Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LMM-enhanced Safety-Critical Scenario Generation for Autonomous Driving System Testing From Non-Accident Traffic Videos
As of 25 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.10857.
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 2026-07-25T06:30:59.84592+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T13:18:30.486507Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:21:35.695771Z
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 dd71634b-52b1-4492-8a66-7feb50d08a59 · inbound
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios cites this paper.
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios LMM-enhanced Safety-Critical Scenario Generation for Autonomous Driving System Testing From Non-Accident Traffic Videos
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:21:35.698956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.
Observation 2faa46a5-5dcc-4474-b2a1-5b458190e393 · inbound
PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment cites this paper.
PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment LMM-enhanced Safety-Critical Scenario Generation for Autonomous Driving System Testing From Non-Accident Traffic Videos
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T19:18:54.625566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-25T06:30:59.84592+00:00.