Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T15:51:29.022336Z
Paper Citation Record · LEDGER
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
As of 4 August 2026, this Paper Citation Record lists 100 of 274 outbound references and 95 inbound Pith citation observations for arXiv:2412.21187.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:51:50.210041Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T11:37:03.272167Z
Reference resolution
100 of 274 outbound references displayed
- verified exact11
- verified fuzzy69
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch18
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9ee45d81-8b36-467a-b626-adbc982b2386 · outbound
This paper cites Graph of thoughts: Solving elaborate problems with large language models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Graph of thoughts: Solving elaborate problems with large language models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:30.423853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a5a8c85f-007f-4312-b530-284b87c955f2 · outbound
This paper cites Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:29.476618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a82ac9ad-c835-45a5-adda-b384f2fbc359 · outbound
This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.096184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b69b1fb7-9971-48b1-a4c3-37c08eac5d9e · outbound
This paper cites Improving factuality and reasoning in language models through multiagent debate.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Improving factuality and reasoning in language models through multiagent debate
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.100719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 586081ee-5b3e-45bf-ad1f-8250f70378c0 · outbound
This paper cites Think before you speak: Training language models with pause tokens.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Think before you speak: Training language models with pause tokens
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.110972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 33b695fe-d50f-47d4-833f-ad1d67139b82 · outbound
This paper cites Training Large Language Models to Reason in a Continuous Latent Space.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Training Large Language Models to Reason in a Continuous Latent Space
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T15:51:29.470372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b530ca2f-6aeb-4a28-82a4-05c44c23aea4 · outbound
This paper cites Improving minimum bayes risk decoding with multi-prompt.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Improving minimum bayes risk decoding with multi-prompt
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.115733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f75f5ce6-e16c-4d70-97bd-445f37791658 · outbound
This paper cites Measuring mathematical problem solving with the MATH dataset.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Measuring mathematical problem solving with the MATH dataset
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.244905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5050a9be-bdb1-456f-8f62-8d6f91990e9f · outbound
This paper cites Large language models are reasoning teachers.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Large language models are reasoning teachers
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.362239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6b4fef62-f032-42ad-b76e-2a4ddb55f5fa · outbound
This paper cites When can llms actually correct their own mistakes? a critical survey of self-correction of llms.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs When can llms actually correct their own mistakes? a critical survey of self-correction of llms
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.249376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d211d0ab-3fa3-4e98-8375-7b0ab98d682f · outbound
This paper cites Args: Alignment as reward-guided search.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Args: Alignment as reward-guided search
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.339625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ad1e4531-7843-493d-a8ed-d10c1a64ae53 · outbound
This paper cites Prover-Verifier Games improve legibility of LLM outputs.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Prover-Verifier Games improve legibility of LLM outputs
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:29.224911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d9156f8-2f5f-439a-819a-376bc7bce139 · outbound
This paper cites Large language models are zero-shot reasoners.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Large language models are zero-shot reasoners
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.280955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 25a54340-cadc-407d-8916-f191197b2cc8 · outbound
This paper cites Escape sky-high cost: Early-stopping self-consistency for multi-step reasoning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Escape sky-high cost: Early-stopping self-consistency for multi-step reasoning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.285336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4f6a8c78-69e4-4722-8f1a-799123695d08 · outbound
This paper cites Let's verify step by step.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Let's verify step by step
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.137014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4934237-0cef-47d4-8266-8f599cd14eab · outbound
This paper cites Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:29.352729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0a6d509-3014-468c-9337-4d972aa6203f · outbound
This paper cites Simpo: Simple preference optimization with a reference-free reward.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Simpo: Simple preference optimization with a reference-free reward
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.320530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 30bae8e9-2145-4e89-8614-4f3ce73f7cad · outbound
This paper cites A diverse corpus for evaluating and developing english math word problem solvers.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs A diverse corpus for evaluating and developing english math word problem solvers
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.324566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 66abe065-91bc-4a2d-aa51-1e088dffdff6 · outbound
This paper cites Learning to reason with llms.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Learning to reason with llms
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.179065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6653a67-87d9-4f82-81b2-48e04ea81b76 · outbound
This paper cites Iterative reasoning preference optimization.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Iterative reasoning preference optimization
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.214092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56c47e10-9a76-48ca-a2da-a47684b71373 · outbound
This paper cites Qwq: Reflect deeply on the boundaries of the unknown, November 2024.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Qwq: Reflect deeply on the boundaries of the unknown, November 2024
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.303556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a826e907-bf6d-402d-bc35-b0842da71dca · outbound
This paper cites Direct preference optimization: Your language model is secretly a reward model.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Direct preference optimization: Your language model is secretly a reward model
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.149229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e5de956-15cf-4c2e-a392-74dbf51a7f70 · outbound
This paper cites Alphazero-like tree-search can guide large language model decoding and training.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Alphazero-like tree-search can guide large language model decoding and training
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.332456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2a677e1f-e64f-4444-a8e3-cc9fd47e445d · outbound
This paper cites Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:29.314914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c34e016-5a13-4101-b6d0-12f1a395a105 · outbound
This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.086898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a3863dbc-a729-469b-9b23-f9b32efc8625 · outbound
This paper cites Finetuned language models are zero-shot learners.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Finetuned language models are zero-shot learners
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.014146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f34497f5-95ee-44cf-aece-159e4e25f39e · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Chain-of-thought prompting elicits reasoning in large language models
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.066139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6fad250-a192-4fd4-94d9-92487d5ebc7e · outbound
This paper cites Examining inter-consistency of large language models collaboration: An in-depth analysis via debate.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Examining inter-consistency of large language models collaboration: An in-depth analysis via debate
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.039500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation baaa20c3-a4f1-41ea-81c8-f5e7922817b0 · outbound
This paper cites Tree of thoughts: Deliberate problem solving with large language models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Tree of thoughts: Deliberate problem solving with large language models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.033888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 37f61655-6c42-4345-ac46-1cdf04ae4ed5 · outbound
This paper cites Star: Bootstrapping reasoning with reasoning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Star: Bootstrapping reasoning with reasoning
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.074586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2eae992a-d7dd-440e-a2cf-01206399f82f · outbound
This paper cites Automatic Curriculum Expert Iteration for Reliable LLM Reasoning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:29.418568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 155dd51e-d0a0-497c-b0d0-808696ba0b50 · outbound
This paper cites International Conference on Learning Representations , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs International Conference on Learning Representations , year=
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.028486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 25f8ee6f-850c-4eb8-868e-332c27673ca3 · outbound
This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , year=
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.045166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation df154638-28ea-4070-8a0d-282e4f14cd5b · outbound
This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.050486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f16ca39c-4922-4f1a-8d85-2d147308172e · outbound
This paper cites Measuring Mathematical Problem Solving With the.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Measuring Mathematical Problem Solving With the
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.070414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ff484b00-7452-4be2-90c2-0a731645bbc3 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Advances in Neural Information Processing Systems , volume=
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.081786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b857212-b140-46e7-8d81-1baf41fcb6bf · outbound
This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.394213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 457be864-3850-4bbb-a7ce-21edc9aa5793 · outbound
This paper cites European conference on machine learning , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs European conference on machine learning , pages=
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.060463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c63381a4-f347-431f-a4b0-132267a5cf76 · outbound
This paper cites Computer , volume=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Computer , volume=
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.022418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 863d0472-bdc9-4316-be06-18bafa19f135 · outbound
This paper cites QwQ: Reflect Deeply on the Boundaries of the Unknown , url =.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs QwQ: Reflect Deeply on the Boundaries of the Unknown , url =
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.091675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 14958ba0-fdb0-431c-9524-5a0e854c9da8 · outbound
This paper cites Qwen2 Technical Report.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Qwen2 Technical Report
Reference 58
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.449430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d4a2473a-819e-4971-862e-6c57eeeafb17 · outbound
This paper cites 2024 , howpublished =.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2024 , howpublished =
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.055246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cfe1a6af-393e-4e2e-b8f2-dee6f9727076 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 60
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.231425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation acd0e23c-a802-4c3e-889e-062bfdc57522 · outbound
This paper cites 2025 , url=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2025 , url=
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.183652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aa6368ed-1ee6-433c-a983-9a82f3ba253e · outbound
This paper cites 2005 , publisher=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2005 , publisher=
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.276509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2548ef33-0f81-4ba7-8990-79cbfdaf57eb · outbound
This paper cites Occam's razor --- Wikipedia , The Free Encyclopedia.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Occam's razor --- Wikipedia , The Free Encyclopedia
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.132858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c8e71b08-3227-4b64-b00a-9808e52c1a6d · outbound
This paper cites Algorithmic information theory --- Wikipedia , The Free Encyclopedia.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Algorithmic information theory --- Wikipedia , The Free Encyclopedia
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.263068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9040a724-5f41-4517-be7c-a05b91c4894d · outbound
This paper cites Minimum description length --- Wikipedia , The Free Encyclopedia.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Minimum description length --- Wikipedia , The Free Encyclopedia
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.347242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d34ea4e-1cbf-4bde-b045-22057f11c085 · outbound
This paper cites CoRR , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs CoRR , year=
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.123571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d748800-820d-457d-abf4-c814ea78cda9 · outbound
This paper cites 2024 , editor =.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2024 , editor =
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.316032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc4504ed-2426-490d-bac0-788cc9702230 · outbound
This paper cites Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:29.496507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d18b4be-ecda-4ecb-abcb-f36efa44f133 · outbound
This paper cites 2024 , eprint=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2024 , eprint=
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.209678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5a0d80dd-873a-4727-b871-8b48a37d874d · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs The Twelfth International Conference on Learning Representations , year=
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.254470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 114f5dd6-6d22-4571-9e0c-2b118ca0aa12 · outbound
This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T06:38:37.536547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 29985c99-166d-49c3-9ac2-c18dbd9e702c · outbound
This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Reference 72
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.273092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation afdf5663-32e6-4087-a5a3-52335bf41784 · outbound
This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.284994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1fb14e3a-9f2b-4f97-9a3d-0421d5036db0 · outbound
This paper cites Making Language Models Better Reasoners with Step-Aware Verifier.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Making Language Models Better Reasoners with Step-Aware Verifier
Reference 74
- Resolution
- verified exact
- doi, observed 2026-05-13T15:51:29.182712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f1df464-2883-4c90-9032-7f45bf55b909 · outbound
This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.308067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cfe1276c-e95d-435b-8e78-a67bf88eadf4 · outbound
This paper cites Let's reward step by step: Step-Level reward model as the Navigators for Reasoning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Let's reward step by step: Step-Level reward model as the Navigators for Reasoning
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:29.346680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36d35aee-61a0-47ff-a0b7-7bfb4e7d1930 · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.198030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d2a81a8f-fc16-4ec8-a5f0-e84c9e337a3a · outbound
This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Reference 78
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T20:53:45.995574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5bb0c464-576e-4261-a2fe-4de3dfcd1e71 · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.358393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b38d08de-bd9c-4d94-b58e-c1a59bffde19 · outbound
This paper cites C ritic B ench: Benchmarking LLM s for Critique-Correct Reasoning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs C ritic B ench: Benchmarking LLM s for Critique-Correct Reasoning
Reference 80
- Resolution
- verified exact
- doi, observed 2026-05-13T15:51:29.188352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e73516e-3f9f-4fa4-91f2-75b242b20117 · outbound
This paper cites 2024 , editor =.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2024 , editor =
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.343436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b48864d-5bf9-4675-9fed-d64c95645dca · outbound
This paper cites Solving math word problems with process- and outcome-based feedback.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Solving math word problems with process- and outcome-based feedback
Reference 82
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.436100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e7ffcc27-666a-477a-b215-50647216c90d · outbound
This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs V-STaR: Training Verifiers for Self-Taught Reasoners
Reference 83
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:29.464238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0e71e76a-94cb-4b5e-8f92-4aafb362f1a6 · outbound
This paper cites 2023 , eprint=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2023 , eprint=
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.128219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 047eaa0a-80d8-49c0-89ce-69bfc9dfa299 · outbound
This paper cites The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24 , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24 , year=
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.157733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a3d0e407-6e83-4150-b956-d5847f0b492e · outbound
This paper cites 2023 , url=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2023 , url=
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.187395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9113e954-2cad-4381-b676-407c0075bc48 · outbound
This paper cites European conference on machine learning , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs European conference on machine learning , pages=
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:52:57.105326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 547c4f5f-6ffd-45f1-9c91-fac1ba3bd1f3 · outbound
This paper cites Step-level Value Preference Optimization for Mathematical Reasoning.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Step-level Value Preference Optimization for Mathematical Reasoning
Reference 88
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:29.518054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 13aaf7dd-b274-48a4-b322-3b491ec8eaf1 · outbound
This paper cites 2023 , html =.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2023 , html =
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.522751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c35be5d-6b58-4778-ab8a-7cbffc8aa8fd · outbound
This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.527515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eac58ad2-1686-4039-a336-b549b21fd3a9 · outbound
This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.531775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d3372bee-37cc-41de-a8a1-703ccd74582d · outbound
This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.535876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8693e1fd-4e00-4f4c-bae0-f54d4c194a2d · outbound
This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.540222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 962f8ef8-e6aa-421e-b6a2-b32236d6b4a7 · outbound
This paper cites Journal of Machine Learning Research , volume=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Journal of Machine Learning Research , volume=
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.544544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 02d6c0ff-be42-4875-b49f-8ed641d757af · outbound
This paper cites Rationale-Augmented Ensembles in Language Models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Rationale-Augmented Ensembles in Language Models
Reference 95
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:29.303262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0ff8f2dc-c5b6-4e7f-87be-69bdf58cabf3 · outbound
This paper cites OPT: Open Pre-trained Transformer Language Models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs OPT: Open Pre-trained Transformer Language Models
Reference 96
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.308740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4de4033-b5d8-4961-bfc6-2b64425f309e · outbound
This paper cites an unresolved cited work.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Unresolved cited work
Reference 97
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T15:51:29.549083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3eed9caa-d62a-4996-8955-6aaad255b6c0 · outbound
This paper cites The Llama 3 Herd of Models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs The Llama 3 Herd of Models
Reference 98
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.332870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 432a4108-a021-480a-8b91-6ffc96570c86 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs LLaMA: Open and Efficient Foundation Language Models
Reference 99
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.339442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fc520a34-3e4b-4b20-93a6-58ae4ff3a287 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.554101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0100b7b9-3115-495b-a1e6-a5027a97c429 · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs The Eleventh International Conference on Learning Representations , year=
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.558794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8dc2b75a-e0b7-407e-b709-fa0184805202 · outbound
This paper cites International Conference on Machine Learning , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs International Conference on Machine Learning , pages=
Reference 102
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.563099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c5ceb1d3-fed3-4542-a26e-2cd07ee2b8d1 · outbound
This paper cites Boosted Prompt Ensembles for Large Language Models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Boosted Prompt Ensembles for Large Language Models
Reference 103
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:29.382787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9761b210-ae15-4637-a584-93897472d4bf · outbound
This paper cites Findings of the Association for Computational Linguistics: NAACL 2024 , pages=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Findings of the Association for Computational Linguistics: NAACL 2024 , pages=
Reference 104
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.567585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 748cca91-3f04-4dbb-b0b7-f1d96ffa009e · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs The Eleventh International Conference on Learning Representations , year=
Reference 105
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.573733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 240c9002-83cc-4348-b1c2-b8b9aac1eb21 · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs The Eleventh International Conference on Learning Representations , year=
Reference 106
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.578779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1c35a64b-456f-419b-b021-b26e6d90ccc0 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 107
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.430255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e22cacbf-e5e9-4193-be3a-3f426a67ab89 · outbound
This paper cites ArXiv , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs ArXiv , year=
Reference 108
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.583361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4e8c8842-483f-4032-a463-587fe27780c2 · outbound
This paper cites an unresolved cited work.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Unresolved cited work
Reference 109
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T15:51:29.587383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0b43aa93-e4e6-438d-889b-98c032c70d21 · outbound
This paper cites Language Models are Few-Shot Learners , url =.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Language Models are Few-Shot Learners , url =
Reference 110
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.591945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 019c6e5a-9d40-4035-8c5d-7ab5d0bab11c · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs The Eleventh International Conference on Learning Representations , year=
Reference 111
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.595539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6697f781-2796-4b39-bb25-9755005b6248 · outbound
This paper cites 2020 , eprint=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs 2020 , eprint=
Reference 112
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.598916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d53c28a-99b2-4957-9038-6c130c5f8852 · outbound
This paper cites Advances in neural information processing systems , volume=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Advances in neural information processing systems , volume=
Reference 113
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.602692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 19bead19-f08d-4ee0-b983-ae7d91540515 · outbound
This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 114
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T15:51:29.502469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 95d34cb4-cc34-4d1c-b590-c1067d1ebeb8 · outbound
This paper cites Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
Reference 115
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:29.509284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6903032c-61f8-4146-98db-fadeb0e1547c · outbound
This paper cites The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24 , year=.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs The 4th Workshop on Mathematical Reasoning and AI at NeurIPS'24 , year=
Reference 116
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T15:51:29.606644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dbb066f1-98e7-43fe-bf8a-e72f3c266edb · outbound
This paper cites CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
Reference 117
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:29.214794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 436c7b94-c4af-4879-ad9e-1465bf410e3b · inbound
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:16:04.537901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 44de7fbf-0299-4516-bfcb-a7de09b49d24 · inbound
How Does A Text Preprocessing Pipeline Affect Ontology Matching? cites this paper.
How Does A Text Preprocessing Pipeline Affect Ontology Matching? Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T17:15:43.563104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9f0f70c-a7dd-4908-904b-d89ee30a0c47 · inbound
Muon is Scalable for LLM Training cites this paper.
Muon is Scalable for LLM Training Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 76
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e3bc4185-047a-42bf-ac1c-952489925e9c · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 124
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 693e5b07-7cca-48f0-b816-fb3b36404d09 · inbound
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning cites this paper.
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T00:19:22.196152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 831eaf7d-79f9-45d1-a9da-bcfe9eb204d0 · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 106
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0b736d04-d478-4032-8438-3cfd848fabc1 · 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 Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T01:29:57.056442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b520749e-ca3f-4cc1-b3c4-9a1c407015fe · inbound
A Survey of Scaling in Large Language Model Reasoning cites this paper.
A Survey of Scaling in Large Language Model Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T21:22:09.006698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2d5c5678-3006-4d48-a05d-14ba7ab3a382 · inbound
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning cites this paper.
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T10:31:04.759798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 18113728-5cd6-4d11-a8cc-ff2aba59d8c7 · inbound
RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference cites this paper.
RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 25037d45-2a3b-4bf7-a7cd-4b3cc4fb16ba · 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 Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:10:31.502228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0963d3f6-4cb9-4b03-abc0-7e9d40548ba6 · inbound
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models cites this paper.
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T06:27:07.266123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5b72617c-b04c-4f3b-9fd0-4dae57f3093f · inbound
What Factors Affect LLMs and RLLMs in Financial Question Answering? cites this paper.
What Factors Affect LLMs and RLLMs in Financial Question Answering? Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T05:07:04.480569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 745e2af3-aa0d-479a-8f8f-37d80999a48c · inbound
ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing cites this paper.
ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T03:17:00.860664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cf5af67b-42cc-4d27-80d0-f9153b14c7c4 · inbound
Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization cites this paper.
Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T22:31:53.133174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8022d966-77f7-4dea-9770-8976a97247bc · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T00:02:25.113802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90fd3298-5194-42b6-bcda-65084ef934f4 · inbound
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models cites this paper.
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T17:56:42.066613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 864194ea-9311-43c9-857d-92a0fb357eca · inbound
Early Stopping Chain-of-thoughts in Large Language Models cites this paper.
Early Stopping Chain-of-thoughts in Large Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T22:34:24.065099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1d07536-eda7-4e9c-b93f-4a5bbdd0edfc · 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 Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:51:50.210041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed608508-2dda-4a40-ba25-11a1edd24914 · 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 Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:31:24.945425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5431cba1-235a-4696-8b7d-e14820a28d9b · inbound
Entropy After </Think> for reasoning model early exiting cites this paper.
Entropy After </Think> for reasoning model early exiting Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T11:52:35.593295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c1aef93d-48c4-4c08-8cd8-0f00c393fb43 · inbound
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation cites this paper.
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:06:13.833638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 50a72a1a-5b9f-475a-ba9c-dd249d4f83f4 · inbound
Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation cites this paper.
Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T07:01:01.710438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 366c5ef6-a61d-48e7-b371-f3c4ef7245c2 · inbound
When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models cites this paper.
When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T05:05:55.572601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f1f5401f-2aaa-4042-967c-d4b895f50141 · inbound
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework cites this paper.
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:33:43.810560Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84552ad8-5377-4238-8945-a525deb40985 · inbound
Can Large Language Models Reason About Complex Execution Paths? An Empirical Study on Python cites this paper.
Can Large Language Models Reason About Complex Execution Paths? An Empirical Study on Python Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:51:06.005534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac5ae07d-7a07-4554-bcb2-15a2561fdcd8 · inbound
Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning cites this paper.
Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:57:55.221525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e3fb94c-dff1-4e25-826c-9e4c31c1ab45 · inbound
Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers cites this paper.
Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:16:00.357318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75a2e224-6419-4b46-bc06-804320ec30b6 · inbound
ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.
ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:43:52.986454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e64b3f27-fee6-4d19-b736-82243a0f6af2 · inbound
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression cites this paper.
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T13:44:11.397533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f823bb8-2644-4fb1-b4b4-beb4b53345dd · inbound
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression cites this paper.
Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:25:21.948273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7a0d7e1-dc7c-4f37-a560-d39c6e4da41c · inbound
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:04:43.464508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1a3dee6-b9d1-4a8f-9ff3-6cb51e75f1d4 · inbound
Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning cites this paper.
Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:44:43.851066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f4b4cd8-2414-4cb1-9810-d7b6d3b87201 · inbound
SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning cites this paper.
SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e3b2393-90a8-4ea3-84f6-6ad3824b90c3 · inbound
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation cites this paper.
HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fd1cdbc2-6549-4d00-a72c-22b41e9da700 · 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 Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90538cf9-5209-448f-8a3d-92f55f7635f2 · inbound
When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models cites this paper.
When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3eff0351-bd3b-47cd-91b5-f7bc04aea742 · inbound
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 267
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f1348b64-79f3-43dc-a37e-392736cb957c · inbound
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 252
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b26bdaa9-614d-41dc-9a8d-e555650010ef · inbound
Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes cites this paper.
Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d2f50608-8daf-48c3-a6e5-47efe4965920 · 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 Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 120
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 73f16b18-c3a0-4fc1-a695-7f2e66c9d171 · inbound
How Well Do LLMs Perform on the Simplest Long-Chain Reasoning Tasks: An Empirical Study on the Equivalence Class Problem cites this paper.
How Well Do LLMs Perform on the Simplest Long-Chain Reasoning Tasks: An Empirical Study on the Equivalence Class Problem Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5e516f3c-ad6d-4590-99d6-7dcaf053f4fe · inbound
Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training cites this paper.
Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c2209b53-a6bc-4a2d-a730-e83e623e6f39 · inbound
Hint Tuning: Less Data Makes Better Reasoners cites this paper.
Hint Tuning: Less Data Makes Better Reasoners Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6bca4fc8-d654-42fa-b39b-c3fc9b1aabcf · inbound
Hint Tuning: Less Data Makes Better Reasoners cites this paper.
Hint Tuning: Less Data Makes Better Reasoners Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.066238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05e092c1-6179-4af5-88eb-c8fd5ad07e34 · inbound
Reasoning Compression with Mixed-Policy Distillation cites this paper.
Reasoning Compression with Mixed-Policy Distillation Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3cfffa00-abe6-4b12-b40f-8abed7bd1180 · inbound
LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models cites this paper.
LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 38cb4bb4-9401-4c8b-b7de-372479f51b60 · inbound
The Gordian Knot for VLMs: Diagrammatic Knot Reasoning as a Hard Benchmark cites this paper.
The Gordian Knot for VLMs: Diagrammatic Knot Reasoning as a Hard Benchmark Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef4e279b-e0cd-407a-a133-65916b51379a · inbound
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration cites this paper.
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0e28c31d-9d9f-4256-9987-a2f959d1d642 · inbound
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration cites this paper.
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:15:03.254338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f78d95bb-3636-4e04-b5e2-0210b358f48c · inbound
Efficient LLM Reasoning via Variational Posterior Guidance with Efficiency Awareness cites this paper.
Efficient LLM Reasoning via Variational Posterior Guidance with Efficiency Awareness Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b29a99f7-e1db-4f31-8a66-c9ff017c51fa · inbound
Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning cites this paper.
Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:51:30.429014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5926c518-4292-405d-81c1-9830725be20b · inbound
Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning cites this paper.
Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T06:43:05.949277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9aee66c1-e371-4964-b4fe-f8b74419ad36 · inbound
Efficient Agentic Reasoning Through Self-Regulated Simulative Planning cites this paper.
Efficient Agentic Reasoning Through Self-Regulated Simulative Planning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T06:34:40.919640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0a02b1c5-b8fe-49a1-9680-69799799f52b · inbound
How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning cites this paper.
How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-05T10:20:57.258709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8060d12e-c67e-492b-9a55-6fa94c59d864 · inbound
SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning cites this paper.
SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T22:32:44.410660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4e6f284c-6585-479a-968d-43f74d219917 · inbound
What Am I Missing? Question-Answering as Hidden State Probing cites this paper.
What Am I Missing? Question-Answering as Hidden State Probing Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T19:36:08.870161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 26018240-5578-4e66-b3c4-cf99b11cc970 · inbound
Quantized Reasoning Models Think They Need to Think Longer, but They Do Not cites this paper.
Quantized Reasoning Models Think They Need to Think Longer, but They Do Not Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T19:16:00.131404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee435a10-b645-4731-adeb-32302b7fd11c · inbound
Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs cites this paper.
Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T17:12:25.278472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb538a92-71c9-45b3-9a8d-57e266fb8f69 · inbound
Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete cites this paper.
Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 84
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T22:06:16.216462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ecf39b90-91c5-446d-8494-7c299ce59999 · inbound
Adaptive Latent Agentic Reasoning cites this paper.
Adaptive Latent Agentic Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T23:26:22.338374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a08c83bf-c2b8-453c-9c63-8599e7c17ba4 · inbound
ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning cites this paper.
ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T03:26:28.695641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6ce6c997-8adf-4283-8de5-16114529662d · inbound
DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling cites this paper.
DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T16:57:10.065388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation af67ccb2-de81-46b9-9367-4f965dee2995 · inbound
KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty cites this paper.
KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T05:47:40.988008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation beb068ec-e980-48a5-80ec-7047440f825e · inbound
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T13:00:56.032249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 862276b2-b364-45f8-b7ca-cb77b510bef0 · inbound
Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning cites this paper.
Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T13:58:22.094525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 663f9e9e-441c-44fb-bc1b-568910edaadf · inbound
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning cites this paper.
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T15:08:33.438834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation abc466d0-f8ee-44c8-9f70-7163e6e20f7f · inbound
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning cites this paper.
ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:12:17.134825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5007a34d-e995-4c72-96a1-62b99cb59e6d · inbound
Human vs Machine Mathematical Difficulty on Project Euler: An Experimental Analysis cites this paper.
Human vs Machine Mathematical Difficulty on Project Euler: An Experimental Analysis Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T08:19:44.166279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 90c68f56-1964-47bd-a181-93b7ac64475b · inbound
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction cites this paper.
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T17:15:51.572709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f5008faa-62ec-443d-aff8-1c480a625916 · inbound
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction cites this paper.
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T17:12:24.565155Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78606c6c-f03a-4bcf-a8b0-f7e1691ad09f · inbound
LASER: Load-Aware Serving with Early-Exit for Reasoning LLMs at the Edge cites this paper.
LASER: Load-Aware Serving with Early-Exit for Reasoning LLMs at the Edge Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T11:55:43.669264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d675b7d-5fdd-4051-a058-69c98975c14e · inbound
Addressing Over-Refusal in LLMs with Competing Rewards cites this paper.
Addressing Over-Refusal in LLMs with Competing Rewards Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 56
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T08:55:35.573638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e8397435-0acb-47ed-8348-42d1edf95c38 · inbound
Know When to Stop: Segment-Level Credit Assignment for Reducing Overthinking cites this paper.
Know When to Stop: Segment-Level Credit Assignment for Reducing Overthinking Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T13:36:58.565666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c166bee5-0ec9-4610-8be8-1f24edbb36ac · inbound
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models cites this paper.
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T13:26:58.150947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3d315fa4-5780-4b62-893f-c98aa9ba972c · inbound
Overthink-Triggered Slowdown Attacks on LVLM-Based Robotic Systems cites this paper.
Overthink-Triggered Slowdown Attacks on LVLM-Based Robotic Systems Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T19:58:53.670189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 02bc67ff-f3b3-4b93-a3ed-52f0f843a441 · inbound
Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.
Multi-Turn On-Policy Distillation with Prefix Replay Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 152
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T13:53:36.775836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb8dfb3c-3efb-4997-bc0d-9d7dec82d343 · inbound
Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.
Multi-Turn On-Policy Distillation with Prefix Replay Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 153
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:40:49.250422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4a74322-5fed-487d-b959-b5ec55bedc0d · inbound
A Temporal Reasoning Benchmarking Framework for LRMs via Difficulty-controlled and Dynamic Test Generation cites this paper.
A Temporal Reasoning Benchmarking Framework for LRMs via Difficulty-controlled and Dynamic Test Generation Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T13:34:00.838394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce115964-a637-4993-afd0-b9a35b5529d0 · inbound
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 105
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.671091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b4461bc-13ee-49a2-89a6-2bda15b70083 · inbound
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning cites this paper.
Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T02:35:53.856386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b3d824b-072e-4093-bcfc-d3eace0ddefc · inbound
A First-Principles Theory of Slow Thinking and Active Perception cites this paper.
A First-Principles Theory of Slow Thinking and Active Perception Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T11:37:03.273952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation adc877ab-5072-4981-9a05-dded96d433c4 · inbound
Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment cites this paper.
Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T10:27:02.470943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f26eff8c-d703-4335-b55c-57b0b5d6f5ae · inbound
Length Penalties Make Chain-of-Thought Less Monitorable cites this paper.
Length Penalties Make Chain-of-Thought Less Monitorable Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T15:45:54.532529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0eede3b-42d2-458f-aaa4-5aef9c0bb16d · inbound
Length Penalties Make Chain-of-Thought Less Monitorable cites this paper.
Length Penalties Make Chain-of-Thought Less Monitorable Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:06:10.770248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3efc6f17-67e3-4b1e-a489-4700e721431e · inbound
Length Penalties Make Chain-of-Thought Less Monitorable cites this paper.
Length Penalties Make Chain-of-Thought Less Monitorable Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:30:27.191039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6179f191-9e5f-4067-9111-a0c035bd03e0 · inbound
Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models cites this paper.
Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:01:40.938291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df3ad554-d3a8-4833-97ba-d1865c1704a3 · inbound
Constrained Path Reasoning: Measuring When Committed Stages Earn Their Cost cites this paper.
Constrained Path Reasoning: Measuring When Committed Stages Earn Their Cost Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:43:47.572850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee97af5e-1e52-49f2-9ed2-181159fc33f9 · inbound
Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning cites this paper.
Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:46:02.067733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9247485-7d83-4127-8e3d-a6f5433680ab · inbound
Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning cites this paper.
Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:57:52.525886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4682635f-18ea-4e05-af52-36b22b0d716f · 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 Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:17:40.200772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d8d6272-b4ec-4c35-b0ca-259c2c3fc1f2 · inbound
Test-Time Scaling via Error Localization cites this paper.
Test-Time Scaling via Error Localization Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:28:22.862807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45c9b49a-fb37-4dc3-a9ec-b206294a963a · inbound
Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles? cites this paper.
Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles? Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T22:05:20.643617Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1071cd9-3170-4130-b6c8-a714a4d03a1a · inbound
BLADE: Boundary-Expanded and Layer-Adaptive Dynamic Exit for Efficient LLM Reasoning cites this paper.
BLADE: Boundary-Expanded and Layer-Adaptive Dynamic Exit for Efficient LLM Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:24:38.604879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d07f6bb-1c7a-47b5-a714-0b7a0317d413 · inbound
Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning cites this paper.
Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:36:49.121574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.