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Paper Citation Record · LEDGER

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2505.21765.

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

pith.paper-citation-record.v1
2505.21765 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:24.924803Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:41.668412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:32:02.677471Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved54
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b8f8703-12d7-40de-b01d-5249f89b0677 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 1

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source=pdf_text observed=2026-08-07T13:30:19.114737Z digest=sha256:80f1efb254d46e0f4652c402c85441a57b2720dbd302c11e4e06a5950fef6dcd

Observation a19386df-43f3-4df3-9d95-f7a5c035a875 · outbound

This paper cites Training language models to reason efficiently.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Training language models to reason efficiently

Reference 2

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source=pdf_text observed=2026-08-07T13:30:19.216197Z digest=sha256:88f4853a7d50a772ef8cc920f514469e69bf1acbc3944c6fafc4562f5fd5c852

Observation 2904d3c4-744b-413a-a1f4-0ecc1135fb04 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 3

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source=pdf_text observed=2026-08-07T13:30:19.357959Z digest=sha256:efdcdf183b0d36d583a9b019216e28621b3b82562de5a3c460e82c5473a4ae49

Observation 15a1d638-2fe1-44b6-9edd-a11cc607c057 · outbound

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

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 4

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source=pdf_text observed=2026-08-07T13:30:19.440445Z digest=sha256:0e8db5831659aa4efc1f4d697484955c032fbbeef4b52ae53787d82a155d40f4

Observation ea80eec7-5a0e-46c2-9c91-2927b44cfa06 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Training Verifiers to Solve Math Word Problems

Reference 5

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source=pdf_text observed=2026-08-07T13:30:19.537066Z digest=sha256:b0412573a0cb5881e50b3a236c3664437babdc1343abeef62d9ec80e1c6f6669

Observation 79ec7da9-6ade-49f4-af82-365c2fbc742c · outbound

This paper cites Efficiently Scaling LLM Reasoning with Certaindex.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Efficiently Scaling LLM Reasoning with Certaindex

Reference 6

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source=pdf_text observed=2026-08-07T13:30:19.664239Z digest=sha256:a14cc7b335f66bd1fda3aac18ed9b8ad52dd432b8a65a537a20e08a6f1a4f7ca

Observation dfc3f859-7aef-464a-b10d-3f48afc08ade · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 7

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source=pdf_text observed=2026-08-07T13:30:19.795079Z digest=sha256:a96aa782fe4676a23c67e1cfc9acae2548293d4256623e9a33a556b286e9af16

Observation 6d678fd4-21c4-46e8-966e-95354d36fbb9 · outbound

This paper cites The Llama 3 Herd of Models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models The Llama 3 Herd of Models

Reference 8

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source=pdf_text observed=2026-08-07T13:30:19.951662Z digest=sha256:ab2a72ab58a1a1626782148901037f891f0ee0b669c7c234ab9d293b4e38acc2

Observation 22a43e7b-7e0c-4beb-94dd-ece12e2ed183 · outbound

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

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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source=pdf_text observed=2026-08-07T13:30:20.038671Z digest=sha256:2927ef010addc41e6757aaa7889e528710642a69b9a9c2fd45e442681a3f15fc

Observation e9786936-b417-49b6-9874-b1c4b52b767f · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

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source=pdf_text observed=2026-08-07T13:30:20.152266Z digest=sha256:67d7200e511978378a9455d82067f4cee5624e1e9702a0aceddea124f9e84f8e

Observation 7df68ac4-dc09-4b3a-afa3-4b866f580abd · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 11

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source=pdf_text observed=2026-08-07T13:30:20.279674Z digest=sha256:219c3e7f4384549bfc711d72640a9047d09be81a5fc3499ae926e48b249b2185

Observation 664b0189-f809-4241-bd71-173cd7e5808c · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 12

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source=pdf_text observed=2026-08-07T13:30:20.434753Z digest=sha256:55fb2c108cbd3b623c8f62e6ac498aeb46f723edd8f19dfceb12b8e1c2758616

Observation d1fdb5f0-d72c-49c6-b769-afe8beeb4a69 · outbound

This paper cites OpenAI o1 System Card.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models OpenAI o1 System Card

Reference 13

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source=pdf_text observed=2026-08-07T13:30:20.554765Z digest=sha256:6b3d19ac2b49ac68c0b3e7730d20ee0ec753b7b91a718bc304344389c346d878

Observation e45a8ccf-12e5-42c6-95a7-48140c4677eb · outbound

This paper cites Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

Reference 14

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source=pdf_text observed=2026-08-07T13:30:20.658858Z digest=sha256:38878761119ab4b0ef1c5a9f0acfe96034da86dcb4cc9e0e2abafca4e29a823a

Observation fbbc6055-bd0e-4dd7-bec4-3c346687a106 · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 15

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source=pdf_text observed=2026-08-07T13:30:20.877908Z digest=sha256:bd8e7935185ddb710e89e8ad87e97c343c98b63e4b11207204e10ccff5be57b8

Observation 444a0ca3-7c23-4db7-96d4-575993586229 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Understanding R1-Zero-Like Training: A Critical Perspective

Reference 16

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source=pdf_text observed=2026-08-07T13:30:20.958360Z digest=sha256:ac227fe4d6915df0993b718b758ea8f0609344305240320db35c3aca1b6ae04a

Observation 7930d5b2-89d2-4c08-9e9b-37fba8db1192 · outbound

This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

Reference 17

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source=pdf_text observed=2026-08-07T13:30:21.094663Z digest=sha256:7869235065dcaae520f734de3cdd81a436f2bbd2b49e70626639327bbcfe6c9a

Observation 8033e9fa-2918-4a7f-b3e8-3b78077bde47 · outbound

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

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Stoica

Reference 18

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source=pdf_text observed=2026-08-07T13:30:21.167758Z digest=sha256:64f22010e7283ddb7b1ab21baa406aee1eac099410d1c176a0e06f382a749f37

Observation 6554e561-28e9-4943-9e2d-1b36f2d12397 · outbound

This paper cites Deepseek-r1 thoughtology: Let’s< think> about llm reasoning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Deepseek-r1 thoughtology: Let’s< think> about llm reasoning

Reference 19

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source=pdf_text observed=2026-08-07T13:30:21.292409Z digest=sha256:b2377d58705cef912198695867355c9197b8ed22f575f1f6de6634979f9c8e86

Observation b5bc1118-ecc8-4e97-b855-38bde4e3c746 · outbound

This paper cites Simpo: Simple preference optimization with a reference-free reward.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Simpo: Simple preference optimization with a reference-free reward

Reference 20

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source=pdf_text observed=2026-08-07T13:30:21.393396Z digest=sha256:654d1ec8d4de48c024d7f5e8f2b1821e9e54815c528ccc090f10236a66e043d3

Observation a11afadb-1bbc-4e93-9242-8eff3ca6b616 · outbound

This paper cites A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond

Reference 21

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source=pdf_text observed=2026-08-07T13:30:21.484814Z digest=sha256:66ddae34de2496c92047747371e4b60400fff24423a93727bc813f8b2a76e30b

Observation 523b62c2-f102-40f1-9ae0-22fbd4ff1678 · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 22

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source=pdf_text observed=2026-08-07T13:30:21.577160Z digest=sha256:67f8c31360d8e0bf999b538b11093846751e61cf080c6ccb0571f15228a6bf2b

Observation 60963fd1-4ad9-4101-aa19-22fa7dd5ce32 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Proximal Policy Optimization Algorithms

Reference 23

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source=pdf_text observed=2026-08-07T13:30:21.644734Z digest=sha256:7675060603bb13bff606e1bbd72988de74897e3270c3e0c63e2bcf28a32d642b

Observation c207322a-36b1-48fc-b109-645830eca5ce · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 24

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source=pdf_text observed=2026-08-07T13:30:21.734766Z digest=sha256:612f6dcd4abfc437874bed792dcc101b7d11cc95208916e182d6ac105108b30d

Observation 29a114f4-3aec-4d2b-a081-c5f7a354966c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 25

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source=pdf_text observed=2026-08-07T13:30:21.834003Z digest=sha256:bcbf4f186da297ac9a580c8428cc75be487ded2e8ff29cacbec8b58dba14cdb8

Observation 4aee5b4b-5be9-4b2e-9bbf-e15241f36b37 · outbound

This paper cites Hawkeye:Efficient Reasoning with Model Collaboration.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Hawkeye:Efficient Reasoning with Model Collaboration

Reference 26

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source=pdf_text observed=2026-08-07T13:30:22.033784Z digest=sha256:2eabbbefa973df082d1762f8ce04bcda6f31e019d301a563d63f3c4a33ccd5e1

Observation af15bafb-1959-4d3f-83a2-c66c6480177e · outbound

This paper cites Dast: Difficulty-adaptive slow-thinking for large reasoning models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Dast: Difficulty-adaptive slow-thinking for large reasoning models

Reference 27

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source=pdf_text observed=2026-08-07T13:30:22.161837Z digest=sha256:7e8d5b5cbbeb3b03e3764f1fa2f9ea1c4c528c2f201af97aa5a48e4d7f8bd165

Observation 385586ae-f244-42d1-9655-d3f0d15c9193 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 28

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source=pdf_text observed=2026-08-07T13:30:22.244733Z digest=sha256:06b9d747a25858070a82f97861ecbf598f3c3ea6731948747abe4d82813d7156

Observation 5beb5d8b-3c9c-478b-a8ba-d84b90b714e8 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 29

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source=pdf_text observed=2026-08-07T13:30:22.331444Z digest=sha256:e51370664655dd77b696a911d6840228d0efe9d53b63a761dd1df1d5ddad444a

Observation 22f2786f-19f0-4e4e-967f-281dc6865a8b · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 30

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source=pdf_text observed=2026-08-07T13:30:22.390121Z digest=sha256:43b3edfcc1f86e4c65535567ed2955b9efa01b3b34df9f20e76d08e37cab545d

Observation 9b77bfd8-623a-45b5-9344-ff0a8a6d3cec · outbound

This paper cites Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models

Reference 31

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source=pdf_text observed=2026-08-07T13:30:22.520516Z digest=sha256:74ba0f1bd98be99cc47b7774311d154c4225d49eb2e31fc3c124adf13d8e6aae

Observation 739c4faa-0498-49b3-8c6c-4f10e60b04cc · outbound

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

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 32

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source=pdf_text observed=2026-08-07T13:30:22.644750Z digest=sha256:b7dba4a78653a3d722a3a0846d172f00ce5f3b834e0a191f39784ed76b81aba5

Observation 150f2259-1845-465d-a182-4d050a246229 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 33

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source=pdf_text observed=2026-08-07T13:30:22.701873Z digest=sha256:da1a72b852087941d1111bdd6f5814d6333630faebc6774a09aaf6192eefcf43

Observation 5d4d3d60-0489-40aa-87f3-3c3b6679e73d · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Chain-of-thought prompting elicits reasoning in large language models

Reference 34

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source=pdf_text observed=2026-08-07T13:30:22.788026Z digest=sha256:8c254f12d3f800608309bb7b6ba80d85161005c46386ea2d70e4515400797671

Observation 35c436da-ead5-49ab-9d3a-9f4b6586cbba · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 35

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source=pdf_text observed=2026-08-07T13:30:22.844861Z digest=sha256:bf9e9238db6453d5838f7f4049543be6ee6f2d002079958e0edf436982700cab

Observation 8f039778-8cbe-4d26-bb60-f9b10116127f · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 36

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no resolver link, observed 2026-08-07T13:30:22.966069Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:22.966069Z digest=sha256:4f79057a50d46c9ba4c1820e8cb41613742c0e271e5ce2690d96260d59a19484

Observation 458771fb-e203-4431-a379-8a9621bf78cd · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 37

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source=pdf_text observed=2026-08-07T13:30:23.068108Z digest=sha256:a05da6503698d751bd4255ba0f17b686c7e27543f948f6f4f8d0fe1bdc662b8a

Observation f3fe84a0-0e2b-4a03-8e18-fe37f9374e62 · outbound

This paper cites Think When You Need: Self-Adaptive Chain-of-Thought Learning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Think When You Need: Self-Adaptive Chain-of-Thought Learning

Reference 38

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no resolver link, observed 2026-08-07T13:30:23.196052Z

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source=pdf_text observed=2026-08-07T13:30:23.196052Z digest=sha256:697aebe58052927e703dd4a1f465ae31b4abff7657554ffcad4f2e5947c7ef7b

Observation 6f5b760f-1ccf-4e58-85f1-803cbcebc638 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Tree of thoughts: Deliberate problem solving with large language models

Reference 39

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no resolver link, observed 2026-08-07T13:30:23.284905Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:30:23.284905Z digest=sha256:5e254fb74006cf8a94833dba9e9415e9f7ef556a0d4455aceaf4ea42a3605df7

Observation 98bfc12d-9e4e-4fce-8d68-5fe4867c9192 · outbound

This paper cites LIMO: Less is More for Reasoning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models LIMO: Less is More for Reasoning

Reference 40

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no resolver link, observed 2026-08-07T13:30:23.344954Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:30:23.344954Z digest=sha256:9ebe7ff1f853b20c64d8749efc8e9436f1264c1032e7bb2c19624611f8c35e92

Observation 2db188be-6c91-45b7-85de-76823b3802fe · outbound

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

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 41

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no resolver link, observed 2026-08-07T13:30:23.435822Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:30:23.435822Z digest=sha256:d37c2b0eddc2d8f633092ae731bbf511bbb7db6990919c0c930ee0e6c8e6f949

Observation 506974be-a92c-4742-8ad2-f76440559575 · outbound

This paper cites Z1: Efficient Test-time Scaling with Code.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Z1: Efficient Test-time Scaling with Code

Reference 42

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no resolver link, observed 2026-08-07T13:30:23.514871Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:30:23.514871Z digest=sha256:25c489ed61ba5330fbfb122a199f5dce4a701ec892ae5816396d8dff3d117db2

Observation 9bcc08b4-3cd8-47fb-9fa7-05f0844bd60c · outbound

This paper cites Evaluating the Performance of Large Language Models on GAOKAO Benchmark.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Evaluating the Performance of Large Language Models on GAOKAO Benchmark

Reference 43

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no resolver link, observed 2026-08-07T13:30:23.638949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:23.638949Z digest=sha256:0e7e940678b0afbe469c5a7d9d0c85b4fa7ae90273a92180bbe032e276317c3c

Observation 8869e9bf-5e8f-4c08-9ff8-60a0d7774b51 · outbound

This paper cites ProcessBench: Identifying Process Errors in Mathematical Reasoning.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models ProcessBench: Identifying Process Errors in Mathematical Reasoning

Reference 44

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no resolver link, observed 2026-08-07T13:30:23.718441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:23.718441Z digest=sha256:0dec178262e1f534421eb1dcb57e4a3ae0e88c46f5d42afbb411f48353ab47ef

Observation a1124bd9-5d84-49bd-b313-9052acdde0c0 · outbound

This paper cites Hmm, I think this is enough to derive the final answer.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Hmm, I think this is enough to derive the final answer

Reference 45

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T13:30:30.293773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:23.824839Z digest=sha256:21c865bec972b13793331fc3e53fe23abed5d2f089dfab95adfd907a097e5552

Observation 22389719-2b06-4923-8662-45ed60db9a63 · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 46

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parse uncertain
raw_fallback, observed 2026-08-07T13:30:30.171860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:23.940965Z digest=sha256:4868eef5b3e7545cfa43d7b14649fc119a1863f5aa5a3cf4db1a1c351f763686

Observation d2b16576-41eb-4486-891d-42ea9ec79d09 · outbound

This paper cites "" <Clean explanation using only the kept chunks. Minimal edits for flow. End with the boxed final answer.>.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models "" <Clean explanation using only the kept chunks. Minimal edits for flow. End with the boxed final answer.>

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:30:29.945488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:23.981687Z digest=sha256:f719734e8d1ffeed549fa2ccd9c8d219980c2cdaffb368e20dd33d1d41b9f7e2

Observation 102c004f-5d86-49e0-b2c7-9cd89eb1602e · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 48

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raw_fallback, observed 2026-08-07T13:30:29.725619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.074732Z digest=sha256:9a56b4199a3b3c8afd857f2af70c4d710556d38c848f219cbb3068704e573344

Observation 4678f3c7-6d2b-4864-b939-2f070da900c8 · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 49

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unresolved
raw_fallback, observed 2026-08-07T13:30:29.624751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.163532Z digest=sha256:bfb88afe25f7d4f368a85cb6395b253e5d708c6b10e7d6d177db00324d4cf11d

Observation 29c3b2aa-8b84-48d1-b5d2-13829ae7239f · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:30:29.424812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.221697Z digest=sha256:e58cbd38070fb4ed0fdee1f972b352836d0e573152fcb3e24282c66c7cb4941e

Observation d9054618-5ada-4fa1-94bc-f9e0340f8ae0 · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 51

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unresolved
raw_fallback, observed 2026-08-07T13:30:29.212508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.276267Z digest=sha256:1f938971a8c4d5ff4b4c7fb45c9e002bce82627fd96a344a51eabf6a3c44fc71

Observation 01cffb9b-c79e-4701-9dfa-7173e3fca432 · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:30:29.035428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.344652Z digest=sha256:a10f1c3cefbd9c8c1ffb9e6bd5c36be8300ed1fe589d748c90a5eed182971712

Observation 703a2797-a883-422a-931a-df78e6f2aba6 · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:30:28.892198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.514729Z digest=sha256:7257ea65490f398e028899518106825cdbe68626f6ee8997ce1e28e7fbc7e44f

Observation 555a8c17-3e67-4526-8b7f-3d6b621b10c6 · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:30:28.744888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.644796Z digest=sha256:3c218523c55b9d53f7af7b7564ef233e4dae0489a84404379064eaf467d8165a

Observation 7bf5d0f6-a61c-4865-bf4f-eac91c2c90cb · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:30:28.633453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.724751Z digest=sha256:9e8c11c730cae28f40e3a0af8bd2f2f98c50f1f525c83ce06588917c8d532b84

Observation 28903751-1ac6-449a-8d82-160f705e681c · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:30:28.515449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.814751Z digest=sha256:4b3b86883f16be445a7f9090a03525c525d9f14f29a7bc6fa8b1f354baf12b88

Observation baa1df89-495b-46b2-b430-f4d5c3238c80 · outbound

This paper cites an unresolved cited work.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:30:28.024828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:30:24.924803Z digest=sha256:960e9cbced481a81ec42728ddc81b42babd8932a8646d4ce2fc2a3ceff088bf3

Pith citing papers

Observation 87fc04e6-96b4-4920-a3c8-d58bfa498013 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:53:41.668412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:53:41.668412Z digest=sha256:957de07e61ec576b53b54fcbc425e054bae7ec83f6b7c25193dc3d4797f537fd

Observation 2f5acdc9-dc1f-4020-92ab-bc0f061e9bc3 · inbound

Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning cites this paper.

Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:32:02.680325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T01:31:21.377700Z digest=sha256:3870dcace6ae33ef935299e1afc371f6fd40d53f5d90bb61661e2408ea989546