Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.10320.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:34:39.484090Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:26:54.900835Z
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 80f3dd0a-0d9b-4311-bd0f-4883dea2369d · inbound
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models cites this paper.
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:34:39.484090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ffcf8e4-8f97-478e-8c8e-a71b03a3646f · inbound
RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding cites this paper.
RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:34:04.026942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1b075b4-c1d8-40cd-9f73-e80656631827 · inbound
Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity cites this paper.
Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:26:54.918890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.