Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
As of 19 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.04412.
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 2026-07-19T06:30:13.599613+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T03:31:04.614079Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T03:56:35.165382Z
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 9acd43ad-286d-4227-9b0f-12c01efd24b7 · inbound
Intrinsic Vicarious Conditioning for Deep Reinforcement Learning cites this paper.
Intrinsic Vicarious Conditioning for Deep Reinforcement Learning Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:07:22.318071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.
Observation 88d91aaf-60a4-4084-9c2b-37811cc55d49 · inbound
MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning cites this paper.
MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T03:56:35.166922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.
Observation 8ca493b0-3abd-4869-a208-d7b9e5f71bd0 · inbound
AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations cites this paper.
AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T03:31:04.614079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.