feat(grobid): R-A reference backfill + native arm64 GROBID on Jetson
Enable roadmap R-A (GROBID reference extraction) end-to-end and run it against local Jetson infra instead of a Mac/Rosetta emulation. Backfill: - Add scripts/ra_grobid_backfill.py: references-only, idempotent citation backfill (dry-run default). Deliberately not ingest_paper(source_path=pdf), which re-OCRs and replaces the DQ-3-clean .txt chunks; this touches only the citations table (ON CONFLICT DO NOTHING). 7 tests. - Make extract_references timeout configurable (large theses exceed the 60s default, especially against a slower GROBID). Jetson infra: - Bump grobid/grobid 0.8.2 -> 0.9.0-crf. The -crf tag is the only GROBID variant published as an arm64 multi-arch manifest; every 0.8.x tag and the full deep-learning image are amd64-only, which is why GROBID never ran on the aarch64 Jetson. Enable the 4g memory cap + init/ulimits per GROBID docs. - Add docs/infra/grobid-jetson.md runbook: arm64 image rationale, the two host prerequisites (docker-group membership + the Compose v2 CLI plugin, both missing on the Jetson), service-scoped deploy, and the GET /api/isalive check. Verified live 2026-06-17: native arm64 pull, isalive=true, end-to-end extract_references on lutz-2024-thesis.pdf = 116 refs (101 with DOI/arXiv). docs(audit): mark R-A core done (citing coverage 27/29 -> 29/29; edges 920 -> 1022). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Tarik Moussa