Paper Citation Record · LEDGER

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2411.08299.

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

pith.paper-citation-record.v1
2411.08299 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:49:11.566525Z

measured 46 of 46 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 2026-08-06T05:35:39.660216Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:36:02.140373Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f83f08aa-5951-4090-b336-4d173d847e06 · outbound

This paper cites Ugen: Uav and gan-aided ensemble network for post-disaster survivor detection through oran,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Ugen: Uav and gan-aided ensemble network for post-disaster survivor detection through oran,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.286216Z

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

Observation b748e5ea-8ad8-4a19-b075-ff256fe91f7b · outbound

This paper cites Uav swarm- assisted two-tier hierarchical federated learning,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Uav swarm- assisted two-tier hierarchical federated learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.267196Z

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 3aab8618-67d9-4c95-9fab-ce389fd9753c · outbound

This paper cites Uav- assisted wireless cooperative communication and coded caching: a multiagent two-timescale drl approach,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Uav- assisted wireless cooperative communication and coded caching: a multiagent two-timescale drl approach,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.251181Z

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 08408882-1683-4620-ad27-bde80af43fb3 · outbound

This paper cites Detecting and mapping individual fruit trees in complex natural envi- ronments via uav remote sensing and optimized yolov5,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Detecting and mapping individual fruit trees in complex natural envi- ronments via uav remote sensing and optimized yolov5,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.236032Z

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 9dbefe69-f29b-4c5b-b2fe-5c597e114c29 · outbound

This paper cites Dynamic social-aware peer selection for cooperative relay management with d2d communi- cations,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Dynamic social-aware peer selection for cooperative relay management with d2d communi- cations,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.220052Z

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 fad9e8e0-7623-4f2a-a077-a20576d894cb · outbound

This paper cites Split learning with differential privacy for integrated terrestrial and non- terrestrial networks,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Split learning with differential privacy for integrated terrestrial and non- terrestrial networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.205010Z

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 12eb5d3b-cef9-47a9-b351-31c3480e3ac2 · outbound

This paper cites Energy-efficient uav assisted secure relay transmission via cooperative computation offloading,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Energy-efficient uav assisted secure relay transmission via cooperative computation offloading,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.189375Z

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 f61c1227-beb7-4ca4-a33d-3ecfe203cfc4 · outbound

This paper cites DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach

Reference 8

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Source-reported events for the cited work

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Observation ed0ec491-d468-4990-a4f4-8be6ba26468b · outbound

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

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach All-sky autonomous computing in uav swarm,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.174468Z

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 9b93a7f7-7d80-4bc1-9a3d-90a6c4ca7887 · outbound

This paper cites Integrated sensing, communication, and computation with adaptive dnn splitting in multi-uav networks,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Integrated sensing, communication, and computation with adaptive dnn splitting in multi-uav networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.159889Z

Source-reported events for the cited work

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Observation 1f690df4-c62e-4ada-9a58-212cc83708ea · outbound

This paper cites Elastic collaborative edge intelligence for uav swarm: Architecture, challenges, and opportunities,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Elastic collaborative edge intelligence for uav swarm: Architecture, challenges, and opportunities,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.143578Z

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 c5787717-f59e-4091-9898-9ef62c2383b1 · outbound

This paper cites Distributed cnn inference on resource- constrained uavs for surveillance systems: Design and optimization,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Distributed cnn inference on resource- constrained uavs for surveillance systems: Design and optimization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.128187Z

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 a2a51674-c418-46e8-8249-a1cdad02958e · outbound

This paper cites Object recognition offloading in augmented reality assisted uav-ugv systems,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Object recognition offloading in augmented reality assisted uav-ugv systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.112613Z

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 334ae807-d02a-4fe3-8a6d-93ed1e362b4f · outbound

This paper cites Reliable dnn partitioning for uav swarm,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Reliable dnn partitioning for uav swarm,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.096898Z

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 c2d4cd0b-af5f-4127-90cc-fd8fd56a9297 · outbound

This paper cites Multi-uav maritime search and rescue with dnn inference acceleration,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Multi-uav maritime search and rescue with dnn inference acceleration,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.081265Z

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 78102089-a544-4e18-be40-180cfcd76de7 · outbound

This paper cites Aoi- aware sensing scheduling and trajectory optimization for multi-uav- assisted wireless backscatter networks,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Aoi- aware sensing scheduling and trajectory optimization for multi-uav- assisted wireless backscatter networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.065445Z

Source-reported events for the cited work

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Observation 6708492e-03cf-4ad7-a5ad-09c598767675 · outbound

This paper cites Efficient pipeline collaborative dnn inference in resource-constrained uav swarm,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Efficient pipeline collaborative dnn inference in resource-constrained uav swarm,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.050325Z

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 124c1c56-993e-4471-905c-d5e3f3368dce · outbound

This paper cites Artificial intelligence for enhanced mobility and 5g connectivity in uav-based critical missions,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Artificial intelligence for enhanced mobility and 5g connectivity in uav-based critical missions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.035098Z

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 6240e786-730e-4644-9a55-eafd04fd7fd2 · outbound

This paper cites On uav serving nodes trajectory planning for fast localization in forest environment: A multi-agent drl approach,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach On uav serving nodes trajectory planning for fast localization in forest environment: A multi-agent drl approach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.020144Z

Source-reported events for the cited work

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Observation a67ada6a-0ba8-4c2d-8828-7721881a6e34 · outbound

This paper cites Game theory-based anti- jamming strategies for frequency hopping wireless communications,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Game theory-based anti- jamming strategies for frequency hopping wireless communications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:12.004687Z

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 443493dd-3782-4827-9354-4b973db23bfc · outbound

This paper cites Comparing yolov3, yolov4 and yolov5 for autonomous landing spot detection in faulty uavs,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Comparing yolov3, yolov4 and yolov5 for autonomous landing spot detection in faulty uavs,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.989281Z

Source-reported events for the cited work

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Observation 0f825e11-a851-47e9-a4d8-96ed82c9354d · outbound

This paper cites Multilevel recognition of uav-to-ground targets based on micro-doppler signatures and transfer learning of deep convolutional neural networks,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Multilevel recognition of uav-to-ground targets based on micro-doppler signatures and transfer learning of deep convolutional neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.973566Z

Source-reported events for the cited work

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Observation e91a578c-5527-4633-ab09-7bd5d64bbab0 · outbound

This paper cites A novel enhanced vgg16 model to tackle grapevine leaves diseases with automatic method,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach A novel enhanced vgg16 model to tackle grapevine leaves diseases with automatic method,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.958210Z

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 a5d08379-c380-4f63-accb-42cd5c6f5853 · outbound

This paper cites Task partitioning and offloading in dnn-task enabled mobile edge computing networks,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Task partitioning and offloading in dnn-task enabled mobile edge computing networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.942871Z

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 a04aedf8-9d2b-4baf-a124-ad1ba39d2019 · outbound

This paper cites Distributed dnn inference with fine-grained model partitioning in mobile edge computing networks,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Distributed dnn inference with fine-grained model partitioning in mobile edge computing networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.927355Z

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 3b5c8878-a8ac-43f8-84d3-7f27d7b2d9c6 · outbound

This paper cites Toward reliable dnn-based task partitioning and of- floading in vehicular edge computing,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Toward reliable dnn-based task partitioning and of- floading in vehicular edge computing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.911321Z

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 e814b2de-6d4c-4a15-949f-b94738e3c1aa · outbound

This paper cites Multi- agent reinforcement learning based distributed transmission in collabo- rative cloud-edge systems,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Multi- agent reinforcement learning based distributed transmission in collabo- rative cloud-edge systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.895204Z

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

Observation f118e667-474f-4c87-9a8f-530fcc23dc9b · outbound

This paper cites Ga- drl: Graph neural network-augmented deep reinforcement learning for dag task scheduling over dynamic vehicular clouds,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Ga- drl: Graph neural network-augmented deep reinforcement learning for dag task scheduling over dynamic vehicular clouds,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.877554Z

Source-reported events for the cited work

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Observation 1fcaf871-d9c2-4e98-a837-100dd146a981 · outbound

This paper cites Trajectory design and power control for multi-uav assisted wireless networks: A machine learning approach,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Trajectory design and power control for multi-uav assisted wireless networks: A machine learning approach,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.860533Z

Source-reported events for the cited work

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Observation 264ba256-73f6-455a-b96e-74b7bd66efed · outbound

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

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Energy efficient computation offloading in aerial edge networks with multi-agent cooperation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.842080Z

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Observation 69bfeda6-3bc4-47a8-bb45-0774c221645f · outbound

This paper cites Cooperative multi- agent deep reinforcement learning methods for uav-aided mobile edge computing networks,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Cooperative multi- agent deep reinforcement learning methods for uav-aided mobile edge computing networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.825595Z

Source-reported events for the cited work

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Observation 10a60ac8-c48b-4191-bfd1-99ea11ca4c95 · outbound

This paper cites Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.808541Z

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

Observation dd089eb9-9080-4438-939e-3723c141d468 · outbound

This paper cites Mobile-aware service offloading for uav-assisted iovs: A multi-agent tiny distributed learning approach,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Mobile-aware service offloading for uav-assisted iovs: A multi-agent tiny distributed learning approach,

Reference 33

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Observation bb98c809-6de3-40b6-8a1d-8d204c4272e6 · outbound

This paper cites Multi-agent learning-based optimal task offloading and uav trajectory planning for agin-power iot,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Multi-agent learning-based optimal task offloading and uav trajectory planning for agin-power iot,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.771138Z

Source-reported events for the cited work

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Observation e1e3086a-3b45-4399-86c6-1383fee2838d · outbound

This paper cites Generative AI for Advanced UAV Networking.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Generative AI for Advanced UAV Networking

Reference 35

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Observation b523ce89-00b8-429f-92d2-395c9eccee6d · outbound

This paper cites Guiding IoT-Based Healthcare Alert Systems with Large Language Models.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Guiding IoT-Based Healthcare Alert Systems with Large Language Models

Reference 36

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This paper cites Rme-gan: A learning framework for radio map estimation based on conditional generative adversarial network,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Rme-gan: A learning framework for radio map estimation based on conditional generative adversarial network,

Reference 37

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This paper cites Generative ai for physical layer communications: A survey,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Generative ai for physical layer communications: A survey,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T21:49:11.538548Z

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Observation 7937ba34-8904-4b16-90ff-253bdd626736 · outbound

This paper cites Joint task offloading and resource allocation in heterogeneous edge environments,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Joint task offloading and resource allocation in heterogeneous edge environments,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.732792Z

Source-reported events for the cited work

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Observation 0a2e66cc-1f67-4c2a-9cce-4aa1ea84666f · outbound

This paper cites Cooperative uav resource allocation and task offloading in hierarchical aerial computing systems: A mappo-based approach,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Cooperative uav resource allocation and task offloading in hierarchical aerial computing systems: A mappo-based approach,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.716500Z

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

Observation a97bfb42-aafa-4515-b206-e51ba6326dbd · outbound

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

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Digital-twin- assisted task assignment in multi-uav systems: A deep reinforcement learning approach,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T21:49:11.552641Z

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Observation 7ac7c75f-d703-4630-afc1-b7fe72629e2b · outbound

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

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Gan-powered heterogeneous multi- agent reinforcement learning for uav-assisted task offloading,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.689038Z

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 6a4c1723-4cd1-42ca-ae5e-e73f5a20be65 · outbound

This paper cites Denoising diffusion probabilistic models,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Denoising diffusion probabilistic models,

Reference 43

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Source-reported events for the cited work

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Observation aa4fb5fe-9267-478d-a20c-e57e4094ea98 · outbound

This paper cites Computation offloading via multi-agent deep reinforcement learning in aerial hierarchical edge computing systems,.

DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach Computation offloading via multi-agent deep reinforcement learning in aerial hierarchical edge computing systems,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:49:11.660381Z

Source-reported events for the cited work

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Pith citing papers

Observation 5d449508-11a7-49a2-8ba7-6f704b728e14 · inbound

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences cites this paper.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach

Reference 166

Resolution: unresolved; no resolver link, observed 2026-08-06T05:35:39.660216Z

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Observation b1a9dcd0-2a8c-46dd-b5de-e92fc73ce99c · inbound

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach

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