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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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=sha256:424dc6c9c91840f3da48669ed597131eea27fe53dd3a116f1cad8862110f2c26

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:a4d04b6e3e07df4801accd969decabada7f7a9fe7c74c9f0410b61c4922ab463

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=sha256:4de1245ce34c0b5e8b1048d75c35af2510ccd83673f591a8e2866b19eab702b3

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:e0da542102b925f03f3b86963665201286484af7542a66bc725ba7a256ca139a

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=sha256:6736a7ed3112f3f0f9bc403812fcaee87c0f444f444b41d9f9c6967e1db9c15c

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:f230ded48d5f77e65be18d97d17dc4c104b3efe9471ac7bb0be63097c6196a67

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:d1cf803f76543ee93810651c8695e45ab43ad345e5f4ba7392fa1880588f7a07

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=sha256:3a1a4cf008fc03f6287e24b033bf714fdfad45dbed63646c5838ec3f580f3883

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:b75b71bd63c02948f476fb36f9307e62efdb62614e662c460ad7e92f4f8b234c

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=sha256:0db181ab2d4dc1c6052532caaf4a6b886f57fd66cabb38db92a714151fda505d

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=sha256:82f1467fd4f7233399e950729ca3625caa67da11efb5e1a2eee1d45a9c40154d

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=sha256:5b18f194c360559012dab28141ed15f1165081ee10a4923f4fb2ce4fb585886c

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=sha256:6e556b635b99a5ac4c4e8530e12922933768adf3a4b2a00bf1bfd7cd8ee18d25

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=sha256:773b37ac55151270c7dac79d19ade3df42706763b2be8356be4a860d1ec9adf7

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=sha256:5dc4a908ab83e68e285bac5784a799bf4024c6de4c2075ce60ac71d0316784aa

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:d8ebdc74d7a13e10122040813d21df7b58d4f824c4e4a7803cd2c5dbbde6923f

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=sha256:54f53b56734e8a2239ad508df77def1aabc4c4797e134cb11410e77f0b3b2d82

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:a3081a205d5880a880d0aa55561dd5b044b1e135127535a6492cefaeed84632d

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=sha256:17fcc8ba05484f10a0b513c11cd3a35b2c224d2446f53af4f9ce7c6688877671

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=sha256:39f76a69851c0a6ed49794e49d4e6378720f748e727d02333515ef65bbdfdfc2

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:b6715e63a9a137a54bfad0ff711e9cacde1811da2426d265b260656fd6f53945

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=sha256:480bfba88068ed0ffca071a72cf78a502e56969a184da678573adc19810b3844

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=sha256:6eee294b44ecb9e4604042317430d282bed544e8a0ca362138d2a7680e703155

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=sha256:7a775ecc0f5955b69953178b40df8450553b0352774a5f102fd17607f5bdd241

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:ecdc2add360a5ed216566081e13c0bd351d73e053c10815a25ee94c6897d830b

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=sha256:01e65da2a22e25d7791b7a30f8e71b9039966120d4d4e3284e0af45d34c587ce

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=sha256:37b83df02b3d06c047b622dd15842b4ae545650b3fe15c4c9d90df6b17cefb01

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:ff452d79dd0a105035de60866e2fe7959ee697da8382d7d029ad21a363c8f22d

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:a8f2c72b9258144c8f0f7c7d054a805e41886632daa392a14fad83735e7d6f49

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:b0027f85671ade7c8f2178c85ea5c40ffee0b60d2506926f48cd3010cd95ce94

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=sha256:24f57f7b84f48ad9f26203d7ec45fcf265fa8126e24a28c6fbf00a5ce703cffc

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:bfada2afa99a5d9f4e99d5fa98956f7d0ffdf473ea0205fc846a00615cd8c244

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=sha256:99bbc3c5df14549ca9f4b5555e363589930bce2541d65dcb0db6112226d9eb1b

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:ac128617e5500bdff8a193c5745bbcd924be2e122f7f637bce651c9be47f4f3a

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:f63bf3330dc2f49d7b2f5cb48f3325efe7b4bc15b9bdebdc25f1729414ffa101

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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source=pdf_text observed=2026-08-07T13:30:22.966069Z digest=sha256:adff1e2d9d35db291910a82bb1fd6930721520618e9caf6f56ce593431f5f8a4

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:be84227823d320e6c29e0c9645d59e61e9a49a64ecd4865235d66a4e0fdd5eaf

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:23.196052Z digest=sha256:0c8788398e9f1506de86bfe05c6f1eba5c10253c0bdad4926218ab39cdac9cef

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:23.284905Z digest=sha256:bebac9e06da5441dc57dd4cd546bd8030c31eb8896b9ce4f3e58a1636c47cbea

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:23.344954Z digest=sha256:b29829dd24f7b2206fd673dd218fcfc70fda0c0ac107880005d53a20f51cfe5e

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:dcd24e3e501791eacdd160d04919f0782a8bac75714f6ad0b1dd1ee0d5b79fcb

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=sha256:4c33dda9b49aa5afc99827a78dd32f449b00f36432783df082b131e37462c3f0

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=sha256:49d1bc6b8233d3af6aaed03fefb766983cbc99a09b7e23060d8b81aba527ce30

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=sha256:2d21a2cb4472ed8c3a343f27c271807c8dd4f65148662588b4dc29a1f44679f2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:23.824839Z digest=sha256:56fb5b4be8891bd3392e027d60060401205fb18ead7e2615ed91c2cc15046dd7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:23.940965Z digest=sha256:e0111f46194fe88619b79cb01436756426f0c6d0ce2d90b34d624218cb74ec00

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:23.981687Z digest=sha256:451ed75f898afbc353b1e9a20027917d9bd717d658acabb926662029ced0d125

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.074732Z digest=sha256:ca5d0f4250c9cbfa0052a79d91c6d5e4b0b3096c6d6942d55b406190fd37081e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.163532Z digest=sha256:3315fdd720496bb32d61fe6c0946374a2b9c227666187291c091acb8687b73d2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.221697Z digest=sha256:12bd6f31b806336c6ada6af7666d8dd02e9f325b19580710f5e01626635ed990

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.276267Z digest=sha256:8f47b44661adcfb499a51909117b3fc6e22461aabd1dcfdf7f4b9e23222e47ac

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.344652Z digest=sha256:e96a41ce7cced54ad39c4cdf10d9da0dde0180758650927240c427a56b40b544

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.514729Z digest=sha256:593767271f253a9ec0dc4630d909ad3e1142ccf78968665ff8ac5dc8e227a21e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.644796Z digest=sha256:81445456bb9fa1fc6b26c071874909a62c4442c254efb7b6a65a8e7ce35490a5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.724751Z digest=sha256:0486f859999cdc5e58e1f1cc8b1ea837b5b21e6ead45890a76b18674a7e45930

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.814751Z digest=sha256:83229d82595caf5ba1209530ec28052334990171cade52db9405693b3fb771a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:30:24.924803Z digest=sha256:17b85cf1eb6b21468512d2aa0433a1f9f9328e098e17dffbe358342863e34808

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=sha256:82174a0b0e20dd3b1df1f99d6a56c3253ef84cf70885ab4e6409d9048847c13b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:31:21.377700Z digest=sha256:3120be9a6a0308fafe82e31292210a1e8180818f11a728c3dc1f9b2bb7f3dd49