hugging-face-paper-publisher

Publish arXiv papers on Hugging Face Hub by indexing the submission, claiming authorship, and generating a markdown article with YAML metadata. This workflow links the paper to your models and datasets using the huggingface_hub API.

Link research papers to Hugging Face model and dataset cards by attaching arXiv references and citations within the YAML frontmatter. This connects your published artifacts directly to the underlying research documentation.

Generate markdown research articles from standard, modern, arXiv, or ml-report templates with LaTeX math support and dynamic tables of contents. The workflow creates professional papers with consistent YAML metadata and versioning.

Python and Hugging Face API access are required to index papers from arXiv. The workflow depends on huggingface_hub, pyyaml, requests, markdown, and python-dotenv to perform indexing, linking, and article creation.

Manage Hugging Face Paper Pages by indexing arXiv submissions, claiming authorship, and controlling visibility settings. This approach maintains consistent frontmatter and cross-references across your model and dataset repositories.

YAML frontmatter maintains consistent metadata, versioning, and cross-references across Hugging Face repositories when publishing research papers. It ensures proper citations and arXiv references are attached to model and dataset cards.