Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
State-of-the-Art Survey on In-Vehicle Network Communication (CAN-Bus) Security and Vulnerabilities
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1802.01725.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:20.513964Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:58:20.864911Z
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 4500e1d3-342c-45bf-abf7-4d86536e1d5d · inbound
Vehicular Intrusion Detection System for Controller Area Network: A Comprehensive Survey and Evaluation cites this paper.
Vehicular Intrusion Detection System for Controller Area Network: A Comprehensive Survey and Evaluation State-of-the-Art Survey on In-Vehicle Network Communication (CAN-Bus) Security and Vulnerabilities
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:53:20.513964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbde7f3b-2de4-4f19-96ef-5987a3603d24 · inbound
SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks cites this paper.
SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks State-of-the-Art Survey on In-Vehicle Network Communication (CAN-Bus) Security and Vulnerabilities
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:58:20.870791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bae66c22-6707-425c-bfe9-82284516e6fd · inbound
SoK: Federated Learning for Intrusion Detection in Vehicular Networks cites this paper.
SoK: Federated Learning for Intrusion Detection in Vehicular Networks State-of-the-Art Survey on In-Vehicle Network Communication (CAN-Bus) Security and Vulnerabilities
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T08:20:27.345797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.