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Paper Citation Record · LEDGER

Reasoning Models Can Be Effective Without Thinking

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 75 inbound Pith citation observations for arXiv:2504.09858.

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

pith.paper-citation-record.v1
2504.09858 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 75 of 75 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:45.300237Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c1a35e75-3ccf-4e87-9217-fc90902feeb3 · inbound

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

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Reasoning Models Can Be Effective Without Thinking

Reference 129

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arxiv_id, observed 2026-05-14T01:29:57.558836Z

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source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:2d8211774fac00abc2b6305050886231437d2bedce25fe3620f0da9820090ff0

Observation 16ed55dc-3d3f-4e99-8043-7c71ccfa853d · inbound

Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models cites this paper.

Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models Reasoning Models Can Be Effective Without Thinking

Reference 17

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source=pdf_text observed=2026-08-16T12:07:45.300237Z digest=sha256:3c76119427bdf1063003a23ef85c512db944ef004c7a5627fdf24018e2a5fb8d

Observation cb742e62-0dfe-40fd-8bbf-b96d43b8f2f3 · inbound

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models cites this paper.

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models Reasoning Models Can Be Effective Without Thinking

Reference 58

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source=pdf_text observed=2026-08-15T22:16:38.335563Z digest=sha256:1c06964308bfb799a5d293488d7df5389e33fcea8c35530d5e019e126abdbf5f

Observation 5c10e891-93de-49fe-8bac-466250397399 · inbound

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning cites this paper.

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning Reasoning Models Can Be Effective Without Thinking

Reference 26

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source=pdf_text observed=2026-08-15T20:51:49.330210Z digest=sha256:0b2acbac8f94da637643cdaa089a1a6635e6b283612170553620b716a01cb560

Observation 727f9d0b-9325-41f1-8d84-edcf880afdfd · inbound

Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier cites this paper.

Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier Reasoning Models Can Be Effective Without Thinking

Reference 41

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source=pdf_text observed=2026-08-15T20:49:24.120279Z digest=sha256:7fc65bd6b2c84225ff176a759a59d791adb2e536b635f99a7ed8bbd93601a961

Observation 57d132b6-6cf2-41ce-a4ae-7ec078974c89 · inbound

AdaptThink: Reasoning Models Can Learn When to Think cites this paper.

AdaptThink: Reasoning Models Can Learn When to Think Reasoning Models Can Be Effective Without Thinking

Reference 12

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source=arxiv_source observed=2026-08-15T20:21:29.321794Z digest=sha256:364f59e690d9e7b31fa37ba78c77f62ac517c7caf9c66aa5d57d42a6fbc297c4

Observation 18221697-7d26-43f3-a44c-f5c700fe9473 · inbound

ThinkSwitcher: When to Think Hard, When to Think Fast cites this paper.

ThinkSwitcher: When to Think Hard, When to Think Fast Reasoning Models Can Be Effective Without Thinking

Reference 31

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source=arxiv_source observed=2026-08-07T15:43:40.627101Z digest=sha256:55b68f744da148eb9c29dd2cc870eb5be58d819b9354205a97a77435c9d3e6b5

Observation a40f1f38-edaf-4ab6-b4b3-435222c6dbad · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Reasoning Models Can Be Effective Without Thinking

Reference 45

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source=arxiv_source observed=2026-08-07T15:36:06.259987Z digest=sha256:edf2ef9972759bfa82eb2fbadd6c6a362438907c1b94dfd1dbd1d8e4e3d55a69

Observation 084199fc-f99c-4650-a5be-b4768c0d969e · inbound

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning cites this paper.

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 41

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source=pdf_text observed=2026-08-07T15:29:14.704732Z digest=sha256:1efd3d540d9f6844facaff88fada2c30fc56cc02d3218375eb54b76ad3fcb340

Observation ed311d06-cbb6-4948-85d6-d3ed102d0f6a · inbound

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning cites this paper.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 17

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source=arxiv_source observed=2026-08-07T15:25:47.751542Z digest=sha256:5c1dfd292d940dfab6e57c38ed9d55f2c51f025a707a4d3c017e52f98a2bad58

Observation 980cb9f0-fc00-494b-a770-8158e2345308 · inbound

When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning cites this paper.

When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 7

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source=pdf_text observed=2026-08-07T15:23:03.832208Z digest=sha256:d5c79d59b53113f16fea48a6d3f380ecb8e9aba0d5c88e2ba8b9d1aa4a581ee1

Observation d28a004a-fe63-4c2f-93b0-04ce24017cd3 · inbound

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? cites this paper.

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? Reasoning Models Can Be Effective Without Thinking

Reference 13

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source=arxiv_source observed=2026-08-07T14:54:52.247884Z digest=sha256:cfdc6fb63dd2c8e4b15d581437755f5b2f81d084503b35af3c150aa8375e0913

Observation fe671993-51bb-4e8f-8410-6d07dc8d352d · inbound

Not All Tokens Are What You Need In Thinking cites this paper.

Not All Tokens Are What You Need In Thinking Reasoning Models Can Be Effective Without Thinking

Reference 14

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source=arxiv_source observed=2026-08-07T14:45:13.341265Z digest=sha256:5f5e88e6186f4fc73e4b7eb76e2a16ae7bdc48b61f4224ad66fcddd466be7cd8

Observation 53af5fe8-d11c-409e-a8dc-794ceffe5efe · inbound

Thought calibration: Efficient and confident test-time scaling cites this paper.

Thought calibration: Efficient and confident test-time scaling Reasoning Models Can Be Effective Without Thinking

Reference 6

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source=pdf_text observed=2026-08-07T14:37:22.927520Z digest=sha256:d6b494c347931a63c3645438f8daac0c7583fd94e4fb9b554ef435467ea08be3

Observation 589b9465-e882-4848-9dc0-09c161c1b77e · inbound

MMATH: A Multilingual Benchmark for Mathematical Reasoning cites this paper.

MMATH: A Multilingual Benchmark for Mathematical Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 18

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source=arxiv_source observed=2026-08-07T14:23:08.495156Z digest=sha256:fb33d711ae1949841239333c97b05153592a2b658d6c00daaa8be32d37a735df

Observation fd37c512-1417-436e-851c-aa6767c0faa7 · inbound

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective cites this paper.

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective Reasoning Models Can Be Effective Without Thinking

Reference 61

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source=pdf_text observed=2026-08-07T14:13:07.755282Z digest=sha256:5b96a1210674b081c83611dd9c15cb4bce756c527022b9e40192ecafe68a64bc

Observation 5220a4ac-2c7e-4715-b5fb-a76ae12e8438 · inbound

Reasoning LLMs are Wandering Solution Explorers cites this paper.

Reasoning LLMs are Wandering Solution Explorers Reasoning Models Can Be Effective Without Thinking

Reference 12

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source=pdf_text observed=2026-08-07T14:01:12.671564Z digest=sha256:fd223ef506529a84f985d42ae329c620abaa40b7982bf374d7c5ea9a67716f50

Observation a6947f35-87a2-46e3-a53d-f8d9265340f5 · inbound

ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge cites this paper.

ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge Reasoning Models Can Be Effective Without Thinking

Reference 9

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source=pdf_text observed=2026-08-07T13:25:57.600571Z digest=sha256:77ea009a4098ecaf12586c0361c632faebdadab8425024565af4d390e1b968ed

Observation d9f8daec-e419-4683-a770-7aee54f155c4 · inbound

PixelThink: Towards Efficient Chain-of-Pixel Reasoning cites this paper.

PixelThink: Towards Efficient Chain-of-Pixel Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 78

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source=pdf_text observed=2026-08-07T12:45:49.097448Z digest=sha256:fe2a82e88b8ea3ecd84a4c8bcace3712c875249b32b7c45e425e482a46611de3

Observation 263c395e-1ac1-487e-969c-2663dfa30520 · inbound

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time cites this paper.

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time Reasoning Models Can Be Effective Without Thinking

Reference 40

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source=arxiv_source observed=2026-08-07T12:35:42.651354Z digest=sha256:4090d61f4eff78714cdea4ebe1ec478c3e9170d9173b7f94f6648fe48cfe3a52

Observation 7da4ff0c-8659-4c4e-980a-40cfeea82993 · inbound

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models cites this paper.

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models Reasoning Models Can Be Effective Without Thinking

Reference 18

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source=arxiv_source observed=2026-08-07T10:52:43.931777Z digest=sha256:a338141a7b93aca091610d3ea3136da8dedbbb5823f63148121c8811c574e2dd

Observation bfb446df-b79e-43bf-ac83-b45f97a46b60 · inbound

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity cites this paper.

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity Reasoning Models Can Be Effective Without Thinking

Reference 41

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arxiv_id, observed 2026-05-15T16:10:31.581615Z

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source=pdf_text observed=2026-05-15T16:10:31.440921Z digest=sha256:6b01589bd1e76cf6b68d3e439f6b134c2215ca739d7797551c8cc282515bec85

Observation 8fb1ce41-8b14-42c3-a6bd-0a6c980d6d43 · inbound

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency cites this paper.

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency Reasoning Models Can Be Effective Without Thinking

Reference 23

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source=arxiv_source observed=2026-08-07T05:19:17.178916Z digest=sha256:dec8294d555d38f76b923caa34002e02bd567a2aaf497345cdef55867ca209f5

Observation ff41327e-9099-443a-b6f6-a5696b658846 · inbound

Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task cites this paper.

Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task Reasoning Models Can Be Effective Without Thinking

Reference 36

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source=pdf_text observed=2026-08-07T01:05:26.840277Z digest=sha256:3a35509ba5023c6a1dfcac2597bb00f72391329d41b6e0c13b63b46be984de82

Observation ef5c8173-da47-4bf9-8fc0-a9e6b69356dd · inbound

Steering LLM Thinking with Budget Guidance cites this paper.

Steering LLM Thinking with Budget Guidance Reasoning Models Can Be Effective Without Thinking

Reference 19

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source=pdf_text observed=2026-08-07T00:32:59.902163Z digest=sha256:868214d810cd97d59e9b06188303cdb7e3714e0958d9ebe8ab3ebf19624c1867

Observation 56a88191-5e0b-4df5-8c99-15d41922ec1c · inbound

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning cites this paper.

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning Reasoning Models Can Be Effective Without Thinking

Reference 47

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source=pdf_text observed=2026-05-14T21:46:43.955825Z digest=sha256:4e50953b288a0c6d6ff3a9d44dda99f3ffb3b0eade7d798b0ee4d7a82c68bac0

Observation a8941b35-eb1d-4f50-b36f-c5879ecd7c2c · inbound

Optimizing Length Compression in Large Reasoning Models cites this paper.

Optimizing Length Compression in Large Reasoning Models Reasoning Models Can Be Effective Without Thinking

Reference 32

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source=arxiv_source observed=2026-08-15T19:56:12.588793Z digest=sha256:d942870efe1961932e9845fa8e445216e5affee3827604b09cbc459efc567e77

Observation 157ca23f-801b-430f-8ecb-79ca607520ae · inbound

Is Long-to-Short a Free Lunch? Investigating Inconsistency and Reasoning Efficiency in LRMs cites this paper.

Is Long-to-Short a Free Lunch? Investigating Inconsistency and Reasoning Efficiency in LRMs Reasoning Models Can Be Effective Without Thinking

Reference 22

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source=pdf_text observed=2026-08-06T23:10:26.064315Z digest=sha256:de10440279e0eb2a9666b6a79b245f1e7595b57262318db664c871a5f9058775

Observation 69ba4bbf-ba5c-4e8f-8187-0bb675177a5a · inbound

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

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model Reasoning Models Can Be Effective Without Thinking

Reference 20

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source=arxiv_source observed=2026-08-06T21:45:08.793932Z digest=sha256:1ae055f9f8416b1146e74ba62478f496ad25023f045ed2fd33ec70dca211ef41

Observation 1da478a6-9f6d-4e01-841b-b91a8a429470 · inbound

IMPACT: Inflectional Morphology Probes Across Complex Typologies cites this paper.

IMPACT: Inflectional Morphology Probes Across Complex Typologies Reasoning Models Can Be Effective Without Thinking

Reference 19

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source=arxiv_source observed=2026-08-06T21:45:13.364619Z digest=sha256:552a795ac4cd4a1953fa0bb9bf9ae79c85f6e57b9de7e2d8c3847b7d6c6c6999

Observation 29ac2557-94b7-4f1d-93ed-691b3ef2bdcb · inbound

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning cites this paper.

EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 18

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source=arxiv_source observed=2026-08-06T21:25:03.572111Z digest=sha256:775cc0da78d7d432bf02b23d8b7dffe0636891e64b2fdd0a614d05e1bdf00095

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

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories cites this paper.

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

Reference 20

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source=arxiv_source observed=2026-08-06T21:13:12.934750Z digest=sha256:712980cf2f7d84a52ef4af1d2b9db192a6c08d72a2d3240dd7b40616f44c14ec

Observation 30527279-2544-4c8c-a85e-58004d65f076 · inbound

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks cites this paper.

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks Reasoning Models Can Be Effective Without Thinking

Reference 17

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source=arxiv_source observed=2026-08-06T20:43:25.267800Z digest=sha256:09a209848c3d37386ead7d861bc2fe37986ca1bb2b41060d3041b486522adbca

Observation 0fe7f0aa-ab09-4945-909e-22bae85baf89 · inbound

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs cites this paper.

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs Reasoning Models Can Be Effective Without Thinking

Reference 28

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source=pdf_text observed=2026-08-06T20:58:52.656593Z digest=sha256:57e534880cf5bbad19b2435397a737951912ee2b6d4e057d41540ebf24d06c7e

Observation b0feb14c-6fc1-4808-9154-16815dfc98a7 · inbound

CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs cites this paper.

CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs Reasoning Models Can Be Effective Without Thinking

Reference 27

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source=pdf_text observed=2026-08-06T19:16:31.333082Z digest=sha256:97e439a95230db418f2ab8f052aa7c1550da11244361a54edc64e3944f0c7a7e

Observation bcc85749-7090-4bdd-a67b-b950cb84bcdf · 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 Reasoning Models Can Be Effective Without Thinking

Reference 127

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source=arxiv_source observed=2026-08-06T17:54:17.431503Z digest=sha256:666785323e870dd9d99688a53a14d6806449be1373899d427108bb1df5f0e133

Observation 8c52a92a-bdbe-41f5-8298-c7fb10f3f786 · inbound

Hierarchical Budget Policy Optimization for Adaptive Reasoning cites this paper.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 17

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source=pdf_text observed=2026-08-06T15:31:28.526529Z digest=sha256:ddb211760cdb246a1c9e264140e6fe49fa505d028c7bc5eb17bc40bb58602a55

Observation 040d2d23-8868-452a-8f41-466916fccb9b · inbound

Hierarchical Budget Policy Optimization for Adaptive Reasoning cites this paper.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:28.578878Z digest=sha256:8349f2ae56dc0326d9a8aebcd08739db706c273d2e31ec820e046d1fb80e4735

Observation 5498e677-3537-4449-a6be-a819a8f98388 · inbound

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling cites this paper.

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling Reasoning Models Can Be Effective Without Thinking

Reference 12

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no resolver link, observed 2026-08-05T13:48:22.081867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:22.081867Z digest=sha256:acb83755e771b7e778877f79a6a32eeed4394e10db484f445d02b4632b8ef3cb

Observation 45a754e8-3b36-4c75-a15d-6adfc9f9bdc1 · inbound

Self-Aligned Reward: Towards Effective and Efficient Reasoners cites this paper.

Self-Aligned Reward: Towards Effective and Efficient Reasoners Reasoning Models Can Be Effective Without Thinking

Reference 29

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verified exact
arxiv_id, observed 2026-05-18T18:31:44.504827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-18T18:27:23.076544Z digest=sha256:c1a40a8109c2179d9afa99f300d6544f47cf31b6b607438e2773099cb8bd16db

Observation 70e97f0b-4ba5-4f3f-9655-1d5ad33354b1 · inbound

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains cites this paper.

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains Reasoning Models Can Be Effective Without Thinking

Reference 26

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no resolver link, observed 2026-08-05T00:04:00.684714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:04:00.684714Z digest=sha256:e3b12bb7e8d70379fc9833a08bf3cb00e0d4ac0626fcfe845989b90ad8e14018

Observation d0817783-adfe-40b1-973d-38c10baa4a27 · 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 Reasoning Models Can Be Effective Without Thinking

Reference 118

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unresolved
no resolver link, observed 2026-08-04T16:07:36.210573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:36.210573Z digest=sha256:306fc0e02d724c911c3736b8c10799438f210a6553c77aabc1ed365a568a2918

Observation a4c2c11c-1d38-4049-bf6f-06ab8a2860cd · inbound

AdaThink-Med: Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification cites this paper.

AdaThink-Med: Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification Reasoning Models Can Be Effective Without Thinking

Reference 14

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no resolver link, observed 2026-08-04T13:51:51.648270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:51:51.648270Z digest=sha256:014b5d2d00a70ea9cf256a65c490a0515e8468dea676c47c9fdcd2338585e97e

Observation bd67bb07-a950-4d8c-a056-e672e418e176 · inbound

Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training cites this paper.

Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training Reasoning Models Can Be Effective Without Thinking

Reference 21

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verified exact
arxiv_id, observed 2026-05-18T13:31:24.965864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-18T13:28:32.093512Z digest=sha256:dcab4454001807c5f15cad286467e29f7b7353d3f6874f2ed558dd57710d9be9

Observation 1a87b02d-0861-4e4e-a214-b71f413c224d · inbound

MixReasoning: Switching Modes to Think cites this paper.

MixReasoning: Switching Modes to Think Reasoning Models Can Be Effective Without Thinking

Reference 13

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no resolver link, observed 2026-08-04T11:16:36.544914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:16:36.544914Z digest=sha256:7050965039357c4aefe550ae44cef8807d1cba0f3426954632c7792a121da6f9

Observation b1daa010-ac7d-4994-98c6-90863aab6edd · inbound

Are Large Reasoning Models Interruptible? cites this paper.

Are Large Reasoning Models Interruptible? Reasoning Models Can Be Effective Without Thinking

Reference 19

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unresolved
no resolver link, observed 2026-08-04T10:07:52.390356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:07:52.390356Z digest=sha256:7d8755adaec8acde304bf66078b5c65af6a3eb36df6c8d90abf4e01f9b56d030

Observation 8ccadb8e-4d32-41c1-8375-c8b6c166f8c5 · inbound

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought cites this paper.

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought Reasoning Models Can Be Effective Without Thinking

Reference 15

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verified exact
arxiv_id, observed 2026-05-18T02:45:46.315829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T02:44:48.729794Z digest=sha256:e4c8cb7d69037a6fa4194ddcb94e297c381e2968ef2c446be65de5c418ec20ce

Observation b5d7741e-ba63-4853-9535-2533bf02a7a2 · inbound

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought cites this paper.

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought Reasoning Models Can Be Effective Without Thinking

Reference 15

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unresolved
no resolver link, observed 2026-08-04T07:43:10.269020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:43:10.269020Z digest=sha256:26433bc4601046f643a4d418fe40b1cb5b008b509ed82f5216c8737905a291e5

Observation 4075b873-0934-4516-b610-35fda757e967 · inbound

From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space cites this paper.

From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space Reasoning Models Can Be Effective Without Thinking

Reference 36

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verified exact
arxiv_id, observed 2026-05-11T11:41:04.068305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T12:50:57.603403Z digest=sha256:f30ef5e4120b1490e7d9f9fc9988a4f1a4920a814907529da5885e026c19876b

Observation 1b838aee-3493-4091-b6ff-850227edb18d · inbound

Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning cites this paper.

Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:11:53.402885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T07:08:32.992259Z digest=sha256:0bf8968dbe0651cf6b199bcbd4ec8350d3a6e88c768cf3fec44bf5a356ed131b

Observation ccc858e4-6bd3-45a0-8a46-a4aefc26467a · inbound

Efficient Test-Time Scaling via Temporal Reasoning Aggregation cites this paper.

Efficient Test-Time Scaling via Temporal Reasoning Aggregation Reasoning Models Can Be Effective Without Thinking

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.553213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T06:17:17.129840Z digest=sha256:753ca4896710c826837ebf7527c183ebac95fcba7517dfdc9a54c55bb27fab5c

Observation b3ae7af1-7a68-4e9c-a7a6-be48ba63baa4 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Reasoning Models Can Be Effective Without Thinking

Reference 66

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verified exact
arxiv_id, observed 2026-05-09T23:54:45.544703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:875315a3084eca1532a3759d405e36b0da457b122ff66bd10a48b67ed4390c81

Observation 6e89b824-4822-4fc4-8aac-63cbc7e7d549 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Reasoning Models Can Be Effective Without Thinking

Reference 198

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metadata mismatch
arxiv_id, observed 2026-05-11T20:06:09.067856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:89b4057e6436b110c7c53e139168e36015a5aa7b7540b7613cc267cc0259109d

Observation 7f800610-4251-473d-a87e-7f95c7edbd78 · inbound

The Coupling Tax: How Shared Token Budgets Undermine Visible Chain-of-Thought Under Fixed Output Limits cites this paper.

The Coupling Tax: How Shared Token Budgets Undermine Visible Chain-of-Thought Under Fixed Output Limits Reasoning Models Can Be Effective Without Thinking

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-11T03:30:55.702478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-11T03:29:29.491013Z digest=sha256:2f1ff105ca97fb2ef09f73c1f4e251f18bb9f62fb48add9bb614b4022f62ad87

Observation 381a65d6-d8e8-488d-993f-b6d5d26b3c47 · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Reasoning Models Can Be Effective Without Thinking

Reference 105

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metadata mismatch
arxiv_id, observed 2026-05-12T06:31:26.479144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T04:13:37.421188Z digest=sha256:bd2484b673ab185fa712eb7eab6cfb0e60b9afccc303c8256e824563e0a7f983

Observation 51a81646-7464-4822-9c15-bb755319c1e1 · inbound

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces cites this paper.

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces Reasoning Models Can Be Effective Without Thinking

Reference 11

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verified exact
arxiv_id, observed 2026-06-30T21:05:03.801140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T21:04:02.263300Z digest=sha256:7daf5e3b2ffcebf67edd8b5074352c4290247a66d2a06d604755a1bb8c52ff52

Observation d1bf3c0a-ab36-4350-b425-780c1c9e198d · inbound

Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models cites this paper.

Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models Reasoning Models Can Be Effective Without Thinking

Reference 75

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verified exact
arxiv_id, observed 2026-05-20T12:33:17.005773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T12:29:30.505761Z digest=sha256:eef60d6853c660de79fecacb334bb508703dc479094edc7703d69b30c2dd443c

Observation 9073da65-7b80-42a1-8c22-640589cab2e8 · inbound

A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation cites this paper.

A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation Reasoning Models Can Be Effective Without Thinking

Reference 103

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metadata mismatch
arxiv_id, observed 2026-05-20T05:58:05.080679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T05:57:25.521881Z digest=sha256:93f490ecad95d15419e2e758e735aa9cb23f05918ce74fd3a3e107aaf5cbcf26

Observation 6b6593ac-7a33-4718-ac21-d763513bc21a · inbound

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning cites this paper.

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-20T06:43:05.957902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T06:40:06.103206Z digest=sha256:562e189be895d6d2156bf39bd21a4d8b95961cac22df0ae15e18671ef9bdba28

Observation 0a48c7c5-d39a-44ea-81b3-4c5e3a77e02d · inbound

Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning Models cites this paper.

Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning Models Reasoning Models Can Be Effective Without Thinking

Reference 20

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verified exact
arxiv_id, observed 2026-07-01T23:36:22.518243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T14:14:42.351048Z digest=sha256:d267e7cf03aba314b2138e6571fc582737ce6ef6b7a521714e81d0388795f9f6

Observation 977a99e0-495d-45ce-8a61-167a6847f610 · inbound

ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning cites this paper.

ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning Reasoning Models Can Be Effective Without Thinking

Reference 20

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verified exact
arxiv_id, observed 2026-07-02T03:26:28.714701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T10:07:16.700499Z digest=sha256:a6461b8ae79a76b38bee790c507a192d7fe73506f7bd7de629f9a6c75856e24e

Observation 52181f17-524c-4a73-9dd4-067f64b886f5 · inbound

DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling cites this paper.

DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling Reasoning Models Can Be Effective Without Thinking

Reference 21

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verified exact
arxiv_id, observed 2026-07-02T16:57:10.071132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T22:16:01.457276Z digest=sha256:cae2fe56e10fc74bfdce34798d6cfa8590c0187f760bccc250a6b7ca1c7ced4a

Observation 2208c267-3661-479a-91fa-1ec6c1a8c73c · inbound

Dynamic Rollout Editing for Reducing Overthinking in RL-Trained Reasoning Models cites this paper.

Dynamic Rollout Editing for Reducing Overthinking in RL-Trained Reasoning Models Reasoning Models Can Be Effective Without Thinking

Reference 24

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verified exact
arxiv_id, observed 2026-06-27T01:20:20.410691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T01:19:55.164835Z digest=sha256:954f3e0c3a66e47933c48972e41847c3a0643984ff6988361513c033668d5b52

Observation f1c6d692-9843-455e-b077-8cdc77d2dba6 · inbound

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks cites this paper.

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks Reasoning Models Can Be Effective Without Thinking

Reference 46

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metadata mismatch
arxiv_id, observed 2026-07-02T18:37:16.490965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-02T18:19:43.146102Z digest=sha256:0724ba940e6b5c5b09fa866fec96ffd066618d0a80c16a4ba6b45f932561023a

Observation 0bd96a13-5519-4653-90f3-a986b948c4f6 · inbound

Structured Thoughts For Improved Reasoning And Context Pruning cites this paper.

Structured Thoughts For Improved Reasoning And Context Pruning Reasoning Models Can Be Effective Without Thinking

Reference 19

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no resolver link, observed 2026-07-14T12:08:05.502310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T12:08:05.502310Z digest=sha256:e75e524e8ec75741f3b5387228d187e230bd4df074117a6d1b45f7c53bf5217b

Observation 4864626a-6c69-4808-b54e-ddf673d031ec · inbound

Is Your Model Thinking or Just Stagnating? PUMA: Diagnosing Reasoning Pathology via Phase-Momentum Alignment cites this paper.

Is Your Model Thinking or Just Stagnating? PUMA: Diagnosing Reasoning Pathology via Phase-Momentum Alignment Reasoning Models Can Be Effective Without Thinking

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T18:49:29.028978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:49:29.028978Z digest=sha256:8e65c028f2a398f2d9aeceb99d6da6d3fc57714a9f7c473cd1c64be243abf6d2

Observation 5ef7d5cb-1cfa-4f7f-8853-ca1a94f2f450 · inbound

LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning cites this paper.

LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 30

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no resolver link, observed 2026-08-02T12:48:50.044869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:48:50.044869Z digest=sha256:f00a854bb88dd3dd30496ba0def71432554df8117a4887c6e534108834e32743

Observation 7fdbc693-ab41-4104-9c81-3107b4d03b6b · inbound

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization cites this paper.

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization Reasoning Models Can Be Effective Without Thinking

Reference 13

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unresolved
no resolver link, observed 2026-08-01T11:17:40.252219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:17:40.252219Z digest=sha256:c99b21aa1ca00d8c9e17bd2a007af852686c7c19619023237463cb88289fcdfd

Observation a6a40208-683c-44d9-a3b1-7b854ea97506 · inbound

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning cites this paper.

ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 12

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unresolved
no resolver link, observed 2026-08-03T00:54:35.342893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:54:35.342893Z digest=sha256:0d7907c12db6a7028cb1f4c86dd4f5d53b62ba17323494621844d4414f9902fb

Observation daf6ef71-fc26-4337-96b5-7ee09d8e7af0 · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability Reasoning Models Can Be Effective Without Thinking

Reference 47

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unresolved
no resolver link, observed 2026-08-03T16:55:02.579662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:55:02.579662Z digest=sha256:875847ee7a2d20fe1ceb8d8ab8200d8e53a11524a7f6a7a3fc340bb0c56c18e0

Observation c84125e7-c185-446a-877c-6374e1beaf93 · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability Reasoning Models Can Be Effective Without Thinking

Reference 58

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unresolved
no resolver link, observed 2026-08-05T04:24:56.685677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:24:56.685677Z digest=sha256:810598c54eba58fcace031e91f73f287bf203db90debcb1b1d14bee9a2b38fec

Observation 82ece181-3732-4ea9-8ecb-a90cab3e0bf5 · inbound

Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions cites this paper.

Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions Reasoning Models Can Be Effective Without Thinking

Reference 21

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unresolved
no resolver link, observed 2026-08-12T00:41:01.491586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:41:01.491586Z digest=sha256:7f8ce22b0d6a27e93e0b161905c36ba9d9e65b593ac5d06775b0ac92390d9163

Observation e503d8e4-528e-487f-9c43-5f1f235040d1 · inbound

Thinking vs. NoThinking: Towards Interpreting Reasoning Mechanisms of Large Language Models via Sparse Autoencoders cites this paper.

Thinking vs. NoThinking: Towards Interpreting Reasoning Mechanisms of Large Language Models via Sparse Autoencoders Reasoning Models Can Be Effective Without Thinking

Reference 23

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no resolver link, observed 2026-08-12T00:23:50.508557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:23:50.508557Z digest=sha256:8a4b7b612ddaad6d6599e9d6ffbe8bbdfa637f75ada6a908adb24089b72b927c

Observation 9004a401-c7d2-49cc-ba01-b07b1b464f24 · inbound

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning cites this paper.

Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T12:53:14.118396Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T12:53:14.118396Z digest=sha256:71c47cb8256f61042a498bab0cfa6200c1c1e4946f392ebe47a1197a3dbb1eb3

Observation f8de0e53-f921-45e7-a29f-b23260c30038 · inbound

Beyond Correctness: Benchmarking and Aligning Response Behaviors in Hybrid-Thinking MLLMs cites this paper.

Beyond Correctness: Benchmarking and Aligning Response Behaviors in Hybrid-Thinking MLLMs Reasoning Models Can Be Effective Without Thinking

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T23:30:44.765800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:30:44.765800Z digest=sha256:037789b93f1633b5205e8ae0b4d1642d4c8e2a7b4d4872012f349d0561be027a