Paper Citation Record · LEDGER

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2504.13554.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.13554 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:27.933674Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:57.260032Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T20:53:58.339849Z

Reference resolution

51 of 51 outbound references displayed

verified exact2
verified fuzzy41
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c07932a0-d817-48d0-b384-88c4299a8a34 · outbound

This paper cites Priori- tized information bottleneck theoretic framework with distributed online learning for edge video analytics,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Priori- tized information bottleneck theoretic framework with distributed online learning for edge video analytics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.812383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60672f3a-79a3-4508-bd5f-58f18064eb07 · outbound

This paper cites Enhancing Resiliency of Integrated Space-Air-Ground-Sea Networks with Renewable Energies: A Use Case After the 2023 T\"urkiye Earthquake.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Enhancing Resiliency of Integrated Space-Air-Ground-Sea Networks with Renewable Energies: A Use Case After the 2023 T\"urkiye Earthquake

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:27.714201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 454353c0-6717-49e4-9f43-c2b663405c22 · outbound

This paper cites Ad- vancing non-intrusive load monitoring: Predicting appliance-level power consumption with indirect supervision,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Ad- vancing non-intrusive load monitoring: Predicting appliance-level power consumption with indirect supervision,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.796602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b8127bd-9ca7-4930-a9fb-07310a14803b · outbound

This paper cites Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities.

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

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:27.724039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e56fea5-bdcf-4ebe-8781-d4d50a9afda1 · outbound

This paper cites Digital twin-empowered task assignment in aerial mec network: A resource coalition co- operation approach with generative model,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Digital twin-empowered task assignment in aerial mec network: A resource coalition co- operation approach with generative model,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.781358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b825c4d0-90c0-4cbd-817c-a667731f09df · outbound

This paper cites An aggregate flow based scheduler in multi-task cooperated uavs network,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning An aggregate flow based scheduler in multi-task cooperated uavs network,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.767221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2c29f50-fe94-4960-a98f-8744884bc775 · outbound

This paper cites Cloud-edge-end collaborative intelligent service computation of- floading: A digital twin driven edge coalition approach for in- dustrial iot,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Cloud-edge-end collaborative intelligent service computation of- floading: A digital twin driven edge coalition approach for in- dustrial iot,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.750376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f8e43b2-2597-4c71-a7e5-03bc81dce9cf · outbound

This paper cites Multi-agent q- net enhanced coevolutionary algorithm for resource allocation in emergency human-machine fusion uav-mec system,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Multi-agent q- net enhanced coevolutionary algorithm for resource allocation in emergency human-machine fusion uav-mec system,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.734416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb6855d4-c1dd-413c-956b-cb42a127c8b9 · outbound

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

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Dnn partitioning, task offloading, and resource allocation in dynamic vehicular networks: A lyapunov-guided diffusion-based reinforcement learning approach,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.719529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41e8ac6f-699c-4959-a606-f27a59686235 · outbound

This paper cites Generative AI for Advanced UAV Networking.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Generative AI for Advanced UAV Networking

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:27.752747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab3219f-680c-4d8f-8f39-fcc248735dea · outbound

This paper cites Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:10:28.028301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e18ed218-f574-4fdb-9a22-045d4f484fff · outbound

This paper cites Task Delay and Energy Consumption Minimization for Low-altitude MEC via Evolutionary Multi-objective Deep Reinforcement Learning.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Task Delay and Energy Consumption Minimization for Low-altitude MEC via Evolutionary Multi-objective Deep Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:27.761206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac275383-fab6-4233-ae86-be340577d301 · outbound

This paper cites Enhancing Disaster Resilience with UAV-Assisted Edge Computing: A Reinforcement Learning Approach to Managing Heterogeneous Edge Devices.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Enhancing Disaster Resilience with UAV-Assisted Edge Computing: A Reinforcement Learning Approach to Managing Heterogeneous Edge Devices

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:10:27.992480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3a7554d-b18d-463a-ad21-b1f8f39f32a9 · outbound

This paper cites Ideas in the air: Unmanned aerial se- mantic communication for post-disaster scenarios,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Ideas in the air: Unmanned aerial se- mantic communication for post-disaster scenarios,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.704579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d45c55c-677f-4e6e-b1c8-eb39cb1830c6 · outbound

This paper cites Joint drl-based uav trajectory planning and teg-based task offloading,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Joint drl-based uav trajectory planning and teg-based task offloading,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.691002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3ea3ab9-d297-4323-afca-afa03aaa0278 · outbound

This paper cites Star-ris and uav combination in mec networks: Simultaneous task offload- ing and communications,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Star-ris and uav combination in mec networks: Simultaneous task offload- ing and communications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.677376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 191291d4-801f-4649-9ea5-3292b18b2afe · outbound

This paper cites User preference oriented service caching and task offloading for uav-assisted mec networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning User preference oriented service caching and task offloading for uav-assisted mec networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.664007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b328f609-0d5e-4b47-b5b5-4b27613cd08d · outbound

This paper cites Digital- twin-assisted task assignment in multi-uav systems: A deep re- inforcement learning approach,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Digital- twin-assisted task assignment in multi-uav systems: A deep re- inforcement learning approach,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.649717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0f0ac39-7856-4cac-a64b-ea0988ac1d88 · outbound

This paper cites Energy efficient computation offloading in aerial edge networks with multi-agent cooperation,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Energy efficient computation offloading in aerial edge networks with multi-agent cooperation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.634627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af356218-f564-4248-ae88-d61dddf9e9a9 · outbound

This paper cites Generative ai-augmented graph reinforcement learning for adaptive uav swarm optimization,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Generative ai-augmented graph reinforcement learning for adaptive uav swarm optimization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.619869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 098f7edc-fc06-4200-bc4d-088b72e51584 · outbound

This paper cites Dnn task assignment in uav networks: A generative ai enhanced multi-agent reinforcement learning approach,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Dnn task assignment in uav networks: A generative ai enhanced multi-agent reinforcement learning approach,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.605377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d5c9e80-791f-48f9-866d-817d39776e9a · outbound

This paper cites All-sky autonomous computing in uav swarm,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning All-sky autonomous computing in uav swarm,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.589282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 457908c8-f94a-468b-88c8-3a0f96fb84be · outbound

This paper cites Jdaco: Joint data aggregation and computation offloading in uav-enabled internet of things for post- disaster scenarios,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Jdaco: Joint data aggregation and computation offloading in uav-enabled internet of things for post- disaster scenarios,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.574769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c8c4354-a1f4-48fa-a1d2-36543304a0df · outbound

This paper cites Joint task offloading and resource allocation in aerial- terrestrial uav networks with edge and fog computing for post- disaster rescue,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Joint task offloading and resource allocation in aerial- terrestrial uav networks with edge and fog computing for post- disaster rescue,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.560267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6096c7a5-6833-4ffd-83d0-43a6be512e6a · outbound

This paper cites Task offloading for post-disaster rescue in unmanned aerial ve- hicles networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Task offloading for post-disaster rescue in unmanned aerial ve- hicles networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.547158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7cea0249-3bc2-4e7b-a21e-14a992197fb3 · outbound

This paper cites Disaster resilient emergency communication with intelligent air-ground cooperation,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Disaster resilient emergency communication with intelligent air-ground cooperation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.533672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b163686b-7b04-4357-bc3f-233b40f87377 · outbound

This paper cites Computational efficiency maximization for uav-assisted mec net- works with energy harvesting in disaster scenarios,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Computational efficiency maximization for uav-assisted mec net- works with energy harvesting in disaster scenarios,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.519881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3cd140a1-0233-497d-a4fd-57c90ebb88b3 · outbound

This paper cites Mission-aware uav deployment for post-disaster scenarios: A worst-case sac-based approach,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Mission-aware uav deployment for post-disaster scenarios: A worst-case sac-based approach,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.506090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ce955cf-0558-43cc-8cce-0a5d25de43a3 · outbound

This paper cites Maddpg-based joint service placement and task offloading in mec empowered air-ground integrated networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Maddpg-based joint service placement and task offloading in mec empowered air-ground integrated networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.491137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cba9aba6-b876-44cd-8c04-2a305f5ebbc9 · outbound

This paper cites Multi-agent deep reinforcement learning for task offloading in uav-assisted mobile edge computing,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Multi-agent deep reinforcement learning for task offloading in uav-assisted mobile edge computing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.475762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1fc8c08-2c64-47f8-bd89-62137b018774 · outbound

This paper cites Joint cooperative computation of- floading and trajectory optimization in heterogeneous uav-swarm- enabled aerial edge computing networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Joint cooperative computation of- floading and trajectory optimization in heterogeneous uav-swarm- enabled aerial edge computing networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.461562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e26f01b1-f440-46da-a1a7-a003b60168bc · outbound

This paper cites Generative ai for space-air-ground integrated networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Generative ai for space-air-ground integrated networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.446564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ed2f85e-42a5-4bea-b51a-92fdd77e11c5 · outbound

This paper cites Gan-powered heterogeneous multi-agent reinforcement learning for uav-assisted task offload- ing,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Gan-powered heterogeneous multi-agent reinforcement learning for uav-assisted task offload- ing,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.431449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f2ed22c-a2a7-407d-aad2-ca21696debc7 · outbound

This paper cites Transformer- based reinforcement learning for scalable multi-uav area cover- age,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Transformer- based reinforcement learning for scalable multi-uav area cover- age,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.417393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3851fa0f-a06d-4842-a046-f58db838ce1d · outbound

This paper cites Diffusion-based reinforcement learning for edge-enabled ai-generated content services,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Diffusion-based reinforcement learning for edge-enabled ai-generated content services,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.402849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 827a712e-33a3-4f7e-a597-5f13af4f7ede · outbound

This paper cites Robust lightweight uav inspection system for consumer elec- tronics applications in smart grids,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Robust lightweight uav inspection system for consumer elec- tronics applications in smart grids,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.388604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b3791b6-0622-4be4-82c2-7c36462c49d5 · outbound

This paper cites Energy- aware dynamic resource allocation in uav assisted mobile edge computing over social internet of vehicles,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Energy- aware dynamic resource allocation in uav assisted mobile edge computing over social internet of vehicles,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.375011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a68071b-25eb-4a32-a69a-b4aced4c76e3 · outbound

This paper cites Computation rate maximization in uav-enabled wireless-powered mobile-edge com- puting systems,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Computation rate maximization in uav-enabled wireless-powered mobile-edge com- puting systems,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.361555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 51bac633-ef90-4962-986f-57da969f7537 · outbound

This paper cites Dense small cell networks: From noise-limited to dense interference-limited,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Dense small cell networks: From noise-limited to dense interference-limited,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.346242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06de2f10-7f6a-40e7-92d1-4ec2760125db · outbound

This paper cites Power distribution of device-to- device communications under nakagami fading channel,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Power distribution of device-to- device communications under nakagami fading channel,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.330921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38e31d5a-3800-4120-909c-c40d646b8d90 · outbound

This paper cites Non-cooperative resource competi- tion game by virtual referee in multi-cell ofdma networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Non-cooperative resource competi- tion game by virtual referee in multi-cell ofdma networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.315506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4ab210b-9339-4695-bbda-6be85d6ffd4d · outbound

This paper cites Processor design for portable systems,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Processor design for portable systems,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.299003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86b17e29-ea75-4ba9-aff5-2082e74d2081 · outbound

This paper cites Uav-assisted task offload- ing in vehicular edge computing networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Uav-assisted task offload- ing in vehicular edge computing networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.284414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d01ea923-3c03-4eb2-a7dc-167370459c1f · outbound

This paper cites Task offloading for post-disaster rescue in unmanned aerial ve- hicles networks,.

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.269483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5849c8ff-275a-477e-891b-addc1209e2f2 · outbound

This paper cites an unresolved cited work.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:10:28.254064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13338f6a-e3b4-4515-8240-8dcd14ed9507 · outbound

This paper cites Energy-efficient resource allocation in wireless networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Energy-efficient resource allocation in wireless networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.237737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab728599-a2b6-481b-8d18-9da26d278668 · outbound

This paper cites Neely, Stochastic network optimization with application to commu- nication and queueing systems.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Neely, Stochastic network optimization with application to commu- nication and queueing systems

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:27.917798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e42263-da53-4692-a844-29de1265d402 · outbound

This paper cites Intro- duction to algorithms (3-rd edition),.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Intro- duction to algorithms (3-rd edition),

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.214506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2ed33b8-8a61-490c-8243-863fdbcd0107 · outbound

This paper cites Gainnet: Coordinates the odd couple of generative ai and 6g networks,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Gainnet: Coordinates the odd couple of generative ai and 6g networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:10:28.200018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87da55e1-ea5b-4ab7-acba-53d11291e058 · outbound

This paper cites Denoising diffusion probabilistic models,.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Denoising diffusion probabilistic models,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:27.929651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a58aaee9-41c3-4df9-b922-b537c60b951f · outbound

This paper cites Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning.

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:27.933674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3820558f-802e-4666-89b4-e4e2847c1aa0 · inbound

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs cites this paper.

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:57.260032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97dcf9f3-dfdc-4c81-997b-db88412f4113 · inbound

From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks cites this paper.

From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:53:58.341394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.