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Paper Citation Record · LEDGER

GCNIDS: Graph Convolutional Network-Based Intrusion Detection System for CAN Bus

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.10173.

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

pith.paper-citation-record.v1
2309.10173 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:25:23.798704Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:35:49.840112Z

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 070f8e94-6238-4c50-af2a-0bcfd9b31b62 · inbound

Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles cites this paper.

Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles GCNIDS: Graph Convolutional Network-Based Intrusion Detection System for CAN Bus

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T23:25:23.798704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:25:23.798704Z digest=sha256:1aed1f9f10f81c2a5c559ad68429fdc6e82e75564abd771425fee28fa8f1dd44

Observation 43a39c32-6ad1-4bc7-8299-7c68003eea0a · inbound

GUARD-CAN: Graph-Understanding and Recurrent Architecture for CAN Anomaly Detection cites this paper.

GUARD-CAN: Graph-Understanding and Recurrent Architecture for CAN Anomaly Detection GCNIDS: Graph Convolutional Network-Based Intrusion Detection System for CAN Bus

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:35:49.887981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T12:35:49.567911Z digest=sha256:39e2b1d5188f4b79dc5cb376d94bfb7cc65e5f2dba964794fe9f3c0f1aac4552