Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2404.07464.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-03T20:18:02.667339Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:18:55.662974Z
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 d9bc1155-a289-4d56-8e2e-d32ec6555c5a · inbound
Generative AI and Federated Learning for Intrusion Detection Systems: A Survey cites this paper.
Generative AI and Federated Learning for Intrusion Detection Systems: A Survey Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:18:55.666462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.