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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2409.12183.

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

pith.paper-citation-record.v1
2409.12183 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:57:42.107933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:30.812997Z

Reference resolution

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:57:42.107933Z digest=sha256:c70a9cfaa7fb45942a7f9e82a13eb287c589049d3e25fe9644eeb7b2a86c59b0

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

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source=pdf_text observed=2026-08-07T20:52:33.212667Z digest=sha256:3932e9a571210d871805e9f88603ec99fd0da17669e24fd0bbb6ea1a2ddc2e03

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T21:11:46.405944Z digest=sha256:b3fcd94086252e1f9ecafea21f5acdaff8c3fc7ff6bc9b09ae866187c819fe21

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

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source=pdf_text observed=2026-08-07T14:40:37.243258Z digest=sha256:cce0230562ce79dc9966968e7b47b1a7fe96a5ee45f7548ad1f4dee8d153d1ad

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:18:20.394590Z digest=sha256:b21837d24a16a5eefb40259a0284f5d03bfd7279ca2f3810de3d3e7684642209

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

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source=pdf_text observed=2026-08-07T14:12:05.838650Z digest=sha256:0cc6f0e17774748022b69d52ba129efb5a11ba315c492dad860c6c40bba6ad4c

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:02:56.160760Z digest=sha256:16d029dca7554513c871787473bbbe8985c06265a66df2be29bef29106bd3ea7

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

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source=pdf_text observed=2026-08-07T13:21:20.484755Z digest=sha256:b164e43face07637a94b8a170935971ef061e4ac28248fe6b072febae3104126

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:10:43.988173Z digest=sha256:e6368a0b6ced0bcd0a6ec2d55176f1abab766070aa369908df57b408a59de6a6

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

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source=arxiv_source observed=2026-08-07T12:40:25.116324Z digest=sha256:2e7539b708027b4eca93dcdb8ea57219c44b5f59640016879b8bed44bf0af97f

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

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source=arxiv_source observed=2026-08-07T12:35:21.193528Z digest=sha256:a06ceebd93e3afe2184b1b48cb5114caf1838d1eace096d12d5b7005e2776270

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

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source=pdf_text observed=2026-08-07T12:11:11.246518Z digest=sha256:248901ccae610a5fd021fd96a58c192cd0378fa94b41dfff51b07f853bd3fd1a

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

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source=arxiv_source observed=2026-08-07T10:55:00.727234Z digest=sha256:92e91bd836049c0efd308ddfdbce857fe8e57393b2e4097d697398a885bf01b6

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

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source=arxiv_source observed=2026-08-07T06:09:18.855178Z digest=sha256:50540a1255f7511e38b2c37d159e610cecfcf50e70ec3c571629caf5a0bf0bc7

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

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

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source=pdf_text observed=2026-08-07T05:14:47.445151Z digest=sha256:733a0b8c699c37d4d054a9ca6f06f538e88b36a7237b9968ef6bb879c8e73d28

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:43:06.779316Z digest=sha256:31bcfb0a62718d0a316297a24755b5d02754c4d72cc437412d24d4c40cc85820

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:48:49.121631Z digest=sha256:d8ed14f4ddbca8f04789499ad9eca0b39c437ed360a73155970733a2d007a6f0

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

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source=pdf_text observed=2026-08-06T23:12:12.681489Z digest=sha256:ab57c7e4509899c4e32954e299e0705b37e0eeedc3e4a0424bc0add0b2c79a4e

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:11:43.718989Z digest=sha256:e34188bf58bb0ad31ef38e7e02e36be88256d45a319ca78c6bc2bf20a1b0bcf4

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:58:37.027394Z digest=sha256:dcd278c8891f0e157b0c443061ff92f025055a7e05337fabd50365f70c9a0d48

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

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source=arxiv_source observed=2026-08-06T19:32:20.753875Z digest=sha256:ed487f05c02a57dea37b4537ef6b680b8939f81855d1ea8f27cd83dd9bc96fdc

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

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source=pdf_text observed=2026-08-06T10:19:41.427423Z digest=sha256:1366e9e9870fa1f9ee2284aa1ae31883af946c1314459e975ed4ae9add16c76b

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

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source=pdf_text observed=2026-08-05T18:02:16.868458Z digest=sha256:5c2112a75d712817804348586fdc8c70d110ffd427a2e7074c253630064d6745

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

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source=pdf_text observed=2026-08-05T04:42:06.402593Z digest=sha256:184a0b5261a6302b18f197c7300d8fa4e85fd3daa2837de113dfd9c1b97f35d1

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

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source=pdf_text observed=2026-08-03T17:17:08.782106Z digest=sha256:92bef4842bc0b5d122520e9e6c22e710386fe07bae06c93264c8240b6d9b55d6

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T14:51:26.368439Z digest=sha256:5cacf8f284304ae0f599538a9e9c24ebd5b6d37d3845420cbf3f5522f6c309f0

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:01:13.350219Z digest=sha256:0817ba941007060331a230b6d78d5596b7d8fe8a911845269f34c6ad355aa5af

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:47:45.172877Z digest=sha256:dc284ada761719fbed1eaf012b390f51d77430127acc9a1502ba0e8331d1d5f7

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

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source=pdf_text observed=2026-07-12T23:25:07.784726Z digest=sha256:ffff82da28d402710e6c2636f3427a9702813f9ffe0b4b387e7b2d0d592fdb4b

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T09:01:28.605086Z digest=sha256:bf8180af8c994cc9f74ec0c9a9a363e428d410132e5df4a3ebab62c5d7b958ee

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T15:42:24.167986Z digest=sha256:fcf791bee9a6ab963fbc3517639a9b1690fd8d6cbbe02fc5e8c86f4aea916292

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T09:47:52.767727Z digest=sha256:1c26bfb10a81024e4d50415d12ed724ac97d3e2216e041fe9be9b385e31ec3a7

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

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arxiv_id, observed 2026-05-11T19:31:10.386365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T11:42:16.090162Z digest=sha256:539f47a634d9271636d7947cdb45987cead45a80d129f9ba0846781563337acc

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:53:21.920498Z digest=sha256:2fc8caa04dfe34b6127405383f61cb5d0c3a0d5ccaf927a2efa63ef536d942a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T16:49:03.046864Z digest=sha256:84efacc6e8747eb4f9791ba8964c31e36d43c1a1a3fa3523e69aa1f641c0a0c8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-25T06:14:49.430548Z digest=sha256:f812c01c1f67c16af1a719b00842ed4315655a2f014de848b169e3996297d7af

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:20:42.184829Z digest=sha256:d1a84baaecc092534a865dee27799f3c98011ce96d10fb0f66d3f31c381979ad

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T16:46:34.169875Z digest=sha256:02f30a47bbab433e705df9b45f74a03e692f557e24f2e8dc6c350ae471fd0155

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:30007eed7959f87af4d653e68b90b57e959d7a6c8795dceeec336dc31e2097b5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:42:45.567640Z digest=sha256:fe02f35e3f97626c38d9efe4d1cbf3e85c57546046fad658599bba8204d84927

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:49:43.477542Z digest=sha256:20dcf61e5fc7dc856fbf7ee807274cd44f06aefb6dab066363307a117956de59