150M-parameter reasoning model sets new cost-accuracy frontier on ARC-AGI-1

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Paper page - BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

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\n","updatedAt":"2026-08-11T10:07:00.620Z","author":{"_id":"651310e3b7994cff61d71320","avatarUrl":"/avatars/161cb412c7cb284fa7483e790807e4d3.svg","fullname":"Jan Chorowski","name":"janchorowski","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":11,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.47814205288887024},"editors":["janchorowski"],"editorAvatarUrls":["/avatars/161cb412c7cb284fa7483e790807e4d3.svg"],"reactions":[{"reaction":"🔥","users":["muditjps","sakubhai06","themanas021","Brain-synapse","architaamahajan","Medha1308","weran1te","ivanp25","clrnt","chrisociepa","Starlitakash","Prakhar7017","aksh1845","Akurzrok","mabhusubhani001","sbo-winch","Roopali-2611"],"count":17},{"reaction":"🚀","users":["themanas021","weran1te","sakubhai06","ivanp25","Starlitakash","Prakhar7017","sbo-winch"],"count":7},{"reaction":"❤️","users":["themanas021","weran1te","ivanp25","Starlitakash","Prakhar7017","sbo-winch"],"count":6},{"reaction":"🧠","users":["sakubhai06","ivanp25","Starlitakash","Prakhar7017","sbo-winch","hc99"],"count":6},{"reaction":"🤗","users":["sbo-winch"],"count":1}],"isReport":false}},{"id":"6a7bce756a516f9bf5f1968d","author":{"_id":"63d3e0e8ff1384ce6c5dd17d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg","fullname":"Librarian Bot (Bot)","name":"librarian-bot","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":378,"isUserFollowing":false},"createdAt":"2026-08-12T01:37:57.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Penelope: Localized Latent Recurrence for Efficient Structured Reasoning](https://huggingface.co/papers/2607.25915) (2026)\n* [Recursive Vision Language Models for General Symbolic Reasoning](https://huggingface.co/papers/2608.01534) (2026)\n* [DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning](https://huggingface.co/papers/2607.00341) (2026)\n* [J-CoT: Chain-of-Thought in J-Space](https://huggingface.co/papers/2607.21981) (2026)\n* [Learning to Refine Hidden States for Reliable LLM Reasoning](https://huggingface.co/papers/2606.17524) (2026)\n* [Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers](https://huggingface.co/papers/2606.31779) (2026)\n* [What Survives When You Compress a Recursive Reasoner for the Edge?](https://huggingface.co/papers/2606.26488) (2026)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`","html":"This is an automated message from the Librarian Bot. I found the following papers similar to this paper. \nThe following papers were recommended by the Semantic Scholar API \n\nPenelope: Localized Latent Recurrence for Efficient Structured Reasoning (2026)\nRecursive Vision Language Models for General Symbolic Reasoning (2026)\nDiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning (2026)\nJ-CoT: Chain-of-Thought in J-Space (2026)\nLearning to Refine Hidden States for Reliable LLM Reasoning (2026)\nBridging the Gap Between Latent and Explicit Reasoning with Looped Transformers (2026)\nWhat Survives When You Compress a Recursive Reasoner for the Edge? (2026)\n\n Please give a thumbs up to this comment if you found it helpful!\n If you want recommendations for any Paper on Hugging Face checkout this Space\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: @librarian-bot recommend\n","updatedAt":"2026-08-12T01:37:57.368Z","author":{"_id":"63d3e0e8ff1384ce6c5dd17d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg","fullname":"Librarian Bot...

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