test(cv-import): add frozen corpus and bounded accuracy qualification
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@@ -38,6 +38,8 @@ The Linux child caches trusted platform metadata before installing its subproces
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## Current focused evidence
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Final current-source partitions: `python-offline-final.log` 76 application/security/grounding/adapter tests PASS in the immutable legacy runtime, network disabled/read-only; `python-docling-final.log` 14 real Docling parser tests PASS in the dedicated slim runtime. These partitions are disjoint; focused adapter/parser reruns overlap them and are not added. Both retain one pytest cache-option warning. The real import browser lane uses development image `jobtracker-cv-import-sidecar:dev-04`, rebuilt from current source after inert hyperlink/schema fixes, with model loading disabled. Actual model inference remains BLOCKED.
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- `.artifacts/cv-import/sidecar-focused-02.log`: 23 passed, including real native PDF/DOCX conversion and synthetic model-adapter tests; no generative inference.
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- `.artifacts/cv-import/python-offline-01.log`: 73 passed in immutable existing Python runtime `sha256:2fe77e47a6c5ecea66764dbd6264049724f24849141e16af5491c2de34af53c1`, network disabled/read-only source/model loading disabled. This covers app/parser-security/grounding/adapter behavior, not new Docling dependency compatibility in that legacy image. One pytest cache-option warning retained.
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- `.artifacts/cv-import/extraction-benchmark-01`: 26 text-bearing generated documents converted; the separate synthetic scan was rejected. Actual source hashes, per-process wall/CPU/peak-working-set/input/output measurements are recorded. Later benchmark attempts supersede generator defects explicitly; no historical result is overwritten.
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