To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning | Paper Citation Record

Observation f2fa5ffd-aa0b-4935-a9f2-c27819f5d44a · inbound

Disentangling Memory and Reasoning Ability in Large Language Models cites this paper.

Disentangling Memory and Reasoning Ability in Large Language Models To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T16:25:36.925969Z

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Observation a566315a-084d-4a7f-b1a3-561374aeff4b · inbound

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS cites this paper.

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:13:42.295842Z

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Observation 55388511-0b8d-46f8-aaea-e614552b29ba · inbound

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge cites this paper.

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.178991Z

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Observation fd8e47ac-8e49-4e7c-863f-ec7f1c773f60 · inbound

Chumor 2.0: Towards Benchmarking Chinese Humor Understanding cites this paper.

Chumor 2.0: Towards Benchmarking Chinese Humor Understanding To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T05:18:17.120084Z

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Observation 5b5c25b4-0b85-440f-b652-98f777adcca8 · inbound

Retrieval-Based Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios cites this paper.

Retrieval-Based Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:36.527626Z

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Observation 268365f9-e234-436b-aa46-cc841d799de1 · inbound

Multimodal LLMs Can Reason about Aesthetics in Zero-Shot cites this paper.

Multimodal LLMs Can Reason about Aesthetics in Zero-Shot To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T20:16:09.628978Z

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Observation 73de6c17-37e2-4fc4-a7bc-af90c9d22653 · inbound

Perspective Transition of Large Language Models for Solving Subjective Tasks cites this paper.

Perspective Transition of Large Language Models for Solving Subjective Tasks To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:11.148033Z

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Observation 847f648e-d5ed-4783-bdfe-58db32d48d2c · inbound

When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.

When One LLM Drools, Multi-LLM Collaboration Rules To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-08T22:33:09.587714Z

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Observation a00c5da8-fd0b-49cf-a57e-ee04a4101ec3 · inbound

CoT-Valve: Length-Compressible Chain-of-Thought Tuning cites this paper.

CoT-Valve: Length-Compressible Chain-of-Thought Tuning To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T20:57:42.107933Z

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Observation 20d4ca02-ffc5-4564-a8f9-efdfbc6e8cab · inbound

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency cites this paper.

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T20:52:33.212667Z

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Observation 9e3194f2-20e0-4af6-99b2-cabc782cb5d2 · inbound

ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs cites this paper.

ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T21:12:08.334771Z

Source-reported events for the cited work

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

Observation 7290d399-1b29-42ab-bc4f-f3030c56f46e · inbound

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems cites this paper.

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:37.243258Z

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Observation f7dcd278-2feb-48e7-a904-511db8561951 · inbound

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems cites this paper.

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:20.394590Z

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Observation 1af4ea35-8f50-4e96-9435-d6db4e4915e8 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 227

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:05.838650Z

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Observation 59eae496-43f2-4f92-a190-689ab3753902 · inbound

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:56.160760Z

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Observation c824a449-c453-44d9-a3ce-d7b91e5650fd · inbound

Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO cites this paper.

Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:20.484755Z

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Observation f42e9495-07d5-43ff-a659-14d3113954da · inbound

Fostering Video Reasoning via Next-Event Prediction cites this paper.

Fostering Video Reasoning via Next-Event Prediction To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:43.988173Z

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Observation 12763add-803e-4d01-b0af-2d0cc0ac8fa8 · inbound

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability cites this paper.

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:25.116324Z

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Observation 29fa4223-63f3-4821-97be-e73f41725e14 · inbound

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion cites this paper.

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:21.193528Z

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Observation a49f86ab-8283-45b8-94eb-b111230b8b4d · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-07T12:11:11.246518Z

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Observation f9365eb3-3c7f-48e0-9950-f8fbc8c84448 · inbound

Around the World in 24 Hours: Probing LLM Knowledge of Time and Place cites this paper.

Around the World in 24 Hours: Probing LLM Knowledge of Time and Place To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:00.727234Z

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Observation e0b9de13-2f35-481f-b8e4-7fa1e17b55b8 · inbound

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models cites this paper.

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T06:09:18.855178Z

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Observation 59e55a45-8989-4177-bb30-51b3d0214426 · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.445151Z

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Observation 958c50c7-34da-4976-b1f5-a9465258e5a3 · inbound

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? cites this paper.

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:06.779316Z

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Observation 5dd96dca-3e01-46a5-b51f-2caad4dd617b · inbound

SimuPanel: A Novel Immersive Multi-Agent System to Simulate Interactive Expert Panel Discussion cites this paper.

SimuPanel: A Novel Immersive Multi-Agent System to Simulate Interactive Expert Panel Discussion To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:49.121631Z

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Observation 2e94c334-c65a-407e-8165-81a2d5cc3e25 · inbound

Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models cites this paper.

Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:12.681489Z

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Observation 08e1fc67-a40b-415c-a128-dd2d9bde2c70 · inbound

Hallucination Detection with Small Language Models cites this paper.

Hallucination Detection with Small Language Models To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.718989Z

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Observation 4d9386de-c2a1-4b62-b769-ddfa9ceb9389 · inbound

Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies cites this paper.

Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:37.027394Z

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Observation 217959ec-746d-41bb-97ce-55294accad5f · inbound

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models cites this paper.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:20.753875Z

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Observation 93a4553f-d7d6-4255-b269-9aa8b702d1d9 · inbound

Blueprint First, Model Second: A Framework for Deterministic LLM Workflow cites this paper.

Blueprint First, Model Second: A Framework for Deterministic LLM Workflow To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:41.427423Z

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Observation 7b3602e6-02ba-4a3a-93e1-5f6484d73fbf · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T18:02:16.868458Z

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Observation 8531279f-7ae6-4beb-933a-c0eb75e3c785 · inbound

Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL cites this paper.

Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T04:42:06.402593Z

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Observation 9dbe4d01-fd58-4ea7-b4f9-475b218b4844 · inbound

CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates cites this paper.

CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T17:17:08.782106Z

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Observation 523bf140-30f8-45b7-9243-161ebb2b773e · inbound

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? cites this paper.

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:53:00.625814Z

Source-reported events for the cited work

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

Observation 2a9e2185-4594-4d1c-b9f4-061d0068d8cc · inbound

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation cites this paper.

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:41:01.500506Z

Source-reported events for the cited work

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

Observation 24192235-5a0c-4241-a614-f57728bd0e6a · inbound

ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery cites this paper.

ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:05:59.768982Z

Source-reported events for the cited work

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

Observation be521402-f738-4615-8822-3770a0858c47 · inbound

ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery cites this paper.

ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T23:25:07.784726Z

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Observation aa4ccb1d-a3c0-4853-840c-14e564f0d591 · inbound

ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams cites this paper.

ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:03:25.061802Z

Source-reported events for the cited work

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

Observation 1ec9246f-ecde-4637-9c0b-58db3a68a3e7 · inbound

Rethinking Wireless Communications through Formal Mathematical AI Reasoning cites this paper.

Rethinking Wireless Communications through Formal Mathematical AI Reasoning To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 77

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:11:16.574243Z

Source-reported events for the cited work

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

Observation 77f52588-1e32-49ec-b066-580141011cc5 · inbound

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents cites this paper.

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:41:26.720469Z

Source-reported events for the cited work

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

Observation 5f55d0a2-0801-487f-b820-5fa2b7369951 · 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 To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:10.386365Z

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

Observation 75592358-6a8b-40ba-a444-2e446ace6d5a · inbound

Curriculum Learning-Guided Progressive Distillation in Large Language Models cites this paper.

Curriculum Learning-Guided Progressive Distillation in Large Language Models To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:05.817967Z

Source-reported events for the cited work

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

Observation cf01473b-96d2-4ac8-8349-3fedf40da70a · inbound

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation cites this paper.

CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:52:40.126583Z

Source-reported events for the cited work

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

Observation 3bf2edc6-08f1-47ab-b4a9-7c107e45b92a · inbound

When Do LLMs Reason? A Dynamical Systems View via Entropy Phase Transitions cites this paper.

When Do LLMs Reason? A Dynamical Systems View via Entropy Phase Transitions To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:15:23.462799Z

Source-reported events for the cited work

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

Observation 98d6d6be-d1de-41a0-93a4-e8ca1475cde3 · inbound

LoRi: Low-Rank Distillation for Implicit Reasoning cites this paper.

LoRi: Low-Rank Distillation for Implicit Reasoning To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:06:48.334464Z

Source-reported events for the cited work

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

Observation 9835ed7b-b719-42a0-940a-e6751fa32d4d · inbound

DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation cites this paper.

DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:30.814545Z

Source-reported events for the cited work

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

Observation 1fbb5e40-3802-4b1f-a2c2-5f1ed515d08b · inbound

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T10:51:16.019022Z

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Observation 386a2a21-f5f9-4ae0-9201-d03189116cb1 · inbound

Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation cites this paper.

Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T14:42:45.567640Z

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Observation 4407500d-8b5c-42bd-84c5-105ff33527f4 · inbound

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction cites this paper.

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 170

Resolution: unresolved; no resolver link, observed 2026-07-30T22:49:43.477542Z

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