huggingface-papers

To extract metadata from a Hugging Face paper page, provide the paper URL or arXiv ID. The tool fetches the page via the Papers API and parses structured fields like authors, linked models, datasets, Spaces, and GitHub repositories.

Yes, you can fetch Hugging Face papers using an arXiv ID. The skill accepts both direct Hugging Face paper URLs and arXiv URLs or IDs to retrieve the paper content and its linked project resources.

When analyzing an AI research paper, you can discover linked resources including models, datasets, Spaces, project pages, and GitHub repositories. This builds a complete research context from the Hugging Face Papers API.

To summarize a paper for a literature review, input the Hugging Face paper URL. The skill retrieves the page content in Markdown, allowing you to quickly generate briefs and analyze the research findings.

The Hugging Face Papers API returns content in both Markdown and JSON formats. This allows the skill to fetch the paper page text for summarization while extracting structured metadata for analysis.