Paper Citation Record · LEDGER

Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2307.11768.

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

pith.paper-citation-record.v1
2307.11768 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:35.676486Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

8
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 9eb65adc-690b-433c-bf2c-4ebdfd80b21f · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T14:48:08.657052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3c289702-1c18-4c0a-ae4a-91c9d3980a42 · inbound

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models cites this paper.

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:21:16.560622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30cf8f26-0ad7-4324-9dd1-7286fccb8f12 · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:06:50.455029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2d036253-682d-4382-b81e-a9070bdc0173 · inbound

Towards Understanding Sycophancy in Language Models cites this paper.

Towards Understanding Sycophancy in Language Models Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:26:29.467153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7790faed-fc8b-4f23-b9e6-75354bff15d4 · inbound

Understanding Hidden Computations in Chain-of-Thought Reasoning cites this paper.

Understanding Hidden Computations in Chain-of-Thought Reasoning Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T21:28:51.412872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6268ae1d-1f16-4f51-8158-e53da2c82a42 · inbound

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability cites this paper.

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T11:41:21.271612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653a51fb-2c82-49e2-8765-1d29b43d5b5e · inbound

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models cites this paper.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T16:31:17.661966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23278487-8ae8-4dd8-b04e-786112a023a7 · inbound

The Science of Evaluating Foundation Models cites this paper.

The Science of Evaluating Foundation Models Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:42.817579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5f8352-dbbc-4294-a3e6-7d58635982c2 · inbound

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations cites this paper.

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:35.676486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb725e4-f79e-4624-ab99-accb7d51ac7d · inbound

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers cites this paper.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:29.455077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9107e3fd-8603-4a32-a44d-be449cadec45 · inbound

ELEPHANT: Measuring and understanding social sycophancy in LLMs cites this paper.

ELEPHANT: Measuring and understanding social sycophancy in LLMs Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:39:31.353950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bfb8863-0cd7-4576-9021-d7abd028e4a2 · inbound

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions cites this paper.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:20.121242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbef506a-d2e8-4f1b-8ca0-42d10430c43e · inbound

Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning cites this paper.

Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:54.287418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc61e025-ed8c-458b-be52-30f771a8f166 · inbound

Agentic Enterprise: AI-Centric User to User-Centric AI cites this paper.

Agentic Enterprise: AI-Centric User to User-Centric AI Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:02.959175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b34ab2f-3d1c-4522-9cb7-81606f9fe6a4 · inbound

Synthetic Heuristic Evaluation: A Comparison between AI- and Human-Powered Usability Evaluation cites this paper.

Synthetic Heuristic Evaluation: A Comparison between AI- and Human-Powered Usability Evaluation Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:57.033222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b34a989e-e8b8-460a-b41d-e1f0273933fc · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:04.996814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a645bf24-977a-410b-879f-f9f0207c1f35 · inbound

Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know" cites this paper.

Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know" Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T04:28:06.255120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4529706e-cc37-4397-9eb3-26f70fcd65aa · inbound

FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning cites this paper.

FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:04.599387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f9bcc92f-f4c5-4476-8852-f98b98515043 · inbound

LLM Reasoning Is Latent, Not the Chain of Thought cites this paper.

LLM Reasoning Is Latent, Not the Chain of Thought Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:53:04.680894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 18d1d14f-2605-4606-93c1-0848b936c14e · inbound

When Reasoning Traces Become Performative: Step-Level Evidence that Chain-of-Thought Is an Imperfect Oversight Channel cites this paper.

When Reasoning Traces Become Performative: Step-Level Evidence that Chain-of-Thought Is an Imperfect Oversight Channel Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:32:24.396026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7fad514f-fb6c-4978-966b-601bacb6437f · inbound

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces cites this paper.

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:03.777872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aef57eb9-75de-4a45-b17f-4a8722b5b762 · inbound

CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought Faithfulness cites this paper.

CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought Faithfulness Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T14:17:27.211436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2ce9ba4-6f6a-4d17-9e05-a09697d9ed41 · inbound

REFACT: Adaptive Fact Restatement for Compact and Faithful Chain-of-Thought Reasoning cites this paper.

REFACT: Adaptive Fact Restatement for Compact and Faithful Chain-of-Thought Reasoning Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T09:18:46.104515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2e2fb1-3698-4fcb-9c13-e903943ccde1 · inbound

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

Training Large Language Models for Self-Explanation Faithfulness Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-01T08:36:28.219385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 028abe96-eff7-401a-acb2-aa8fc1769d05 · inbound

From Atomic Evidence to Logical Composition: Structured Compositional Reasoning over Compound Answer Options cites this paper.

From Atomic Evidence to Logical Composition: Structured Compositional Reasoning over Compound Answer Options Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:24:13.449003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.