Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.06680.
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 2026-08-05T17:03:28.619855Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:27:29.688578Z
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 23c6c351-afdf-44af-b671-92666f9eae3c · inbound
Multi-Agent Visual-Language Reasoning for Comprehensive Highway Scene Understanding cites this paper.
Multi-Agent Visual-Language Reasoning for Comprehensive Highway Scene Understanding Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:03:28.619855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2296af92-3aba-49bf-b00b-7f7ad0ffa918 · 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 Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:50:57.206977Z
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.
Observation 43242a66-dc68-4cb8-a3af-58e141a1001e · 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 Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:50:36.555689Z
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.
Observation aee234ee-929e-4b32-8ae2-c61d2a8c9c63 · inbound
Decoding Pedestrian Crossing Intention from Egocentric Vision via Vision Language Models cites this paper.
Decoding Pedestrian Crossing Intention from Egocentric Vision via Vision Language Models Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:27:29.690221Z
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.