Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain,...
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hugging-face-papers
description
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain,...
Hugging Face Paper pages (hf.co/papers) is a platform built on top of arXiv (arxiv.org), specifically for research papers in the field of artificial intelligence (AI) and computer science. Hugging Face users can submit their paper at hf.co/papers/submit, which features it on the Daily Papers feed (hf.co/papers). Each day, users can upvote papers and comment on papers. Each paper page allows authors to:
claim their paper (by clicking their name on the authors field). This makes the paper page appear on their Hugging Face profile.
link the associated model checkpoints, datasets and Spaces by including the HF paper or arXiv URL in the model card, dataset card or README of the Space
link the Github repository and/or project page URLs
link the HF organization. This also makes the paper page appear on the Hugging Face organization page.
Whenever someone mentions a HF paper or arXiv abstract/PDF URL in a model card, dataset card or README of a Space repository, the paper will be automatically indexed. Note that not all papers indexed on Hugging Face are also submitted to daily papers. The latter is more a manner of promoting a research paper. Papers can only be submitted to daily papers up until 14 days after their publication date on arXiv.
The Hugging Face team has built an easy-to-use API to interact with paper pages. Content of the papers can be fetched as markdown, or structured metadata can be returned such as author names, linked models/datasets/spaces, linked Github repo and project page.
When to Use
User shares a Hugging Face paper page URL (e.g. https://huggingface.co/papers/2602.08025)
User shares a Hugging Face markdown paper page URL (e.g. https://huggingface.co/papers/2602.08025.md)
User shares an arXiv URL (e.g. https://arxiv.org/abs/2602.08025 or https://arxiv.org/pdf/2602.08025)
User mentions a arXiv ID (e.g. 2602.08025)
User asks you to summarize, explain, or analyze an AI research paper
Parsing the paper ID
It's recommended to parse the paper ID (arXiv ID) from whatever the user provides:
Input
Paper ID
https://huggingface.co/papers/2602.08025
2602.08025
https://huggingface.co/papers/2602.08025.md
2602.08025
https://arxiv.org/abs/2602.08025
2602.08025
https://arxiv.org/pdf/2602.08025
2602.08025
2602.08025v1
2602.08025v1
2602.08025
2602.08025
This allows you to provide the paper ID into any of the hub API endpoints mentioned below.
Fetch the paper page as markdown
The content of a paper can be fetched as markdown like so:
This should return the Hugging Face paper page as markdown. This relies on the HTML version of the paper at https://arxiv.org/html/{PAPER_ID}.
There are 2 exceptions:
Not all arXiv papers have an HTML version. If the HTML version of the paper does not exist, then the content falls back to the HTML of the Hugging Face paper page.
If it results in a 404, it means the paper is not yet indexed on hf.co/papers. See Error handling for info.
Alternatively, you can request markdown from the normal paper page URL, like so:
arxivId (string, required): arXiv ID to index, for example 2301.00001
Pattern: ^\d{4}\.\d{4,5}$
Response: empty JSON object on success
Update paper links
Update the project page, GitHub repository, or submitting organization for a paper. The requester must be the paper author, the Daily Papers submitter, or a papers admin:
