Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Meta Prompting for AI Systems
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.11482.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:15:09.359445Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a2bf41f0-39e9-44a7-964c-d7055b8538fb · inbound
Training and Evaluating Language Models with Template-based Data Generation cites this paper.
Training and Evaluating Language Models with Template-based Data Generation Meta Prompting for AI Systems
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 15f05959-4f7b-413e-983e-5bf038ca28d5 · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models Meta Prompting for AI Systems
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ae5f4328-5574-4821-9a42-32855bffe670 · inbound
Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models cites this paper.
Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models Meta Prompting for AI Systems
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:15:09.359445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d692b6d-919c-4e8a-a7af-200785d89fa1 · inbound
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Meta Prompting for AI Systems
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:50:31.985457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb9bd6a4-8081-4915-b756-a452f09218ab · inbound
VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection cites this paper.
VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection Meta Prompting for AI Systems
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2477d88b-044a-45c2-9dce-50db0186b053 · inbound
A Two-Stage LLM Framework for Accessible and Verified XAI Explanations cites this paper.
A Two-Stage LLM Framework for Accessible and Verified XAI Explanations Meta Prompting for AI Systems
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e583f0d5-6284-4468-922a-3d6cdb444b82 · inbound
Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels cites this paper.
Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels Meta Prompting for AI Systems
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa069486-8741-4de2-b416-0cd11f8be3e0 · inbound
On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies cites this paper.
On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies Meta Prompting for AI Systems
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation be9952f5-5030-41a5-ac38-677c58604794 · inbound
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Meta Prompting for AI Systems
Reference 124
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7700c4dc-2d7d-44a1-b199-158b60badfbd · inbound
Concretized Proposition Prompting Resolves Composition-Knowledge Dichotomy in Large Language Models cites this paper.
Concretized Proposition Prompting Resolves Composition-Knowledge Dichotomy in Large Language Models Meta Prompting for AI Systems
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-08-05T01:33:12.225533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.