hugging-face-paper-publisher

To publish an arXiv paper on Hugging Face Hub, you can index the paper using its arXiv ID. The workflow enforces YAML frontmatter metadata and generates web-ready markdown articles to create and index the paper entry.

You can link a research paper to models and datasets by attaching it through YAML frontmatter and README references. This process also generates citation blocks to ensure proper attribution for the linked artifacts.

Yes, you can claim authorship on Hugging Face to verify your contributions. After indexing a paper from its arXiv ID, the workflow supports authorship claims to validate and link your profile to the research.

The workflow provides four template options for generating markdown-based research articles: standard, modern, arxiv, and ml-report. These templates enforce structured YAML frontmatter to produce professional, web-ready articles.

Yes, YAML frontmatter metadata is strictly enforced for paper publishing on Hugging Face Hub. It is required to properly structure metadata, link related models and datasets, and generate citation blocks for attribution.

The best way to manage paper metadata and versioning is using an end-to-end publication workflow. This approach handles creation, template-driven markdown generation, artifact linking, and reproducible versioning from arXiv to the Hub.