Paper Citation Record · LEDGER

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2605.26795.

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

pith.paper-citation-record.v1
2605.26795 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:08:41.609629Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

30 of 30 outbound references displayed

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unresolved30
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External citation measurements

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Outbound references

Observation 4aedc6d4-6596-4af0-836e-24f4c9b2bd71 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:37.317514Z

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Observation ff838155-760b-4077-8c3a-b6340c8454c9 · outbound

This paper cites Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:37.460469Z

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Observation a43421f7-d56b-485a-8889-580357a3b8ff · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:37.588500Z

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Observation f00f547c-3a86-4b72-86ef-441d865212c5 · outbound

This paper cites Show your work: Scratchpads for intermediate computation with language models.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Show your work: Scratchpads for intermediate computation with language models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:37.764822Z

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Observation e43e1790-b68e-4f0f-8be7-c775cc816062 · outbound

This paper cites Chain-of-thoughts prompting with language models for accurate math problem-solving.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Chain-of-thoughts prompting with language models for accurate math problem-solving

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:37.979410Z

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Observation d682b48d-db4d-45ec-90c1-af06a6888413 · outbound

This paper cites Towards Better Chain-of-Thought Prompting Strategies: A Survey.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Towards Better Chain-of-Thought Prompting Strategies: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:38.180669Z

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Observation 5fb052d5-5f0b-4089-a1f5-efa6fc60db57 · outbound

This paper cites Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting.Advances in Neural Information Processing Systems, 36:74952–74965, 2023.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting.Advances in Neural Information Processing Systems, 36:74952–74965, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:38.305826Z

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Observation 07930446-edb8-4566-9001-69df700383b0 · outbound

This paper cites Faithful logical reasoning via symbolic chain-of-thought.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Faithful logical reasoning via symbolic chain-of-thought

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:38.403841Z

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Observation cbbc4175-4ef4-495a-a61e-2a9b9db6e40f · outbound

This paper cites Measuring chain-of-thought monitorability through faithfulness and verbosity.arXiv preprint arXiv:2510.27378, 2025.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Measuring chain-of-thought monitorability through faithfulness and verbosity.arXiv preprint arXiv:2510.27378, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:38.590680Z

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Observation d4e771a8-8b02-4ea8-919f-39d5cba2962c · outbound

This paper cites Walk the talk? measuring the faithfulness of large language model explanations.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Walk the talk? measuring the faithfulness of large language model explanations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:38.741751Z

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Observation 8c5bf276-f7bd-477a-a27a-d74a86e9a189 · outbound

This paper cites Faithcot- bench: Benchmarking instance-level faithfulness of chain-of-thought reasoning.arXiv preprint arXiv:2510.04040, 2025.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Faithcot- bench: Benchmarking instance-level faithfulness of chain-of-thought reasoning.arXiv preprint arXiv:2510.04040, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:38.879907Z

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Observation a36ff8c1-ec18-42be-9e1e-0c88aed86fb9 · outbound

This paper cites In-context Learning and Induction Heads.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation In-context Learning and Induction Heads

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:39.051618Z

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Observation 981cfa0d-4252-48f1-a0ce-1f9f1bfb9260 · outbound

This paper cites Towards revealing the mystery behind chain of thought: a theoretical perspective.Advances in Neural Information Processing Systems, 36:70757– 70798, 2023.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Towards revealing the mystery behind chain of thought: a theoretical perspective.Advances in Neural Information Processing Systems, 36:70757– 70798, 2023

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:39.220789Z

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Observation 80863028-007c-477a-b7ec-5a8470220ef3 · outbound

This paper cites Iteration head: A mechanistic study of chain-of-thought.Advances in Neural Information Processing Systems, 37:109101–109122, 2024.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Iteration head: A mechanistic study of chain-of-thought.Advances in Neural Information Processing Systems, 37:109101–109122, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:39.335404Z

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Observation a7e55c7b-ccda-4638-813e-b0b254e69314 · outbound

This paper cites How does chain of thought think? mechanistic interpretability of chain-of-thought reasoning with sparse autoencoding.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation How does chain of thought think? mechanistic interpretability of chain-of-thought reasoning with sparse autoencoding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:39.450135Z

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Observation 88002448-7932-4969-9fcc-9ac3523e7ebf · outbound

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

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:39.570978Z

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Observation 5b690181-a61b-4378-a138-7d6387c0e118 · outbound

This paper cites Towards understanding chain-of-thought prompting: An empirical study of what matters.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Towards understanding chain-of-thought prompting: An empirical study of what matters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:39.668006Z

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Observation af8cf6c3-ab12-4979-a2de-fcc235b3dfc2 · outbound

This paper cites Let's Think Dot by Dot: Hidden Computation in Transformer Language Models.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:39.771469Z

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Observation 2ee9b97a-cd16-4f99-8975-0a7061ed40d0 · outbound

This paper cites Chain-of-thought is not explainability.Preprint, alphaXiv, page v1, 2025.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Chain-of-thought is not explainability.Preprint, alphaXiv, page v1, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:39.856836Z

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Observation 919221a4-713c-4b7c-a11c-cac4fe10542a · outbound

This paper cites Chain-of-Thought Reasoning In The Wild Is Not Always Faithful.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Chain-of-Thought Reasoning In The Wild Is Not Always Faithful

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:40.058805Z

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Observation dfb6b9bb-1301-4f83-a969-2be90e850f1f · outbound

This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:40.188632Z

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Observation e1ec8892-bfd4-45c0-86a1-6748401e12be · outbound

This paper cites Diagnosing memorization in chain-of-thought reasoning, one token at a time.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Diagnosing memorization in chain-of-thought reasoning, one token at a time

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:40.316321Z

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Observation 9f1ce435-f2b9-47b0-923e-dfa2fdefe46f · outbound

This paper cites Can language models perform robust reasoning in chain-of-thought prompting with noisy rationales?Advances in Neural Information Processing Systems, 37:123846–123910, 2024.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Can language models perform robust reasoning in chain-of-thought prompting with noisy rationales?Advances in Neural Information Processing Systems, 37:123846–123910, 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:40.473854Z

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Observation 9ae8b2b5-40be-428f-910b-e9dd1e86bf81 · outbound

This paper cites BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:40.588662Z

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Observation a636f8a0-8a2c-4445-9483-eb79e00e250d · outbound

This paper cites Preemptive answer “attacks” on chain-of-thought reasoning.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Preemptive answer “attacks” on chain-of-thought reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:40.747830Z

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Observation b9e3e7d6-fcdc-4f9b-a060-f6016c7c5aa3 · outbound

This paper cites Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:40.877370Z

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Observation 7889b2ec-1cec-413d-84f4-c9b2814be658 · outbound

This paper cites Rethinking Chain-of-Thought from the Perspective of Self-Training.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Rethinking Chain-of-Thought from the Perspective of Self-Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:41.059426Z

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Observation 52321859-f2ba-4715-bd86-463ca7b27348 · outbound

This paper cites Why think step by step? reasoning emerges from the locality of experience.Advances in Neural Information Processing Systems, 36:70926–70947, 2023.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Why think step by step? reasoning emerges from the locality of experience.Advances in Neural Information Processing Systems, 36:70926–70947, 2023

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:41.238829Z

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Observation 3d9b9819-028d-47fe-a6da-05af11d4d9e6 · outbound

This paper cites Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:41.379698Z

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Observation 82bbbd33-13dd-4850-af54-03362507481b · outbound

This paper cites the answer is.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation the answer is

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:41.609629Z

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Pith citing papers

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