alphaxiv

Retrieve LLM-optimized explanations for a single arXiv paper with tiered fallbacks.

Updated May 20, 2026
One-click install
npx skills add https://github.com/lightrain-a/medtrace-aris --skill alphaxiv-lightrain-a
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alphaxiv
Source: https://github.com/lightrain-a/medtrace-aris/tree/main/.vendor/aris/skills/alphaxiv
Command: npx skills add https://github.com/lightrain-a/medtrace-aris --skill alphaxiv-lightrain-a

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of quickly understanding a single research paper from an arXiv/AlphaXiv identifier without doing broad literature review or manual PDF reading.

Core Features & Use Cases

  • What problem it solves: Instantly returns an LLM-optimized AlphaXiv summary for one paper, with fallback to deeper sources when needed.
  • Tiered source fallback: Uses overview first for speed, then fetches full markdown, and finally pulls LaTeX source from arXiv for equation- or appendix-level details.
  • Targeted use cases: Use for quick “explain this paper,” “summarize paper,” or “answer this specific question about the paper” moments during research and reading.

Quick Start

Invoke alphaxiv with a paper ID or arXiv/AlphaXiv URL to get the best available single-paper explanation immediately.

Frequently Asked Questions about alphaxiv

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get a fast summary for a single arXiv paper?

To get a fast summary for a single arXiv paper, provide an arXiv ID or URL. The system retrieves an LLM-optimized AlphaXiv overview immediately, applying tiered fallbacks to deeper markdown and LaTeX sources only when needed.

What is the best way to extract equations and appendix details from arXiv LaTeX source?

Extracting equations and appendix details from arXiv LaTeX source is handled by pulling the necessary .tex files from the downloaded source archive. This mechanism activates as a final fallback when overviews and markdown lack the required depth.

Can I ask specific questions about a paper instead of just getting a general summary?

Yes, you can ask targeted detail questions about a paper. The system parses your specific request and inspects full markdown or selective LaTeX source files to extract and answer the exact details you need.

Does the summarization tool work with both arXiv IDs and AlphaXiv URLs?

The summarization tool works with both arXiv IDs and AlphaXiv URLs. It parses and normalizes input paper identifiers from either format to perform ordered HTTP fetches across overview, abstract, and source tiers.

When do I need to fetch the full markdown instead of the AlphaXiv overview?

You need to fetch the full markdown instead of the AlphaXiv overview when the initial overview lacks sufficient detail. The system automatically triggers this markdown fallback tier to answer targeted information requests.