Paper Citation Record · LEDGER

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors

As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2509.01236.

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

pith.paper-citation-record.v1
2509.01236 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:49:13.528375Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy20
unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5d6a439-861e-4002-b59a-6bda82a4e9ee · outbound

This paper cites Transactions on Machine Learning Research (2023).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Transactions on Machine Learning Research (2023)

Reference 1

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Observation d220c965-b4c3-459d-b92a-51cacc4e0fc4 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Advances in Neural Information Processing Systems

Reference 2

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Observation d519e054-6082-4f44-9c3f-a2f72c42572c · outbound

This paper cites Transactions on Machine Learning Research (2023).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Transactions on Machine Learning Research (2023)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:49:19.679465Z

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Observation ddd69f96-04c5-4027-a6f9-95a184b223f8 · outbound

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Unresolved cited work

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This paper cites Training Verifiers to Solve Math Word Problems.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Training Verifiers to Solve Math Word Problems

Reference 5

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Observation fe8c30b3-b9e7-4000-ac04-f34ce6e85bda · outbound

This paper cites Psychological review101(3), 371 (1994).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Psychological review101(3), 371 (1994)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:49:19.255475Z

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Observation 17be73b5-30c1-4949-b281-c1a75aa36a5a · outbound

This paper cites language 56(2), 251–299 (1980).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors language 56(2), 251–299 (1980)

Reference 7

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Observation d0b270a1-8f2f-4970-8ea8-55d4873e24c2 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL 2024.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Findings of the Association for Computational Linguistics: ACL 2024

Reference 8

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This paper cites In: Advances in Neural Information Processing Systems.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Advances in Neural Information Processing Systems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:49:18.718982Z

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Observation 79bfd5bd-21d4-4289-a073-7f11d9fd924e · outbound

This paper cites In: International Conference on Learning Repre- sentations (ICLR) (2024).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: International Conference on Learning Repre- sentations (ICLR) (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:49:18.524461Z

Source-reported events for the cited work

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Observation 961f2d5d-c8f6-4927-a288-4176ebef7c33 · outbound

This paper cites How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

Reference 11

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Observation c93e9254-7bd2-4d41-9e02-2dead679d57a · outbound

This paper cites LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Reference 12

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Observation 87377d5c-7d01-4a36-ae4e-fbd39274b6db · outbound

This paper cites Let's Verify Step by Step.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Let's Verify Step by Step

Reference 13

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Observation 1a389eed-07d9-45e7-94de-2c4c1aebd6ea · outbound

This paper cites In: Forty-first Inter- national Conference on Machine Learning (2024).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Forty-first Inter- national Conference on Machine Learning (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:49:18.332349Z

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Observation c11c16e9-eccc-4686-bea4-1389f99d1544 · outbound

This paper cites Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Reference 15

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Observation 28357d6f-c39f-485b-88e8-dc120fa80975 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2023.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Findings of the Association for Computational Linguistics: EMNLP 2023

Reference 16

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Observation 7bfc9d9a-b633-4501-a818-6be5db658499 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2024).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: The Twelfth International Conference on Learning Representations (2024)

Reference 17

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Observation 43449c75-7708-45bc-9298-0c9199e39592 · outbound

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Unresolved cited work

Reference 18

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Observation 7f47a7bf-c62c-4dfc-8cef-29d3af5269b9 · outbound

This paper cites GPT-4 Technical Report.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors GPT-4 Technical Report

Reference 19

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This paper cites In: Findings of the Association for Computational Linguistics: ACL 2023.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Findings of the Association for Computational Linguistics: ACL 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:49:17.460580Z

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Observation f8b7e1b5-912b-4367-8196-b9692de8b4a7 · outbound

This paper cites In: The Eleventh International Conference on Learn- ing Representations (2023).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: The Eleventh International Conference on Learn- ing Representations (2023)

Reference 21

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Observation 2fa7c19d-3d59-43d5-b3d4-702e475254eb · outbound

This paper cites Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting

Reference 22

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This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 23

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Unresolved cited work

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Observation d5f1a3a1-3f80-468d-86a2-011fa75b4c4b · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Gemma 2: Improving Open Language Models at a Practical Size

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors The Llama 3 Herd of Models

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Qwen2.5 Technical Report

Reference 27

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Reference 28

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Observation 80fb539a-ae8d-45a5-bcfb-9144b6629e95 · outbound

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: The Thirty-eighthAnnualConferenceonNeuralInformationProcessingSystems(2024)

Reference 29

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Advances in Neural Information Processing Systems

Reference 30

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This paper cites Larger language models do in-context learning differently.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Larger language models do in-context learning differently

Reference 31

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Observation f0ea7e6c-707a-4169-852c-6703a9dfbb63 · outbound

This paper cites When More is Less: Understanding Chain-of-Thought Length in LLMs.

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors When More is Less: Understanding Chain-of-Thought Length in LLMs

Reference 32

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Unresolved cited work

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In:FindingsoftheAssociationforComputationalLinguistics:ACL2023.pp.4469–

Reference 34

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Observation aaf91da3-a17b-4268-9cc4-821d56af71fa · outbound

This paper cites In: Proceedings of the 2022 Conference on Empirical Meth- odsinNaturalLanguageProcessing.pp.2422–2437.AssociationforComputational Linguistics (2022).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: Proceedings of the 2022 Conference on Empirical Meth- odsinNaturalLanguageProcessing.pp.2422–2437.AssociationforComputational Linguistics (2022)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:49:14.613762Z

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Observation d441f394-a597-4445-a49f-f7ece80bff4b · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors In: The Eleventh International Conference on Learning Representations (2023)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:49:14.247305Z

Source-reported events for the cited work

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Observation bba49bb0-4e1a-49d8-8752-7ad81beac45e · outbound

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Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors Unresolved cited work

Reference 4484

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.