feat(scanner): add native artifact pipeline
Add native IK-style capture processing, Artifact Inventory, explicit promotion and single-result review. Confirm the three live OCR corrections in the eval corpus and preserve extraction/value separation.
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@@ -2,10 +2,10 @@
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Field-level accuracy measurement for the artifact OCR parser. This is the gate
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every OCR, crop, layout, or parser change runs against (see ADR-007).
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It is necessary but not sufficient for the IK target: live scan speed and
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review/miss rates are measured by `npm run scan:iterate:compare:validated` for
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short iteration and `npm run scan:goal:compare:validated` for the final
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100-artifact proof. Use the `:wait` variants directly after UAC startup.
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It is necessary but not sufficient for live scanner proof: scan speed and
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review/miss rates are measured by `npm run scan:iterate:validated` for short
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iteration and `npm run scan:goal:validated` for the final 100-artifact proof.
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Use the `:wait` variants directly after UAC startup.
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## Run it
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@@ -14,18 +14,18 @@ npm run eval # full accuracy report for the seed corpus
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npm run eval:review-candidates # export unconfirmed review samples for human labeling
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npm test # runs the eval gate alongside the rest of the suite
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npm run scan:assessment:test # verifies quality-first scan ranking logic
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npm run scan:iterate:compare:validated:wait # 20-artifact live comparison
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npm run scan:iterate:validated:wait # 20-artifact live scan
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npm run scan:repeatability:wait # 20/45/100 current-engine repeatability
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npm run scan:goal:compare:validated:wait # final 100-artifact live comparison
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npm run scan:goal:validated:wait # final 100-artifact live scan
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```
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The report prints exact-match rate, overall field accuracy, a per-field
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breakdown (critical fields marked with `*`), and every failing case with an
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`expected "..." got "..."` diff.
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Repeatability runs are single-engine evidence. Use them to prove that the
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visible-inventory scanner stays stable across later sessions, but keep
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current-vs-IK claims on `scan:goal:compare:validated:*`.
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Repeatability runs prove whether the visible-inventory scanner stays stable
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across later sessions. They are current-path evidence and should be reported
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with review/miss rates plus timing, not just click count.
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## How it works
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