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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.01687.

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

pith.paper-citation-record.v1
2407.01687 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:29:23.481760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:03:12.117101Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4dd219b2-251e-4ba7-9035-ae809d4c81c0 · inbound

Evaluating the Robustness of Analogical Reasoning in Large Language Models cites this paper.

Evaluating the Robustness of Analogical Reasoning in Large Language Models Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T15:29:23.481760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:29:23.481760Z digest=sha256:e28daa182a0ae98f17db923995096c7acd103edd9d1a4546a92434b1317214c1

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

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T21:59:01.447509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:59:01.447509Z digest=sha256:5b7f6a6bf19e2d7de21006e32843f2cabb641b8b06cebed2452e5753de8ad22c

Observation 2516bf43-1dc0-46e4-acbd-ca62a3e05fc6 · inbound

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions cites this paper.

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:50.075023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:50.075023Z digest=sha256:b031c881457ecc63183236316914b595a7e5073316d34c6a91a16dc2d2eba39c

Observation 8a373dc0-53cc-472a-94bf-55682df89ab9 · inbound

Understanding and Benchmarking Artificial Intelligence: OpenAI's o3 Is Not AGI cites this paper.

Understanding and Benchmarking Artificial Intelligence: OpenAI's o3 Is Not AGI Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T20:46:09.027865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:46:09.027865Z digest=sha256:3c948c6d3b517841611e1823de443e0589f384c0bddf3ff63f9f7a2ee2447964

Observation 71c4aa8d-703b-405a-b9be-7de45eb694b5 · inbound

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis cites this paper.

Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T20:07:27.836462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:07:27.836462Z digest=sha256:31ec7db221ea21d779844bed688ec359c253ad3b6dc03539b744ddbdc894230e

Observation 464cdb55-137b-488c-9a7e-905b70d717b0 · inbound

Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language Models cites this paper.

Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language Models Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:03:12.118525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T20:02:44.124502Z digest=sha256:380e42b419cd2f22ee95301d7c193016d935d1439e30ba67ce8a39bef76b9972