Paper Citation Record · LEDGER

Metacognitive Prompting Improves Understanding in Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2308.05342.

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

pith.paper-citation-record.v1
2308.05342 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:52:15.976781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:41.832595Z

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 7794d0df-b69e-4901-b852-50b43ee9faed · inbound

Logic Augmented Generation cites this paper.

Logic Augmented Generation Metacognitive Prompting Improves Understanding in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T15:41:09.284932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39729a20-3ec0-4bd7-bfa2-e7fcdf9a8336 · inbound

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection cites this paper.

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection Metacognitive Prompting Improves Understanding in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:15.632547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0316131e-e596-4a94-b572-62bb31d93c1c · 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 Metacognitive Prompting Improves Understanding in Large Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T22:51:52.396859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ed5c82e-5a2f-4981-85b3-0e38ec60b5f2 · inbound

AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation cites this paper.

AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation Metacognitive Prompting Improves Understanding in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:15.976781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038b0e5a-9e7a-4927-b072-1ceb8dd715fc · inbound

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? cites this paper.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? Metacognitive Prompting Improves Understanding in Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:06.542367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826d8912-74f2-4584-b80b-3f1c67ba4610 · inbound

Bhatt Conjectures: On Necessary-But-Not-Sufficient Benchmark Tautology for Human Like Reasoning cites this paper.

Bhatt Conjectures: On Necessary-But-Not-Sufficient Benchmark Tautology for Human Like Reasoning Metacognitive Prompting Improves Understanding in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:30.612252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 449b75a8-8dd2-4d9c-b75c-5fc000c7d5c1 · inbound

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap Metacognitive Prompting Improves Understanding in Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:06.015943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0faa58fa-497b-461b-a3d2-0cc3c530e260 · inbound

Referential ambiguity and clarification requests: comparing human and LLM behaviour cites this paper.

Referential ambiguity and clarification requests: comparing human and LLM behaviour Metacognitive Prompting Improves Understanding in Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:20.431046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 458711aa-ebd6-402c-8104-1ace64a19175 · inbound

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code cites this paper.

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code Metacognitive Prompting Improves Understanding in Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:19.915910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890cdfd4-f2b8-4482-bbd6-c64ad2cb5f37 · inbound

MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design cites this paper.

MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design Metacognitive Prompting Improves Understanding in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T17:45:48.570933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc8f8d58-00db-45eb-8704-fe15b24a7dfa · inbound

Latent Confidence Alignment for LLM Self-Assessment cites this paper.

Latent Confidence Alignment for LLM Self-Assessment Metacognitive Prompting Improves Understanding in Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:39:41.834113Z

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.