Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
End-to-End Race Driving with Deep Reinforcement Learning
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1807.02371.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:20.972128Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
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 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 95158606-dc5b-46ef-b487-cac96a7f1623 · inbound
Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Methodology for Vulnerable Road User Safety cites this paper.
Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Methodology for Vulnerable Road User Safety End-to-End Race Driving with Deep Reinforcement Learning
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:20.972128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bc9d875-d901-4bf8-bc4d-89e849ac7aa8 · inbound
Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety cites this paper.
Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety End-to-End Race Driving with Deep Reinforcement Learning
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:30:07.406597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a38269f2-9c5e-46f5-8617-6465a44fa726 · inbound
Learning High-Level Decision Making with an Interaction-Aware Attention-Based Network in Autonomous Driving cites this paper.
Learning High-Level Decision Making with an Interaction-Aware Attention-Based Network in Autonomous Driving End-to-End Race Driving with Deep Reinforcement Learning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T16:59:14.895571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.