Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.00972.
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 2026-08-05T15:24:15.911418Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T05:46:01.467877Z
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 dabd44af-e515-4680-bd52-8bf4838405eb · inbound
Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.
Generative AI for Testing of Autonomous Driving Systems: A Survey Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Reference 148
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:24:15.911418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff35c4a7-a63a-4448-9b18-674bf99cfe5f · inbound
Steerable Adversarial Scenario Generation through Test-Time Preference Alignment cites this paper.
Steerable Adversarial Scenario Generation through Test-Time Preference Alignment Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T14:16:27.881808Z
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 75faa04b-f419-4be8-b585-0cf3786be4f8 · inbound
CARLA-GS: Decoupling Representation, Reasoning, and Physics Simulation for Autonomous Driving Corner-Case Synthesis cites this paper.
CARLA-GS: Decoupling Representation, Reasoning, and Physics Simulation for Autonomous Driving Corner-Case Synthesis Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T05:46:01.471867Z
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.