bib-verify
Verify every BibTeX entry against IACR ePrint, Crossref/DataCite and DBLP and flag fabricated, garbled or placeholder references.
Skill by Noi1r
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/noi1r-bib-verify
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About
Use cases: agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/bib-verify
What's inside
- Skill name
bib-verify- Description
- Verify every BibTeX entry against IACR ePrint, Crossref/DataCite and DBLP and flag fabricated, garbled or placeholder references. Use before any draft leaves the machine, after any agent adds citations, and before submission or camera-ready.
- License
- MIT
- Instructions
- 42 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- verify_bib.py · scripts/
SKILL.md (first lines)
# bib-verify
A fabricated reference is a research-integrity failure, not a typo. Typical LLM-era failure modes seen in
practice: invented co-author lists on a real paper; a placeholder like `{Chen and others}` + a journal name
propping up a row of a comparison table and a "nobody has done X" claim; a key that points at a *different*
paper by the same group; an ePrint number written from memory that belongs to another paper. When this repo's
own reading lists were drafted from memory, the verifier caught three such errors out of ~110 entries.
## Procedure
1. Run the checker (network needed; polite 1 req/s):
```bash
python3 .paper-writing/skills/bib-verify/scripts/verify_bib.py paper/refs.bib --json paper/bib-verify.json > paper/bib-verify-report.md
```
Resolution order: ePrint id (from `eprint=`, `url=`, `howpublished=`...) → OAI record; `doi=` → Crossref,
then DataCite (Zenodo/LIPIcs/arXiv DOIs); otherwise a title search (DBLP if it answers, else Crossref).
2. Triage every non-`VERIFIED` row by hand:
| status | meaning | action |
|---|---|---|
| `MISMATCH` | the id/DOI resolves to a *different* title or author set | fix the id or the metadata; if the cited claim was about the other paper, re-read and re-check the sentence that cites it |
| `NOT_FOUND` | nothing plausible exists | treat as fabricated: delete, or find the real source and re-cite; re-check every sentence that relied on it |
| `WEAK` | similar title only | open the landing page, compare authors/year/venue manually |
| `UNCHECKED` | offline / service error | re-run later; never ship with UNCHECKED rows |
3. Lint flags (placeholder authors, `and others` only, missing year, `% UNVERIFIED` marker, duplicate titles) must
be cleared too.
4. For every *changed* entry, grep the paper for its key and re-read the citing sentence: a wrong reference often
props up a wrong claim (a comparison row, a novelty statement, a parameter).
5. Record the run in `LITERATURE.md` (date, counts) and keep `bib-verify-report.md` next to `paper/refs.bib`; confirm that the report is newer than the bib and clean.
## Rules
- Prefer the published version (DOI) for the final paper; keep the ePrint id in `eprint=` so it can be re-checked.
- Never "fill in" missing authors from memory. Copy from the ePrint/DOI landing page.
- Anything added without checking gets a `% UNVERIFIED` line directly above the entry until verified.
- Venue strings are not machine-verified; check them on the DOI landing page.
- Offline: `--offline` still runs the static lint; the gate stays closed until an online run passes.
## Files
- `scripts/verify_bib.py` — dependency-free checker (`--selftest`, `--selftest-online`, `--only k1,k2`, `--offline`).From Noi1r/crypto-paper-writing, MIT.
More from Noi1r/crypto-paper-writing
- 0.609score
camera-ready
Noi1r
Use after acceptance to produce the final version.
SkillAFreshness: A★ 3Claude Code +9 - 0.609score
lit-matrix
Noi1r
Build and lint the related-work matrix (work, venue/year, setting, technique, asymptotics, concrete numbers + source, code available?, our delta) and the…
SkillAFreshness: A★ 3Claude Code +9 - 0.606score
cpw-write
Noi1r
Plan, draft, revise, polish, or translate cryptography and security manuscripts, from a single passage to a full-paper outline.
SkillAFreshness: A★ 3Claude Code +9 - 0.606score
eprint-search
Noi1r
Search IACR ePrint (with a submission-date window) plus Crossref/DBLP from the command line.
SkillAFreshness: A★ 3Claude Code +9 - 0.605score
anonymize-check
Noi1r
Use before every double-blind submission, supplementary upload, anonymous artifact mirror or rebuttal attachment.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
mock-review
Noi1r
Use before submission (about 3 days and again 1 day before) or before a rebuttal to simulate venue-calibrated reviews.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
artifact-pack
Noi1r
Use when preparing supplementary code/data for review (anonymous) or for an artifact-evaluation track after acceptance.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
figure-harvest
Noi1r
Harvest figures from a local corpus of public crypto papers (PDF), classify them by type, score their quality, and browse them in a local HTML contact sheet…
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
paper-figures
Noi1r
Produce publication-quality figures for a cryptography paper in the house style (LNCS/ACM/IEEE sizes, Computer Modern or Times fonts, vector PDF…
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
rebuttal
Noi1r
Use when reviews arrive and an author response (rebuttal / interactive phase / revision response) must be produced.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
venue-calibration
Noi1r
Use when choosing a target venue, adapting a draft to a venue's format, or calibrating a mock review.
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
reading-notes
Noi1r
Write structured, dated, falsifiable reading notes for a paper (claims, parameters, numbers with page pointers, hidden assumptions, reusable tricks, open…
SkillAFreshness: A★ 3Claude Code +9
Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 29, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Noi1r/crypto-paper-writing
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Noi1r
- 0.609score
camera-ready
Noi1r
Use after acceptance to produce the final version.
SkillAFreshness: A★ 3Claude Code +9 - 0.609score
lit-matrix
Noi1r
Build and lint the related-work matrix (work, venue/year, setting, technique, asymptotics, concrete numbers + source, code available?, our delta) and the…
SkillAFreshness: A★ 3Claude Code +9 - 0.606score
cpw-write
Noi1r
Plan, draft, revise, polish, or translate cryptography and security manuscripts, from a single passage to a full-paper outline.
SkillAFreshness: A★ 3Claude Code +9 - 0.606score
eprint-search
Noi1r
Search IACR ePrint (with a submission-date window) plus Crossref/DBLP from the command line.
SkillAFreshness: A★ 3Claude Code +9 - 0.605score
anonymize-check
Noi1r
Use before every double-blind submission, supplementary upload, anonymous artifact mirror or rebuttal attachment.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
artifact-pack
Noi1r
Use when preparing supplementary code/data for review (anonymous) or for an artifact-evaluation track after acceptance.
SkillAFreshness: A★ 3Claude Code +9
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
bib-verify skill. Agent Mart. https://agentmart.dev/skills/noi1r-bib-verify (last updated 2026-10-24)