Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.13547.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:14:56.380845Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:13:46.012182Z
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 464c8fa0-d91b-4a50-a26b-535d2d4df684 · inbound
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features cites this paper.
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:47:25.501726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad1e3338-0854-496e-8bf4-1c981944b598 · inbound
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving cites this paper.
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:25:15.416295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b3246d2-4b7d-4af9-b661-9b7cf94edc03 · inbound
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model
Reference 180
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:37:04.930686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2955249e-90f9-4eb5-9b9b-46dc8365f238 · inbound
GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching cites this paper.
GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:14:56.380845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b0f2862-310e-474d-b8e6-c4f75ddf3572 · inbound
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:13:46.115841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.