Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.18062.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:27.724039Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:56:54.682606Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 6b8127bd-9ca7-4930-a9fb-07310a14803b · inbound
Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1e6958f-7935-4161-a2ca-484ab5c09c91 · inbound
Generative AI for Autonomous Driving: Frontiers and Opportunities Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities
Reference 99
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b37944c6-7da8-4287-ab99-0979e3d74ec4 · inbound
Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 07778636-ce17-44d9-ae43-3c9843c38bd9 · inbound
AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.