Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fully Unified Motion Planning for End-to-End Autonomous Driving
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.12667.
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 2026-08-06T21:31:04.588876Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T14:14:45.849636Z
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 6b80e62b-0141-4228-8bbd-3fd7451e7954 · inbound
A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.
A Survey on Vision-Language-Action Models for Autonomous Driving Fully Unified Motion Planning for End-to-End Autonomous Driving
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:31:04.588876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 052126a3-3574-4393-abfa-6d488bd9887a · inbound
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving Fully Unified Motion Planning for End-to-End Autonomous Driving
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:04:04.329512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba69e8dd-462b-4c83-9f5b-6383678db75b · inbound
GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving cites this paper.
GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving Fully Unified Motion Planning for End-to-End Autonomous Driving
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:59:55.122223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2a97bac-f29d-4ed4-8fcf-d1a196aa1191 · inbound
DriveFuture: Future-Aware Latent World Models for Autonomous Driving cites this paper.
DriveFuture: Future-Aware Latent World Models for Autonomous Driving Fully Unified Motion Planning for End-to-End Autonomous Driving
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:01:17.936723Z
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 eaaba46e-5d61-431c-baf3-a4e4f0f47a16 · inbound
SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation cites this paper.
SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation Fully Unified Motion Planning for End-to-End Autonomous Driving
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T14:14:45.851188Z
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.