Paper Citation Record · LEDGER

Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2401.12954.

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

pith.paper-citation-record.v1
2401.12954 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:47:36.951499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.129683Z

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 e1248052-def0-4dac-b53b-89351a231f4e · inbound

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration cites this paper.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T21:05:25.931994Z

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.

Observation 43a60d3c-8463-4b49-a553-03d6720337d6 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:54:54.278718Z

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.

Observation bcbc2671-1924-4e4c-930b-b1aeea554dce · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.295235Z

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.

Observation d6570f1f-ec07-4845-8aef-a4400505baa9 · inbound

Advancing AI Research Assistants with Expert-Involved Learning cites this paper.

Advancing AI Research Assistants with Expert-Involved Learning Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:21:46.939483Z

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.

Observation 61f4b939-b677-4c62-9cc1-b3916cbfed52 · inbound

Literature Review Of Multi-Agent Debate For Problem-Solving cites this paper.

Literature Review Of Multi-Agent Debate For Problem-Solving Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:47:36.951499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7f2d1a-e6e8-4733-a2a1-46ccd992e021 · inbound

What Makes a Good Natural Language Prompt? cites this paper.

What Makes a Good Natural Language Prompt? Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:36.330950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b04c6d-bf80-4b09-a7b8-a17ac92af637 · inbound

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences cites this paper.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.731350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d5d68b0-3e94-4698-896b-b14fc4879c64 · inbound

Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning cites this paper.

Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:14.892710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0907f567-e457-48f7-a07b-c72ff13fcca2 · inbound

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable cites this paper.

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T19:07:41.939484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f99848c-c01c-4585-9b85-abfd0c17315c · inbound

CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization cites this paper.

CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T09:42:44.611124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44a7516-f9e9-4a48-8262-2aac946822f1 · inbound

ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning cites this paper.

ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T17:53:55.963199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b30de4b1-53d1-4463-9b05-384c6dcb900a · inbound

Monadic Context Engineering cites this paper.

Monadic Context Engineering Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T13:55:59.063064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d013048-e858-4431-a9f8-dda949b6db4c · inbound

Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings cites this paper.

Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:35:52.586795Z

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.

Observation b7beaf38-f201-4f7c-b969-4a1dc704764e · inbound

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection cites this paper.

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:04.257232Z

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.

Observation 6697e58e-bcca-4299-9685-669e589d12a7 · inbound

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection cites this paper.

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T16:30:07.816896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2cc4e8-ce25-4915-ab33-1af52237ead4 · inbound

Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning cites this paper.

Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:21:27.126739Z

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.

Observation f6e443d1-d8a8-4543-a5c4-efbc9f7c3ad4 · inbound

Self-Describing Structured Data with Dual-Layer Guidance: A Lightweight Alternative to RAG for Precision Retrieval in Large-Scale LLM Knowledge Navigation cites this paper.

Self-Describing Structured Data with Dual-Layer Guidance: A Lightweight Alternative to RAG for Precision Retrieval in Large-Scale LLM Knowledge Navigation Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:43:12.163081Z

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.

Observation 8ac97596-51bb-4371-bce1-570ddcb2b84e · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.133203Z

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.

Observation 6b66cfd1-8871-4514-8014-cc0a119cb784 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:55:59.688158Z

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.

Observation 410ea48f-449c-4e0c-959b-911d2a35efd7 · inbound

Enhancing Fitness Intelligence through Domain-Specific LLM Post-Training cites this paper.

Enhancing Fitness Intelligence through Domain-Specific LLM Post-Training Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:18:12.277836Z

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.

Observation d36c835a-8f87-4e7b-b6f0-26f071a671f3 · inbound

Hierarchical Domain Generalization cites this paper.

Hierarchical Domain Generalization Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T20:54:06.920319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f50f5754-f44c-452b-9a70-2edbb9f94831 · inbound

PoCEvolve: Generating Proof-of-Concept Exploits from Security Patches with Vulnerability-Aware Prompt Evolution cites this paper.

PoCEvolve: Generating Proof-of-Concept Exploits from Security Patches with Vulnerability-Aware Prompt Evolution Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T05:55:25.661951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.