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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:51:04.526137Z

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

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-14T00:00:15.372331Z digest=sha256:0bf591301129020c707e52d3592ab8df8639ba9c0c51bd29da547d7fca3c2b1a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T21:52:09.938550Z digest=sha256:96ace54277dbb9eeaf3abaaf8ffe942b2be89cc8f794a44cfe9bfd2f3bf30bd1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:eff37a9c4de04dcd184782a3bbd9ca20192661cf607739f79147a00e7cb5ea34

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T19:29:34.379712Z digest=sha256:a4b7b5a2d64390b9821bd093b045900a0861a60b6ad1cc1beb23e4cf1c5f3193

Observation 412905ea-939d-49df-b540-3a9f284310ec · inbound

Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection cites this paper.

Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection Active Prompting with Chain-of-Thought for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T05:33:56.087294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:33:56.087294Z digest=sha256:cd99265a28cbadd451a861580283a47fe7012256bad16348616a6a0e194d2199

Observation 42bc5b84-23a5-4535-845a-f63ba8ff5f46 · inbound

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting cites this paper.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Active Prompting with Chain-of-Thought for Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T05:21:05.094662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:21:05.094662Z digest=sha256:ce85aba3f261b1739ad8b40015a02a10b4ba1be6e6e1132c5f0322472dfe467a

Observation c4e1e30e-f2b9-4013-97da-2b5dcbcef79b · inbound

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Active Prompting with Chain-of-Thought for Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:52.372707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:52.372707Z digest=sha256:8eae483259c8559f9e7624cea26bc88102b95018d34f3eee7b657b3bfa07eeb4

Observation de0eced6-2ae1-4e33-960c-c46f45a887a6 · inbound

Pheromone-based Learning of Optimal Reasoning Paths cites this paper.

Pheromone-based Learning of Optimal Reasoning Paths Active Prompting with Chain-of-Thought for Large Language Models

Reference 9

Resolution
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no resolver link, observed 2026-08-09T20:47:53.580078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:47:53.580078Z digest=sha256:4d93d8d64a0772d0451784de7c287fc75f2dd91309f1869cc783af84db611228

Observation 25d1436f-46b7-4b85-bfb5-663a6f64163e · inbound

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement cites this paper.

Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement Active Prompting with Chain-of-Thought for Large Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T11:45:34.922515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:45:34.922515Z digest=sha256:736ac56a0e405072f5771aae5971d44ef42dd9dcc6d304be1f308850b7429f89

Observation 20c7502f-6df4-448e-a18e-d12c61c12f0c · inbound

The Rise of Small Language Models in Healthcare: A Comprehensive Survey cites this paper.

The Rise of Small Language Models in Healthcare: A Comprehensive Survey Active Prompting with Chain-of-Thought for Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T10:51:04.526137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:51:04.526137Z digest=sha256:38e048923ac4b2e60ced398fbdeafd89ef25050974624ee0b3a7fa81f19f075b

Observation 46640f91-083f-44fa-937e-6fdb3c56572d · inbound

SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning cites this paper.

SSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning Active Prompting with Chain-of-Thought for Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T04:35:04.901111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:35:04.901111Z digest=sha256:7447ccc18c7dbb4be78ebef4b6d85258d59ce6106277a8fda04045f0f365e7bb

Observation aba0cb60-e148-4e76-9c9a-a7357f2c17b8 · inbound

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience cites this paper.

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience Active Prompting with Chain-of-Thought for Large Language Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-15T23:31:12.249565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:31:12.249565Z digest=sha256:2abf0c8279c7b5a40491e0b7efb26345e40a5442a4d94955a3269c67dd8a9ef9

Observation 67a319a8-f9b6-46f9-ba0e-96c49ed867cc · inbound

Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning cites this paper.

Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning Active Prompting with Chain-of-Thought for Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:46.685954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:46.685954Z digest=sha256:836b8e69f6135fd731e5788171855d8ac3342136bc42dd6b5f73820c5e9fd5fc

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.

source=pdf_text observed=2026-08-07T15:14:07.064977Z digest=sha256:64e8bc4666f19ecd7ce01231d9fba1b91b820540a70437ecfac0d40f9296bb51

Observation 5ca961aa-0af9-415c-803a-be095bc1c91e · inbound

Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.

Generalizing Large Language Model Usability Across Resource-Constrained Active Prompting with Chain-of-Thought for Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T22:08:53.287605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:08:53.287605Z digest=sha256:70e96e5d5015f012182d481a3056cc8f8abdaf6b2950ab13b0849b4986b0b26a

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.

source=pdf_text observed=2026-08-07T12:38:57.802936Z digest=sha256:0bfde08665063edcdaa31c28310ff739119b65f6a602d133ca31824887e7647e

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.

source=pdf_text observed=2026-08-07T05:37:02.534820Z digest=sha256:e6e6503ae672e14f0c75020f610e110df679c29d51ef144cd483321e59415c17

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.

source=arxiv_source observed=2026-08-07T05:19:00.691353Z digest=sha256:f2116719c678604f12775b560e5b2a78359de6039e8ac3e8fa9bfe2bbb7ca647

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.

source=pdf_text observed=2026-08-06T17:51:17.063408Z digest=sha256:edaca250fd5f00c5542ff340b206f558dbb83a7b201973c66b880618877ec907

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.

source=pdf_text observed=2026-08-05T11:48:45.394668Z digest=sha256:d425f8ff20b62764558a9c19c4566975eab30650ccce730eb17dcbfdf2c3e91f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T06:13:33.315525Z digest=sha256:5c94db8217c026d727d6769643a7d0932fbf154eddf3c0816004748ba63d0b1c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:28:03.449453Z digest=sha256:1cba87b4b75da80939d644199efefed604005221824ca5e67f6113be579a3bae

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.

source=pdf_text observed=2026-08-02T12:37:16.379427Z digest=sha256:28ea44a6824b9c997c1c6553ce482c7ae4dcd771ffba3a75faf3775183e3210f

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:19.964462Z digest=sha256:fb433817d2c2d9c0c7827170ac83224df62b638132891f41bae8c3ad8e877c82