From claude-scholar
Verifies academic citations using canonical sources (DOI, arXiv, CrossRef, Semantic Scholar). Provides principles for detecting fake citations and matching metadata.
How this skill is triggered — by the user, by Claude, or both
Slash command
/claude-scholar:citation-verificationThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A reference guide for citation verification in academic paper writing, providing verification principles and best practices.
A reference guide for citation verification in academic paper writing, providing verification principles and best practices.
Core Principle: Proactively verify every citation during the writing process using programmatic or canonical scholarly sources first: arXiv, DOI/CrossRef, Semantic Scholar, publisher landing pages, and Zotero metadata. Google Scholar is useful for manual discovery, but it is not the canonical verification authority.
Citation issues in academic papers seriously impact research integrity:
These issues can lead to:
Special risk with AI-assisted writing: AI-generated citations have approximately 40% error rate; every citation must be verified via WebSearch.
This skill provides verification principles based on canonical scholarly metadata and claim-level checking:
Core idea: Verify immediately when adding a citation, rather than checking after writing is complete.
Preferred authority order:
Verification steps:
Information that must match:
Key principle: When citing a specific claim, you must confirm the claim actually appears in the paper.
Need a citation during writing
↓
Find DOI / arXiv ID / publisher page / verified Zotero item
↓
Verify metadata with CrossRef / arXiv / Semantic Scholar / publisher / Zotero
↓
Confirm paper details
↓
Get BibTeX
↓
(If citing a specific claim) Verify the claim
↓
Add to bibliography
Key point: Verification is part of the writing process, not a separate post-processing step.
The verification principles of this skill are integrated into the Citation Workflow of the ml-paper-writing skill.
Auto-trigger: Citation verification is automatically executed when writing papers with the ml-paper-writing skill.
Manual reference: Refer to this skill when you need detailed verification principles.
Scenario: Need to cite the Transformer paper
Step 1: WebSearch lookup
Query: "Attention is All You Need Vaswani 2017"
Result: Found multiple sources for the paper
Step 2: Google Scholar verification
Query: "site:scholar.google.com Attention is All You Need Vaswani"
Result: ✅ Paper exists, 50,000+ citations, NeurIPS 2017
Step 3: Confirm details
- Title: "Attention is All You Need"
- Authors: Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; ...
- Year: 2017
- Venue: NeurIPS (NIPS)
Step 4: Get BibTeX
- Click "Cite" on Google Scholar
- Select BibTeX format
- Copy BibTeX entry
Step 5: Add to bibliography
- Paste into .bib file
- Use \cite{vaswani2017attention} in the paper
If the paper cannot be verified through canonical sources:
[CITATION NEEDED] markerIf information doesn't match:
[CITATION NEEDED] to mark explicitly❌ Wrong approach:
✅ Correct approach:
Core Principle: Proactively verify every citation during the writing process using WebSearch and Google Scholar.
Key Steps:
Failure handling: When verification fails, mark as [CITATION NEEDED] and clearly notify the user.
Integration: The principles of this skill are integrated into the ml-paper-writing skill for automatic verification.
npx claudepluginhub reminisceee/claude-scholar --plugin claude-scholarVerifies academic citations using canonical sources (DOI, arXiv, CrossRef, Semantic Scholar). Provides principles for detecting fake citations and matching metadata.
Validates bibliographic references by searching online and comparing citations against authoritative sources. Detects incorrect author, title, year, URL, or identifiers.
Verifies every citation in a manuscript by fetching cited works to detect ghost papers, wrong IDs, inverted claims, and dead links. Includes optional fix mode for bib corrections and claim rewrites.