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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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
  • verified fuzzy37
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

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

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.

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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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.346958Z digest=sha256:479dbafd3f58752decf05458dc6d2e611f8201f6d48a8449f4df3b1c64a15baf

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.352312Z digest=sha256:dde4df07c88befa695e3d640308d08179194885108e590a98fd5498c5b479f76

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.357706Z digest=sha256:33758ac56484e7eb409646db6e5cdcee2ad8052364fa091c4fd4baa6d4f9edd1

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.363384Z digest=sha256:69f07140260e258fb43d00a9b2ab24a817dbcdde62662ec20f7da49b3be8a44e

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.368680Z digest=sha256:7b60e35c69e20d60dd1d691f95c24c5bd7435c5a801f5d817bfb7fde53bf6701

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.374883Z digest=sha256:90f7c94344a099e805fa26cfb52a00b490a09282e0453e6d376bcca7173d8f19

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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no resolver link, observed 2026-08-12T21:49:11.380072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:11.380072Z digest=sha256:fa4fa919c515b160ef33a0e672aeac9b4345a0663b251759da90b1a352a1a5d2

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.385897Z digest=sha256:9dd79e35a8e63d7df212bc718f6447a065fa3bb4bfd3c64136b6fbc97f3531ad

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

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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.

source=pdf_text observed=2026-08-12T21:49:11.392345Z digest=sha256:ed5e728792dab62463d12d16e0f66d705e9accdfb5b31ebad2a60db0e11db640

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.398237Z digest=sha256:cc6cf7540a97f56001d3d8905ff7b12ca5884a08fbf1c1c1a52743bde8d1bd4e

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.403798Z digest=sha256:b147fb5786d35501a73132f26e9683ed56ac7d48132f9aa4c8bbe6b169ee99d7

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.411533Z digest=sha256:7f7a929cb8977e74bb4ce4d2933cd15a4c7de3aab8bc7bc4088430bb30d017c4

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.417169Z digest=sha256:eb24d943618acf25dd7cc73a909ffde2c535bbc069fb95be377540c100ed077b

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.422695Z digest=sha256:0851f1ebea2294d28d557c901183df848cebff5e745c12b3885bcb79ba5e0ea3

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

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

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.

source=pdf_text observed=2026-08-12T21:49:11.429125Z digest=sha256:6bc8313934b6c3ea144c989da116dfee7a225625c55847a9309ba91b395a418b

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.435603Z digest=sha256:59d3a97db74c8ee9d973510e3333b033caf0ba1eabbe1b3b71ae6733932100c3

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.440779Z digest=sha256:f60a5c799d0fcdb34586b31414be61bea8aeea0167c48e0cc4c87b17fb12c98b

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

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raw_fallback, observed 2026-08-12T21:49:12.020144Z

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.

source=pdf_text observed=2026-08-12T21:49:11.445933Z digest=sha256:c89a9d2ee46d5800c01bf02d26caadeb17939c2cebdd43ee07a2038d7cbeea60

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.451477Z digest=sha256:f840a1f2ddfc740c63cd6e3d1289d894db1371448fe0c7c95256f55fa6f103e1

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

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raw_fallback, observed 2026-08-12T21:49:11.989281Z

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.

source=pdf_text observed=2026-08-12T21:49:11.456746Z digest=sha256:dde459dce1e751e6f836bc4f5add40b2530e0755a9231683a3c5c9f05452f4a7

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

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raw_fallback, observed 2026-08-12T21:49:11.973566Z

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.

source=pdf_text observed=2026-08-12T21:49:11.461737Z digest=sha256:243ee719154c29cffd687b93f9946ada6ef53bc5b0307afd0d088bdf0565e2e0

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.466367Z digest=sha256:e377c4a80812053611a49a0679338f26a26c503e641b756204391f5595ee3106

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.471224Z digest=sha256:b8956738fb86362b8c24a50da0a1b4177078b6e1ad9f246140ca1ac599096e10

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.476270Z digest=sha256:0ef56666b6894394b77513cc899d0a179af324d1bf9f1b29c6e5b717d2657bc2

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.481015Z digest=sha256:f86221779322814aa50652eb06ae87d318df6ea73deafa3953314f39c6d0efc3

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

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raw_fallback, observed 2026-08-12T21:49:11.895204Z

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.

source=pdf_text observed=2026-08-12T21:49:11.485833Z digest=sha256:3506fc1eff09b3c9b98e2a3b2cc8d943ee4f7069118a589a6c86daa210a4b248

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

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raw_fallback, observed 2026-08-12T21:49:11.877554Z

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.

source=pdf_text observed=2026-08-12T21:49:11.490681Z digest=sha256:d3c604a235325dc9350f774f776487461fe31237424d509f6333f7af2a21ab4d

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

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raw_fallback, observed 2026-08-12T21:49:11.860533Z

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.

source=pdf_text observed=2026-08-12T21:49:11.495476Z digest=sha256:8a954beb4e2c1a3892d464f95e92a215cf57611faaefeadee43c1a47efc27442

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

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raw_fallback, observed 2026-08-12T21:49:11.842080Z

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.

source=pdf_text observed=2026-08-12T21:49:11.500007Z digest=sha256:8ec273d92d12c7aefb9c1cd0900ef93510d7148a38a85e1453b3a7133e08d03b

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

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raw_fallback, observed 2026-08-12T21:49:11.825595Z

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.

source=pdf_text observed=2026-08-12T21:49:11.504622Z digest=sha256:bce8cb9d716917e617b36a8c55ba6f5efd28624c4d35f3c3ff40e6e6f95b1701

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

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

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.

source=pdf_text observed=2026-08-12T21:49:11.509414Z digest=sha256:d05b96a7919904e4563c71b38c655e6e15072f4920ad637a2ab53c64e08562cf

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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verified fuzzy
raw_fallback, observed 2026-08-12T21:49:11.791126Z

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.

source=pdf_text observed=2026-08-12T21:49:11.514159Z digest=sha256:a8aea857a2d75745a44b7bbd56e50dbd1fe76a259a06afbece6a9bfac8e88e70

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

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

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.

source=pdf_text observed=2026-08-12T21:49:11.518673Z digest=sha256:723ed97372ac1d66c52ad3bc4e102472a7048534c044b5be3bc6c5366bcb7665

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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unresolved
no resolver link, observed 2026-08-12T21:49:11.523251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:11.523251Z digest=sha256:36390bf6ca7953548f0ac4ec9f3a10a2a6dafbb11ed870edb093a1aa32945c04

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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unresolved
no resolver link, observed 2026-08-12T21:49:11.528426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:11.528426Z digest=sha256:34ea3c1c347367325567d6f7dbe07b70943d908245163861b3f70b9be5188d45

Observation 0b421555-731e-4099-bb1d-86f7d34edca7 · outbound

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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unresolved
no resolver link, observed 2026-08-12T21:49:11.533702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:11.533702Z digest=sha256:fe4f3c11119ffb6d1c0dfac46fe9245ed18c80aa04b5d58734d496bcbe23884c

Observation 4182e188-6ffc-43fe-b976-7f98ca8dcd00 · outbound

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:11.538548Z digest=sha256:2f26683a4339b2ad3d931be3a7a98f5a1cac4381ee98cfc3f62b77722970e427

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

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

source=pdf_text observed=2026-08-12T21:49:11.543159Z digest=sha256:fa09f43d2f4388ec3fc93f2158f52b2748e1a669e2738b63bd88bbdb1323301e

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

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.

source=pdf_text observed=2026-08-12T21:49:11.547727Z digest=sha256:9b663ecd6f074877f6c26f49e61afb984cc161ba8c21f95bf90e64c151b586bd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:11.552641Z digest=sha256:3e6360b932c72c169aa52df071fb2ef3ec15be232d1284a8bca99025129c2297

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:49:11.557241Z digest=sha256:9b727a699b66fee5c49faea303adc08a5c6f90f5f340f4703e031fc617dc0e32

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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unresolved
no resolver link, observed 2026-08-12T21:49:11.561837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:11.561837Z digest=sha256:a1e266170948594f2b337c865b05e420bf8ac0cbefea3c02491e3ae8371da88c

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

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

source=pdf_text observed=2026-08-12T21:49:11.566525Z digest=sha256:752f8897ffeb9480ca87fe2f6e5912def95b43d987803a75454bde45a2acb482

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:35:39.660216Z digest=sha256:a8094f962b4fe21e0143b1cb80ffdda064984052d93070493c89202cb31c685d

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

Reference 284

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:36:02.145759Z

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.

source=pdf_text observed=2026-05-10T13:48:08.135538Z digest=sha256:b5c9f24503130b71e909b62c7eaae63b64e6fbab82bec95ccead8c1c31a534d8