{"id":"arxiv:2509.03646","title":"Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning","date":"2025-09-03","section":"Post-training","quality":-0.042926,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/","source_url":"https://arxiv.org/abs/2509.03646","text_available":true,"authors":["Haozhe Wang","Qixin Xu","Che Liu"],"outgoing":[{"source":"arxiv:2509.03646","target":"arxiv:2407.21783","evidence":"id","id":"arxiv:2407.21783","title":"The Llama 3 Herd of Models","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/de3cebb4c28bc5d41a843279f219dca14476284991ea5c7c0aeab7068a40e306/"},{"source":"arxiv:2509.03646","target":"arxiv:2503.14476","evidence":"id","id":"arxiv:2503.14476","title":"DAPO: An Open-Source LLM Reinforcement Learning System at 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Learning","offset":0,"level":1,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-1.html#text"},{"title":"Abstract","offset":74,"level":6,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-1.html#text"},{"title":"1 Introduction","offset":1399,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-1.html#text"},{"title":"2 The Emergent Reasoning Hierarchy","offset":7175,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-1.html#text"},{"title":"2.1 A Functional Proxy for the Reasoning 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Assignment","offset":19060,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-2.html#text"},{"title":"4 Experiments","offset":24035,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-2.html#text"},{"title":"4.1 Main Results","offset":25458,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-2.html#text"},{"title":"4.2 Analysis of RL’s Impact on Reasoning","offset":26178,"level":3,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-2.html#text"},{"title":"4.2.1 Mastery of Strategic Planning Unlocks Improved Reasoning during 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Work","offset":32343,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-3.html#text"},{"title":"6 Conclusions","offset":35625,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-3.html#text"},{"title":"Appendix A SG Construction","offset":36756,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-3.html#text"},{"title":"Appendix B Sensitivity Analysis of SGs","offset":36862,"level":2,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/683657af0d699b7d854ce84d95bcd53c12e152aa738c602d0982cc0d11009f08/part-3.html#text"},{"title":"Appendix C Full Training 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