Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Explaining Network Intrusion Detection System Using Explainable AI Framework
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.07110.
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 2026-08-07T05:27:33.267727Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T07:54:43.089215Z
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 70a5d87a-6eab-4040-a1b7-9b77496464c6 · inbound
Evaluating explainable AI for deep learning-based network intrusion detection system alert classification cites this paper.
Evaluating explainable AI for deep learning-based network intrusion detection system alert classification Explaining Network Intrusion Detection System Using Explainable AI Framework
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:27:33.267727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b6cd157-9037-4d30-b7d5-01e8a827bb67 · inbound
Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets cites this paper.
Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets Explaining Network Intrusion Detection System Using Explainable AI Framework
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T07:54:43.091761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.