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citecheck

Use when the user asks to "verify citations", "check references", "validate paper citations", or "evaluate reference relevance". It extracts references from LaTeX/PDF papers, checks formatting rules, verifies existence via Crossref / Semantic Scholar / OpenAlex / PubMed / arXiv / dblp / Google Scholar / WebSearch, and scores thematic/semantic relevance.

Datos de origen

Repositorio
color4-alt/CiteCheck
Última actividad en el origen
28 de mayo de 2026 a las 03:48
Idioma detectado de SKILL.md
inglés
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67
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3

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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
citecheck
version
0.1.0
description
Use when the user asks to "verify citations", "check references", "validate paper citations", or "evaluate reference relevance". It extracts references from LaTeX/PDF papers, checks formatting rules, verifies existence via Crossref / Semantic Scholar / OpenAlex / PubMed / arXiv / dblp / Google Scholar / WebSearch, and scores thematic/semantic relevance.
# CiteCheck — Paper Citation Verification ## Overview CiteCheck verifies academic paper citations by combining structured parsing with agent-native LLM evaluation. It supports LaTeX source files (preferred) and PDF fallback. ## Workflow 1. **Parse paper**: Call `citecheck` CLI to read LaTeX (preferred) or PDF, extract references and body text 2. **Format check**: Call `citecheck` CLI to validate bibliography entries 3. **Queryability verification**: Call `citecheck` CLI to verify existence via Crossref / Semantic Scholar 4. **Evaluate thematic relevance**: Evaluate directly using the agent's reasoning capabilities — compare cited paper title/abstract/venue against the citing paper 5. **Evaluate semantic accuracy**: Evaluate directly using the agent's reasoning capabilities — compare in-text citation context against cited source content 6. **Generate report**: Aggregate all results into a Markdown report > **Why matching steps are not done by the CLI** > The `citecheck` CLI can run standalone with optional `--api-key` for external LLM-powered matching. When used as a Skill, the host agent itself possesses LLM reasoning capabilities. Direct evaluation is faster, more consistent, and **requires no additional API keys from the user**. --- ## 1. Parse Paper (CLI) ### LaTeX source (preferred) ```bash citecheck path/to/latex_project/ --skip-verification --skip-semantic -o parsed_report.md ``` Or parse a single file: ```bash citecheck main.tex --skip-verification --skip-semantic -o parsed_report.md ``` ### PDF (fallback) ```bash citecheck paper.pdf --skip-verification --skip-semantic -o parsed_report.md ``` > `--skip-verification` and `--skip-semantic` are required in Skill mode because steps 3–5 are performed directly by the agent. --- ## 2. Format Check (CLI) Call `citecheck` to check and report format issues: | Check item | Description | |------------|-------------| | Required fields | Author, title, year, venue completeness | | Format consistency | Punctuation, capitalization, abbreviation uniformity | | DOI/URL | If present, whether format is correct and accessible | | Year sanity | No `202x` placeholders, not in the future | Detailed rules: see [./references/format-check-rules.md](./references/format-check-rules.md). --- ## 3. Queryability Verification (CLI + Agent Supplement) Call `citecheck` to query Crossref and Semantic Scholar public APIs for citation existence. API details: see [./references/api-reference.md](./references/api-reference.md). **If the CLI fails due to network/SSL issues**, use WebSearch to directly query suspicious citations (especially those marked "unverifiable"), supplementing the verification results. --- ## 4. Evaluate Thematic Relevance (Agent Direct) **Do not call the CLI or any external API.** Evaluate directly using the agent's reasoning capabilities. For each reference, extract: - Citing paper: `title`, `abstract`, `keywords` - Cited paper: `title`, `abstract` (from API results or WebSearch), `venue` Evaluation prompt template: see [./references/thematic-scoring-prompt.md](./references/thematic-scoring-prompt.md). --- ## 5. Evaluate Semantic Accuracy (Agent Direct) **Do not call the CLI or any external API.** Evaluate directly using the agent's reasoning capabilities. For each in-text citation position: 1. Extract 1–2 sentences before and after the citation marker as `citing_text` 2. Obtain the cited paper's abstract via Semantic Scholar or WebSearch as `cited_text` 3. Evaluate semantic consistency using the prompt template: see [./references/semantic-matching-prompt.md](./references/semantic-matching-prompt.md). --- ## 6. Output Report Generate a Markdown report containing: ### Summary - Total references - Format issues count - Query failures / suspicious count - Average thematic relevance score - Average semantic accuracy score ### Detailed Results Table | No. | Title | Format | Queryable | Thematic | Semantic | Notes | |-----|-------|--------|-----------|----------|----------|-------| | 1 | ... | ✅/⚠️/❌ | ✅/❌ | 0.85 | 0.90 | DOI mismatch | ### Issue Summary - List all findings and recommendations by severity --- ## Dependencies ```bash pip install CiteCheck ``` For PDF support: ```bash pip install CiteCheck[pdf] ``` --- ## Notes - **No `--api-key` is required in Skill mode**. Thematic and semantic matching are performed directly by the agent, with no external LLM API calls. - Prioritize LaTeX source files; parsing accuracy is far higher than PDF. - Add delays and retries to API calls to avoid rate limiting. - When Semantic Scholar abstracts are missing, fall back to Crossref + title keywords. - Semantic matching requires the cited paper's abstract; mark "source unreachable" when unavailable. - If placeholder citations like `=?` or `[?, ?]` are found, mark them as "unverifiable references".
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