A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback | Paper Citation Record

Observation 45e090d0-500e-4ccc-8a84-326d67cd6e29 · outbound

This paper cites Named data networking in vehicular ad hoc networks: State-of-the-art and challenges,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Named data networking in vehicular ad hoc networks: State-of-the-art and challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.740398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae1ea162-5c84-4733-ac85-4ae736585919 · outbound

This paper cites A comprehensive simulation platform for space-air-ground integrated network,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback A comprehensive simulation platform for space-air-ground integrated network,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.728694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 322d8292-3b7a-4124-b535-5a83339e72df · outbound

This paper cites Intelligent task offloading in vehicular edge computing networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Intelligent task offloading in vehicular edge computing networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.717125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23e4c340-d562-4a7e-9991-af87db382eca · outbound

This paper cites Aerial-ground integrated vehicular networks: A UA V-vehicle collaboration perspective,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Aerial-ground integrated vehicular networks: A UA V-vehicle collaboration perspective,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.706513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f69e141-92ec-4bc2-a5a1-d8ca41ab697f · outbound

This paper cites UA V-assisted task offloading in vehicular edge computing networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback UA V-assisted task offloading in vehicular edge computing networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.694655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d38924a3-7256-41b4-b257-141f4a7f5d55 · outbound

This paper cites Leveraging UA Vs for coverage in cell-free vehicular networks: A deep reinforcement learning approach,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Leveraging UA Vs for coverage in cell-free vehicular networks: A deep reinforcement learning approach,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.678421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f1f72cd-8b28-40d1-ace6-77f973ffdfb2 · outbound

This paper cites RFID: Towards low latency and reliable DAG task scheduling over dynamic vehicular clouds,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback RFID: Towards low latency and reliable DAG task scheduling over dynamic vehicular clouds,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.662908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58047809-8d05-4281-af74-f526c02d8f18 · outbound

This paper cites Energy-efficient resource allocation for UA V-assisted vehicular networks with spectrum sharing,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Energy-efficient resource allocation for UA V-assisted vehicular networks with spectrum sharing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.647347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54a4b929-d911-411b-9701-b6e51e25395d · outbound

This paper cites Joint optimization of relay selection and transmission scheduling for UA V- aided mmwave vehicular networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Joint optimization of relay selection and transmission scheduling for UA V- aided mmwave vehicular networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.631894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2ff60d98-b839-44ec-8fb2-a33afa76b797 · outbound

This paper cites Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T17:49:15.041682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e02cbe89-8698-43d1-9fb6-9906faa6e473 · outbound

This paper cites Relaying data with joint optimization of energy and delay in cluster- based UA V-assisted vanets,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Relaying data with joint optimization of energy and delay in cluster- based UA V-assisted vanets,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.618949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d79ce34-0361-418e-b31b-b458bee0cdb8 · outbound

This paper cites Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.605664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fa0213c1-9860-4703-ac49-246eb27eaf84 · outbound

This paper cites Energy-aware 3D-deployment of UA V for IoV with highway interchange,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Energy-aware 3D-deployment of UA V for IoV with highway interchange,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.590404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16f1f384-7362-4c91-bdf3-4e33b1d10a04 · outbound

This paper cites Performance analysis and 3D position deployment for V2V-assisted UA V communications in vehicular networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Performance analysis and 3D position deployment for V2V-assisted UA V communications in vehicular networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.575249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cff7ba16-0a24-4598-a44b-b6a19ad564e2 · outbound

This paper cites GA- DRL: Graph neural network-augmented deep reinforcement learning for DAG task scheduling over dynamic vehicular clouds,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback GA- DRL: Graph neural network-augmented deep reinforcement learning for DAG task scheduling over dynamic vehicular clouds,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.561306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b12928d-b4d6-43ea-99af-0a5adeb1acdb · outbound

This paper cites OpenStreetMap: User-generated street maps,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback OpenStreetMap: User-generated street maps,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.545655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d378902a-f587-4d3a-bbad-052b12907af5 · outbound

This paper cites Microscopic traffic simulation using SUMO,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Microscopic traffic simulation using SUMO,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.531942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64869699-1a14-4465-9608-777866814783 · outbound

This paper cites Joint resources allocation and 3D trajectory optimization for UA V-enabled space-air-ground integrated networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Joint resources allocation and 3D trajectory optimization for UA V-enabled space-air-ground integrated networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.519873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05f5831f-4864-41f7-958a-712664d2d102 · outbound

This paper cites Optimizing number, placement, and backhaul connectivity of multi-UA V networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Optimizing number, placement, and backhaul connectivity of multi-UA V networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.505582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee3a2a32-ed54-42d4-b4e4-dd87083b7974 · outbound

This paper cites Deployment and association of multiple UA Vs in UA V-assisted cellular networks with the knowledge of statistical user position,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Deployment and association of multiple UA Vs in UA V-assisted cellular networks with the knowledge of statistical user position,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.491798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88a616e8-810c-4e5e-a4df-6464c49f6700 · outbound

This paper cites Multi-UA V trajectory and power optimization for cached UA V wireless networks with energy and content recharging- demand driven deep learning approach,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Multi-UA V trajectory and power optimization for cached UA V wireless networks with energy and content recharging- demand driven deep learning approach,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.477565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09eb3e6f-7b39-468e-ab79-c91f71e3cad6 · outbound

This paper cites A UA V-enabled data dissemination protocol with proactive caching and file sharing in V2X networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback A UA V-enabled data dissemination protocol with proactive caching and file sharing in V2X networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.464356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67e33049-1f7b-4d03-a9dc-d603c8f83814 · outbound

This paper cites DRL-UTPS: DRL-based trajectory planning for unmanned aerial vehicles for data collection in dynamic IoT network,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback DRL-UTPS: DRL-based trajectory planning for unmanned aerial vehicles for data collection in dynamic IoT network,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.451416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 374d90f6-7ecd-442a-8d7b-a68a97caaecc · outbound

This paper cites Path planning for cellular-connected UA V: A DRL solution with quantum-inspired experience replay,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Path planning for cellular-connected UA V: A DRL solution with quantum-inspired experience replay,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.439401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9749dc20-74a7-4491-88b6-0b7482f2c539 · outbound

This paper cites Deep reinforcement learning-based resource allocation in cooperative UA V-assisted wireless networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Deep reinforcement learning-based resource allocation in cooperative UA V-assisted wireless networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.426822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8094b7bf-dd1b-41db-beb0-af920ea6d149 · outbound

This paper cites UA V-assisted wireless cooperative communication and coded caching: A multiagent two-timescale DRL approach,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback UA V-assisted wireless cooperative communication and coded caching: A multiagent two-timescale DRL approach,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.415042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e425c828-e19b-4b9e-9f20-1152452ce584 · outbound

This paper cites DNN partitioning, task offloading, and resource allocation in dynamic vehicular networks: A Lyapunov-guided diffusion-based reinforcement learning approach,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback DNN partitioning, task offloading, and resource allocation in dynamic vehicular networks: A Lyapunov-guided diffusion-based reinforcement learning approach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.402709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5a93e683-79c4-4dcc-b315-a79620b18754 · outbound

This paper cites Multiagent deep-reinforcement- learning-based resource allocation for heterogeneous QoS guarantees for vehicular networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Multiagent deep-reinforcement- learning-based resource allocation for heterogeneous QoS guarantees for vehicular networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.390012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ba6b357-b8b1-4393-8ba4-354e164fb41a · outbound

This paper cites A comprehensive survey on UA V communication channel modeling,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback A comprehensive survey on UA V communication channel modeling,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.377774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd2955f9-c5fc-4d66-9883-a0110fc393ab · outbound

This paper cites Deep-reinforcement-learning- based mode selection and resource allocation for cellular V2X com- munications,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Deep-reinforcement-learning- based mode selection and resource allocation for cellular V2X com- munications,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.364775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 122b7340-3e86-428f-bfb4-185182a379cf · outbound

This paper cites Spectrum and power allocation for vehicular communications with delayed CSI feedback,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Spectrum and power allocation for vehicular communications with delayed CSI feedback,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.350989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2934509-7f89-4847-b450-ff40822aa8d2 · outbound

This paper cites UA V-assisted content delivery in intelligent transportation systems-joint trajectory planning and cache management,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback UA V-assisted content delivery in intelligent transportation systems-joint trajectory planning and cache management,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.334800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b814472-2dfd-4170-80e6-87e57f58f535 · outbound

This paper cites Resource allocation and 3D trajectory design for power-efficient IRS-assisted UA V- NOMA communications,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Resource allocation and 3D trajectory design for power-efficient IRS-assisted UA V- NOMA communications,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.321746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d18d10a3-743a-49ae-a010-eeb20a151f93 · outbound

This paper cites Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.309412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22f251aa-8b06-4c58-807b-32294e87e283 · outbound

This paper cites Denoising diffusion probabilistic models,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Denoising diffusion probabilistic models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.296728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c78673c6-947c-43d3-84b1-1ea69730fc9b · outbound

This paper cites Improved DDPG based two-timescale multi-dimensional resource allocation for multi-access edge computing networks,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Improved DDPG based two-timescale multi-dimensional resource allocation for multi-access edge computing networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.283759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48e869f1-8e60-4bbd-a369-cbbe94e3e1b6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Adam: A Method for Stochastic Optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T17:49:15.157946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cbe4f3f-c047-450f-8e21-3768b990632e · outbound

This paper cites Online trajectory and resource optimization for stochastic UA V-enabled MEC systems,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Online trajectory and resource optimization for stochastic UA V-enabled MEC systems,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T17:49:15.161772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d751fd82-b1c5-4ff2-807e-2342ae741fd3 · outbound

This paper cites Continuous control with deep reinforcement learning.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Continuous control with deep reinforcement learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T17:49:15.165320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb483def-14ae-4c8c-894d-4401a5191e51 · outbound

This paper cites Deep reinforcement learning with double Q-learning,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback Deep reinforcement learning with double Q-learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.261341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2559be39-a016-4cf2-a551-712907af517b · outbound

This paper cites A Lyapunov-based approach to joint optimization of resource allocation and 3-D trajectory for solar- powered UA V MEC systems,.

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback A Lyapunov-based approach to joint optimization of resource allocation and 3-D trajectory for solar- powered UA V MEC systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:49:15.247168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers