Paper Citation Record · LEDGER

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation

As of 14 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2412.03944.

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

pith.paper-citation-record.v1
2412.03944 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:59:01.605786Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:11:23.042546Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:15.919232Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy2
unresolved48
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cabe7ec7-62e6-4edf-ba32-acfe2d4699ab · outbound

This paper cites GPT-4 Technical Report.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38796e57-16d3-4698-8748-4a4f4465b47c · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 2

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Observation 79d64004-8201-40b8-a551-73dbe9fbbd65 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 3

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Observation af579966-61d7-4652-ae2f-cbd765ef5dd9 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 4

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Observation d688766b-0132-4e0a-84e8-b13d47c9d511 · outbound

This paper cites Boosting of thoughts: Trial-and-error problem solving with large language models.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Boosting of thoughts: Trial-and-error problem solving with large language models

Reference 5

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Observation 37b816e0-3065-4316-92bd-260a65f159f9 · outbound

This paper cites Contrastive Chain-of-Thought Prompting.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Contrastive Chain-of-Thought Prompting

Reference 6

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Observation 5a70e8c7-8260-40a9-a420-fbf5045be2e1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Training Verifiers to Solve Math Word Problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T21:59:01.313945Z

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Observation 3976b272-4f9d-4b19-803a-5bd90a0bfc86 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 8

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Observation 7fe2dcd8-adc0-4867-8468-c926d6338522 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 9

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Observation c5b53a25-4b18-4ef4-b897-c64f04b4c76d · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 10

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Observation eb7f5b7a-8a42-4580-bb7c-9992566b7fd1 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 11

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Observation 75a14d3f-8975-4dc6-b328-da0997070123 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 12

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Observation 6ebce7f9-a4a3-4aef-92fc-1bc6aa13b86a · outbound

This paper cites The False Promise of Imitating Proprietary LLMs.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation The False Promise of Imitating Proprietary LLMs

Reference 13

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Observation 0a7934fd-cbe2-4a51-9c7d-ac657e7c43b0 · outbound

This paper cites The Impact of Reasoning Step Length on Large Language Models.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation The Impact of Reasoning Step Length on Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T21:59:01.351487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ebb2a34-2c00-4205-81ae-1d50dcf59e3c · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 15

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Observation 76ba8d1d-10a2-48c7-a8ff-ab925560bb58 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 16

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Observation 738b320e-59f2-4544-817d-9349dc6e6c3a · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 17

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Observation fe16ccf8-e6f6-46a7-b38e-67e1f105808d · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 0ea9f1e8-5766-4234-a8b3-e37c51d59506 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a57571f-151d-43c5-a9ec-307b5951a2de · outbound

This paper cites Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T21:59:01.383144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 539c9007-0b01-4786-aae3-01a030b6fca7 · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 21

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Observation 48c0a9c7-f4b9-41df-85dc-c4765c82c208 · outbound

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

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Reference 22

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Observation d3f57404-ddd0-495b-a4c1-74a31946e8aa · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 23

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Observation 496cf544-718b-4789-bc3d-5426a35f6b06 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation 827930a6-480e-4f74-a00f-9c5b92afd942 · outbound

This paper cites On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning

Reference 25

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Observation 6bc1dbc8-fe71-40a6-b39f-0100e09213bb · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 26

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Observation b1cb2f57-bdc2-4b94-ad1b-00b616a832db · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 27

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Observation 7be7f06f-acb4-42e8-9354-b405d6a65e74 · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 28

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Observation f7371f20-00e1-4469-ae34-cedcc459b78b · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 29

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Observation dc73500e-58e4-4719-b47b-0d280029c07f · outbound

This paper cites Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 30

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Observation 96d3a547-7fba-471d-9778-1bc67c12f897 · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 31

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Observation f43a35d1-dcaf-4a91-ab7d-63b49e4cde94 · outbound

This paper cites An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs

Reference 32

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Observation bae958cf-77c7-4c7c-b4b6-2c3d7f4fdfa4 · outbound

This paper cites Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Reference 33

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Observation 62729aa9-7e76-4d23-a02b-4838bcecded5 · outbound

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

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting

Reference 34

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Observation a8c562b6-bcec-484d-988c-bea27dfae1f9 · outbound

This paper cites On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models

Reference 35

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Observation f0c357fc-78eb-475a-810c-4b29cbc64799 · outbound

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

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Gemma 2: Improving Open Language Models at a Practical Size

Reference 36

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Observation b000fdd6-f886-4880-b5fa-9476b3a73946 · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 37

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 38

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Observation e1566c19-d8aa-41b9-a48b-c2384bb68a29 · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

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Observation 01ba68d6-9a03-4e70-9a97-54e2cb8f7e46 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Self-consistency improves chain of thought reasoning in language models

Reference 40

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Observation 0c6fef8a-4b84-4ab4-9846-ea07dedcdbf8 · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Chain-of-Thought Reasoning Without Prompting

Reference 41

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Observation 659a4580-1732-4c95-81c1-d2d59b03965a · outbound

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

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Do Prompt-Based Models Really Understand the Meaning of their Prompts?

Reference 42

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Observation bbf375d1-b955-4f50-860a-ca20bda7abc6 · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 43

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Observation ad55ded7-74a5-4fee-881f-342b9b3fdc16 · outbound

This paper cites Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions

Reference 44

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Unavailable: canonical work link unavailable.

Observation 8b4d1d19-667f-449d-baeb-4330a675a2ef · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 45

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Unavailable: canonical work link unavailable.

Observation 2642175e-2970-4fa9-8799-ba606e133552 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 46

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Observation 0bd7006c-422c-42ef-bb12-eb2f66f9e21c · outbound

This paper cites CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs

Reference 47

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Source-reported events for the cited work

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Observation 5afa07cc-de17-426b-b84d-ee60d21a00ec · outbound

This paper cites Least-to-most prompting enables complex reasoning in large language models.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Least-to-most prompting enables complex reasoning in large language models

Reference 48

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Observation 2868cfa8-b0fe-45ae-ae05-1e8fec042eb1 · outbound

This paper cites an unresolved cited work.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Unresolved cited work

Reference 49

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Source-reported events for the cited work

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Observation e9ac4c95-9d82-4a06-a490-2252ebfe5b90 · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation online" 'onlinestring :=

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T21:59:01.595110Z

Source-reported events for the cited work

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Observation 967fcb2a-5547-4882-9e77-7ff2c1b1926e · outbound

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Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation write newline

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T21:59:01.605786Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation d4c47edb-398b-4c15-bcb2-86df6108544c · inbound

BCL: Bayesian In-Context Learning Framework for Information Extraction cites this paper.

BCL: Bayesian In-Context Learning Framework for Information Extraction Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation

Reference 68

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Source-reported events for the cited work

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