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Papers with Code (paperswithcode.co)

databasediscoveryactive
Papers with Code at paperswithcode.co is a revival of the dead aggregator, built by Niels Rogge of Hugging Face's open-source team and announced in May 2026; its code, in Hugging Face's GitHub organization under Apache-2.0, "recreates the original paperswithcode.com, which Meta retired in 2025."
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Entity

Canonical namePapers with Code (paperswithcode.co)
Also known asthe PapersWithCode revival
Addresshttps://paperswithcode.co/
OperatorNiels Rogge, of Hugging Face's open-source team (his own statement: 'Niels here from the open-source team at Hugging Face… since I launched paperswithcode.co'); code in the huggingface GitHub organization op
Founded2026 (the r/MachineLearning announcement card is dated 18 May 2026) obs
Kinddatabase
Rolesdiscovery
Lifecycleactive
Observation2026-10-29: read (title and description only; the page renders by script)
In its own words“Discover trending machine-learning papers, methods, benchmarks, datasets, and open-source implementations.” op
Unitpaper, with its code, datasets and benchmark results
Intakeautomated imports from Hugging Face, arXiv, GitHub and public leaderboards (its README) op
Data accesscode at github.com/huggingface/paperswithcode
Licencecode Apache-2.0 op
Notethe README states that it 'recreates the original paperswithcode.com, which Meta retired in 2025'. The relaunch is a Community Article in its author's namespace on Hugging Face. Its standing is described differently elsewhere: Google's Overview says Hugging Face 'officially stepped in'; AI Weekly called it an individual effort. On 2026-10-29 paperswithcode.com redirects to Hugging Face Trending Papers op

op operator statement · 3p third-party report · obs our observation · rd our reading

What it is

It tracks trending machine learning research with code, datasets and leaderboards, kept current by automated imports from Hugging Face, arXiv, GitHub and public leaderboards, by its README. The live site describes itself as a place to "discover trending machine-learning papers, methods, benchmarks, datasets, and open-source implementations."

How it entered the census

The census of 28 October recorded the revival as an undated individual effort under the dead aggregator's page. The capture of 29 October at "is papers with code still active" answered yes and named the revival at its new domain; its repository, read the same day, confirmed it. The record is the census corrected by the composition layer.

What is held apart

Its standing is described two ways: Google's Overview says Hugging Face "officially stepped in"; AI Weekly called it an individual effort. The code sits in Hugging Face's organization. The original's frozen dumps, CodeSOTA's succession claim and this revival are three entities around one name, and the census keeps each.

For a research question

Admission requires harm?no rd
Version history?its code history is public; data history not read obs

Relations

Revives

Captures: the composition layer's account

Disambiguationthe names it can be confused with3
Papers with Codepaperswithcode.com, Atlas ML, Meta, 2018–2025, the data dumps
CodeSOTAcodesota.com, routing layer, /api/sota
this entitypaperswithcode.co, Niels Rogge, huggingface/paperswithcode, Apache-2.0
Negative tagswhat it is not2
  • NOT paperswithcode.com, which ended 24 July 2025
  • NOT CodeSOTA
Provenanceevery source read, with its date4
Not yet checkedwhat remains to read1
  • its item counts

Cite this record

Lee Sharks, ed. "Papers with Code (paperswithcode.co)." MMRS meta-aggregator, Machine-Mediated Reception Studies, compiled 2026-10-29. https://www.machinemediation.org/aggregators/papers-with-code-revival/

Record https://www.machinemediation.org/aggregators/papers-with-code-revival/ · entity https://www.machinemediation.org/aggregators/papers-with-code-revival/#entity

Editor: Lee Sharks (ORCID 0009-0000-1599-0703). This page is the MMRS record of the entity above: its reading, fields and relations are MMRS's, and each field carries its source and basis. Record https://www.machinemediation.org/aggregators/papers-with-code-revival/ · entity https://www.machinemediation.org/aggregators/papers-with-code-revival/#entity · compiled 2026-10-29