Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.14600.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:46.674667Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:26:54.131165Z
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 71205f8e-4383-4d00-9d6c-bb841a107a65 · inbound
A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles cites this paper.
A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:46.674667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28b342c7-1eee-4852-9780-195b64166caa · inbound
Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation cites this paper.
Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:26:54.138339Z
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.
Observation 6408b7ca-c822-4b6c-b009-74fff60f1eb0 · inbound
SoK: Federated Learning for Intrusion Detection in Vehicular Networks cites this paper.
SoK: Federated Learning for Intrusion Detection in Vehicular Networks A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T08:20:27.345797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.