionPolicy against stock-lopia-clean: 4 correct accepts, 4 abstains, no false accepts. Leak-tested first: the highest template match of any image against add/image6.jpg is 0.675, so none is a crop of the evaluation photo. The result that matters is sku_l07. It has no enrolled image, and both its images accept through the text lane alone - one reads ラッキー フヨネーズ, the other the rear label's 製造者：丸和油脂株式会社 with 内容量：200g, which together name the row 丸和油脂 ラッキーマヨネーズ 200g. The text lane's coverage claim holds on data that was not used to build it. The four l04 abstentions are correct behaviour: l04 is also unenrolled and its reads are weak (one reads only コと旨 タ 味, another scores 0.379 against a 0.45 accept line). Also records the l12 reconciliation, the Kewpie 450 g research, and two reusable pan clips with 11 rejected candidates for a future Tier-3 replay. Nothing here is Tier 2 or Tier 3 and every manifest says so.
2.6 KiB
External evidence (2026-09-29)
Independent-source media used to stress the identity pipeline. None of this is
Tier 2. DECISION.md's Tier 2 is a second labelled store visit; these are
external_proxy artifacts, and every manifest here says so.
| Directory | What it holds |
|---|---|
other-mayo/ |
8 accepted images for sku_l04, sku_l07, sku_l09 from 6 source domains, plus the scored result |
l12-reconciliation/ |
What sku_l12 actually is, from the shelf tag and package pixels |
kewpie/ |
Kewpie 450 g research (the near-unknown case) |
tier3-sources/ |
Two reusable pan clips and 11 rejected candidates for a future Tier-3 replay |
Leak test
Every accepted image was template-matched against add/image6.jpg. Highest
score across all 8 is 0.675 (sku_l07_1), and the 0.95+ band that identifies a
crop of the evaluation photo is empty. The images are genuinely external.
Result: 8 images, 0 false accepts
Scored through the shipped LocalLaneAdapter + DecisionPolicy against
stock-lopia-clean (other-mayo/eval_result.json):
| Verdict | Count | Files |
|---|---|---|
| Correct accept | 4 | sku_l07_1, sku_l07_2, sku_l09_1, sku_l09_2 |
| Abstain | 4 | all sku_l04_* |
| False accept | 0 | — |
Two things this establishes that the image6 shelf cannot:
sku_l07is answered with no enrolled image. Both l07 images accept through the text lane alone:sku_l07_1reads ラッキー フヨネーズ, andsku_l07_2reads the rear label's 製造者：丸和油脂株式会社 with 内容量：200g. The catalog row is 丸和油脂 ラッキーマヨネーズ 200g, so the manufacturer and the size together name it. This is the text lane's coverage claim - that a product with no reference image can still be named - holding on data that was not used to build it.- The l04 abstentions are correct behaviour, not a miss. l04 has no
enrolled image either, and its reads are weak:
sku_l04_2reads only コと旨 タ 味 (all rows score 0.0), andsku_l04_4reads the rear label with やまや garbled to まや, scoring 0.379 - below the accept line. Abstaining on a weak read is the designed outcome.
sku_l07_2 accepts with a negative local score (-0.55) on text evidence alone.
That is the lane doing its job, but it is worth naming: the accept rests on two
matched tokens (manufacturer + size), not on geometry.
What is still missing
No external source gives per-SKU identity for the whole catalog, and no reusable clip combines the target category with shelf-distance text resolution. The Tier-2 and Tier-3 gates in DECISION.md still need the operator's own recorded walks.