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papers

Searches academic literature via arXiv, Semantic Scholar, and open-access PDFs. Use when building literature reviews or finding formal research on a topic.

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Ver no GitHub ↗ Licença: MIT

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Academic Papers Search

When To Use

  • Finding academic papers, citations, or formal research
  • Building literature reviews or citation chains

When NOT To Use

  • Community opinions (use /tome:discourse)
  • Code implementations (use /tome:code-search)

Search arXiv, Semantic Scholar, and open-access sources.

Sources (Priority Order)

  1. arXiv API (free, unlimited metadata)
  2. Semantic Scholar API (100 req/5min, citation graphs)
  3. Unpaywall (legal free version discovery)
  4. CORE.ac.uk (open-access aggregator)
  5. PubMed Central (biomedical)
  6. Author preprint pages (WebSearch fallback)

PDF Processing

After acquiring a paper URL or local file path, convert the PDF to markdown for better extraction quality.

Conversion (prefer markitdown)

Apply the leyline:document-conversion protocol:

  1. Try markitdown first: call the MCP convert_to_markdown

tool with the PDF URL or file:// path. This produces structured markdown preserving tables, equations, figures, and section hierarchy.

  1. Fall back to Read tool if markitdown is unavailable:
  2. Read with pages: "1-20" for the first chunk
  3. Continue with pages: "21-40" for longer papers
  4. Continue in 20-page increments as needed
  5. Note: tables and figures will not extract as cleanly

Extraction Targets

From the converted markdown, extract:

  • Abstract and key findings
  • Methodology and experimental setup
  • Results tables and figures
  • Citation information (authors, year, venue)
  • Key equations or formal definitions

Fallback Guidance

When a paper is paywalled and no open version exists:

  • Public library JSTOR/ProQuest access via library card
  • DeepDyve article rental
  • Inter-library loan request
  • Direct author email template
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