Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.171387Z
Paper Citation Record · LEDGER
As of 7 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.171387Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:04:38.779777Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:46:46.304224Z
100 of 256 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5a0b7c23-477f-4df1-bd7f-313352e641ef · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey online" 'onlinestring :=
Reference 1
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Observation 5d200419-d45a-49c0-ac52-8f8ed37e6adf · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey write newline
Reference 2
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Observation fe208371-4307-450f-ae9a-f534c222f62b · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey First Finish Search: Efficient Test-Time Scaling in Large Language Models
Reference 3
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Observation 20314879-9b38-4e51-a610-17faaae1b794 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Reference 4
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 5
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Observation 6100c809-6b85-4fd1-9f0d-4929fc255032 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 6
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Observation 71c0072f-ab49-48f3-8486-0ac8865522ee · outbound
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
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Observation 2bb1d5f9-c662-4cad-8d2e-fcebadf537ef · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Reference 8
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Observation 87fc04e6-96b4-4920-a3c8-d58bfa498013 · outbound
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
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Observation 63bca234-92ea-4d95-a162-1f1c413eccf6 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 10
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Observation ad4fd6ec-3220-459d-a46e-24f94acae7ad · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 11
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Observation 96594b81-a157-4ee2-a786-af55bbae08e4 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 12
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Observation 32c443ce-0f3a-4399-93eb-8a80342e74f5 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Program Synthesis with Large Language Models
Reference 13
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Observation 2d0619af-4dfc-46c7-9c97-fdf5ee4c5e51 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Aytes, Jinheon Baek, and Sung Ju Hwang
Reference 14
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Observation c77ad4c0-4c76-47b7-8cf7-155dceb2d64e · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
Reference 15
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Observation 51aee12e-6396-45f0-b72c-0e7ca297b72f · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Reference 16
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 17
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 18
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Observation 09dbf26a-3bd2-49b6-ab64-a4838098c80e · outbound
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
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Observation 9f4e6ebd-ede7-4f4c-95a2-7cc441f33626 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition
Reference 20
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Observation 47e22f27-d737-4be9-b2e1-805d958ae1b2 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Evaluating Large Language Models Trained on Code
Reference 21
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Observation c4a21e1f-0b74-4d62-8754-b9d3b243d2d7 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training
Reference 22
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Observation 56bad3b4-13dd-468b-9fd2-31b8b13b0f57 · outbound
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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey VeriThinker: Learning to Verify Makes Reasoning Model Efficient
Reference 24
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Observation 28d1183b-85ba-4d71-bba6-7e7d7ecf7b84 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
Reference 25
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Reference 26
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Observation c7517ef2-8821-4e65-bceb-1e3c99d4c465 · outbound
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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Optimizing Length Compression in Large Reasoning Models
Reference 28
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 29
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Observation 4439fa04-21c9-49f5-9195-690462cb077b · outbound
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
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Observation 051d2c97-a989-4540-a149-7f15d6312e62 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Training Verifiers to Solve Math Word Problems
Reference 31
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 32
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Observation d24371c2-a8a9-46c0-91fc-e679b4fce704 · outbound
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
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Observation de734c04-13db-49cd-9a68-5edadd38d82b · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 34
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Observation 2c084992-182d-4f3e-88c8-5ccd9b783e3a · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 35
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Observation 95cb9dae-e09f-4b21-b4f3-6d5f198114b3 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 36
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Observation eb8ed258-ce88-41fb-9ef7-1c55b86e6cbc · outbound
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
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Observation 7f79b699-5894-46b6-a425-456a09a5a222 · outbound
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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Reference 39
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Observation 35e7fd26-2a7f-4381-8ebf-94305e2da024 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Reference 40
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Observation a04357ef-830c-4fc4-b3fa-494e9dd57aab · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Reference 41
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Reference 42
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Observation acb242c7-f4d7-45b2-b81a-5b4966a3560b · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
Reference 43
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
Reference 44
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 45
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Thinkless: LLM Learns When to Think
Reference 46
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 47
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 48
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 49
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Observation 87a3f983-2e7c-44fb-b190-219dd66e7440 · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
Reference 50
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Efficiently Scaling LLM Reasoning with Certaindex
Reference 51
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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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey How Far Are We from Optimal Reasoning Efficiency?
Reference 53
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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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 55
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Efficient Reasoning via Chain of Unconscious Thought
Reference 56
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Observation 67b2451b-8f48-45a6-8da9-256d3bd3beaf · outbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey The Llama 3 Herd of Models
Reference 57
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey OpenThoughts: Data Recipes for Reasoning Models
Reference 58
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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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Token-Budget-Aware LLM Reasoning
Reference 60
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Training Large Language Models to Reason in a Continuous Latent Space
Reference 61
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs
Reference 62
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 63
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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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Skywork Open Reasoner 1 Technical Report
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
Reference 66
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning
Reference 67
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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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Measuring Massive Multitask Language Understanding
Reference 69
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Measuring Mathematical Problem Solving With the MATH Dataset
Reference 70
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning
Reference 71
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey RouterBench: A Benchmark for Multi-LLM Routing System
Reference 72
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 73
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 74
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 76
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Unresolved cited work
Reference 77
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Editing Models with Task Arithmetic
Reference 78
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
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Reference 82
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Reference 83
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Think Only When You Need with Large Hybrid-Reasoning Models
Reference 84
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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
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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
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey The Impact of Reasoning Step Length on Large Language Models
Reference 88
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Reference 90
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Reference 91
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Reference 92
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Solving Quantitative Reasoning Problems with Language Models
Reference 93
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Steering LLM Thinking with Budget Guidance
Reference 94
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Reference 95
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Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey DynamicMind: A Tri-Mode Thinking System for Large Language Models
Reference 96
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Reference 97
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Reference 99
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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
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Reference 258
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Reference 13
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