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Paper Citation Record · LEDGER

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2212.10001.

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

pith.paper-citation-record.v1
2212.10001 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:41:32.531338Z

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

9
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 573a0b81-4faa-45e2-b2fe-bb738b523942 · inbound

Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.

Towards Expert-Level Medical Question Answering with Large Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:32:33.618342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-24T04:32:33.271634Z digest=sha256:48505956248ece355fac18edef7cb996b611d3f3e35c4cecaa0c1a8cd03c6297

Observation ba27426c-431b-42dd-827a-9b00cf0d4092 · inbound

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback cites this paper.

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:32:28.013923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T21:32:27.806494Z digest=sha256:2b8d93ad0525b2d3946b5f4b820d5dadf7162fcd7bb59889f0fbdeeb7d9d8886

Observation 5e1babae-523a-425d-8438-b31ab05443fe · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 125

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:04:10.652277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-17T12:04:10.210508Z digest=sha256:4be2cf55dd11bf0239a4b339ba4d0198f975d90fa844c3bea3b890f62944fc6d

Observation d8cbbbcd-cec7-408b-832f-a025516fb4fc · inbound

Training Large Language Models to Reason in a Continuous Latent Space cites this paper.

Training Large Language Models to Reason in a Continuous Latent Space Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:29:05.843182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T10:29:05.384381Z digest=sha256:53210114b4f2f27c98d8d009e6e3c4a0d34f77419feb055327345e3ebf405bba

Observation 909104fc-f6bc-403b-bcd1-2c34922e305e · inbound

Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models cites this paper.

Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T18:41:32.531338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:41:32.531338Z digest=sha256:97f397186549d25d5049cb1e7eb8c6997c2ab10214a31d1274e137a7853432a5

Observation 173ef2ff-54f8-439b-adec-bcbda335e871 · inbound

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion cites this paper.

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T18:39:26.873992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:39:26.873992Z digest=sha256:720384cef65abae34d71d4e1879e7f9f403618e8d5d1a23d5a47c4c3ef01d660

Observation d2720872-3cda-4532-bf12-a9a4e8fc54e8 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 181

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:02:45.118046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T13:02:43.571234Z digest=sha256:9fa2f35b52acc68887c58d17bd436a9820235389d492cbd1c24ed2c49d5e5407

Observation b91d63d8-6028-4394-83f3-e7d694b1c80f · inbound

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:54.752609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:54.752609Z digest=sha256:19339fc172580f858fb01e0347d0fc2a0ed207c0323c443746c2da2333a5f033

Observation 54c04625-fb6d-4afd-a67b-5184e21149d3 · inbound

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience cites this paper.

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:01.203439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:02:01.203439Z digest=sha256:ca0bd99102c3def886810632897dc4ee13007e390f91afe1367e8f0148cd22cb

Observation e489ebc3-cc2f-4070-8a70-64637c89b932 · inbound

SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning cites this paper.

SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:03.162009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:03.162009Z digest=sha256:0e580547a51fb4ae058adc8aef67f7aaccb1b47b1702a030e1c68024ef6b3913

Observation b820f736-39c1-48c9-8252-0031a060102b · inbound

A Statistical Physics of Language Model Reasoning cites this paper.

A Statistical Physics of Language Model Reasoning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:54.238608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:50:54.238608Z digest=sha256:e9322919f066448ff23743f202d670f9f773b242a19f0e892c816b40fb3cc99f

Observation baf7a07b-7520-4b4b-ad2f-faac2d4e86b9 · inbound

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models cites this paper.

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T06:09:18.865615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:09:18.865615Z digest=sha256:bb007aa4a004b50a3fae015653186d1f8ade5de1ac33ceffa2f2ec0a6fc4aca5

Observation dada2299-e478-4505-a5b2-83ec775c3ed9 · inbound

Distinct Computations Emerge From Compositional Curricula in In-Context Learning cites this paper.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:59.042862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:59.042862Z digest=sha256:b41bbe64859f162e44c8931e41191fd736d4d718cf64e97b8c2b19a9761ae4ed

Observation 3bbc517c-394d-4f27-b53a-39185559dc19 · inbound

WebGuard: Building a Generalizable Guardrail for Web Agents cites this paper.

WebGuard: Building a Generalizable Guardrail for Web Agents Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:50.719954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:50.719954Z digest=sha256:0ab21fd8f2b9e2006557a5d555583688090f3ef14b76a1b3953c760863f765b1

Observation 327841fc-0247-4d77-829c-1b6491e081e8 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:50.852037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T00:37:11.945418Z digest=sha256:241653cf13ff2f8eb2282cc9b683f60e8f9d7d7263bfeb742c1b3af73bef9265

Observation 24a463b9-bcb9-479c-9c74-10d3354b88aa · inbound

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting cites this paper.

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:59.598970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:59.598970Z digest=sha256:237aa7e38c4f04363cf4a1a3cc037749c8b7b8bb917075b9b42f471fa0208a8e

Observation 9f7f78bc-dc1d-4a6c-9f4d-158b6e3b13e7 · inbound

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization cites this paper.

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T09:48:09.510930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:48:09.510930Z digest=sha256:52e616ceb43c2b87f970a1bc198e473e494f16e0b64b79c1508ada6c5c3a17d4

Observation e8b922bd-8073-489b-a3a2-d81e7b72e211 · inbound

NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning cites this paper.

NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:41:24.332031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T00:51:40.815981Z digest=sha256:0da225509dc8aa04717c122d1af13d4ca0b77cef5bd01a5b5a6fe2c6bec9d25b

Observation e41c3365-be8c-4bf5-9f48-9af7ae4b5467 · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:23.529620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:22f091f91500fba12892cbc70d14246c2ffa848328751e39dd7f29570fefdcbb