Hugging Face Paper Pages

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:

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:

curl "https://huggingface.co/api/settings/papers/claim" \
  --request POST \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer $HF_TOKEN" \
  --data '{
    "paperId": "{PAPER_ID}",
    "claimAuthorId": "{AUTHOR_ENTRY_ID}",
    "targetUserId": "{USER_ID}"
  }'

• Endpoint: POST /api/settings/papers/claim
• Body:
  • paperId (string, required): arXiv paper identifier being claimed
  • claimAuthorId (string): author entry on the paper being claimed, 24-char hex ID
  • targetUserId (string): HF user who should receive the claim, 24-char hex ID
• Response: paper authorship claim result, including the claimed paper ID

Get daily papers

Fetch the Daily Papers feed:

curl -s -H "Authorization: Bearer $HF_TOKEN" \
  "https://huggingface.co/api/daily_papers?p=0&limit=20&date=2017-07-21&sort=publishedAt"

• Endpoint: GET /api/daily_papers
• Query parameters:
  • p (integer): page number
  • limit (integer): number of results, between 1 and 100
  • date (string): RFC 3339 full-date, for example 2017-07-21
  • week (string): ISO week, for example 2024-W03
  • month (string): month value, for example 2024-01
  • submitter (string): filter by submitter
  • sort (enum): publishedAt or trending
• Response: list of daily papers

List papers

List arXiv papers sorted by published date:

curl -s -H "Authorization: Bearer $HF_TOKEN" \
  "https://huggingface.co/api/papers?cursor={CURSOR}&limit=20"

• Endpoint: GET /api/papers
• Query parameters:
  • cursor (string): pagination cursor
  • limit (integer): number of results, between 1 and 100
• Response: list of papers

Search papers

Perform hybrid semantic and full-text search on papers:

curl -s -H "Authorization: Bearer $HF_TOKEN" \
  "https://huggingface.co/api/papers/search?q=vision+language&limit=20"

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:

curl "https://huggingface.co/api/papers/{PAPER_OBJECT_ID}/links" \
  --request POST \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer $HF_TOKEN" \
  --data '{
    "projectPage": "https://example.com",
    "githubRepo": "https://github.com/org/repo",
    "organizationId": "{ORGANIZATION_ID}"
  }'

• Endpoint: POST /api/papers/{paperId}/links
• Path parameters:
  • paperId (string, required): Hugging Face paper object ID
• Body:
  • githubRepo (string, nullable): GitHub repository URL
  • organizationId (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 $HF_TOKEN.
• Prefer the .md endpoint for reliable machine-readable output.
• Prefer /api/papers/{PAPER_ID} when you need structured JSON fields instead of page markdown.3b:["$","$L44",null,{"content":"$45","frontMatter":{"name":"hugging-face-paper-pages","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, or analyze an AI research paper."}}]