Paper Citation Record · LEDGER

Active Prompting with Chain-of-Thought for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2302.12246.

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

pith.paper-citation-record.v1
2302.12246 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:07.064977Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:29:34.415181Z

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 ec06e8f9-56fd-4b41-ae4d-818c8089de94 · inbound

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate cites this paper.

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate Active Prompting with Chain-of-Thought for Large Language Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:00:15.812039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 280a1c33-6f11-4b42-a399-68bda9e28010 · inbound

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications cites this paper.

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications Active Prompting with Chain-of-Thought for Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T21:52:10.413259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51b558d7-2c30-405d-8b56-8aabfedefab0 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Active Prompting with Chain-of-Thought for Large Language Models

Reference 168

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:32:17.442697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 594754b6-8d13-45d2-a89c-89e30b692b3d · inbound

Mixture-of-Agents Enhances Large Language Model Capabilities cites this paper.

Mixture-of-Agents Enhances Large Language Model Capabilities Active Prompting with Chain-of-Thought for Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:29:34.420358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d40ebdd4-1a0b-46d3-8ed2-054d16d74353 · inbound

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications cites this paper.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Active Prompting with Chain-of-Thought for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:07.064977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c754ec0a-1e7d-4e88-a383-b57181211238 · inbound

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought cites this paper.

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought Active Prompting with Chain-of-Thought for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:57.802936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f6b106d-5378-4f7f-bd1f-2bf41c12e7be · inbound

Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning cites this paper.

Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning Active Prompting with Chain-of-Thought for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:02.534820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d1215e-68a7-4ac3-8ccb-d1c41b4872b2 · inbound

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic cites this paper.

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic Active Prompting with Chain-of-Thought for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:00.691353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93047fa-a45b-4632-8ee3-edd78f5fda81 · inbound

The Challenge of Teaching Reasoning to LLMs Without RL or Distillation cites this paper.

The Challenge of Teaching Reasoning to LLMs Without RL or Distillation Active Prompting with Chain-of-Thought for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:17.063408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31f2cf86-fc70-4e7f-aab6-1794523522c1 · inbound

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents Active Prompting with Chain-of-Thought for Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T11:48:45.394668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e569c3d0-8d19-4a3d-896b-1e2cbd5e1da1 · inbound

Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning cites this paper.

Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning Active Prompting with Chain-of-Thought for Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:17:26.743982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d75bf083-5166-4d61-98a6-94a4e93816f8 · inbound

Spatial Atlas: Compute-Grounded Reasoning for Spatial-Aware Research Agent Benchmarks cites this paper.

Spatial Atlas: Compute-Grounded Reasoning for Spatial-Aware Research Agent Benchmarks Active Prompting with Chain-of-Thought for Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:01.201698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc77ecf9-1083-4ac9-aae9-c72572a57d35 · inbound

Keyword Matters: Unveiling the Energy Sensitivity of On-Device LLM Prompting cites this paper.

Keyword Matters: Unveiling the Energy Sensitivity of On-Device LLM Prompting Active Prompting with Chain-of-Thought for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T12:37:16.379427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba1f97c-916a-4e97-a034-c1dcea7625e3 · inbound

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve cites this paper.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Active Prompting with Chain-of-Thought for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:19.964462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.