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AlphaXiv Paper Lookup

Look up any arxiv paper via alphaxiv.org to get a structured AI-generated overview instead of parsing raw PDFs.

2 minutes
By oliviscusAISource
#arxiv#research-papers#paper-summary#academic#alphaxiv

Reading arxiv papers means downloading PDFs, squinting at dense formatting, and spending 30 minutes just to figure out if a paper is relevant to your work. Most papers could be assessed in 2 minutes with the right summary.

Who it's for: graduate students doing literature reviews, ML researchers tracking new papers, postdocs screening submissions, research engineers evaluating techniques, academic advisors staying current

Example

"Summarize arxiv.org/abs/2401.12345 and tell me if it's relevant to my transformer efficiency research" → Structured overview with key contributions, methodology, results, limitations, and relevance assessment — no PDF download needed

CLAUDE.md Template

New here? 3-minute setup guide → | Already set up? Copy the template below.

# 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:

| 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`   |

### Step 2: Fetch the machine-readable report

```bash
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:

```bash
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.
README.md

What This Does

Lets Claude look up any arxiv paper through alphaxiv.org to get a structured, AI-generated overview — no PDF parsing needed. Just provide an arxiv URL or paper ID, and it fetches a detailed analysis optimized for LLM consumption. Falls back to full paper text extraction when deeper detail is needed.


Quick Start

Step 1: Download the Template

Click Download above to get the CLAUDE.md file.

Step 2: Place in Your Project

Drop the template into any project folder where you work with research papers:

research/
├── CLAUDE.md
└── notes/          # Your paper notes

Step 3: Start Working

claude

Say: "Explain this paper: https://arxiv.org/abs/2401.12345"


Supported Input Formats

Input Extracted 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

How It Works

  1. Fetch the overview — calls alphaxiv.org/overview/{ID}.md for a structured report
  2. Fall back to full text — if the overview lacks specific details, fetches alphaxiv.org/abs/{ID}.md
  3. Last resort — directs to the raw PDF at arxiv.org/pdf/{ID}

No API keys or authentication required — all endpoints are public.


Tips

  • The structured overview is usually sufficient — only fetch full text for specific equations, tables, or sections
  • Works with any arxiv paper ID format, including versioned IDs like 2401.12345v2
  • If a report returns 404, the paper hasn't been processed by AlphaXiv yet

Example Prompts

"Explain this paper: https://arxiv.org/abs/2401.12345"
"Summarize the key contributions of 2401.12345"
"What methods does this paper use? arxiv.org/abs/2401.12345"
"Compare the results in 2401.12345 with 2312.67890"
"What are the limitations discussed in this paper?"

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