Paper Citation Record · LEDGER

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2507.00711.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.00711 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:13:13.121454Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:24:20.051022Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T05:51:08.098335Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy2
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ce28430-1447-4a20-b1cc-6df3890b4f6e · outbound

This paper cites an unresolved cited work.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:12:45.030972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96204faa-602b-40d8-8148-6bd242a9b07a · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.722979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54cf2e96-04ce-4fd7-abac-42db1f557aa2 · outbound

This paper cites Critique-out-Loud Reward Models.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Critique-out-Loud Reward Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.739806Z

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Unavailable: canonical work link unavailable.

Observation afe36068-81f1-4725-be62-bd3f6346308b · outbound

This paper cites Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.754676Z

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Unavailable: canonical work link unavailable.

Observation b140e735-dc0f-4d79-acd9-c8039dcdf2d8 · outbound

This paper cites CodePlan: Repository-level Coding using LLMs and Planning.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories CodePlan: Repository-level Coding using LLMs and Planning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.780233Z

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Unavailable: canonical work link unavailable.

Observation 27a800bb-65c4-4fa6-ae2a-48e29170def8 · outbound

This paper cites an unresolved cited work.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:14.006360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28e052de-9fed-4c6e-8f18-652c624f2982 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.810430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e92626-dde2-4ddb-87fd-6ed17f0d0c79 · outbound

This paper cites Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.820950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40829b0d-c122-4f7c-90c6-6caa63f73831 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.829504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a7d6db-5477-4974-9125-92b73594a13a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.842189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e77101-b6ba-4207-bf9b-8c9ccf225721 · outbound

This paper cites Transcoders Find Interpretable LLM Feature Circuits.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Transcoders Find Interpretable LLM Feature Circuits

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.849806Z

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Unavailable: canonical work link unavailable.

Observation 286efa0d-5526-4a3c-879d-0ff2fbc83719 · outbound

This paper cites Interpretable Contrastive Monte Carlo Tree Search Reasoning.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Interpretable Contrastive Monte Carlo Tree Search Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.856172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c480f1c5-9c68-4f25-9b8e-77c4d3e525d8 · outbound

This paper cites T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.864750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ceaeb7e-002e-4659-9f89-320e7d1bfcba · outbound

This paper cites LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.873393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b71181-3b55-44b3-9e09-d7e19684da4b · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.896156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ea5ab97-a966-4569-b43e-1040cb7710ba · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.903707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da248f8f-3eb0-4973-a573-60992ab917bf · outbound

This paper cites an unresolved cited work.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.912119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07a0e4b0-5561-4412-bd97-e5488e71df49 · outbound

This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:13.934844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8982f4d3-cdaf-442a-8f71-4c6e704d8f9a · outbound

This paper cites Reasoning Models Can Be Effective Without Thinking.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Reasoning Models Can Be Effective Without Thinking

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.934750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97966a76-53d8-4352-83d2-13ade9108578 · outbound

This paper cites s1: Simple test-time scaling.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories s1: Simple test-time scaling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.943940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3ff820c-9dc1-4636-ba4b-cad3612ee30f · outbound

This paper cites an unresolved cited work.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.861666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2a09a0e-f022-4ddd-82f0-b58aeceb7866 · outbound

This paper cites an unresolved cited work.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.787663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8a169c1-74fa-4ee8-b01a-005438ee54b1 · outbound

This paper cites an unresolved cited work.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.715774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ca0d123-1808-4516-9361-94dde4e34aa5 · outbound

This paper cites Group Robust Preference Optimization in Reward-free RLHF.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Group Robust Preference Optimization in Reward-free RLHF

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.979442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3fc0a6-59c2-4f22-9ec6-c354e781314b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Proximal Policy Optimization Algorithms

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.991359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a03000-ddb6-4db8-a58a-639361ea3c9c · outbound

This paper cites Optimizing Language Models for Inference Time Objectives using Reinforcement Learning.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Optimizing Language Models for Inference Time Objectives using Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.002002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 775a8845-ebc0-4eff-818c-9e53b93e8c2e · outbound

This paper cites Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.009844Z

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Unavailable: canonical work link unavailable.

Observation 0eea2786-3587-46b6-8b5f-be4c58072569 · outbound

This paper cites LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.017038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e217cc9-f0fb-42d4-a558-6d7fcf82e397 · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.023536Z

Source-reported events for the cited work

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Observation 5c404f8c-fe45-48a9-8648-53428f96f589 · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.029610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e72b9d8a-2607-441c-8556-fd0ff6952531 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.038644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd5dae3-0522-43a6-ac4b-fe8238e94796 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.046279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f90ae4c5-9a03-4e7a-9329-81609b711af0 · outbound

This paper cites Chi, Quoc V Le, and Denny Zhou.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Chi, Quoc V Le, and Denny Zhou

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:13:13.645210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfeba1c9-4df4-465b-9e94-68c2ebfa3adc · outbound

This paper cites an unresolved cited work.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:13:13.561826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f9f34ad-ba7c-4b13-aa4e-b1ca80116534 · outbound

This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.066825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded393c9-1296-4f9d-90eb-923d45517bf6 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.072280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7acd3fa-06b0-4497-87a5-1012cee4c031 · outbound

This paper cites Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.077881Z

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Unavailable: canonical work link unavailable.

Observation 8fb864ed-aafa-4f21-baaf-9e5bd23f14f1 · outbound

This paper cites online" 'onlinestring :=.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories online" 'onlinestring :=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.092764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84031adb-6967-4cab-9ef1-9efdd79a6d42 · outbound

This paper cites write newline.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories write newline

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:13.121454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 346cb749-5c01-423c-9f43-4a55b660d881 · inbound

CLORE: Content-Level Optimization for Reasoning Efficiency cites this paper.

CLORE: Content-Level Optimization for Reasoning Efficiency Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:08.101200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb111e22-3a5f-45b7-8ec3-b659771fe20d · inbound

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models cites this paper.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:20.051022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.