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Paper Citation Record · LEDGER

Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2402.13950.

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

pith.paper-citation-record.v1
2402.13950 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:21:12.982072Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cdcf9ed1-56fc-4d97-84f8-5859871475be · inbound

Graph-Guided Textual Explanation Generation Framework cites this paper.

Graph-Guided Textual Explanation Generation Framework Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T14:18:17.280116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:18:17.280116Z digest=sha256:558c0cf21ea7be0b0f7ce0ce4fe7554b05e5767b8be1ac04e3298a4f5894b6e4

Observation cd179fd0-e071-4722-b82b-e15b89589d5e · inbound

MetaOpenFOAM 2.0: Large Language Model Driven Chain of Thought for Automating CFD Simulation and Post-Processing cites this paper.

MetaOpenFOAM 2.0: Large Language Model Driven Chain of Thought for Automating CFD Simulation and Post-Processing Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T18:47:52.813212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:47:52.813212Z digest=sha256:8251e96e19471fd3e3c0639d57d5eaf59ffce85d00a1c54fa9cef6f40fa1640f

Observation c52bc77d-6ced-4579-a42f-72044479ff24 · inbound

How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding cites this paper.

How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 32

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no resolver link, observed 2026-08-15T18:21:12.982072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:21:12.982072Z digest=sha256:602c68439c6423c68cfe94dbc03155568753f3fa9d0ecf974c6851f8c3eeaff5

Observation 62719d44-efa0-405d-9abc-fa7a3b47f033 · inbound

OwkinZero: Accelerating Biological Discovery with AI cites this paper.

OwkinZero: Accelerating Biological Discovery with AI Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T17:29:04.638177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:29:04.638177Z digest=sha256:f501ad3dbc517139b755fab3417f4adc767d8b89feb152a9354d6c1c4484326b

Observation 5854ae43-60be-495c-8d42-70b940f74dd0 · inbound

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance? cites this paper.

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance? Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T17:40:54.301852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:40:54.301852Z digest=sha256:bd0d6a65a5db8297f2ce7b02431199967fe5f4587c3c9e0860c0887bd2334fd3

Observation f5622d77-e35d-4133-9a74-5ddc57809070 · inbound

Self-Reflective Generation at Test Time cites this paper.

Self-Reflective Generation at Test Time Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T12:41:42.777000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:41:42.777000Z digest=sha256:46c60d35a6df799bc3d85c3d3e4eb6e848a1b54cd02b0e20bcca46aa28b63111

Observation a003e3a2-a1a3-4431-917c-c05e411e3e94 · inbound

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts cites this paper.

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T10:40:47.386849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:40:47.386849Z digest=sha256:f16ae2f6b5722be9e0170714a97ab9a70a4da33e0b5071d96f4c3b4f2ed64f98

Observation 669ad559-149d-446c-b4ed-e2ac2ac1b8f7 · inbound

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation cites this paper.

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-03T21:09:25.221007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:09:25.221007Z digest=sha256:4fc07f2312b3dd17097641feb4c248c8d3f1b576d4fc252ab418738561df03ae

Observation 344a4803-c6e1-4cef-9fd2-c1ff94c9ff56 · inbound

Training Language Models to Use Prolog as a Tool cites this paper.

Training Language Models to Use Prolog as a Tool Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:18:48.436324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T01:15:43.096577Z digest=sha256:a8b73df759724641e98094d9eea8b22d723ea938c2c0929c100c8624b5b1cb72

Observation 61bd8538-6cb4-49bf-ac1f-56ab0af9eb93 · inbound

Training Language Models to Use Prolog as a Tool cites this paper.

Training Language Models to Use Prolog as a Tool Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T18:01:23.106483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:01:23.106483Z digest=sha256:2f8791990616ffa746065031f6feb61984300473414b3ca9c37ab2335cb9ec5b

Observation 1a67d5fe-2db1-4825-be8b-b753830b974c · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:27.273637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:27.273637Z digest=sha256:a33cdd1ebf736087de1332a3a8f4c81899aa8428351ac4623bb286f8f38698e2

Observation 43f79d4b-0f1a-474b-bbd2-159c73bbcb88 · inbound

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cites this paper.

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:00:29.061203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T13:57:36.981142Z digest=sha256:be91a2f8b17edefd9d1a07bcaf80cace3846405156989ae708db877609ea2316

Observation c8ea0c65-a0cd-4fa0-950d-f566186a0ffe · inbound

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cites this paper.

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:03:53.028928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-21T01:00:20.188501Z digest=sha256:d5180447b4649bd726f59d5bdfaaa3ee1309b3f64774d62b71adc3273e52d151

Observation 0ce75d48-d798-4dc8-88e8-db63868eef39 · inbound

The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning cites this paper.

The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:41:03.976968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T15:52:43.274993Z digest=sha256:4a4cd633459f04523a19ccd891c9acc7dba21519ebe295a9105fdd9379cf8e38

Observation 429f5d5f-38e0-4c7a-add5-314ac18b5c71 · inbound

Mechanism Plausibility in Generative Agent-Based Modeling cites this paper.

Mechanism Plausibility in Generative Agent-Based Modeling Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:27:50.923984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T19:24:53.816091Z digest=sha256:c4fe80f4979fdeb7074b088bde72cda170257b6eeb1189f6f3ac6b37fd8b2e05

Observation f26797f6-ac5f-4497-9b67-0c761a3bc278 · inbound

Mechanism Plausibility in Generative Agent-Based Modeling cites this paper.

Mechanism Plausibility in Generative Agent-Based Modeling Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:53:43.326278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T20:51:54.829821Z digest=sha256:4ec52ec73cf7a7f684722dcedbdd5b33bcba3d59970d84fa049ae2eb60c78545

Observation 6f8330f5-ea30-4fca-8b39-95bcb00d40ab · inbound

Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework cites this paper.

Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:34:40.591100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T13:27:50.367497Z digest=sha256:73e6664b449994e704dd745b90ff48cf617c09c3f3fa78e795d54aac1426d2df

Observation b2974b76-6f6c-4261-8ea0-90887e57f827 · inbound

Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework cites this paper.

Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T08:05:31.899167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T07:35:51.017797Z digest=sha256:65da2cad0f8b1288e2a2d4191682cb7511ac946e8c7002b038022e5340c53ab3

Observation 00070c01-c549-4fab-a583-aac1ff5ed4ea · inbound

Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework cites this paper.

Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:27:26.719497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T23:22:08.567841Z digest=sha256:d2012553ed262744aba638841dcb2e33e34e0f57d67eefdc21bcf05b59f34517

Observation 6734681c-ff98-4261-9efc-bfeb70bd1124 · inbound

Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy cites this paper.

Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:53:59.531891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T21:47:17.894881Z digest=sha256:eb48e215ae05c83a38817180e06eb884171ac783a2cf2b728a796bc6eed2df5f

Observation b45ffc0e-525e-4a8a-b6f8-e112a35cc641 · inbound

Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination cites this paper.

Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 51

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metadata mismatch
arxiv_id, observed 2026-07-02T12:26:55.874060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-02T12:26:46.384850Z digest=sha256:c6f7e8aea42c1739a28bc89d1ba31c20acca009316092d558478b3f6a6f6a224

Observation dddbd25d-30da-4937-972f-1b8dc8f22db9 · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 64

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unresolved
no resolver link, observed 2026-08-01T08:36:24.761289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:36:24.761289Z digest=sha256:02d6d9b5d50f09c278b66dacbf84f09833af967cec5620d30d87a601339ebddd

Observation 628fe6e9-acd7-4bff-b3d6-10f8aea2e7c7 · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-01T08:36:28.767008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:36:28.767008Z digest=sha256:900d161e68b610f84ebbd0ac45028fb79f83a4491454804c8d85e3fb17dd1e73