Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.04054.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T15:03:12.264259Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:24:53.186244Z
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 8f81a8a1-506c-4d20-b883-32854f761e80 · inbound
A KL-regularization Framework for Learning to Plan with Adaptive Priors cites this paper.
A KL-regularization Framework for Learning to Plan with Adaptive Priors PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:24:53.189897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ae0051b8-7ae2-4e61-9fe1-51a54eb0058b · inbound
Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving cites this paper.
Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T11:59:59.514443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 13d00245-7b83-41f2-9bbf-f491c2ac7b97 · inbound
STeP: Signal Temporal Logic for Precise Specifications for Action Generation with Vision Language Models cites this paper.
STeP: Signal Temporal Logic for Precise Specifications for Action Generation with Vision Language Models PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:03:12.264259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.