
Hugging Face Paper Pages
FreeAccess and analyze AI research papers easily.
Free · Opens the source repo
What Hugging Face Paper Pages does
The Hugging Face Paper Pages skill allows users to interact seamlessly with research papers hosted on Hugging Face and arXiv. By simply sharing a Hugging Face paper URL, an arXiv URL, or even an arXiv ID, users can retrieve structured metadata and content in markdown format. This skill is particularly beneficial for developers and researchers who need to summarize, explain, or analyze AI research papers quickly without navigating multiple platforms.
This skill leverages the Hugging Face API, providing endpoints to fetch paper content, metadata, and related models, datasets, or Spaces. Users can easily extract essential information such as authors, project pages, and engagement metrics. The ability to claim authorship for papers further enhances user engagement, allowing authors to showcase their work on their Hugging Face profile.
The integration with the Daily Papers feed allows users to stay updated with the latest research, making it a valuable tool for anyone involved in AI and machine learning. The skill supports various input formats, ensuring that users can retrieve the information they need regardless of how they reference the paper. This flexibility makes it an essential resource for researchers, educators, and developers looking to enhance their understanding of the latest advancements in AI.
Overall, Hugging Face Paper Pages skill is designed to streamline the process of accessing and interacting with AI research papers, making it an indispensable tool for those in the field.
When to use it
Use this skill when you have a Hugging Face or arXiv paper URL, or need to summarize or analyze an AI research paper.
When not to use it
This skill is not suitable for papers outside the Hugging Face or arXiv domains, or for non-AI related research.
What you can build with it
Summarizing a Research Paper
When a user shares an arXiv URL, the skill retrieves and summarizes the paper's content in markdown format.
Claiming Authorship
Researchers can claim authorship of their papers on Hugging Face, linking their work to their profiles.
Fetching Daily Papers
Users can access the Daily Papers feed to stay updated on the latest AI research published on Hugging Face.
How to install Hugging Face Paper Pages
View source1. Install with the skills CLI
npx skills add huggingface/skills/huggingface-papers --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by huggingfaceHugging 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
authorsfield). 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/2602.08025orhttps://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:
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 claimedclaimAuthorId(string): author entry on the paper being claimed, 24-char hex IDtargetUserId(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 numberlimit(integer): number of results, between 1 and 100date(string): RFC 3339 full-date, for example2017-07-21week(string): ISO week, for example2024-W03month(string): month value, for example2024-01submitter(string): filter by submittersort(enum):publishedAtortrending
- 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 cursorlimit(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 250limit(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 $HF_TOKEN" \
--data '{
"arxivId": "{ARXIV_ID}"
}'
- Endpoint:
POST /api/papers/index - Body:
arxivId(string, required): arXiv ID to index, for example2301.00001
- Pattern:
^\d{4}\.\d{4,5}$ - 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 URLorganizationId(string, nullable): organization ID, 24-char hex IDprojectPage(string, nullable): project page URL
- Response: empty JSON object on success
Error Handling
- 404 on
https://huggingface.co/papers/{PAPER_ID}ormdendpoint: 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
.mdendpoint for reliable machine-readable output. - Prefer
/api/papers/{PAPER_ID}when you need structured JSON fields instead of page markdown.
Frequently asked questions about Hugging Face Paper Pages
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