Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Long Short-Term Memory Neural Networks for False Information Attack Detection in Software-Defined In-Vehicle Network
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.10203.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:58:20.745398Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:26:54.612178Z
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 00b82407-58d0-480b-8454-6b1c1321747f · 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 Long Short-Term Memory Neural Networks for False Information Attack Detection in Software-Defined In-Vehicle Network
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:20.745398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 961e5253-1962-4edf-8783-be9072647ac2 · 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 Long Short-Term Memory Neural Networks for False Information Attack Detection in Software-Defined In-Vehicle Network
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:26:54.617197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.