#1 ingest: normalize the pinned caller id (_norm_cited_id) so a non-bare DOI caller cannot store a URL-form papers.id that defeats DQ-5 idempotency / the startswith(10.) recovery gates. #2 quality.section_label: collapse to a controlled bucket only for an EXACT canonical heading; descriptive titles ('Abstract Nonsense...') keep their real title instead of being mislabelled. #4 ra_grobid_backfill: release the read connection before the slow GROBID network loop, fresh connection for the write (no idle-in-transaction across the loop over the flaky tunnel).
#5/#10 tex: flatten_inputs strips unresolved input/include at the depth cap (no literal leak on cycles); _norm_texkey strips only a single leading ./ . #6/#7 arxiv.fetch_source: keep non-.tex members resolvable for input; pick primary on an UN-commented documentclass line. #13 is_arxiv_id: also exclude http:// and arXiv-DOI forms. Tests added/updated for each.
Left as deliberate decisions: #3 (pre-section text drop is pre-existing in extract_sections; abstract stored separately), #8 (script normalizer is intentionally self-contained, already documented), #9/#11/#12 (no current trigger / tightening the gzip heuristic would reject valid old LaTeX like documentstyle / title truncation is by design on a write-only column). ruff + mypy clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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>
