hugging-face-paper-publisher

To publish research papers on Hugging Face Hub, you index arXiv submissions and link them to your repositories using markdown-based articles. You associate papers with models, datasets, and spaces by updating READMEs with YAML frontmatter.

Generating BibTeX citations for arXiv papers involves using included scripts to index the arXiv ID and link it to your model or dataset. The scripts automatically create the citation metadata while asserting authorship across Hugging Face Hub profiles.

Linking arXiv submissions to Hugging Face repositories requires HF API access to manage visibility and assert authorship. You need to configure your environment with the huggingface_hub library and Python dependencies to execute the indexing and linking scripts.

Adding YAML metadata to link a research paper with a Hugging Face dataset requires updating your repository README with YAML frontmatter. This process associates the indexed arXiv submission with the dataset, asserting authorship and managing visibility across normal HF pipelines.

Managing authorship and visibility for papers on Hugging Face Hub is best handled by indexing arXiv submissions and linking them to repositories via markdown articles. The workflow asserts authorship and updates YAML frontmatter to control profile visibility across HF pipelines.