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.
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.
arxiv.org/abs/2401.12345)2401.12345)alphaxiv.org/overview/2401.12345)Parse the paper ID from whatever the user provides:
| Input | Paper ID |
|---|---|
https://arxiv.org/abs/2401.12345 | 2401.12345 |
https://arxiv.org/pdf/2401.12345 | 2401.12345 |
https://alphaxiv.org/overview/2401.12345 |
2401.12345 |
2401.12345v2 | 2401.12345v2 |
2401.12345 | 2401.12345 |
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.
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}.