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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:18:17.280116Z

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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  • malformed identifier0
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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=sha256:7d738b9e085064db5b0e739169956f81b9f836ca56f9eb3cddf5e5d43ec1ff9f

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=sha256:6ec884b5f6d4ffbf01aa958ddbfc1dc46bb7c7ae344aa4d6b86449d450f803ed

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:d83ba6fd3374cdd0f48b1aba3c7232173c7064c24763e6594f7ab982180caa75

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=sha256:6ef9b8684b678ba0e6baa146e6e3b3bbafbb513d98912304cf558ac0a644d2f9

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=sha256:15205d0a2538818d220e9ce058b35cfb7c968ed363e93884519769343204f1b1

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=sha256:8089daf8551f64f6a045eafeb7569b70e5fd5936a25100f9ee63bd5268117827

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=sha256:5f6c753611de99a6a31aa7e1a6d4d75b2ed5b50149e9ad2251d94d6c0c28ee2a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T01:15:43.096577Z digest=sha256:e5ab7a009f131ef3f5c3e7a59d3d50e93c325ce02ca6651a36ad7b93a7fd720b

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=sha256:3eae2e6e1ca7c389728ec35015e295bfb8b47f56ca45feecd13cecfe843fc0f3

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=sha256:3b30b35c92ef094c82363853ed40ced44b39d3c13b18781c729c389cb3311bf7

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T13:57:36.981142Z digest=sha256:04f85dc104b4aa5e3786ed16b56cbbf4462f3f3b4e045292d400f7e3cd15fd4f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-21T01:00:20.188501Z digest=sha256:a163e7a890bb4aa48e2db77a39b8f8d15e9b40240bd0bd22d0f1c487a3a24239

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T15:52:43.274993Z digest=sha256:5aca6fca1025a405081bf37d4883d870a0182f3c998099404bd6d08a416645b3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T19:24:53.816091Z digest=sha256:16601f2673bc3d6080d554da0b2350dab7883ed91e27efab64285dd798ec5c3a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T20:51:54.829821Z digest=sha256:38e6cd12cfb65775f4f4eb072985b20614a977cd1f3001a6c29753b773b2b822

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T13:27:50.367497Z digest=sha256:4f5d503e0c1ae4c247e78cd9db6bf2bb10799b3d6eb421b192e58df5d76a94c8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-01T07:35:51.017797Z digest=sha256:a789316cb9835abc901acd0aed427c48c2b95b2806bf6806d073de91cef95677

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T23:22:08.567841Z digest=sha256:5e805f5bb1a45d1dbac50e00141dcc862c645beaa8cb8220ed463acbea0c4a7d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T21:47:17.894881Z digest=sha256:2796a21292f54d17a40222037e4b60daf043d52767695ad95a90b22124d61d89

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-02T12:26:46.384850Z digest=sha256:e98b3e64fe4d6961d19204b4fab9576f7acf7f6f8c281363a6c8d9ce3ca4c8db

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

Resolution
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:debc7afd66123d6b505cef672cdb0253ab4ff1bba4bcb5956e48daf9dc91db1b

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=sha256:99d4e74fcecfda6ccb5ee9d7c04a58ff9fa71fbc55ad9a9a4ec4bce24bc71003