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:
curl
-s
"https://huggingface.co/papers/{PAPER_ID}.md"
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:
curl
-s
-H
"Accept: text/markdown"
"https://huggingface.co/papers/{PAPER_ID}"
Paper Pages API Endpoints
All endpoints use the base URL
https://huggingface.co
.
Get structured metadata
Fetch the paper metadata as JSON using the Hugging Face REST API:
curl
-s
"https://huggingface.co/api/papers/{PAPER_ID}"
This returns structured metadata that can include:
authors (names and Hugging Face usernames, in case they have claimed the paper)
media URLs (uploaded when submitting the paper to Daily Papers)
summary (abstract) and AI-generated summary
project page and GitHub repository
organization and engagement metadata (number of upvotes)
To find models linked to the paper, use:
curl
https://huggingface.co/api/models?filter
=
arxiv:
{
PAPER_ID
}
To find datasets linked to the paper, use:
curl
https://huggingface.co/api/datasets?filter
=
arxiv:
{
PAPER_ID
}
To find spaces linked to the paper, use:
curl
https://huggingface.co/api/spaces?filter
=
arxiv:
{
PAPER_ID
}
Claim paper authorship
Claim authorship of a paper for a Hugging Face user:
This searches over the paper title, authors, and content.
Endpoint:
GET /api/papers/search
Query parameters:
q
(string): search query, max length 250
limit
(integer): number of results, between 1 and 120
Response: matching papers
Index a paper
Insert a paper from arXiv by ID. If the paper is already indexed, only its authors can re-index it:
curl
"https://huggingface.co/api/papers/index"
\
--request
POST
\
--header
"Content-Type: application/json"
\
--header
"Authorization: Bearer
$HF_TOKEN
"
\
--data
'{
"arxivId": "{ARXIV_ID}"
}'
Endpoint:
POST /api/papers/index
Body:
arxivId
(string, required): arXiv ID to index, for example
2301.00001
Pattern:
^\d{4}.\d{4,5}$
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:
(string, nullable): organization ID, 24-char hex ID
projectPage
(string, nullable): project page URL
Response: empty JSON object on success
Error Handling
404 on
https://huggingface.co/papers/{PAPER_ID}
or
md
endpoint
the paper is not indexed on Hugging Face paper pages yet.
404 on
/api/papers/{PAPER_ID}
the paper may not be indexed on Hugging Face paper pages yet.
Paper ID not found
verify the extracted arXiv ID, including any version suffix
Fallbacks
If the Hugging Face paper page does not contain enough detail for the user's question:
Check the regular paper page at
https://huggingface.co/papers/{PAPER_ID}
Fall back to the arXiv page or PDF for the original source:
https://arxiv.org/abs/{PAPER_ID}
https://arxiv.org/pdf/{PAPER_ID}
Notes
No authentication is required for public paper pages.
Write endpoints such as claim authorship, index paper, and update paper links require
Authorization: Bearer $HF_TOKEN
.
Prefer the
.md
endpoint for reliable machine-readable output.
Prefer
/api/papers/{PAPER_ID}
when you need structured JSON fields instead of page markdown.