Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.19918.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T14:53:33.349941Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:26:27.476196Z
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 6c33fcff-3904-4bd4-ac7f-17087b4d6980 · inbound
ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation cites this paper.
ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:26:27.477670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 784126e3-268d-4345-9833-13bf45830ae6 · inbound
Agent-driven Long-tail Simulation for Autonomous Driving cites this paper.
Agent-driven Long-tail Simulation for Autonomous Driving CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:01:39.628512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0c29fc7-2eb5-4bc7-8b48-2249570384b8 · inbound
End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation cites this paper.
End-to-end Conditional Diffusion for Realistic and Controllable Visual Traffic Scenario Generation CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:53:33.349941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.