hugging-face-paper-pages

Original：🇺🇸 English

Translated

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.

2installs

Sourcehuggingface/skills

Added on2026-03-19

NPX Install

npx skill4agent add huggingface/skills hugging-face-paper-pages

SKILL.md Content

View Translation Comparison →

Hugging Face Paper Pages

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

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:

bash

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:

bash

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:

bash

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:

bash

curl https://huggingface.co/api/models?filter=arxiv:{PAPER_ID}

To find datasets linked to the paper, use:

bash

curl https://huggingface.co/api/datasets?filter=arxiv:{PAPER_ID}

To find spaces linked to the paper, use:

bash

curl https://huggingface.co/api/spaces?filter=arxiv:{PAPER_ID}

Claim paper authorship

Claim authorship of a paper for a Hugging Face user:

bash

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:

bash

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:

bash

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:

bash

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:

bash

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:

bash

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.

hugging-face-paper-pages

NPX Install

Tags

SKILL.md Content

Hugging Face Paper Pages

When to Use

Parsing the paper ID

Fetch the paper page as markdown

Paper Pages API Endpoints

Get structured metadata

Claim paper authorship

Get daily papers

List papers

Search papers

Index a paper

Update paper links

Error Handling

Fallbacks

Notes