Huggingface Papers

作者 huggingfaceabc20ae526d8無授權條款收錄於 2026年10月8日更新於 2026年10月8日

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.

AI 產生的概覽

以 Markdown 取得 Hugging Face 論文頁面,並呼叫論文 API 取得中繼資料、關聯連結、搜尋與每日論文。

功能
說明如何從使用者提供的網址或 ID 解析出 arXiv 或 Hugging Face 論文 ID,再以 Markdown 或結構化 JSON 中繼資料的形式取得論文頁面。文件涵蓋論文中繼資料、關聯的模型、資料集與 Space、每日論文、論文清單、混合搜尋、索引、連結更新與作者認領等 API 端點,並提供錯誤處理與退回 arXiv 的做法。
適用情境
當使用者分享 Hugging Face 論文頁面網址、arXiv 網址或 ID,或要求摘要、解釋或分析某篇 AI 研究論文時使用。也適合用來尋找與論文關聯的模型、資料集或 Space,以及瀏覽與搜尋論文。
執行需求
需要連線至 huggingface.co 與 arxiv.org 的網路,以及 curl 或等效的 HTTP 用戶端。公開論文頁面不需要驗證;認領作者身分、索引論文或更新連結等寫入端點則需要 HF_TOKEN 持有人憑證。此技能未附帶指令碼,僅為說明文件。

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 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:

InputPaper ID
https://huggingface.co/papers/2602.080252602.08025
https://huggingface.co/papers/2602.08025.md2602.08025
https://arxiv.org/abs/2602.080252602.08025
https://arxiv.org/pdf/2602.080252602.08025
2602.08025v12602.08025v1
2602.080252602.08025

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.

來源與署名

來源:huggingface/skills位於skills/huggingface-papers提交abc20ae

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