alphaxiv

Name: alphaxiv
Availability: InStock
Author: goupup-ai

Summarize individual arXiv papers using tiered AlphaXiv and LaTeX sources.

2|Updated Aug 12, 2025

Search Tags:#literature review #academic research #research assistant #arxiv #paper summary #alphaxiv

Ready to run

npx skills add https://github.com/goupup-ai/miccai25 --skill alphaxiv-goupup-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: alphaxiv
Source: https://github.com/goupup-ai/miccai25/tree/main/ARIS/skills/alphaxiv
Command: npx skills add https://github.com/goupup-ai/miccai25 --skill alphaxiv-goupup-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually reading full arXiv papers to extract key takeaways is time-consuming, especially when you only need a quick understanding of a single paper's core contributions and findings.

Core Features & Use Cases

Tiered Source Fallback: Starts with a fast, LLM-optimized AlphaXiv overview, then escalates to full paper markdown or LaTeX source only if deeper details are needed, minimizing unnecessary processing.
Flexible Input Handling: Accepts bare arXiv IDs, arXiv/AlphaXiv URLs, and versioned paper links, automatically extracting the correct paper identifier.
Use Case: A researcher who receives a recommendation for a relevant arXiv paper can use this skill to get a 2-3 sentence summary of its core contributions in seconds, without downloading or reading the full PDF.

Quick Start

Use the alphaxiv skill to get a quick LLM-optimized summary of the arXiv paper with ID 2401.12345.

Frequently Asked Questions about alphaxiv

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

FAQPage Schema

How do I get a quick summary of an arXiv paper without reading the full PDF?▼

To summarize arXiv papers without reading the full text, provide the paper ID or URL to retrieve an LLM-optimized overview of its core contributions, methodology, and experimental results. This eliminates time-consuming manual PDF processing.

What is the best way to extract core findings from a research paper using just its arXiv ID?▼

Extracting core findings using an arXiv ID utilizes a tiered source fallback system fetching AlphaXiv overviews, full markdown, and LaTeX source. This matches detail levels to query specificity and provides a 2-3 sentence summary of contributions in seconds.

Can I use arXiv URLs or versioned paper links to retrieve a research summary?▼

Yes, flexible input handling accepts bare arXiv IDs, arXiv URLs, AlphaXiv links, and versioned paper links. The system automatically extracts the correct paper identifier to fetch your research summary without requiring manual formatting.

Does the summarization tool process the raw LaTeX source or just the markdown text?▼

The tool implements a tiered source fallback system that can process both full paper markdown and LaTeX source. It starts with a fast AlphaXiv overview and only escalates to markdown or LaTeX source if deeper details are needed.

When should I not use an automated arXiv paper summary for literature review?▼

You should not use automated summaries when your literature review requires exhaustive manual verification of nuanced mathematical proofs or exhaustive experimental data sets. The tiered fallback system provides markdown and LaTeX source, but rapid comprehension of single papers is its primary focus.