Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2411.00492.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T02:14:47.602873Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 082f35aa-6d33-43ee-ae89-fd3ea8bb089d · inbound
CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models cites this paper.
CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:14:47.602873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.