Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.06370.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:43:53.034369Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:00:16.653678Z
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 80a78b90-59ec-43a0-9dad-eb2e8c3343ca · inbound
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models cites this paper.
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:43:53.034369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e5ba2e6-e5fb-4eb8-ab8e-195b96f2f01f · inbound
NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment cites this paper.
NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:00:16.761916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.