Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.04672.
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 2026-08-03T06:46:16.670427Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 8ec1b7a8-696f-4c43-a76c-8fda0ea389ad · inbound
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications cites this paper.
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
Reference 165
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:46:16.670427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0d3b2ca-6998-4be9-9d08-749536e122d2 · inbound
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking cites this paper.
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:34:18.388395Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46adc00a-181d-451b-9f32-d3f7502042c7 · inbound
Optimization of Collaborative Semantic Communication Network Performance with Channel and Content Preference Feedback cites this paper.
Optimization of Collaborative Semantic Communication Network Performance with Channel and Content Preference Feedback Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T03:43:06.055329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.