Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.08854.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:18:01.645780Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T22:06:15.822828Z
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 4f684afe-9246-4abb-9208-07557560834b · inbound
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm cites this paper.
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:18:01.645780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ba800c4-7885-43b8-bdd2-0c113d04e2d5 · inbound
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
Reference 188
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:15:32.179151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8e82061-69b5-470e-8b42-3d97404350ca · inbound
Deep Generative Model-Aided Power System Dynamic State Estimation and Reconstruction with Unknown Control Inputs or Data Distributions cites this paper.
Deep Generative Model-Aided Power System Dynamic State Estimation and Reconstruction with Unknown Control Inputs or Data Distributions Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:06:15.830262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.