citation-verification
This skill provides reference guidance for citation verification in academic writing.
Skill by Vepricov
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/vepricov-citation-verification
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About
Use cases: ml, writing, research
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What's inside
- Skill name
citation-verification- Description
- This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed verification principles and common error patterns.
- License
- MIT
- Instructions
- 197 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (9)
- SKILL.md
- README.md · references/
- api-usage.md · references/
- common-errors.md · references/
- verification-rules.md · references/
- README.md · scripts/
- api-clients.py · scripts/
- format-checker.py · scripts/
- verify-citations.py · scripts/
SKILL.md (first lines)
# Citation Verification Reference Guide
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 WebSearch and Google Scholar.
## Core Problems
Citation issues in academic papers seriously impact research integrity:
1. **Fake citations** - Citing non-existent papers (common issue with AI-generated citations)
2. **Incorrect information** - Mismatched authors, titles, years, etc.
3. **Inconsistent formatting** - Mixed citation formats
4. **Missing citations** - Referenced but uncited work
These issues can lead to:
- Paper rejection or retraction
- Damage to academic reputation
- Reviewers questioning research rigor
**Special risk with AI-assisted writing**: AI-generated citations have approximately 40% error rate; every citation must be verified via WebSearch.
## Verification Principles
This skill provides verification principles based on WebSearch and Google Scholar:
### 1. Proactive Verification (Verify During Writing)
**Core idea**: Verify immediately when adding a citation, rather than checking after writing is complete.
- Search for the paper via WebSearch each time a citation is needed
- Confirm the paper exists on Google Scholar
- Add to bibliography only after verification passes
### 2. Google Scholar Verification
**Why Google Scholar**:
- Most comprehensive academic literature coverage
- Provides citation count (credibility indicator)
- Directly provides BibTeX format
- Free and no API required
**Verification steps**:
1. WebSearch query: `"site:scholar.google.com [paper title] [first author]"`
2. Confirm the paper appears in results
3. Check citation count (abnormally low counts may indicate issues)
4. Click "Cite" to get BibTeX
### 3. Information Matching Verification
**Information that must match**:
- Title (minor differences allowed, e.g., capitalization)
- Authors (at least the first author must match)
- Year (±1 year difference allowed, considering preprints)
- Publication venue (conference/journal name)
### 4. Claim Verification
**Key principle**: When citing a specific claim, you must confirm the claim actually appears in the paper.
- Use WebSearch to access the paper PDF
- Search for relevant keywords
- Confirm the accuracy of the claim
- Record the section/page where the claim appears
## Verification Workflow
### Integration into Writing Process
```
Need a citation during writing
↓
WebSearch to find the paper
↓
Google Scholar to verify existence
↓
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.
## Usage Guide
### Using with ml-paper-writing
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.
### Verification Step Example
**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 formatFrom Vepricov/claude-brainlab, MIT.
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Signals
- Stars
- 33
- Forks
- 5
- Open issues
- 1
- Last commit (this folder)
- May 4, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Vepricov/claude-brainlab
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
citation-verification skill. Agent Mart. https://agentmart.dev/skills/vepricov-citation-verification (last updated 2026-10-24)