Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2508.12404.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:26:07.904116Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:50:36.578046Z
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 d88263cb-d063-42a3-aaf3-6d2377b1f94f · inbound
Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning cites this paper.
Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:50:57.215951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8516b2bd-aa01-43e5-b983-078d1af32f3a · inbound
Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning cites this paper.
Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:50:36.579686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ad45164d-61ac-49c2-ac7b-df7de0ca19fd · inbound
Spatial-aware Vision Language Model for Autonomous Driving cites this paper.
Spatial-aware Vision Language Model for Autonomous Driving LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:26:07.904116Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d5dd3a4-14fe-4b33-87b0-685490bb3d3a · inbound
OpenLongTail: Generative Scaling of Long-Tail Driving Data cites this paper.
OpenLongTail: Generative Scaling of Long-Tail Driving Data LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T01:26:27.220907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.