Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.00961.
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 2026-08-06T22:47:09.148112Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:28:41.419995Z
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 dd5918c2-3556-4ae0-aa21-2953344bb984 · inbound
Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis cites this paper.
Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:47:09.148112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bee94247-37e9-4962-b5e9-b0eced620920 · 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 CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:28:41.427368Z
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.