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Paper Citation Record · LEDGER

Automating Botnet Detection with Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:39:49.867395Z

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 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T08:35:56.597939Z digest=sha256:d71cfcbd10252b9a4de50d086cc0770995ef7a8d7590abd6e9e50598501d9ba2

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.

source=pdf_text observed=2026-07-12T05:39:49.867395Z digest=sha256:44b36e73d560f2ec2710278f0ffc5ad194829acdb647909fff1b5a88148f1fca

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.

source=arxiv_source observed=2026-07-12T01:21:58.690619Z digest=sha256:96a058654db131240e3595b273514941e2d9d37a5bbc7e02817ba84dc9c9469b