Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18736.
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 2026-08-06T22:48:56.109272Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T10:26:51.439129Z
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 b345d6ca-41ac-4696-a187-33121b21909b · inbound
Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS cites this paper.
Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:48:56.109272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59013de0-454c-4e22-adf1-b89c2543772c · inbound
REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack cites this paper.
REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:28:35.868329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e68d23f-e80e-43b8-b3d3-94c5e7674fb9 · inbound
Detecting Adversarial Evasion Attacks Against Autoencoder-Based Network Intrusion Detection Systems cites this paper.
Detecting Adversarial Evasion Attacks Against Autoencoder-Based Network Intrusion Detection Systems Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T10:26:51.440956Z
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.