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citation-verification

This skill provides reference guidance for citation verification in academic writing.

Skill by Galaxy-Dawn

IndexedMIT★ 5,894
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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/galaxy-dawn-citation-verification

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About

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.

Use cases: ml, writing, research

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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
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/citation-verification

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
199 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 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.

## 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 canonical scholarly metadata and claim-level checking:

### 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. Canonical Metadata Verification

Preferred authority order:
1. DOI / publisher landing page
2. arXiv ID or arXiv landing page
3. CrossRef
4. Semantic Scholar
5. Zotero metadata imported from a verified identifier
6. Google Scholar only for manual discovery or fallback lookup

**Verification steps**:
1. Find a DOI, arXiv ID, publisher URL, or verified Zotero item.
2. Confirm title, first author, year, venue, and identifier.
3. Fetch BibTeX from CrossRef, arXiv, publisher metadata, Zotero, or another programmatic source when possible.
4. If only Google Scholar can find the item, mark it as manual verification and do not treat the BibTeX as final until metadata is checked elsewhere.

### 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
    ↓
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.

## 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

From Galaxy-Dawn/claude-scholar, MIT.

More from Galaxy-Dawn/claude-scholar

Signals

Stars
5,894
Forks
461
Open issues
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Last commit (this folder)
May 13, 2026 (5 months ago)
Last release
Feb 25, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

citation-verification skill. Agent Mart. https://agentmart.dev/skills/galaxy-dawn-citation-verification (last updated 2026-10-24)