Paper Citation Record · LEDGER

Automatic Chain of Thought Prompting in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 81 inbound Pith citation observations for arXiv:2210.03493.

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

pith.paper-citation-record.v1
2210.03493 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T10:39:16.997741Z

measured 113 of 113 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 81 of 81 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:09:18.898118Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

32 of 32 outbound references displayed

verified exact7
verified fuzzy5
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch18

External citation measurements

235
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 78377240-30c1-4c67-8c0f-8a93afd78215 · outbound

This paper cites an unresolved cited work.

Automatic Chain of Thought Prompting in Large Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-16T10:39:17.099913Z

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.

Observation 61b6134d-5f13-458d-8993-32e66520e3ab · outbound

This paper cites an unresolved cited work.

Automatic Chain of Thought Prompting in Large Language Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-16T10:39:17.090143Z

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.

Observation a16cecf2-7d00-4e27-b127-f6233eb048df · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

Automatic Chain of Thought Prompting in Large Language Models LaMDA: Language Models for Dialog Applications

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-16T10:39:17.073916Z

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.

Observation 01544e98-ef5c-4975-80d8-32e7211ad9a3 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Automatic Chain of Thought Prompting in Large Language Models PaLM: Scaling Language Modeling with Pathways

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:39:17.079695Z

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.

Observation 6e74ff5b-9170-4aad-a2a3-e4c3a8b57a37 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Automatic Chain of Thought Prompting in Large Language Models Large Language Models are Zero-Shot Reasoners

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:39:17.067719Z

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.

Observation 5d6361cd-52d8-47b2-9fb5-6ea44c2f9d2b · outbound

This paper cites doi: 10.18653/v1/D15-1202.

Automatic Chain of Thought Prompting in Large Language Models doi: 10.18653/v1/D15-1202

Reference 6

Resolution: verified exact; doi, observed 2026-05-16T10:39:17.051513Z

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.

Observation 4369558d-fb68-42b4-a557-410bbc1cf88a · outbound

This paper cites doi: 10.18653/v1/n19-1421.

Automatic Chain of Thought Prompting in Large Language Models doi: 10.18653/v1/n19-1421

Reference 7

Resolution: verified exact; doi, observed 2026-05-16T10:39:17.053555Z

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.

Observation 15cba7e9-5cae-41ab-b344-f69c52248ead · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Automatic Chain of Thought Prompting in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:39:17.076657Z

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.

Observation d5266b88-e3b0-411a-99bc-eda2753d1d41 · outbound

This paper cites Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems.

Automatic Chain of Thought Prompting in Large Language Models Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems

Reference 9

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.055499Z

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.

Observation d6d8fdcb-e6b2-46ec-b286-b5501d8f33a3 · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

Automatic Chain of Thought Prompting in Large Language Models Are NLP Models really able to Solve Simple Math Word Problems?

Reference 10

Resolution: metadata mismatch; doi, observed 2026-05-16T17:30:49.973393Z

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.

Observation 55b454aa-f389-4220-b616-958dac852bbe · outbound

This paper cites URL https://doi.org/10.1162/tacl_a_00370.

Automatic Chain of Thought Prompting in Large Language Models URL https://doi.org/10.1162/tacl_a_00370

Reference 11

Resolution: verified exact; doi, observed 2026-05-16T10:39:17.026516Z

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.

Observation a34c375e-2e54-4c94-b28c-dcb42d934fe0 · outbound

This paper cites STaR: Bootstrapping Reasoning With Reasoning.

Automatic Chain of Thought Prompting in Large Language Models STaR: Bootstrapping Reasoning With Reasoning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:39:17.064171Z

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.

Observation 14822204-4402-4ea9-bb25-879d21f35b53 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Automatic Chain of Thought Prompting in Large Language Models Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:39:17.070960Z

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.

Observation cad15272-b241-4b75-82d3-ada28f232340 · outbound

This paper cites Learning to retrieve prompts for in-context learning.

Automatic Chain of Thought Prompting in Large Language Models Learning to retrieve prompts for in-context learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T10:39:17.092258Z

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.

Observation 16eae670-7b74-42d0-885f-66d9e356d3ba · outbound

This paper cites URL https://aclanthology.org/2022.naacl-main.191.

Automatic Chain of Thought Prompting in Large Language Models URL https://aclanthology.org/2022.naacl-main.191

Reference 15

Resolution: verified exact; doi, observed 2026-05-16T10:39:17.029651Z

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.

Observation a095a952-1a48-4339-934e-59894a9998a3 · outbound

This paper cites Selective Annotation Makes Language Models Better Few-Shot Learners.

Automatic Chain of Thought Prompting in Large Language Models Selective Annotation Makes Language Models Better Few-Shot Learners

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:39:17.082652Z

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.

Observation 4a80c85a-423c-472e-beea-c560e17db3f8 · outbound

This paper cites Cross-Task Generalization via Natural Language Crowdsourcing Instructions.

Automatic Chain of Thought Prompting in Large Language Models Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 17

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.032162Z

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.

Observation 0ed3aa71-27fa-42e4-a6f1-0194e61f5bce · outbound

This paper cites 11 Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, and Luke Zettlemoyer.

Automatic Chain of Thought Prompting in Large Language Models 11 Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, and Luke Zettlemoyer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T10:39:17.094228Z

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.

Observation dce2a4c4-d2e2-4a8d-a330-76d5dbef7e93 · outbound

This paper cites Surface form competition: Why the highest probability answer isn’t always right.

Automatic Chain of Thought Prompting in Large Language Models Surface form competition: Why the highest probability answer isn’t always right

Reference 19

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.034974Z

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.

Observation 79bc7c2f-bd1e-467f-9e24-4b4a790de141 · outbound

This paper cites Noisy channel language model prompting for few-shot text classification.

Automatic Chain of Thought Prompting in Large Language Models Noisy channel language model prompting for few-shot text classification

Reference 20

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.037800Z

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.

Observation a864394c-a9c3-401c-a945-43fa44009039 · outbound

This paper cites Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity.

Automatic Chain of Thought Prompting in Large Language Models Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity

Reference 21

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.040311Z

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.

Observation 3e9995a3-23db-4c06-a4ab-571e91463dac · outbound

This paper cites Do Prompt-Based Models Really Understand the Meaning of Their Prompts?.

Automatic Chain of Thought Prompting in Large Language Models Do Prompt-Based Models Really Understand the Meaning of Their Prompts?

Reference 22

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.042397Z

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.

Observation 649e51d9-3700-481a-b752-1155473322a6 · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Automatic Chain of Thought Prompting in Large Language Models Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-16T10:39:17.085777Z

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.

Observation 1bdde2f0-57ee-4624-ad8c-d9776f888496 · outbound

This paper cites Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks.

Automatic Chain of Thought Prompting in Large Language Models Sentence- BERT : Sentence Embeddings using S iamese BERT -Networks

Reference 24

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.044753Z

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.

Observation 4196b5f2-8c50-4327-9047-2f95709cbeb8 · outbound

This paper cites Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (.

Automatic Chain of Thought Prompting in Large Language Models Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (

Reference 25

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.046985Z

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.

Observation d0b8cbc0-241b-4ee9-abf9-d474e6933642 · outbound

This paper cites URLhttps://aclanthology.org/Q15-1042/.

Automatic Chain of Thought Prompting in Large Language Models URLhttps://aclanthology.org/Q15-1042/

Reference 26

Resolution: verified exact; doi, observed 2026-05-16T10:39:17.019842Z

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.

Observation be7e43e4-e61a-4eb1-8740-c55af5758ed2 · outbound

This paper cites Training language models to follow instructions with human feedback.

Automatic Chain of Thought Prompting in Large Language Models Training language models to follow instructions with human feedback

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:39:17.058517Z

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.

Observation d449c4a6-eda1-407a-a4b3-badd8195d43d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Automatic Chain of Thought Prompting in Large Language Models Evaluating Large Language Models Trained on Code

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:39:17.061258Z

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.

Observation 281a9099-095a-4016-98d0-35184354b4a7 · outbound

This paper cites MAWPS : A math word problem repository.

Automatic Chain of Thought Prompting in Large Language Models MAWPS : A math word problem repository

Reference 29

Resolution: metadata mismatch; doi, observed 2026-05-16T10:39:17.049379Z

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.

Observation 7d62946d-48f2-4df0-b27d-f47245c364a0 · outbound

This paper cites According to the results in Table 5, shufﬂing questions has the least performance reduction (91.7%→ 73.8%).

Automatic Chain of Thought Prompting in Large Language Models According to the results in Table 5, shufﬂing questions has the least performance reduction (91.7%→ 73.8%)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T10:39:17.096169Z

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.

Observation 9e78c3c5-6f14-42b2-ae3f-057f41686677 · outbound

This paper cites (∆ is computed by the difference of largest and smallest values.

Automatic Chain of Thought Prompting in Large Language Models (∆ is computed by the difference of largest and smallest values

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T10:39:17.098079Z

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.

Observation 01fe9dd7-7a54-404b-bc8e-ae99c23be9e9 · outbound

This paper cites \n” for separating the reasoning steps, the rule can be easily implemented by counting the “\n.

Automatic Chain of Thought Prompting in Large Language Models \n” for separating the reasoning steps, the rule can be easily implemented by counting the “\n

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T10:39:17.088156Z

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.

Pith citing papers

Observation f9cbf5cd-57c8-4020-93be-59669aa174cc · inbound

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models cites this paper.

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models Automatic Chain of Thought Prompting in Large Language Models

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 5b57ed8e-338e-4a58-bb64-ae8ff099c593 · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models Automatic Chain of Thought Prompting in Large Language Models

Reference 145

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T19:03:06.227091Z

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.

Observation 4c12a26a-adaf-41eb-9701-0e88483c06e6 · inbound

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models cites this paper.

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models Automatic Chain of Thought Prompting in Large Language Models

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation c7ce5eaa-f86d-4e91-b8c9-b79ac263eeb3 · inbound

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate cites this paper.

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate Automatic Chain of Thought Prompting in Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 7b39f218-86e2-4eea-8a8c-89962bc0588e · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation e4fcb313-a2f3-4363-81da-f258341e43e6 · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines Automatic Chain of Thought Prompting in Large Language Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation ccc2a4aa-5706-4364-a1b2-f385a105a980 · inbound

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications cites this paper.

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications Automatic Chain of Thought Prompting in Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 21fab816-d9e3-4f4d-8fcc-c7e282428494 · inbound

Mixture-of-Agents Enhances Large Language Model Capabilities cites this paper.

Mixture-of-Agents Enhances Large Language Model Capabilities Automatic Chain of Thought Prompting in Large Language Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:29:34.473601Z

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.

Observation 6186863a-eb31-4855-8508-a604d7d4e7b5 · inbound

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition cites this paper.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Automatic Chain of Thought Prompting in Large Language Models

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:43:25.466406Z

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.

Observation 02146419-2eee-47c3-b7e3-016161888cba · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 191

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation ad4e2760-7261-40cd-904e-98a79415631e · inbound

CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging cites this paper.

CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging Automatic Chain of Thought Prompting in Large Language Models

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T03:55:21.831297Z

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.

Observation 9dba376f-f429-4c10-a96c-0a31ca8663e3 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Automatic Chain of Thought Prompting in Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 77c96993-a7e1-40c5-8b6e-ded046456def · inbound

Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs cites this paper.

Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs Automatic Chain of Thought Prompting in Large Language Models

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-17T05:35:13.258058Z

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.

Observation 979de358-7b98-48f3-a05c-8e4bb7c463f0 · 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 Automatic Chain of Thought Prompting in Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T06:09:18.898118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2ce3f7-cb96-49b9-a637-0ebc28f48b68 · inbound

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models cites this paper.

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:25:30.448415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaec8941-bb07-40a9-8436-79f5baaf9479 · inbound

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic cites this paper.

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic Automatic Chain of Thought Prompting in Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:04.754624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bd6d0d-dd2d-4087-b94a-3ce39836d626 · inbound

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models cites this paper.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.510484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba1fb63a-f1e6-4641-aa47-f9c3ad038dcd · inbound

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism cites this paper.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Automatic Chain of Thought Prompting in Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:23.513166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c99c30-876e-410f-a74d-9c6175633fc5 · inbound

Video-CoT: A Comprehensive Dataset for Spatiotemporal Understanding of Videos Based on Chain-of-Thought cites this paper.

Video-CoT: A Comprehensive Dataset for Spatiotemporal Understanding of Videos Based on Chain-of-Thought Automatic Chain of Thought Prompting in Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:05:52.320226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e6a930-f2a7-4458-82be-7e6b9f38d6aa · inbound

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study cites this paper.

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study Automatic Chain of Thought Prompting in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:56.846228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e50a810-d84d-4cd0-8eb6-d0b0ab34c358 · inbound

Empirical Evaluation of Large Language Models in Automated Program Repair cites this paper.

Empirical Evaluation of Large Language Models in Automated Program Repair Automatic Chain of Thought Prompting in Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:05.441867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74be46e2-347f-41b3-9412-e3c4e10abec1 · inbound

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks cites this paper.

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks Automatic Chain of Thought Prompting in Large Language Models

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:52:14.178050Z

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.

Observation 219c57ad-6ee5-42e7-9f00-11ac9900702c · inbound

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? cites this paper.

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? Automatic Chain of Thought Prompting in Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:22.231291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbf9516-801e-4646-90d2-b0560d9acc53 · inbound

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning cites this paper.

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning Automatic Chain of Thought Prompting in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:12.682873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bfe5f84-9b49-420b-a43c-f608644d8528 · inbound

ECCoT: A Framework for Enhancing Effective Cognition via Chain of Thought in Large Language Model cites this paper.

ECCoT: A Framework for Enhancing Effective Cognition via Chain of Thought in Large Language Model Automatic Chain of Thought Prompting in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:13.594582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825f6e34-122b-4d7a-9d80-0aa45d379904 · inbound

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models cites this paper.

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:58:36.595291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8b6c90-b642-43d6-bf39-9afb3f7e333a · inbound

MANTA: Cross-Modal Semantic Alignment and Information-Theoretic Optimization for Long-form Multimodal Understanding cites this paper.

MANTA: Cross-Modal Semantic Alignment and Information-Theoretic Optimization for Long-form Multimodal Understanding Automatic Chain of Thought Prompting in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:00:08.152957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee23331-b47a-4918-9836-721178f86c37 · inbound

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models cites this paper.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:38:14.518349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5e04b17-d062-439e-9832-6f1e0bb3c011 · inbound

Synthetic Heuristic Evaluation: A Comparison between AI- and Human-Powered Usability Evaluation cites this paper.

Synthetic Heuristic Evaluation: A Comparison between AI- and Human-Powered Usability Evaluation Automatic Chain of Thought Prompting in Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:59.268761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11d09d17-f5dc-4902-82fd-67eb2d12c2e9 · 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 Automatic Chain of Thought Prompting in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:37.787237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b63adc93-fe2c-4f9f-8216-7c163e98ff61 · inbound

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap Automatic Chain of Thought Prompting in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:04.600434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 493f346d-baa6-456f-8d54-81b62e4951eb · inbound

Large Multi-modal Model Cartographic Map Comprehension for Textual Locality Georeferencing cites this paper.

Large Multi-modal Model Cartographic Map Comprehension for Textual Locality Georeferencing Automatic Chain of Thought Prompting in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:19:59.108408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67bf7917-b68d-4ba6-ba87-cec9e54e0ff3 · inbound

Psychology-Driven Enhancement of Humour Translation cites this paper.

Psychology-Driven Enhancement of Humour Translation Automatic Chain of Thought Prompting in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T18:04:32.610070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bdb560a-8df6-4ae0-950c-3e6bf4abd00d · inbound

The Challenge of Teaching Reasoning to LLMs Without RL or Distillation cites this paper.

The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Automatic Chain of Thought Prompting in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:18.153821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042e05d8-18b1-4811-87ee-1b78cb02b42d · inbound

Think-Before-Draw: Decomposing Emotion Semantics & Fine-Grained Controllable Expressive Talking Head Generation cites this paper.

Think-Before-Draw: Decomposing Emotion Semantics & Fine-Grained Controllable Expressive Talking Head Generation Automatic Chain of Thought Prompting in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:42.837926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d5d540-9d51-4cb6-85c3-5b5292754f9a · inbound

Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction cites this paper.

Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction Automatic Chain of Thought Prompting in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T00:49:58.718193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0613d84-256d-48ef-9b30-a38b62e6bb55 · inbound

Beyond the Textual: Generating Coherent Visual Options for MCQs cites this paper.

Beyond the Textual: Generating Coherent Visual Options for MCQs Automatic Chain of Thought Prompting in Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T16:17:37.987258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0c152a-d375-4dbe-8945-0ab550f6a49f · inbound

Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic cites this paper.

Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic Automatic Chain of Thought Prompting in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T12:41:12.247071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef91febe-48de-4b92-9ef7-1d28933c4e3f · inbound

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents Automatic Chain of Thought Prompting in Large Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T11:48:51.875784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 041a3046-0894-49db-9a0f-09f2b8d05544 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Automatic Chain of Thought Prompting in Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:31.622691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7caad15-2593-4945-84b6-bb035eeeaab2 · inbound

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity cites this paper.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Automatic Chain of Thought Prompting in Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T22:25:54.979131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039f6ed9-b4b1-4bb9-8fd0-5745ffabc9e1 · inbound

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback cites this paper.

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback Automatic Chain of Thought Prompting in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T19:17:02.231359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a7c08cd-5ee4-4f1a-9e9c-9b9d90b4a9f8 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Automatic Chain of Thought Prompting in Large Language Models

Reference 144

Resolution: verified exact; local_arxiv, observed 2026-05-18T16:41:38.102353Z

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.

Observation 3ae8e806-cc8f-40d2-bdac-7e7ee0d0113d · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Automatic Chain of Thought Prompting in Large Language Models

Reference 145

Resolution: verified exact; local_arxiv, observed 2026-05-18T16:41:37.558560Z

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.

Observation 8794f1b7-8b5e-4db4-a72a-db5ffb9116e1 · inbound

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data cites this paper.

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data Automatic Chain of Thought Prompting in Large Language Models

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:05:41.458871Z

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.

Observation 7b3a1492-346a-4ccc-a09e-bda883479324 · inbound

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning cites this paper.

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning Automatic Chain of Thought Prompting in Large Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:31:24.850770Z

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.

Observation 3dc591b2-c7f2-4253-b2ae-e6989e6d9b2f · inbound

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning cites this paper.

AIM-CoT: Active Information-driven Multimodal Chain-of-Thought for Vision-Language Reasoning Automatic Chain of Thought Prompting in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T13:43:00.815429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67512a19-106a-44f1-a649-3f290be54ab1 · inbound

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding cites this paper.

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding Automatic Chain of Thought Prompting in Large Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-18T08:31:06.886490Z

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.

Observation 39ad0f0d-48fc-4484-b852-9a8212a35b74 · inbound

Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval cites this paper.

Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval Automatic Chain of Thought Prompting in Large Language Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-18T08:42:30.095893Z

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.

Observation fab63cfe-23f3-455d-9959-19548d86986b · inbound

DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA cites this paper.

DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA Automatic Chain of Thought Prompting in Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T09:18:08.626627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d04d80d8-1bbc-41e9-97cc-52426f5b6723 · inbound

Logic-Guided Socially-aware Robot Navigation World Model cites this paper.

Logic-Guided Socially-aware Robot Navigation World Model Automatic Chain of Thought Prompting in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:08.335496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b998befa-621c-4240-87ef-73b3257ee457 · inbound

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction cites this paper.

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction Automatic Chain of Thought Prompting in Large Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:50:38.341567Z

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.

Observation c3991c43-4bab-4a47-bfb5-a70fe4a26d0e · inbound

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning cites this paper.

VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning Automatic Chain of Thought Prompting in Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T20:57:35.195421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f8665b6-ba14-4e32-bf36-4f742ab48380 · inbound

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving cites this paper.

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Automatic Chain of Thought Prompting in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T06:40:28.151683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc169c2-01c8-48b4-8441-0cfce5c98214 · inbound

World model inspired sarcasm reasoning with large language model agents cites this paper.

World model inspired sarcasm reasoning with large language model agents Automatic Chain of Thought Prompting in Large Language Models

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T18:58:19.157834Z

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.

Observation ae5417ea-a1ef-4181-8c00-2bb397d0af9f · 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? Automatic Chain of Thought Prompting in Large Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-16T14:53:00.645804Z

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.

Observation 7fbd80a2-4a03-4634-82e4-9aa009af75e5 · inbound

PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses cites this paper.

PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses Automatic Chain of Thought Prompting in Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 063a36a9-a74f-45f3-a162-6af1eaf86141 · inbound

Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition cites this paper.

Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition Automatic Chain of Thought Prompting in Large Language Models

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 9c9f890b-c645-4f3f-bb41-1eefe4b57d81 · inbound

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models cites this paper.

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation e072ade1-de4d-464c-922f-399e5b3cdf65 · inbound

ExecTune: Effective Steering of Black-Box LLMs with Guide Models cites this paper.

ExecTune: Effective Steering of Black-Box LLMs with Guide Models Automatic Chain of Thought Prompting in Large Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 97b54fff-1dd2-4fbc-a01f-3d0ac1876914 · inbound

Prompt-Driven Code Summarization: A Systematic Literature Review cites this paper.

Prompt-Driven Code Summarization: A Systematic Literature Review Automatic Chain of Thought Prompting in Large Language Models

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation b137ab0d-25ed-45e4-874b-e5ffcf629bf7 · inbound

Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks cites this paper.

Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks Automatic Chain of Thought Prompting in Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation faccf587-eeb4-422b-875c-6f85d4bdcc67 · inbound

Assistance Without Interruption: A Benchmark and LLM-based Framework for Non-Intrusive Human-Robot Assistance cites this paper.

Assistance Without Interruption: A Benchmark and LLM-based Framework for Non-Intrusive Human-Robot Assistance Automatic Chain of Thought Prompting in Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 99ca5cb4-75ed-4fda-aeac-a6e30e36e707 · inbound

Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models cites this paper.

Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation 3d30b35c-42e3-467b-9c21-8b2b8760648f · inbound

Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models cites this paper.

Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation da78dbf8-e6ef-4b99-a5fc-dac75e6ea907 · inbound

APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation cites this paper.

APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation Automatic Chain of Thought Prompting in Large Language Models

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation fcc1b3e2-43d1-46eb-973d-c85b0bc8069e · inbound

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning cites this paper.

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning Automatic Chain of Thought Prompting in Large Language Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:39:17.100641Z

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.

Observation a115d476-ee1d-4564-83a2-3f71797a76ff · inbound

ACIL: Auto Chain of Thoughts for In-Context Learning cites this paper.

ACIL: Auto Chain of Thoughts for In-Context Learning Automatic Chain of Thought Prompting in Large Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-20T15:28:25.558016Z

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.

Observation 57cb7e72-0f5a-4913-88fc-f74a20f87c81 · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages Automatic Chain of Thought Prompting in Large Language Models

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T14:38:21.864393Z

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.

Observation 71d9cdc2-77d1-45b9-bd1f-546a35a2f658 · inbound

The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation cites this paper.

The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation Automatic Chain of Thought Prompting in Large Language Models

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T08:06:15.316558Z

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.

Observation 9607ac2d-6053-404c-9d81-6ae9ecb5bbc7 · inbound

ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning cites this paper.

ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning Automatic Chain of Thought Prompting in Large Language Models

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:43:28.670154Z

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.

Observation d2962fe9-398f-404e-b55a-3b0efd7894da · inbound

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs cites this paper.

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs Automatic Chain of Thought Prompting in Large Language Models

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T18:42:28.909259Z

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.

Observation 7dd0db96-659d-46d8-bfdb-5ac946f9c137 · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Automatic Chain of Thought Prompting in Large Language Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-02T11:29:26.920670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c9ca52-6b66-4fc9-990e-95b4e067d84b · inbound

Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation cites this paper.

Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation Automatic Chain of Thought Prompting in Large Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:09:14.130570Z

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.

Observation 43d48886-af9a-46aa-b2ad-e0260b4c3a96 · inbound

MammoExpert: Benchmarking Chain-of-Thought Reasoning in Mammography Diagnosis cites this paper.

MammoExpert: Benchmarking Chain-of-Thought Reasoning in Mammography Diagnosis Automatic Chain of Thought Prompting in Large Language Models

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.468978Z

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.

Observation 59b29e7b-5db4-4d2a-9604-33fe40506483 · inbound

SPIRAL: Learning to Search and Aggregate cites this paper.

SPIRAL: Learning to Search and Aggregate Automatic Chain of Thought Prompting in Large Language Models

Reference 67

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:49:46.161920Z

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.

Observation 7f4f432a-1484-433d-9271-447a47d1c6a7 · inbound

Revisiting Chain-of-Thought Reasoning under Limited Supervision: Semi-supervised Chain-of-Thought Learning cites this paper.

Revisiting Chain-of-Thought Reasoning under Limited Supervision: Semi-supervised Chain-of-Thought Learning Automatic Chain of Thought Prompting in Large Language Models

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-03T20:08:54.894026Z

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.

Observation fe428716-99ba-4bb8-913d-5295f2e1fe94 · inbound

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception cites this paper.

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception Automatic Chain of Thought Prompting in Large Language Models

Reference 203

Resolution: unresolved; no resolver link, observed 2026-07-12T04:17:40.198357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5fb3f6d-0709-42e7-9045-25bbcf736d3e · inbound

ASARL: Autonomous Social-Aware Relevance Learning for QQ Search cites this paper.

ASARL: Autonomous Social-Aware Relevance Learning for QQ Search Automatic Chain of Thought Prompting in Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T12:46:31.056543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ce3842-d42d-42e6-aa0c-1a503e655d6b · inbound

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection cites this paper.

CoT-Core: Accelerating LLM Evaluation via CoT-Aware Coreset Selection Automatic Chain of Thought Prompting in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T02:32:06.233650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f745c18-714c-45c4-a704-e3f248f7a4c6 · inbound

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve cites this paper.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Automatic Chain of Thought Prompting in Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:19.929652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.