Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.13597.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:03:56.857735Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:28:41.718197Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7fc69e7b-42ad-44a4-9194-998fb8ff59b8 · inbound
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24b138db-9b6b-41ba-98c3-95d016b05204 · inbound
Network Risk Estimation: A Risk Estimation Paradigm for Cyber Networks Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f0cbfa3-1e3b-4c26-af5d-02b94a87bdf3 · inbound
Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca505cbe-486d-4802-8ec6-d3e44ea284d9 · inbound
REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.