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alphaxiv-paper-lookup

Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md2.3 KB

SKILL.md(원문)

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AlphaXiv Paper Lookup

Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.

When to Use

  • User shares an arxiv URL (e.g. arxiv.org/abs/2401.12345)
  • User mentions a paper ID (e.g. 2401.12345)
  • User asks you to explain, summarize, or analyze a research paper
  • User shares an alphaxiv URL (e.g. alphaxiv.org/overview/2401.12345)

Workflow

Step 1: Extract the paper ID

Parse the paper ID from whatever the user provides:

InputPaper ID
https://arxiv.org/abs/2401.123452401.12345
https://arxiv.org/pdf/2401.123452401.12345
https://alphaxiv.org/overview/2401.123452401.12345
2401.12345v22401.12345v2
2401.123452401.12345

Step 2: Fetch the machine-readable report

curl -s "https://alphaxiv.org/overview/{PAPER_ID}.md"

This returns the intermediate machine-readable report — a structured, detailed analysis of the paper optimized for LLM consumption. One call, plain markdown, no JSON parsing.

If this returns 404, the report hasn't been generated for this paper yet.

Step 3: If you need more detail, fetch the full paper text

If the report doesn't contain the specific information the user is asking about (e.g. a particular equation, table, or section), fetch the full paper text:

curl -s "https://alphaxiv.org/abs/{PAPER_ID}.md"

This returns the full extracted text of the paper as markdown. Only use this as a fallback — the report is usually sufficient.

If this returns 404, the full text hasn't been processed yet. As a last resort, direct the user to the PDF at https://arxiv.org/pdf/{PAPER_ID}.

Error Handling

  • 404 on Step 2: Report not generated for this paper.
  • 404 on Step 3: Full text not yet extracted for this paper.

Notes

  • No authentication required — these are public endpoints.

리뷰

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