Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.17311.
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 2026-08-15T22:25:10.188618Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:11:02.949590Z
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 4074b554-4c0b-4be5-bb33-ff40927f5611 · inbound
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing cites this paper.
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:25:10.188618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fae892e7-bc50-49a2-bdbd-23bc83a39a4e · inbound
New Scheme Adaption Strategy for Hyperbolic Conservation Laws cites this paper.
New Scheme Adaption Strategy for Hyperbolic Conservation Laws RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:09:48.353960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb25bf58-23fd-4252-a324-524044a0f6d2 · inbound
Physics-Informed Reinforcement Learning of Spatial Density Velocity Potentials for Map-Free Racing cites this paper.
Physics-Informed Reinforcement Learning of Spatial Density Velocity Potentials for Map-Free Racing RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:11:02.955149Z
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.