Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.03335.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:07.935113Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T00:16:25.058149Z
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 07a9f2b8-76da-438a-9cae-c6ce49bc9606 · inbound
On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0 cites this paper.
On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0 Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:48:07.935113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62bbed67-34f6-40aa-8ec3-4a4f22f0a568 · inbound
Large Language Models as Explainable Cyberattack Detectors for Energy Industrial Control Systems cites this paper.
Large Language Models as Explainable Cyberattack Detectors for Energy Industrial Control Systems Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:16:25.061529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.