Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.09451.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:13.850822Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T01:43:57.083698Z
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 227b6016-3881-4546-a4cd-2b9d0f5f58fc · inbound
Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.
Generative AI for Testing of Autonomous Driving Systems: A Survey DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
Reference 270
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:24:16.535944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 317b2198-c689-4e5d-a0bc-9a77c4193271 · inbound
A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods cites this paper.
A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:54:39.817651Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35618ffd-ae77-4991-ae62-fa1e895b096f · inbound
Ozone: A Unified Platform for Transportation Research cites this paper.
Ozone: A Unified Platform for Transportation Research DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:26:00.181726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9a2d95fc-b689-4260-9f16-1e52c8c48c7a · inbound
Ozone: A Unified Platform for Transportation Research cites this paper.
Ozone: A Unified Platform for Transportation Research DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T01:43:57.086798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 19154ee5-3ebd-4f44-9016-16f1c9dcedd8 · inbound
NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment cites this paper.
NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:00:13.850822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.