Paper Citation Record · LEDGER

Automating Botnet Detection with Graph Neural Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2003.06344.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2003.06344 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:19:05.938309Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T08:36:07.260875Z

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 e5aca974-0b38-45d6-9bc6-6ba05dcab6fe · inbound

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics cites this paper.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Automating Botnet Detection with Graph Neural Networks

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T23:19:05.938309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe610953-ea1a-4c07-979a-adbcd0a25997 · inbound

GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection cites this paper.

GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection Automating Botnet Detection with Graph Neural Networks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:36:07.264332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 70cf6048-b7d5-43d0-8b2b-95cac249f231 · inbound

Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN cites this paper.

Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN Automating Botnet Detection with Graph Neural Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T05:39:49.867395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df81487c-83e9-4831-ae82-9cb3f4fb1151 · inbound

Graph Classification via Network Usable Information: From Representation Evaluation to Structure Selection cites this paper.

Graph Classification via Network Usable Information: From Representation Evaluation to Structure Selection Automating Botnet Detection with Graph Neural Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T01:21:58.690619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.