huggingface-paper-publisher

To index an arXiv paper on Hugging Face, you provide the arXiv ID to the paper manager script. This automates the discovery and indexing process, linking the research directly within the Hugging Face Hub ecosystem.

Yes, you can link models, datasets, and spaces to a Hugging Face paper. The skill automatically generates proper YAML metadata and citation management to maintain consistent research lineage across linked artifacts.

The best way to format research articles for the Hugging Face Hub is using markdown-based generation. The skill creates professional, modern research articles from templates to ensure consistent formatting and discoverability.

Yes, you need Hugging Face Hub API integration to publish research papers. The workflow relies on standard Python scientific publishing dependencies, including the huggingface_hub library and python-dotenv for environment management.

Repository metadata management for Hugging Face papers works by automating the linking of artifacts through proper YAML configuration. It maintains consistent research lineage by handling citation management and repository connections automatically.

Automating arXiv paper discovery for Hugging Face is limited to papers with valid arXiv IDs and requires standard Python dependencies like requests and pyyaml. It focuses on metadata management and article generation rather than content validation.