Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unveiling the Stealthy Threat: Analyzing Slow Drift GPS Spoofing Attacks for Autonomous Vehicles in Urban Environments and Enabling the Resilience
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.01394.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T23:31:09.192074Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T22:23:04.004187Z
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 65322792-3068-42a6-9121-c655194f2db0 · inbound
Policy Stability for Measuring Operational Performance in Task Assignment with Time-Windows Under Internal Adversarial Influence cites this paper.
Policy Stability for Measuring Operational Performance in Task Assignment with Time-Windows Under Internal Adversarial Influence Unveiling the Stealthy Threat: Analyzing Slow Drift GPS Spoofing Attacks for Autonomous Vehicles in Urban Environments and Enabling the Resilience
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:31:09.192074Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5437dd34-be25-4f07-a8aa-b55a1d185c64 · inbound
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Unveiling the Stealthy Threat: Analyzing Slow Drift GPS Spoofing Attacks for Autonomous Vehicles in Urban Environments and Enabling the Resilience
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:23:04.007981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7234eee3-3b92-4538-a584-3786325a2593 · inbound
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses cites this paper.
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses Unveiling the Stealthy Threat: Analyzing Slow Drift GPS Spoofing Attacks for Autonomous Vehicles in Urban Environments and Enabling the Resilience
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T17:08:58.831798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.