Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Applying Large Language Models to Power Systems: Potential Security Threats
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.13361.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:15:47.810263Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:56:04.843548Z
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 e76f8210-5ea6-4d2d-944f-91190d606c72 · inbound
PFAgent: A Tractable and Self-Evolving Power-Flow Agent for Interactive Grid Analysis cites this paper.
PFAgent: A Tractable and Self-Evolving Power-Flow Agent for Interactive Grid Analysis Applying Large Language Models to Power Systems: Potential Security Threats
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:56:04.849182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.