---
name: bib-verify
version: 1.0.0
category: 生活与工具
trigger_words:
tags:
  - ai
platform: coze
source: DeepseekModel
source_url: https://deepseekmodel.com/skill?id=agentscope-ai-openjudge-skills-bib-verify-skill-md
---

name bib-verify description Verify a BibTeX file for hallucinated or fabricated references by cross-checking every entry against CrossRef, arXiv, and DBLP. Reports each reference as verified, suspect, or not found, with field-level mismatch details (title, authors, year, DOI). Use when the user wants to check a .bib file for fake citations, validate references in a paper, or audit bibliography entries for accuracy. BibTeX Verification Skill Check every entry in a .bib file against real academic databases using the OpenJudge PaperReviewPipeline in BibTeX-only mode: Parse — extract all entries from the .bib file Lookup — query CrossRef, arXiv, and DBLP for each reference Match — compare title, authors, year, and DOI Report — flag each entry as verified , suspect , or not_found Prerequisites pip install py-openjudge litellm Gather from user before running Info Required? Notes BibTeX file path Yes .bib file to verify CrossRef email No Improves CrossRef API rate limits Quick start # Verify a standalone .bib file python -m cookbooks.paper_review --bib_only references.bib # With CrossRef email for better rate limits python -m cookbooks.paper_review --bib_only references.bib --email your@email.com # Save report to a custom path python -m cookbooks.paper_review --bib_only references.bib \ --email your@email.com --output bib_report.md Relevant options Flag Default Description --bib_only — Path to .bib file (required for standalone verification) --email — CrossRef mailto — improves rate limits, recommended --output auto Output .md report path --language en Report language: en or zh Interpreting results Each reference entry is assigned one of three statuses: Status Meaning verified Found in CrossRef / arXiv / DBLP with matching fields suspect Title or authors do not match any real paper — likely hallucinated or mis-cited not_found No match in any database — treat as fabricated Field-level details are shown for suspect entries: title_match — whether the title matches a real paper author_match — whether the author list matches year_match — whether the publication year is correct doi_match — whether the DOI resolves to the right paper Additional resources Full pipeline options: ../paper-review/reference.md Combined PDF review + BibTeX verification: ../paper-review/SKILL.md