Data-quality roadmap: R-A–R-F + DQ-5 fixes (citations 590→1075, section signal 10%→95%) #16

Merged
user2595 merged 31 commits from integration/roadmap into main 2026-06-27 07:12:31 +00:00
8 changed files with 512 additions and 12 deletions
Showing only changes of commit 1516684bbb - Show all commits

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@@ -26,6 +26,7 @@ def _text(element: ET.Element | None) -> str:
def extract_references( def extract_references(
pdf_path: str, pdf_path: str,
grobid_url: str | None = None, grobid_url: str | None = None,
timeout: float = 60.0,
) -> list[dict[str, str]]: ) -> list[dict[str, str]]:
"""Extract a structured reference list from a PDF via GROBID. """Extract a structured reference list from a PDF via GROBID.
@@ -35,6 +36,9 @@ def extract_references(
Path to the PDF file on disk. Path to the PDF file on disk.
grobid_url: grobid_url:
Base URL of the GROBID server. Defaults to ``Settings().grobid_url``. Base URL of the GROBID server. Defaults to ``Settings().grobid_url``.
timeout:
HTTP client timeout in seconds. Large PDFs (e.g. theses) can exceed the
60s default, especially against a slower/emulated GROBID; raise it then.
Returns Returns
------- -------
@@ -46,7 +50,7 @@ def extract_references(
if grobid_url is None: if grobid_url is None:
grobid_url = Settings().grobid_url grobid_url = Settings().grobid_url
with open(pdf_path, "rb") as fh, httpx.Client(timeout=60.0) as client: with open(pdf_path, "rb") as fh, httpx.Client(timeout=timeout) as client:
response = client.post( response = client.post(
f"{grobid_url}/api/processReferences", f"{grobid_url}/api/processReferences",
files={"input": (pdf_path, fh, "application/pdf")}, files={"input": (pdf_path, fh, "application/pdf")},

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@@ -338,7 +338,33 @@ so the quality lever is *combining more free sources*, not buying paywall access
Paywall/uni-login was explicitly considered and **deferred** (see R-E). Each item Paywall/uni-login was explicitly considered and **deferred** (see R-E). Each item
is self-contained so a cold session can pick it up. is self-contained so a cold session can pick it up.
### R-A — Run GROBID reference extraction on arXiv PDFs · **HIGH lever, LOW-MED effort** ### R-A — Run GROBID reference extraction on PDFs · **CORE DONE 2026-06-17** (full sweep optional)
**Resolution (what was done) — citing coverage 27/29 → 29/29 (100%); edges 920 → 1022:**
- **References-only backfill, not full re-ingest.** Added
[scripts/ra_grobid_backfill.py](../../scripts/ra_grobid_backfill.py): per paper,
run `grobid.extract_references(pdf)`, normalize cited-ids to the canonical bare
form (DOIs de-URL'd + lower-cased; `arXiv:` stripped), INSERT into `citations`
(`ON CONFLICT DO NOTHING`). Deliberately avoids `ingest_paper(source_path=pdf)`,
whose PDF branch re-runs Nougat + `DELETE FROM chunks` and would overwrite the
DQ-3-verified-clean `.txt` chunks (and needs Nougat). Idempotent; dry-run by
default; 7 tests; ruff/mypy clean.
- **GROBID provisioning:** the pinned `grobid/grobid:0.8.2` is amd64-only, but the
Jetson and the dev Mac are both arm64 (this is why GROBID never ran). Ran the
lighter CRF image (`grobid/grobid:0.8.2-crf`) on the Mac under Podman+Rosetta
(PDFs are local; citations written over the SSH DB tunnel). Made
`extract_references` timeout configurable (theses need >60s emulated). A separate
task is provisioning a native arm64 GROBID on the Jetson (`docs/infra/grobid-jetson.md`).
- **Both `depositonce` theses closed:** `…depositonce-20357` (lutz-2024) **+96**
edges (5 in-corpus); `…depositonce-5415` (sechelmann-2016) **+6** edges — its
147 MB/173-page scan blew pdfalto's 120s limit, so the 9 bibliography pages were
extracted with PyMuPDF first (77 refs, only 6 with a DOI/arXiv). **No paper has
zero out-edges now.**
- **Optional remaining (secondary acceptance):** sweep the other 27 already-covered
papers for *extra* GROBID refs via `python scripts/ra_grobid_backfill.py --write`
(the 2 book PDFs need the same bib-page extraction as sechelmann).
**Original plan (for context):**
- **✓ Unblocked (DQ-5 RESOLVED 2026-06-17):** DOI re-ingest is now idempotent, so - **✓ Unblocked (DQ-5 RESOLVED 2026-06-17):** DOI re-ingest is now idempotent, so
the GROBID re-ingest no longer aborts on `papers_openalex_id_key`. the GROBID re-ingest no longer aborts on `papers_openalex_id_key`.
- **What:** the whole corpus was ingested from `.txt` (`PAPERS_DIR=…/papers/txt`), - **What:** the whole corpus was ingested from `.txt` (`PAPERS_DIR=…/papers/txt`),

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docs/infra/grobid-jetson.md Normal file
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@@ -0,0 +1,163 @@
# GROBID on the Jetson (aarch64) — deploy runbook
**Status:** ACTIVE
**Host:** `alfred@192.168.178.103` — NVIDIA Jetson Orin Nano (aarch64, 8 GB RAM, 8 GB swap, 6 cores)
**Service:** GROBID reference extraction for roadmap **R-A** (`scripts/ra_grobid_backfill.py`)
**Last updated:** 2026-06-17
**Verified:** 2026-06-17 — `grobid/grobid:0.9.0-crf` pulled as native `arm64`, `/api/isalive``true`,
end-to-end `extract_references` on `lutz-2024-thesis.pdf` → 116 refs (101 with DOI/arXiv) in ~36s.
---
## Why this image (`grobid/grobid:0.9.0-crf`)
GROBID had never come up on the Jetson because `infra/docker-compose.yml` pinned
`grobid/grobid:0.8.2`, and **every `0.8.x` tag (and the full `0.9.0`) is published
amd64-only**. A Docker tag resolves to a multi-arch *manifest list*; on aarch64
the `0.8.2` list has no `linux/arm64` entry, so there is simply nothing to pull or
run (hence `curl localhost:8070` → connection refused, nothing listening).
The fix is to select a tag whose manifest list actually contains a `linux/arm64`
build:
| Candidate | arm64? | Size | Notes |
|-------------------------------|:------:|--------:|----------------------------------------|
| `grobid/grobid:0.8.2` | ✗ | ~9.5 GB | full DL image, amd64-only (old pin) |
| `grobid/grobid:0.9.0` / `-full`| ✗ | ~10 GB | full DL image, amd64-only |
| **`grobid/grobid:0.9.0-crf`** | **✓** | ~500 MB | **CRF-only, official, multi-arch** ← |
| `lfoppiano/grobid:0.9.0-crf` | ✓ | ~500 MB | same build, community namespace (alt.) |
We use **`grobid/grobid:0.9.0-crf`**:
- **CRF-only** is sufficient for reference extraction (`/api/processReferences`)
and is ~500 MB vs ~10 GB for the deep-learning image.
- **Native arm64** — no qemu emulation (too slow / RAM-heavy on a Jetson).
- **Official namespace**, **pinned version** (not `latest-crf`, which is a moving
target). arm64 builds only exist from `0.9.0-crf` onward — there is no arm64
`0.8.x`, so this is a forced (but compatible) bump from the old `0.8.2` pin. The
TEI that `codex/parsing/grobid.py` parses (`biblStruct`, `persName`,
`idno[@type='DOI']`, …) is unchanged across the bump.
> Caveat from upstream: the arm64 image is documented as "tested only on macOS,
> not linux/arm64". The container is the *same* `linux/arm64` ELF either way, so
> bare-metal Jetson works; the end-to-end check below is what de-risks it.
---
## One-time prerequisites
### 1. Docker permission for `alfred`
The SSH user `alfred` is in the `sudo` group but **not** the `docker` group, so
`docker …` fails with `permission denied … /var/run/docker.sock`. Grant access
once (requires the sudo password):
```bash
ssh alfred@192.168.178.103
sudo usermod -aG docker alfred # add to docker group (persistent)
```
Then **start a fresh login** so the new group takes effect (group membership is
only re-evaluated at login — an existing session/`ssh` won't see it; a *new*
`ssh` connection will):
```bash
exit && ssh alfred@192.168.178.103
docker ps # should now work without sudo
```
(Alternatively run all `docker` commands below under `sudo`, but group membership
is cleaner and lets `ra_grobid_backfill.py` / curl checks be driven over plain SSH.)
### 2. Docker Compose v2 plugin (arm64)
This host has Docker Engine but **not** the Compose v2 CLI plugin (on Linux they
are separate packages; only Docker Desktop bundles Compose). Without it
`docker compose …` fails with `docker: unknown command: docker compose`. Install
the arm64 plugin into the user-local plugin dir (no sudo needed):
```bash
mkdir -p ~/.docker/cli-plugins
curl -sSL https://github.com/docker/compose/releases/latest/download/docker-compose-linux-aarch64 \
-o ~/.docker/cli-plugins/docker-compose
chmod +x ~/.docker/cli-plugins/docker-compose
docker compose version # confirm it resolves
```
---
## Deploy
GROBID is **service-scoped** on purpose: Postgres (`papers-db`) is already running
on this host, so we bring up only the `grobid` service and never `docker compose up`
the whole stack (that would try to start a second `papers-db`).
```bash
# copy this repo's compose file to the Jetson (first time only)
scp infra/docker-compose.yml infra/schema.sql alfred@192.168.178.103:~/codex-infra/
ssh alfred@192.168.178.103
cd ~/codex-infra
docker compose up -d grobid # pulls grobid/grobid:0.9.0-crf (arm64), starts papers-grobid
docker compose logs -f grobid # wait for "Started ... in N seconds" (model load ~2040s)
```
The `deploy.resources.limits.memory: 4g` cap in the compose file is honored by
Compose v2 here (no swarm needed). 3 GB suffices for references; 4 GB leaves
headroom alongside Postgres.
---
## Verify `GET /api/isalive` → `true`
```bash
# on the Jetson
curl -s http://localhost:8070/api/isalive # => true
# from the Mac (LAN) — same value the corpus' GROBID_URL points at
curl -s http://192.168.178.103:8070/api/isalive # => true
```
Anything other than `true` (timeout / connection refused / `false`) means the
container isn't up — check `docker compose logs grobid` and that nothing else
holds port 8070.
---
## End-to-end reference-extraction check + running R-A
With `GROBID_URL=http://192.168.178.103:8070` (already set in `.env.jetson-ingest`):
```bash
# one PDF, references only — should print N>0 parsed references
PYTHONPATH=. python - <<'PY'
from codex.parsing.grobid import extract_references
refs = extract_references("/Users/tarikmoussa/Desktop/ConformalLabpp/papers/lutz-2024-thesis.pdf",
grobid_url="http://192.168.178.103:8070")
print(f"{len(refs)} references; first DOI/arXiv:",
next(((r['doi'], r['arxiv_id']) for r in refs if r['doi'] or r['arxiv_id']), None))
PY
```
Then run the references-only backfill (DB tunnel up — see
`docs/audit/DATA-QUALITY-2026-06-15.md`):
```bash
ssh -N -L 5433:localhost:5432 alfred@192.168.178.103 & # DB tunnel
cp .env.jetson-ingest .env
PYTHONPATH=. python scripts/ra_grobid_backfill.py --zero-edge-only # dry-run first
PYTHONPATH=. python scripts/ra_grobid_backfill.py --write # apply
```
---
## Troubleshooting
- **Container killed mid-request / exit 137** — OOM. The CRF image needs ~3 GB for
references; raise the compose `memory` limit or check Postgres isn't starving the
box (`free -h`, `docker stats papers-grobid`).
- **`isalive` true but `processReferences` 500s** — usually a `pdfalto` failure on a
malformed PDF; confirm with a clean PDF (`lutz-2024-thesis.pdf`) and check
`docker compose logs grobid`.
- **`permission denied … docker.sock`** — the docker-group prerequisite above wasn't
applied, or the SSH session predates it (re-login).

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@@ -28,20 +28,30 @@ services:
restart: unless-stopped restart: unless-stopped
grobid: grobid:
# CRF-only image is sufficient for reference extraction and is lighter than # CRF-only image: sufficient for reference extraction (/api/processReferences)
# the full deeplearning variant. Check https://hub.docker.com/r/grobid/grobid # and ~500MB vs ~10GB for the full deep-learning variant.
# for the latest 0.8.x tag before deploying. #
image: grobid/grobid:0.8.2 # The `-crf` tag is also the ONLY GROBID variant published as a multi-arch
# manifest that includes linux/arm64 — the full image (grobid/grobid:0.9.0)
# and every 0.8.x tag are amd64-only. So this is what lets GROBID run
# *natively* on the aarch64 Jetson (no slow/RAM-heavy qemu emulation). arm64
# builds start at 0.9.0-crf; there is no arm64 0.8.x.
# Deploy + docker-permission fix: docs/infra/grobid-jetson.md
image: grobid/grobid:0.9.0-crf
container_name: papers-grobid container_name: papers-grobid
ports: ports:
- "8070:8070" - "8070:8070"
init: true # reap zombie children (GROBID docs recommend --init)
ulimits:
core: 0 # disable core dumps (GROBID docs: --ulimit core=0)
restart: unless-stopped restart: unless-stopped
# GROBID is RAM-hungry; uncomment to cap usage on constrained hardware # GROBID is RAM-hungry; cap usage on the constrained Jetson (Orin Nano, 8GB
# (e.g. Nvidia Jetson): # RAM shared with Postgres). 3GB suffices for references; 4g leaves headroom.
# deploy: # Honored by `docker compose up` under Compose v2 (no swarm needed).
# resources: deploy:
# limits: resources:
# memory: 4g limits:
memory: 4g
volumes: volumes:
pgdata: pgdata:

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scripts/__init__.py Normal file
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@@ -0,0 +1 @@
"""Operational one-off scripts (importable for tests)."""

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@@ -0,0 +1,220 @@
"""R-A — GROBID reference backfill (references-only, idempotent).
Adds GROBID-parsed citations to the live corpus **without** re-chunking the body,
so the DQ-3-verified-clean ``.txt`` chunks are preserved. Complements the DQ-1
Semantic-Scholar supplement with references the APIs lack (notably the two
TU-Berlin ``depositonce`` theses, which neither OpenAlex nor S2 indexes).
Why references-only instead of ``ingest_paper(source_path=pdf)``
----------------------------------------------------------------
The PDF branch of :func:`codex.ingest.ingest_paper` runs Nougat OCR and then
``DELETE FROM chunks`` + re-INSERT — it would replace the clean ``.txt`` chunks
(DQ-3) with unmeasured PDF-OCR text and additionally requires the Nougat server.
This backfill touches only the ``citations`` table (``ON CONFLICT DO NOTHING``),
so it is safe, idempotent, and needs only a reachable GROBID server.
Prerequisite
------------
A reachable GROBID server. The corpus' ``GROBID_URL`` points at the Jetson
(``http://192.168.178.103:8070``). GROBID now runs natively on that aarch64 host
via the multi-arch CRF-only image (``grobid/grobid:0.9.0-crf``) — see
``docs/infra/grobid-jetson.md`` for the deploy + docker-permission fix and the
``GET /api/isalive`` check. (The old ``grobid/grobid:0.8.2`` pin was amd64-only,
which is why GROBID never came up; pass ``--grobid-url`` to override the default.)
Use the SSH DB tunnel for ``DATABASE_URL`` as documented in
``docs/audit/DATA-QUALITY-2026-06-15.md``.
Usage
-----
# dry run (no writes) over the two zero-edge theses
PYTHONPATH=. python scripts/ra_grobid_backfill.py --zero-edge-only
# write every paper's GROBID-parsed refs to the live DB
PYTHONPATH=. python scripts/ra_grobid_backfill.py --write
Default is **dry-run**; pass ``--write`` to mutate the live DB.
"""
from __future__ import annotations
import argparse
import logging
from pathlib import Path
import psycopg
import psycopg.rows
from codex.config import get_settings
from codex.db import get_conn
from codex.models import Citation
from codex.parsing.grobid import extract_references
logger = logging.getLogger(__name__)
DEFAULT_PDF_DIR = "/Users/tarikmoussa/Desktop/ConformalLabpp/papers"
def _normalize_cited_id(doi: str = "", arxiv_id: str = "") -> str | None:
"""Normalize a GROBID-extracted reference id to the corpus' canonical form.
DOIs → bare, lower-cased (strip ``https://doi.org/`` / ``http://`` / ``doi:``),
matching ``papers.id`` and ``codex.sources.openalex._normalize_doi`` (DQ-5).
arXiv ids → strip a leading ``arXiv:`` prefix, leaving the bare id
(``2305.10988``, ``math/0603097``). DOI takes precedence when both exist.
Kept self-contained rather than reusing ``ingest._norm_cited_id`` because it
additionally strips the ``arXiv:`` prefix (which GROBID can emit but that
helper leaves untouched), and to avoid importing a private cross-module name.
"""
doi = (doi or "").strip()
if doi:
s = doi.lower()
for prefix in ("https://doi.org/", "http://doi.org/", "doi:"):
if s.startswith(prefix):
return s[len(prefix) :]
return s
arx = (arxiv_id or "").strip()
if arx:
return arx[len("arxiv:") :].strip() if arx.lower().startswith("arxiv:") else arx
return None
def build_grobid_citations(
paper_id: str,
pdf_path: str | Path,
grobid_url: str | None = None,
timeout: float = 60.0,
) -> list[Citation]:
"""Extract a paper's references via GROBID and return normalized Citations.
``citing_id`` is the canonical ``paper_id``; ``cited_id`` is normalized.
Self-citations and within-paper duplicates are dropped. Refs with neither a
DOI nor an arXiv id are skipped (they cannot join the graph).
"""
refs = extract_references(str(pdf_path), grobid_url=grobid_url, timeout=timeout)
seen: set[str] = set()
citations: list[Citation] = []
for ref in refs:
cited = _normalize_cited_id(ref.get("doi", ""), ref.get("arxiv_id", ""))
if not cited or cited == paper_id or cited in seen:
continue
seen.add(cited)
citations.append(Citation(citing_id=paper_id, cited_id=cited))
return citations
def _coverage(conn: psycopg.Connection[psycopg.rows.DictRow]) -> tuple[int, int, int]:
"""Return (n_papers, n_papers_with_out_edges, n_citations) from the live DB."""
row = conn.execute(
"""
SELECT (SELECT count(*) FROM papers) AS papers,
(SELECT count(DISTINCT citing_id) FROM citations) AS citing,
(SELECT count(*) FROM citations) AS edges
"""
).fetchone()
assert row is not None
return int(row["papers"]), int(row["citing"]), int(row["edges"])
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--pdf-dir", default=DEFAULT_PDF_DIR, help="directory of source PDFs")
parser.add_argument("--grobid-url", default=None, help="override Settings().grobid_url")
parser.add_argument("--only", default=None, help="restrict to a single paper id")
parser.add_argument(
"--zero-edge-only",
action="store_true",
help="only papers with 0 out-edges (the R-A primary targets)",
)
parser.add_argument("--limit", type=int, default=None, help="cap number of papers")
parser.add_argument(
"--timeout",
type=float,
default=300.0,
help="GROBID HTTP timeout (s); theses can need >60s, esp. emulated",
)
parser.add_argument(
"--write", action="store_true", help="WRITE to the live DB (default: dry-run)"
)
args = parser.parse_args(argv)
logging.basicConfig(level=logging.INFO, format="%(levelname)s %(message)s")
grobid_url = args.grobid_url or get_settings().grobid_url
pdf_dir = Path(args.pdf_dir)
pdfs = {p.stem: p for p in pdf_dir.glob("*.pdf")}
with get_conn() as conn:
rows = conn.execute(
"""
SELECT p.id, p.source_path,
(SELECT count(*) FROM citations ci WHERE ci.citing_id = p.id) AS out_edges
FROM papers p
ORDER BY out_edges, p.id
"""
).fetchall()
targets: list[tuple[str, Path]] = []
for r in rows:
if args.only and r["id"] != args.only:
continue
if args.zero_edge_only and r["out_edges"] != 0:
continue
stem = Path(r["source_path"]).stem if r["source_path"] else None
pdf = pdfs.get(stem) if stem else None
if pdf is None:
logger.warning("no PDF for %s (stem=%s) — skipping", r["id"], stem)
continue
targets.append((r["id"], pdf))
if args.limit is not None:
targets = targets[: args.limit]
logger.info(
"GROBID=%s | papers to process=%d | mode=%s",
grobid_url,
len(targets),
"WRITE" if args.write else "DRY-RUN",
)
all_citations: list[Citation] = []
for paper_id, pdf in targets:
try:
cits = build_grobid_citations(
paper_id, pdf, grobid_url=grobid_url, timeout=args.timeout
)
except Exception as exc:
logger.warning("GROBID extraction failed for %s (%s): %s", paper_id, pdf.name, exc)
continue
logger.info("%-38s %3d refs (%s)", paper_id, len(cits), pdf.name)
all_citations.extend(cits)
logger.info("total candidate citations: %d", len(all_citations))
if not args.write:
logger.info("DRY-RUN — no rows written. Re-run with --write to apply.")
return 0
before = _coverage(conn)
with conn.cursor() as cur:
cur.executemany(
"""
INSERT INTO citations (citing_id, cited_id, context)
VALUES (%s, %s, %s)
ON CONFLICT (citing_id, cited_id) DO NOTHING
""",
[(c.citing_id, c.cited_id, c.context) for c in all_citations],
)
conn.commit()
after = _coverage(conn)
logger.info(
"coverage papers=%d citing %d->%d edges %d->%d (+%d)",
after[0],
before[1],
after[1],
before[2],
after[2],
after[2] - before[2],
)
return 0
if __name__ == "__main__":
raise SystemExit(main())

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@@ -0,0 +1,76 @@
"""Tests for scripts.ra_grobid_backfill — the R-A GROBID references backfill.
Only the pure, offline logic is covered (id normalization + Citation assembly);
``extract_references`` is mocked so no GROBID server or DB is required.
"""
from __future__ import annotations
from unittest.mock import patch
from codex.models import Citation
from scripts.ra_grobid_backfill import _normalize_cited_id, build_grobid_citations
# ---------------------------------------------------------------------------
# _normalize_cited_id
# ---------------------------------------------------------------------------
def test_normalize_doi_url_to_bare_lowercase() -> None:
assert _normalize_cited_id(doi="https://doi.org/10.1007/S00454-019-00132-8") == (
"10.1007/s00454-019-00132-8"
)
def test_normalize_doi_prefixes() -> None:
assert _normalize_cited_id(doi="http://doi.org/10.1/X") == "10.1/x"
assert _normalize_cited_id(doi="doi:10.1/X") == "10.1/x"
assert _normalize_cited_id(doi="10.1/x") == "10.1/x"
def test_normalize_arxiv_prefix_stripped() -> None:
assert _normalize_cited_id(arxiv_id="arXiv:2305.10988") == "2305.10988"
assert _normalize_cited_id(arxiv_id="2305.10988") == "2305.10988"
# Legacy ids keep their slash.
assert _normalize_cited_id(arxiv_id="math/0603097") == "math/0603097"
def test_normalize_doi_takes_precedence_over_arxiv() -> None:
assert _normalize_cited_id(doi="10.5/y", arxiv_id="2305.10988") == "10.5/y"
def test_normalize_empty_returns_none() -> None:
assert _normalize_cited_id() is None
assert _normalize_cited_id(doi=" ", arxiv_id="") is None
# ---------------------------------------------------------------------------
# build_grobid_citations
# ---------------------------------------------------------------------------
def _ref(doi: str = "", arxiv_id: str = "") -> dict[str, str]:
return {"title": "t", "authors": "a", "year": "2020", "doi": doi, "arxiv_id": arxiv_id}
def test_build_citations_normalizes_dedups_and_drops_self() -> None:
paper_id = "10.1007/s00454-019-00132-8"
refs = [
_ref(doi="https://doi.org/10.1/A"), # → 10.1/a
_ref(doi="DOI:10.1/a"), # duplicate of the above after normalization
_ref(arxiv_id="arXiv:2305.10988"), # → 2305.10988
_ref(doi="", arxiv_id=""), # no id → skipped
_ref(doi="https://doi.org/10.1007/S00454-019-00132-8"), # self-cite → dropped
]
with patch("scripts.ra_grobid_backfill.extract_references", return_value=refs) as mock_ex:
cits = build_grobid_citations(paper_id, "some.pdf", grobid_url="http://grobid")
mock_ex.assert_called_once_with("some.pdf", grobid_url="http://grobid", timeout=60.0)
assert all(isinstance(c, Citation) for c in cits)
assert all(c.citing_id == paper_id for c in cits)
assert [c.cited_id for c in cits] == ["10.1/a", "2305.10988"]
def test_build_citations_empty_when_no_refs() -> None:
with patch("scripts.ra_grobid_backfill.extract_references", return_value=[]):
assert build_grobid_citations("10.1/x", "x.pdf") == []