Paper Citation Record · LEDGER

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

As of 21 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:58:32.016341Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 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 2026-07-21T06:31:05.380196+00:00.

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 2026-07-21T06:31:05.380196+00:00.

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 2026-07-21T06:31:05.380196+00:00.

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 2026-07-21T06:31:05.380196+00:00.

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 2026-07-21T06:31:05.380196+00:00.

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 2026-07-21T06:31:05.380196+00:00.

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 2026-07-21T06:31:05.380196+00:00.

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 2026-07-21T06:31:05.380196+00:00.