RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication | Paper Citation Record

Observation 232dcd7d-41e3-4035-9d23-e7a4690ff36f · outbound

This paper cites 6G omni-scenario on-demand services provisioning: vision, technology and prospect(in chinese),.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication 6G omni-scenario on-demand services provisioning: vision, technology and prospect(in chinese),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.360378Z

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Observation 1a342411-2242-40a8-9c56-3858183498de · outbound

This paper cites Toward immersive communications in 6G,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Toward immersive communications in 6G,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.351967Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b8d2006-a306-4620-8850-ce2705595e3c · outbound

This paper cites Federated learning empowered computation offloading and resource management in 6g-v2x,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Federated learning empowered computation offloading and resource management in 6g-v2x,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.343312Z

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Observation cb91dc62-60a8-4085-993a-24a3b88117bc · outbound

This paper cites Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime internet of things,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime internet of things,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.334360Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67317ddb-3f6a-433c-b34b-09441734045a · outbound

This paper cites Channel estimation for extremely large-scale massive mimo systems,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Channel estimation for extremely large-scale massive mimo systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.325488Z

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Observation f82eaedb-5ac3-4002-8384-aff3500c38c6 · outbound

This paper cites Federated learning in massive mimo 6g networks: Convergence analysis and communication-efficient design,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Federated learning in massive mimo 6g networks: Convergence analysis and communication-efficient design,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.315808Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b0c4b96-83bd-4b0a-a833-0ed03ae7f224 · outbound

This paper cites Channel state information prediction for 5g wireless communications: A deep learning approach,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Channel state information prediction for 5g wireless communications: A deep learning approach,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.307185Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d18268d-41ce-455c-9c98-f56ca99b5b39 · outbound

This paper cites Ultra dense satellite-enabled 6G networks: Resource optimization and interference management,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Ultra dense satellite-enabled 6G networks: Resource optimization and interference management,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.297437Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f593f45-d36e-47f3-8b6e-7ea0d56c6564 · outbound

This paper cites A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.288022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3a21e404-6140-463b-969e-7dc5f33e0bef · outbound

This paper cites Learning in the air: Secure federated learning for uav-assisted crowdsensing,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Learning in the air: Secure federated learning for uav-assisted crowdsensing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.278673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f5fd1f4-c9f4-40ac-96be-82e6319a9a0e · outbound

This paper cites Intelligent ubiquitous network accessibility for wireless-powered mec in uav- assisted b5g,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Intelligent ubiquitous network accessibility for wireless-powered mec in uav- assisted b5g,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.269784Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation abe20dd6-c976-4f0b-802a-b26a55400840 · outbound

This paper cites Bd-vte: A novel baseline data based verifiable trust evaluation scheme for smart network systems,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Bd-vte: A novel baseline data based verifiable trust evaluation scheme for smart network systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.260310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8405db9a-57ca-421f-9e83-a2d34adf14a9 · outbound

This paper cites Space/aerial-assisted computing offloading for IoT applications: A learning-based approach,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Space/aerial-assisted computing offloading for IoT applications: A learning-based approach,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.248954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be653337-de34-4765-96f3-aa68037dbe56 · outbound

This paper cites Toward environment-aware 6G communications via channel knowledge map,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Toward environment-aware 6G communications via channel knowledge map,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:29.291368Z

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Observation 9a1918ab-6e9e-499b-9ecf-8905b041cea8 · outbound

This paper cites A tutorial on environment-aware communications via channel knowledge map for 6G,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication A tutorial on environment-aware communications via channel knowledge map for 6G,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.233506Z

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Observation bd538deb-02a9-48ff-b7ee-61df5821d024 · outbound

This paper cites Generative ai on spectrumnet: An open benchmark of multiband 3d radio maps,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Generative ai on spectrumnet: An open benchmark of multiband 3d radio maps,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.222936Z

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Observation 034b1798-1893-42b7-84d4-1c1027478577 · outbound

This paper cites RadioUNet: Fast radio map estimation with convolutional neural networks,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication RadioUNet: Fast radio map estimation with convolutional neural networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:29.587451Z

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Observation de55363b-d84d-4602-b4e4-f1b81fa0a8f7 · outbound

This paper cites Radiogat: A joint model-based and data-driven framework for multi-band radiomap reconstruction via graph attention networks,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Radiogat: A joint model-based and data-driven framework for multi-band radiomap reconstruction via graph attention networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.208077Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39151f84-6c20-40f3-af14-1a9e81576b4b · outbound

This paper cites Ckmimagenet: A comprehensive dataset to enable channel knowledge map construction via computer vision,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Ckmimagenet: A comprehensive dataset to enable channel knowledge map construction via computer vision,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.198590Z

Source-reported events for the cited work

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Observation c9730602-ee86-4156-823a-1b0abaa428c3 · outbound

This paper cites an unresolved cited work.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:29.889544Z

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Unavailable: canonical work link unavailable.

Observation c530b66e-42c1-4796-a7da-d784588b3a92 · outbound

This paper cites Ray techniques in electromagnetics,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Ray techniques in electromagnetics,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.181816Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 201fd7b6-7e1f-48e9-aa7d-eb42b13502bb · outbound

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

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.173203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a1826e6f-673f-4b0d-a2d3-647b82817043 · outbound

This paper cites A graph neural network based radio map construction method for urban environment,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication A graph neural network based radio map construction method for urban environment,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.163796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54b20551-76a9-4829-87f5-c33494d341d2 · outbound

This paper cites Radiodiff: An effective generative diffusion model for sampling-free dynamic radio map construction,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Radiodiff: An effective generative diffusion model for sampling-free dynamic radio map construction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.154099Z

Source-reported events for the cited work

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Observation c2958db8-b5cc-4d75-8a7e-381dce67de73 · outbound

This paper cites an unresolved cited work.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:57:37.145381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9350347c-27d6-4da7-9f23-529562de59a4 · outbound

This paper cites Channel knowledge map construction based on a UA V-assisted channel measurement system,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Channel knowledge map construction based on a UA V-assisted channel measurement system,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.135890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 277f4ee6-dc6f-431e-a064-a9371b125ef3 · outbound

This paper cites Joint flying relay location and routing optimization for 6G UA V–IoT networks: A graph neural network-based approach,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Joint flying relay location and routing optimization for 6G UA V–IoT networks: A graph neural network-based approach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.126352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7395b4bb-aeda-4e36-b5e5-d39b32433505 · outbound

This paper cites Locunet: Fast urban positioning using radio maps and deep learning,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Locunet: Fast urban positioning using radio maps and deep learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.116291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d8178231-8845-479b-88ff-17b85e0a4da2 · outbound

This paper cites Nearest neighbor pattern classification,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Nearest neighbor pattern classification,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:30.591901Z

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Observation 8d2e6d71-295a-4573-81d6-74b03129a529 · outbound

This paper cites Chiles and P.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Chiles and P

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.101892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 12fea081-b576-4c02-be02-6952e7f6439f · outbound

This paper cites Informed spectrum usage in cognitive radio networks: Interference cartography,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Informed spectrum usage in cognitive radio networks: Interference cartography,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.093172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b4f199aa-bb5e-406d-ac97-9155f3b7ee36 · outbound

This paper cites Local polynomial modelling and its applications,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Local polynomial modelling and its applications,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.083120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 37480b1e-190e-4ebd-ace3-70940402cd9a · outbound

This paper cites Regression assisted matrix completion for recon- structing a propagation field with application to source localization,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Regression assisted matrix completion for recon- structing a propagation field with application to source localization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.073990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dd4c2f2c-714c-43cd-b43e-8e94a71424d1 · outbound

This paper cites Cooperative spectrum sensing for cognitive radios using kriged kalman filtering,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Cooperative spectrum sensing for cognitive radios using kriged kalman filtering,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.064299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 77d7387a-80b5-4450-bd85-dad30df1ba78 · outbound

This paper cites Channel gain map tracking via distributed kriging,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Channel gain map tracking via distributed kriging,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.054093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b4e99a55-fca8-4c4c-a79f-3247efb5214d · outbound

This paper cites Propagation map reconstruction via interpolation assisted matrix completion,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Propagation map reconstruction via interpolation assisted matrix completion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.045413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 65d0047c-e025-4f71-a15c-85b8a570c1f3 · outbound

This paper cites Spectrum cartography via coupled block-term tensor decomposition,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Spectrum cartography via coupled block-term tensor decomposition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.035489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 827f8939-9d9d-47dd-9d98-dc2dc6ecd9ba · outbound

This paper cites Dual-kernel online re- construction of power maps,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Dual-kernel online re- construction of power maps,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.026727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1ec01e15-8340-4acb-96ad-e596d5f7867a · outbound

This paper cites Kriging-based interference power constraint: Integrated design of the radio environment map and transmission power,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Kriging-based interference power constraint: Integrated design of the radio environment map and transmission power,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.018112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d53b923-c789-4acd-ad4f-192d5db3db3c · outbound

This paper cites Map-based millimeter-wave channel models: An overview, data for b5g evaluation and machine learning,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Map-based millimeter-wave channel models: An overview, data for b5g evaluation and machine learning,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:32.063520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc12ad7-e11b-4f41-924c-22b170be2ab6 · outbound

This paper cites Map-based channel modeling and generation for u2v mmwave com- munication,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Map-based channel modeling and generation for u2v mmwave com- munication,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:37.005057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67b49896-1a28-4b5d-b530-4895f5859872 · outbound

This paper cites Spatial cover- age cross-tier correlation analysis for heterogeneous cellular networks,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Spatial cover- age cross-tier correlation analysis for heterogeneous cellular networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.997900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e615c81d-2a4e-4c55-9e1c-10422844720c · outbound

This paper cites Radiodiff-k 2: Helmholtz equation informed generative diffu- sion model for multi-path aware radio map construction,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Radiodiff-k 2: Helmholtz equation informed generative diffu- sion model for multi-path aware radio map construction,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:32.790621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f88eed-916d-4711-a164-0b809d5f217f · outbound

This paper cites RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:32.916883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed05ba41-d55e-42a7-a55b-2bd753bcb522 · outbound

This paper cites RadioNet: Robust deep-learning based radio fingerprinting,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication RadioNet: Robust deep-learning based radio fingerprinting,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.975818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e451e3ea-b30d-4c66-88a1-7d1ebfb6dd49 · outbound

This paper cites Efficient algorithms for air-to-ground channel reconstruction in uav-aided communications,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Efficient algorithms for air-to-ground channel reconstruction in uav-aided communications,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.968104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1655901d-9bb6-4a8c-bf1f-569aafbe9391 · outbound

This paper cites Constructing radio maps for uav communications via dynamic resolution virtual obstacle maps,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Constructing radio maps for uav communications via dynamic resolution virtual obstacle maps,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.960424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e37e3134-8209-498f-a4c6-c8a2eba21473 · outbound

This paper cites Geography-aware radio map reconstruction for uav-aided communications and localization,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Geography-aware radio map reconstruction for uav-aided communications and localization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.953041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d285c7a-eba8-45b6-962d-7f0a40f27b4f · outbound

This paper cites Nonparametric basis pursuit via sparse kernel-based learning: A unifying view with advances in blind methods,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Nonparametric basis pursuit via sparse kernel-based learning: A unifying view with advances in blind methods,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.944660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af73bbff-0691-4bbe-a79c-8d8b1ac91ba1 · outbound

This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:33.768220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06abf3d1-4849-4650-83e1-f242ddbe0809 · outbound

This paper cites 5g channel model for bands up to100 ghz,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication 5g channel model for bands up to100 ghz,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.935768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 775469bf-7077-408d-b31d-95f8fe3a7430 · outbound

This paper cites Deep completion autoencoders for radio map estimation,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Deep completion autoencoders for radio map estimation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.990844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6771623-b5f5-4ca3-8240-e2201a0250f9 · outbound

This paper cites Accurate spectrum map construction for spectrum management through intelligent frequency-spatial reasoning,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Accurate spectrum map construction for spectrum management through intelligent frequency-spatial reasoning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.927493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ddc137c8-a498-413e-9f87-62e6ff9e9dc0 · outbound

This paper cites Deep spectrum cartography: Com- pleting radio map tensors using learned neural models,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Deep spectrum cartography: Com- pleting radio map tensors using learned neural models,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.983221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3a04c251-63b4-40ea-bdc7-af7f2284cd9a · outbound

This paper cites Review on ray tracing channel simulation accuracy in sub-6 ghz outdoor deployment scenarios,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Review on ray tracing channel simulation accuracy in sub-6 ghz outdoor deployment scenarios,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.919056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c329aae-03af-455a-a837-c0e842e8c642 · outbound

This paper cites Field plotting and ray tracing in electron optics a review of numerical methods,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Field plotting and ray tracing in electron optics a review of numerical methods,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.911164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20ac8827-ed30-4c01-811c-eae74765cfc5 · outbound

This paper cites Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:34.610715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e947e4-8ff2-4726-b39c-c7a586559ccb · outbound

This paper cites Generative adversarial networks: An overview,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Generative adversarial networks: An overview,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.902850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73b7b32b-366c-4407-8752-7a178944551c · outbound

This paper cites Auto-encoding variational bayes,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Auto-encoding variational bayes,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:34.812366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0524cec-81d3-406c-b8fa-4f7eb71497dc · outbound

This paper cites Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:34.945241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e50accd2-b603-4528-9772-02df4b4cb98f · outbound

This paper cites Generative ai based secure wireless sensing for isac networks,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Generative ai based secure wireless sensing for isac networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.889442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5c2bfdc-6f5d-4f45-8249-8864a13c3971 · outbound

This paper cites Generative ai meets wireless networking: An interactive paradigm for intent-driven communications,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Generative ai meets wireless networking: An interactive paradigm for intent-driven communications,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.881640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b5588ab-a997-48bd-aefb-79fe537307d6 · outbound

This paper cites Optimizing resource allocation for multi-modal semantic communication in mobile aigc networks: A diffusion-based game approach,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Optimizing resource allocation for multi-modal semantic communication in mobile aigc networks: A diffusion-based game approach,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.873229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 58b5efa1-0bc7-43dd-9853-13742fe35637 · outbound

This paper cites Maximum-Likelihood Estimation Based on Diffusion Model For Wireless Communications.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Maximum-Likelihood Estimation Based on Diffusion Model For Wireless Communications

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T16:57:35.258328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9cea81-f845-4cc5-809d-6a3ad28d5728 · outbound

This paper cites Diffusion models in vision: A survey,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Diffusion models in vision: A survey,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.864092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b0c00486-a345-4492-b496-1426021aa9c2 · outbound

This paper cites Denoising diffusion probabilistic models,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Denoising diffusion probabilistic models,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.855385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8c649538-e0da-45e9-8bc1-8d6ac5f9d45c · outbound

This paper cites Denoising diffusion implicit models,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Denoising diffusion implicit models,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.586257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54ab90ff-17f8-4ed5-a0f1-39c857576b90 · outbound

This paper cites Dominant path prediction model for urban scenarios,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Dominant path prediction model for urban scenarios,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:36.214713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2083ccb3-9c37-4bea-90dc-d4c5612bb052 · outbound

This paper cites 3d u-net: Learning dense volumetric segmentation from sparse annotation,.

RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication 3d u-net: Learning dense volumetric segmentation from sparse annotation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:57:35.803769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Reference resolution

Outbound references

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