Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.22496.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:49:12.851239Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 78f03788-a06c-43fb-a19a-00d30c42b17b · inbound
Generative AI for Autonomous Driving: Frontiers and Opportunities cites this paper.
Generative AI for Autonomous Driving: Frontiers and Opportunities Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:49:12.851239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bfbdad6-32c9-4e2b-96aa-1cd5549c47e8 · inbound
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen cites this paper.
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:28:30.048291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10168e7a-6ad1-44ec-b0d8-ac2a2c946baf · inbound
Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation cites this paper.
Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:15:25.349480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3c4af93-9f89-4878-9f7a-60ee641f5247 · inbound
PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes cites this paper.
PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:41:41.578781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71f4ecb5-64cc-4445-9bf6-4edcf02c18c7 · 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 Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Reference 91
- Resolution
- verified exact
- local_arxiv, observed 2026-08-03T15:59:11.035465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.