Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T15:16:21.881919Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2607.18532.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T15:16:21.881919Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
81 of 81 outbound references displayed
External citation measurements
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Observation 33a8c4d3-bf7e-42a6-b333-a605efb0fb5e · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2023 , eprint=
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Observation cba94a23-644f-4f6c-9b5f-3a7de9259228 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Proceedings of the 41st International Conference on Machine Learning , articleno =
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Observation 9cae750f-2587-4ca1-88f3-e75583e151c8 · outbound
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Observation 6728a5c1-0b1f-4253-97c4-046d8771266b · outbound
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Observation 467d64c5-f2cd-4572-a170-e50cd354927b · outbound
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Reasoning Fine-Tuning Induces Persistent Latent Policy States 2025 , eprint=
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Observation ab57c9b8-672b-4e80-8a1e-80b946677828 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2025 , eprint=
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Reasoning Fine-Tuning Induces Persistent Latent Policy States Unresolved cited work
Reference 14
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Observation 65c73470-88b7-444d-8548-0bc050766d3f · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States and Spragins, John D
Reference 16
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Observation 481ad52a-d756-478c-8517-25952180d99c · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States On the Direction of
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Observation 57f14358-b1f0-4f17-9a2d-a3fce4a535b9 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2026 , eprint=
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Observation a4ddcdd1-beb6-48fe-8f41-19a0e287696b · outbound
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Reasoning Fine-Tuning Induces Persistent Latent Policy States and Fu, K
Reference 21
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Observation ee69454c-69e7-4093-9127-01f9b8345d97 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Neural computation , volume=
Reference 22
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Observation 4395fd2e-2538-4e89-838d-91a570e3e027 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2017 , editor =
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Observation 54220faa-9214-465a-8618-85660cb82660 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States The Fourteenth International Conference on Learning Representations , year=
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Observation 630c407c-a66f-4480-b977-196daf945a96 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Towards Understanding Fine-Tuning Mechanisms of
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Observation 9e5e1ac0-cb93-4dab-8106-9df9f2059402 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States ICLR 2025 Workshop on Building Trust in Language Models and Applications , year=
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Observation d296e457-83f4-4039-a39f-d774b220f5b7 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in
Reference 30
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Observation 50574a29-ae63-4fe4-bb1e-ffc014cf2002 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2025 , eprint=
Reference 31
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Observation 54b48bc6-6e46-434f-89c6-f4365975738d · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Workshop on Reasoning and Planning for Large Language Models , year=
Reference 32
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Observation da6c3141-549f-43aa-8ee2-91ea6bfdbea9 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps
Reference 34
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Observation a6fa5c60-3bb7-4993-83f7-8ddb32e3a250 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2021 , eprint=
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Observation f8116245-94a6-411a-bc09-21ba5fa65f8c · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2024 , eprint=
Reference 38
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Observation 53c5c773-b076-460e-994b-3049f8fac1f0 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2024 , url =
Reference 39
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Observation 61f7b793-bbd8-4996-afd4-85a667aad898 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States QwQ-32B: Embracing the Power of Reinforcement Learning , url =
Reference 42
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Observation 9d0feb81-2050-4136-93cb-a57b02161405 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2025 , eprint=
Reference 44
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Reasoning Fine-Tuning Induces Persistent Latent Policy States 2025 , eprint=
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Observation fee474c1-646b-46b4-b2c0-a875375e7dd2 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2025 , eprint=
Reference 46
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Observation 9f8cd739-d4a3-4d91-80f4-3e502332c454 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2024 , eprint=
Reference 47
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Observation c1a7d186-5f2b-4244-86a1-8d38051610ce · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2024 , month = aug, journal =
Reference 48
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Observation 225151fe-8573-4ab5-b0f2-7e6505fbcb51 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2026 , url=
Reference 49
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Observation 428c6fe0-8b92-49d3-8936-030695d31b1f · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States 2025 , url=
Reference 50
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Observation 7bb7bf73-2cc3-4f78-9efc-07ade3fe236f · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Ackerson and K
Reference 51
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Observation e88f86d1-e470-4804-b859-fb76df477f91 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Llama 3 model card
Reference 52
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Observation 44f25d29-4d44-4d87-b9ae-14a3052e1a72 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Qwen Technical Report
Reference 53
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Observation 3cbf0cc6-f2e8-4005-85a6-b52cc9a20e8a · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States On the identifiability of switching dynamical systems
Reference 54
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Observation 5218849b-2c28-4c8b-b8ee-efb2367ce13e · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Bogdan, Uzay Macar, Neel Nanda, and Arthur Conmy
Reference 55
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Observation 20f4bf1c-0488-4917-9586-2376a3cff0d4 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States A statistical physics of language model reasoning
Reference 56
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Observation 512e6320-024c-4caa-8445-8b1cf574c0ab · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States SEAL : Steerable reasoning calibration of large language models for free
Reference 57
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Observation ace043ea-d3d4-43c4-88c9-7942c4c9783b · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Training Verifiers to Solve Math Word Problems
Reference 58
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Observation 6b08b06a-9f2c-4e64-af04-aab8727a9034 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 59
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Observation 70284a98-88aa-4380-a7e5-48c4bca322a4 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Asymptotic properties of the maximum likelihood estimator in autoregressive models with markov regime
Reference 60
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Observation 77f71155-c3a6-4da7-8e08-3e46fc698976 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Variational learning for switching state-space models
Reference 61
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Observation 5eaa8c9a-8439-4081-ae5c-a8f6bb238749 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Measuring Mathematical Problem Solving With the MATH Dataset
Reference 62
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Observation 3210d02a-0435-42ce-ac1e-c12e06c530c9 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States On the direction of RLVR updates for LLM reasoning: Identification and exploitation
Reference 63
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Observation 097ff543-1f93-46fe-aa8e-85ee20435285 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 64
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Observation 2f6276b5-af19-497b-ba48-1973f23e5736 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
Reference 65
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Observation f94be62e-2ada-4fe9-8fb0-fe73221fb720 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Clue: Non-parametric verification from experience via hidden-state clustering
Reference 66
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Observation 148555f6-d956-4d39-8031-a158ce7cf927 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems
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Observation 9a20706a-5886-4b1f-98de-690212d3e067 · outbound
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Observation eb1d2b8b-99c5-40e1-8dfc-91c1afe523c8 · outbound
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Reference 70
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Observation a7fada9f-7740-45c3-aa0a-411da92ede04 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Diab, Virginia Smith, and Dawn Song
Reference 71
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Reasoning Fine-Tuning Induces Persistent Latent Policy States La, Duy M
Reference 72
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Reasoning Fine-Tuning Induces Persistent Latent Policy States Unresolved cited work
Reference 73
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Observation 105d9ba2-7d4e-4233-a7dc-a4bf246b3867 · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States Demystifying reasoning dynamics with mutual information: Thinking tokens are information peaks in LLM reasoning
Reference 74
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Reasoning Fine-Tuning Induces Persistent Latent Policy States Learnable latent embeddings for joint behavioural and neural analysis
Reference 75
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Observation b5990ec5-5c43-40ac-a081-b8e8e931a8ec · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 76
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Reference 77
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Reference 78
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Observation 68b545c0-b727-40d3-8cf8-685a9d3bdbde · outbound
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Reference 79
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Reasoning Fine-Tuning Induces Persistent Latent Policy States Towards understanding fine-tuning mechanisms of LLM s via circuit analysis
Reference 80
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Reference 81
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Reasoning Fine-Tuning Induces Persistent Latent Policy States Reasoning-Finetuning Repurposes Latent Representations in Base Models
Reference 82
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Reasoning Fine-Tuning Induces Persistent Latent Policy States Rank-1 loras encode interpretable reasoning signals
Reference 83
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Reference 84
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Observation 0548a8f8-b974-4f50-87f4-108e828d447e · outbound
Reasoning Fine-Tuning Induces Persistent Latent Policy States CTRLS : Chain-of-thought reasoning via latent state transition
Reference 85
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Reasoning Fine-Tuning Induces Persistent Latent Policy States Yakowitz and John D
Reference 86
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Reference 88
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Reasoning Fine-Tuning Induces Persistent Latent Policy States Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Reference 89
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Observation 5e8206db-ed4d-4f84-bf78-8b65574e8cf3 · outbound
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Reference 90
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Observation f0555707-067a-4fbd-964d-8e4fd93601b9 · outbound
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Reference 91
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