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coarse (@CoarseDotInk) profile picture

coarse

@CoarseDotInk

Open-source, not-for-profit AI paper reviewer. You pay cost, none of your data is stored beyond 90 days or used for training. Git: https://teapawt.org/t.co/LcP6mmIBFk

 Utopia
coarse.ink
Joined April 2026
  • Tweets38
  • Following4
  • Followers455
You can now use GPT-6 Astra or Fable 5.1 to review your papers on @CoarseDotInk. And since it is not-for-profit you can make that choice without drama 😁
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And open source, check out the github! Would love to see some suggestions from the math community how to improve it further
Daniel Litt (@littmath) profile pictureDaniel Litt
@littmathAug 26
Replying to @littmath
There are a number of available options here. One can build a scaffold oneself cheaply or just prompt the models to be adversarial with your papers. The site coarse.ink lets you use your own tokens at API prices. 5/n
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Try out the new deep lit search!
David Van Dijcke (@packlesshepherd) profile pictureDavid Van Dijcke@packlesshepherdJul 30
Replying to @CoarseDotInk
@CoarseDotInk now has a deep literature search option! Just toggle it on to use @perplexity_ai's Sonar Deep Research to inform the review.
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Back up!
coarse (@CoarseDotInk) profile picturecoarse@CoarseDotInkJun 9
Replying to @claudeai
@claudeai's Fable 5 model is now available as a backend for @CoarseDotInk!
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Seems like we are too powerful to run with state of the art models!
Dang Nguyen (@divingwithorcas) profile pictureDang Nguyen
@divingwithorcasJun 22
There has been a wave of AI reviewing systems (OpenAIReview, @RefineDotInk, @CoarseDotInk, @Reviewer3, etc) But are they any good? Our new paper benchmarks 4 agentic review systems on real papers 🧵
Image from Dang Nguyen (@divingwithorcas)
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The @CoarseDotInk, AI-based academic review software, is now in multiple languages! And is still virtually free - a huge advantage over competitors.
David Van Dijcke (@packlesshepherd) profile pictureDavid Van Dijcke@packlesshepherdJun 19
Replying to @CoarseDotInk
@CoarseDotInk's AI academic reviews are now available in multiple languages! coarse.ink You can change the website's language, and have it review articles in your language of choice. Supports 12 languages so far, including Chinese, Arabic, Spanish, and French!
Image from David Van Dijcke (@packlesshepherd)
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Replying to @CoarseDotInk
@CoarseDotInk's AI academic reviews are now available in multiple languages! coarse.ink You can change the website's language, and have it review articles in your language of choice. Supports 12 languages so far, including Chinese, Arabic, Spanish, and French!
Image from David Van Dijcke (@packlesshepherd)
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Nice blog from the @RefineDotInk team — agentic harnesses beat one-shot LLMs on academic reviews. Notable: 'coarse + GPT-5.5 gets 28% wins/ties on their own benchmark, at a fraction of the cost + open-source & not-for-profit. Might be even better at max effort ;)
Ben Golub (@ben_golub) profile pictureBen Golub
@ben_golubJun 17
Replying to @ben_golub
The benchmark covered 5 single-shot frontier reasoning models and 4 systems consisting of a frontier model + an open-source scaffold. Refine won against every comparison system, including Fable 5 (high). The closest matches came from scaffolded reviewers. 2/8
Image from Ben Golub (@ben_golub)
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You can now talk to your @CoarseDotInk review! Every review comment now has a "Discuss" button that lets you discuss it with an AI model of choice. The model gets all the context from the review, which lets you seamlessly continue the discussion. (1/)
Image from coarse (@CoarseDotInk)
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more replies
Alternatively, you can click "Discuss with your AI", which hands off all the context you need to continue chatting with your subscription of choice. Have fun chatting! (3/3)
Image from coarse (@CoarseDotInk)
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Try it out with this example review: coarse.ink/review/db646258-8…
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Go, @CoarseDotInk, the AI-based paper-reviewing software!
coarse (@CoarseDotInk) profile picturecoarse@CoarseDotInkJun 4
A few updates landed on @CoarseDotInk -- support for the latest models and some bug fixes / new features. Thanks to the contributors on GitHub! More things coming soon!
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A few updates landed on @CoarseDotInk -- support for the latest models and some bug fixes / new features. Thanks to the contributors on GitHub! More things coming soon!
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1,000+ reviews served, 1.6K PyPi downloads, in a little over a week. Thanks for all the love and feedback :)
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(though to be fair, I am also not going to use the coarse interface to carefully review the comments and mark "done" etc., since I've largely already addressed them). Overall: I see refine still strong on the margin, but for the very low $$, Coarse is *very* impressive
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Did a head-to-head comparison of refine + coarse.ink today #econtwitter (I had used refine last week for one of my recent WPs, so I fed in the same version into coarse.) This is a paper reporting on a RCT, fairly standard development / applied micro design
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Big update on @CoarseDotInk: you can now run reviews at ~zero marginal cost through your AI subscriptions! Just drop your paper into coarse.ink, click "Review with my subscription" and follow the instructions See coarse.ink/setup --> "Use my subscription"
Image from David Van Dijcke (@packlesshepherd)
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Competition is a beautiful thing. Consumers winning.
coarse (@CoarseDotInk) profile picturecoarse@CoarseDotInkApr 13
If you have working papers that are not too polished and you're willing to let Coarse use them as demonstrations on its examples page, let us know - we'll give you endless not-for-profit full reviews as a token of appreciation. Please DM or reply.
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400+ reviews served in just a couple of days! All running on free-ish infrastructure with no institutional backers. 'coarse <3 that you <3 open-source. Keep 'em coming!
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