Paper Citation Record · LEDGER

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey

As of 14 August 2026, this Paper Citation Record lists 100 of 256 outbound references and 4 inbound Pith citation observations for arXiv:2507.09662.

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

pith.paper-citation-record.v1
2507.09662 v1

Coverage vector

measured 100 of 256 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.171387Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:04:38.779777Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:46:46.304224Z

Reference resolution

100 of 256 outbound references displayed

verified exact0
verified fuzzy0
unresolved100
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a0b7c23-477f-4df1-bd7f-313352e641ef · outbound

This paper cites online" 'onlinestring :=.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:40.698499Z

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Unavailable: canonical work link unavailable.

Observation 5d200419-d45a-49c0-ac52-8f8ed37e6adf · outbound

This paper cites write newline.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:40.761959Z

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Observation fe208371-4307-450f-ae9a-f534c222f62b · outbound

This paper cites First Finish Search: Efficient Test-Time Scaling in Large Language Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey First Finish Search: Efficient Test-Time Scaling in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:40.869843Z

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Observation 20314879-9b38-4e51-a610-17faaae1b794 · outbound

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

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:40.975747Z

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Observation d872931b-b64c-47a2-a533-49c735061549 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:41.076295Z

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Observation 6100c809-6b85-4fd1-9f0d-4929fc255032 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:41.254192Z

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Observation 71c0072f-ab49-48f3-8486-0ac8865522ee · outbound

This paper cites Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:41.436053Z

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Observation 2bb1d5f9-c662-4cad-8d2e-fcebadf537ef · outbound

This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:41.567380Z

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

This paper cites Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models.

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

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Observation 63bca234-92ea-4d95-a162-1f1c413eccf6 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:41.758287Z

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Observation ad4fd6ec-3220-459d-a46e-24f94acae7ad · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:41.840260Z

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Observation 96594b81-a157-4ee2-a786-af55bbae08e4 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:41.929511Z

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Observation 32c443ce-0f3a-4399-93eb-8a80342e74f5 · outbound

This paper cites Program Synthesis with Large Language Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Program Synthesis with Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.030840Z

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Observation 2d0619af-4dfc-46c7-9c97-fdf5ee4c5e51 · outbound

This paper cites Aytes, Jinheon Baek, and Sung Ju Hwang.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Aytes, Jinheon Baek, and Sung Ju Hwang

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.123994Z

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Observation c77ad4c0-4c76-47b7-8cf7-155dceb2d64e · outbound

This paper cites ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.240964Z

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Observation 51aee12e-6396-45f0-b72c-0e7ca297b72f · outbound

This paper cites MathArena: Evaluating LLMs on Uncontaminated Math Competitions.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey MathArena: Evaluating LLMs on Uncontaminated Math Competitions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.316942Z

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Observation 2db77673-bc70-4d40-ba64-9068e8e70c14 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.414144Z

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Observation 886a8086-8a37-47e7-b6b7-6e48c1be4dfe · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.508903Z

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Observation 09dbf26a-3bd2-49b6-ab64-a4838098c80e · outbound

This paper cites Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.595083Z

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Observation 9f4e6ebd-ede7-4f4c-95a2-7cc441f33626 · outbound

This paper cites Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.697574Z

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Observation 47e22f27-d737-4be9-b2e1-805d958ae1b2 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Evaluating Large Language Models Trained on Code

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.796824Z

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Observation c4a21e1f-0b74-4d62-8754-b9d3b243d2d7 · outbound

This paper cites The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:42.914250Z

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Observation 56bad3b4-13dd-468b-9fd2-31b8b13b0f57 · outbound

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

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:43.042949Z

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Observation 244b5332-625a-4826-9ff6-fdc1dbceba8e · outbound

This paper cites VeriThinker: Learning to Verify Makes Reasoning Model Efficient.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey VeriThinker: Learning to Verify Makes Reasoning Model Efficient

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:43.171581Z

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Observation 28d1183b-85ba-4d71-bba6-7e7d7ecf7b84 · outbound

This paper cites Compressed Chain of Thought: Efficient Reasoning Through Dense Representations.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:43.359274Z

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Observation 43790c91-5fa8-4bce-bc02-1aa8b6fb833a · outbound

This paper cites Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:43.511503Z

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Observation c7517ef2-8821-4e65-bceb-1e3c99d4c465 · outbound

This paper cites Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:43.699099Z

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Observation bc6ab941-4ace-481f-bf7d-10f787ff3438 · outbound

This paper cites Optimizing Length Compression in Large Reasoning Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Optimizing Length Compression in Large Reasoning Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:43.839273Z

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Observation 49be9cc1-e36f-4143-8382-2c618303a228 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:44.005640Z

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Observation 4439fa04-21c9-49f5-9195-690462cb077b · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:44.198240Z

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Observation 051d2c97-a989-4540-a149-7f15d6312e62 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Training Verifiers to Solve Math Word Problems

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:44.341581Z

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Observation 74290e82-c7e2-4db7-9343-e30894c3a557 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:44.475128Z

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Observation d24371c2-a8a9-46c0-91fc-e679b4fce704 · outbound

This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:44.615059Z

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Observation de734c04-13db-49cd-9a68-5edadd38d82b · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:44.817200Z

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Observation 2c084992-182d-4f3e-88c8-5ccd9b783e3a · outbound

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

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:44.986290Z

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Observation 95cb9dae-e09f-4b21-b4f3-6d5f198114b3 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:45.122698Z

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Observation eb8ed258-ce88-41fb-9ef7-1c55b86e6cbc · outbound

This paper cites From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:45.269187Z

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Observation 7f79b699-5894-46b6-a425-456a09a5a222 · outbound

This paper cites Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:45.466886Z

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Observation cf501460-914e-4ed4-90cb-128d29a74534 · outbound

This paper cites Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:45.603078Z

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Observation 35e7fd26-2a7f-4381-8ebf-94305e2da024 · outbound

This paper cites DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:45.792486Z

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Observation a04357ef-830c-4fc4-b3fa-494e9dd57aab · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:45.957328Z

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Observation 47f83da4-5200-47fe-8120-9b2d8a75cc12 · outbound

This paper cites ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:46.148845Z

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Observation acb242c7-f4d7-45b2-b81a-5b4966a3560b · outbound

This paper cites Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:46.288418Z

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Observation 7b1e292f-e86d-4cb2-80ed-e1ce78c596fc · outbound

This paper cites Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:46.429746Z

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Observation 72f9dbe2-f9a8-4967-b09e-57f50ac6cd58 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:46.648328Z

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Observation 8cc5bc8c-2fbe-4908-8efc-8ad752250969 · outbound

This paper cites Thinkless: LLM Learns When to Think.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Thinkless: LLM Learns When to Think

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:46.856179Z

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Observation bf8b5af7-bd2d-43c6-b9d2-6ab02c652ebc · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:47.067440Z

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Observation 0a333de5-9428-468c-bac6-675c8d34cbb3 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:47.267699Z

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Observation 0ad79643-2639-4ba8-aefc-9be4eb14e850 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:47.387677Z

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Observation 87a3f983-2e7c-44fb-b190-219dd66e7440 · outbound

This paper cites Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:47.566505Z

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Observation 16b6c32b-4501-4794-b2a6-2006fb004230 · outbound

This paper cites Efficiently Scaling LLM Reasoning with Certaindex.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Efficiently Scaling LLM Reasoning with Certaindex

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:47.696525Z

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Observation 32029885-2627-44ca-a02e-fa8a0510044d · outbound

This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:47.832078Z

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Observation c1c4647e-b274-4e3b-8244-f619c76f0c3b · outbound

This paper cites How Far Are We from Optimal Reasoning Efficiency?.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey How Far Are We from Optimal Reasoning Efficiency?

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:48.051608Z

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Observation c18fb6b8-1113-41c4-a018-ba9bd253fd2d · outbound

This paper cites Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:48.158659Z

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Observation 586a64b1-870b-4cfe-9015-0303166944e0 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:48.332285Z

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Observation c18b781b-5781-400b-b533-4b55f27af9bc · outbound

This paper cites Efficient Reasoning via Chain of Unconscious Thought.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Efficient Reasoning via Chain of Unconscious Thought

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:48.470130Z

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Observation 67b2451b-8f48-45a6-8da9-256d3bd3beaf · outbound

This paper cites The Llama 3 Herd of Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey The Llama 3 Herd of Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:48.676873Z

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Observation a3bbd973-0637-4ebe-965d-185f338bbaca · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey OpenThoughts: Data Recipes for Reasoning Models

Reference 58

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Observation 80b42856-a8dc-48f0-b4e3-3c11df7ae6c5 · outbound

This paper cites Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:49.044481Z

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Observation c475e668-4e9f-4785-ae17-e9edcca43f50 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Token-Budget-Aware LLM Reasoning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:49.241722Z

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Observation 518bb2ea-afd1-4603-9574-2a4106cc60ee · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Training Large Language Models to Reason in a Continuous Latent Space

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:49.430955Z

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Observation 23dcc8d3-0386-4689-951c-59336783ed0c · outbound

This paper cites DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:49.562911Z

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Observation 731ed8e6-433b-4028-8106-726d0d596df9 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:49.747267Z

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Observation ed9dcf4f-7583-4a8e-8fbb-32d5c90116b7 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:51.145958Z

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Observation 30e6b349-5ffa-4b03-9fb0-302220c965e0 · outbound

This paper cites Skywork Open Reasoner 1 Technical Report.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Skywork Open Reasoner 1 Technical Report

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:52.251439Z

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Observation 7e7a21a8-4621-49e5-9442-57a0a154703f · outbound

This paper cites Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:52.363919Z

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Observation af85c3e5-6ac5-4ac7-895e-10dc0ed2f373 · outbound

This paper cites Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:52.502812Z

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Observation d75d1d5f-8fca-4e09-ab1b-ccda58c5303b · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:52.720237Z

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Observation a9213a47-cd53-455d-bf9c-d5e072454976 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Measuring Massive Multitask Language Understanding

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:54.842488Z

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Observation 5447ad88-e402-4b96-8672-b226a34df41f · outbound

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

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Measuring Mathematical Problem Solving With the MATH Dataset

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:54.892679Z

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Observation 40aa3233-ed35-4e1a-9f4c-ac76430f94b0 · outbound

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

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:54.980836Z

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Observation 7ce0e35d-1576-4390-ad21-01f36c4dcd33 · outbound

This paper cites RouterBench: A Benchmark for Multi-LLM Routing System.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey RouterBench: A Benchmark for Multi-LLM Routing System

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.111015Z

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Observation c96aa8d3-02e4-4893-9609-bd1d7c6da9d3 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.163201Z

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Observation 1b4b4aca-d6c4-48a0-b33d-231b88897716 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.200197Z

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Observation 2abac593-2382-49a4-ac21-714f15579db6 · outbound

This paper cites Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.257867Z

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Observation 7b6e5b18-b87d-4ec9-921e-e7a58c2057fb · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.312111Z

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Observation cb882a60-0d8b-48cd-9080-4ebfe9076283 · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.348963Z

Source-reported events for the cited work

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Observation f1a2441a-650d-4995-b354-2315bee783fd · outbound

This paper cites Editing Models with Task Arithmetic.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Editing Models with Task Arithmetic

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.388924Z

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Observation ec1ece21-38b9-4b50-9bef-07ef62b29898 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.441693Z

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Observation 569a9e75-fe45-440a-850e-c3fe30892779 · outbound

This paper cites AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.523287Z

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Observation c2e345ca-a9cf-4acd-ac90-7c630980ee51 · outbound

This paper cites SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.578953Z

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Observation 6a275686-2446-4bce-88b6-789900f8e8e4 · outbound

This paper cites What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.675806Z

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Observation c7bb9b01-d0e6-49bd-a1c4-cc63e00270a8 · outbound

This paper cites FlashThink: An Early Exit Method For Efficient Reasoning.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey FlashThink: An Early Exit Method For Efficient Reasoning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.734994Z

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Observation deeda259-d89e-4528-877a-206597c2a1cf · outbound

This paper cites Think Only When You Need with Large Hybrid-Reasoning Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Think Only When You Need with Large Hybrid-Reasoning Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.825220Z

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Observation b85bafcf-12fa-4773-be6f-b943b8595e59 · outbound

This paper cites WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.883753Z

Source-reported events for the cited work

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Observation f2c8ab78-de91-4f7a-b67c-1b8bdcb28778 · outbound

This paper cites DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:55.967911Z

Source-reported events for the cited work

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Observation 521e0b49-9a84-4ec1-8268-2d14528096f6 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.665520Z

Source-reported events for the cited work

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Observation 73e17fc6-e8b1-41cd-9360-889355df89ce · outbound

This paper cites The Impact of Reasoning Step Length on Large Language Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey The Impact of Reasoning Step Length on Large Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.725850Z

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Observation c6533a2e-66b8-495e-a0f5-78258de6cca8 · outbound

This paper cites ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.766414Z

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Observation 86b70ea3-0d87-484b-ae84-2fe9f10771f6 · outbound

This paper cites C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.820007Z

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Observation e68ea4db-dfb5-4766-ac60-6e7494be64eb · outbound

This paper cites an unresolved cited work.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.893404Z

Source-reported events for the cited work

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Observation eeb2d815-694a-47a1-afe4-d495821f0d78 · outbound

This paper cites How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.926500Z

Source-reported events for the cited work

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Observation 5e71face-cb27-4ca1-baa1-71adfac923c3 · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Solving Quantitative Reasoning Problems with Language Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.964248Z

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Observation 4fa7ffbf-94a8-42f9-acc6-ca513a5a4233 · outbound

This paper cites Steering LLM Thinking with Budget Guidance.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Steering LLM Thinking with Budget Guidance

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.991909Z

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Observation 1f7ae74f-a42d-4847-bd46-4703c28619f4 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.055985Z

Source-reported events for the cited work

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Observation 7c0cc948-52aa-4765-9fc1-eb82e0bb28a1 · outbound

This paper cites DynamicMind: A Tri-Mode Thinking System for Large Language Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DynamicMind: A Tri-Mode Thinking System for Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.116472Z

Source-reported events for the cited work

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Observation 850fe3bc-5b08-4a40-863b-9137de35c69b · outbound

This paper cites Output Length Effect on DeepSeek-R1's Safety in Forced Thinking.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Output Length Effect on DeepSeek-R1's Safety in Forced Thinking

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.142549Z

Source-reported events for the cited work

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Observation 295f469a-b0ef-4505-8c58-b9efe0e55c88 · outbound

This paper cites SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.154316Z

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Observation 9f5055de-f5b5-42b8-8bc3-4c8f0321b50f · outbound

This paper cites THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.162463Z

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Observation 822f149e-6e33-47c7-9794-c105730b54fa · outbound

This paper cites TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.171387Z

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Pith citing papers

Observation 039f2c5e-7771-4517-98aa-e509f67f7d66 · inbound

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens cites this paper.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.779777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 671f6194-10a2-4574-8463-5ec909b91d45 · inbound

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T13:52:07.635896Z

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Observation 7f697a82-72ea-4cae-8cf1-7673abd13878 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey

Reference 258

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:48.912958Z

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Observation 074414b9-d065-402c-8dad-4edbcb8f6ac4 · inbound

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation cites this paper.

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:46:46.305712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.