hugging-face-paper-pages

To extract metadata from Hugging Face paper pages and arXiv entries, provide the specific paper URL or arXiv ID. The system fetches authors, linked models, datasets, spaces, and GitHub repositories, returning structured JSON metadata and markdown content.

Yes, you can get full markdown content using an arXiv ID. The system integrates with the Hugging Face Papers API and arXiv sources to retrieve the complete markdown rendering of the paper, making it ready for downstream tooling and literature reviews.

Parsing a Hugging Face paper page extracts linked resources including associated models, datasets, spaces, GitHub repositories, and project pages. This structured metadata provides a comprehensive overview of the paper's ecosystem for ready-to-use summaries.

Yes, the metadata extraction tool handles missing paper pages gracefully. If a Hugging Face or arXiv page is unavailable, the system is designed to manage the missing data without failing, ensuring your research workflow remains uninterrupted.

The best way to structure JSON metadata from arXiv papers is to input the arXiv URL into this extraction tool. It automatically fetches and structures authors, linked resources, and markdown content into a concise, ready-to-use metadata block for your literature review.

Yes, you can use extracted paper metadata with downstream research assistant tools. The system outputs structured JSON metadata and full markdown content via the Hugging Face Papers API, specifically designed for seamless integration into downstream research workflows.