Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks | Paper Citation Record

Observation f3a9f3ce-92a6-4c4c-8797-dbb23ac7f611 · outbound

This paper cites A survey of wireless path loss prediction and coverage mapping methods,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks A survey of wireless path loss prediction and coverage mapping methods,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.873757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bbcbae4b-6201-41dd-85fe-25ca8d9e40e3 · outbound

This paper cites Contextual Combinatorial Beam Management via Online Probing for Multiple Access mmWave Wireless Networks.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Contextual Combinatorial Beam Management via Online Probing for Multiple Access mmWave Wireless Networks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:02:23.381126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce7b8f15-1eb1-49ee-a40e-7fa442b24f45 · outbound

This paper cites Context-aware beam man- agement via online probing in combinatorial multi-armed bandits,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Context-aware beam man- agement via online probing in combinatorial multi-armed bandits,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.861213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 576cd293-336a-436a-988a-07db2ac5841e · outbound

This paper cites Network digital twin: Context, enabling technologies, and opportuni- ties,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Network digital twin: Context, enabling technologies, and opportuni- ties,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.848748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 75b03951-e566-4edb-ae36-92dc0206628a · outbound

This paper cites Optimizing synchronization delay for digital twin over wireless networks,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Optimizing synchronization delay for digital twin over wireless networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.837191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc848993-8268-4b8a-86ec-0ceac0d622e7 · outbound

This paper cites A joint communication and computation framework for digital twin over wireless networks,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks A joint communication and computation framework for digital twin over wireless networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.824081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2941492-4747-4ed3-b9e5-512849c7a424 · outbound

This paper cites Closed-form beamforming aided joint optimization for spectrum-and energy-efficient UA V-BS networks,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Closed-form beamforming aided joint optimization for spectrum-and energy-efficient UA V-BS networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.810192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b4ab9c1-59e2-43b4-9cbf-3059d4c181a3 · outbound

This paper cites Analysis of drone as- sisted network coded cooperation for next generation wireless network,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Analysis of drone as- sisted network coded cooperation for next generation wireless network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.797193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd2c0d90-1cf1-4ab3-9a0d-57cdc240242a · outbound

This paper cites Ray tracing for radio propagation modeling: Principles and applications,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Ray tracing for radio propagation modeling: Principles and applications,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:22.953945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa98658-e58d-441d-bd09-2211b64b7089 · outbound

This paper cites Map-driven mmwave link quality prediction with spatial-temporal mobility awareness,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Map-driven mmwave link quality prediction with spatial-temporal mobility awareness,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.777641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1cd871a4-d328-451e-8d10-596d8d511f20 · outbound

This paper cites Environment-aware link quality prediction for millimeter-wave wireless lans,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Environment-aware link quality prediction for millimeter-wave wireless lans,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.765694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96e44a74-0148-4a3f-b2b8-97175d6598f2 · outbound

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

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Kriging-based interference power constraint: Integrated design of the radio environment map and transmission power,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:22.965770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf64dfef-b674-4bb4-8833-f0563a0378d0 · outbound

This paper cites Aerial spectrum surveying: Radio map estimation with autonomous UA Vs,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Aerial spectrum surveying: Radio map estimation with autonomous UA Vs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.744208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 85ef38e9-55b5-41d8-9108-241958894c1a · outbound

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

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Propagation map reconstruction via interpolation assisted matrix completion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.732036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4860fad6-c5db-453e-8b14-9fe708d6a9cb · outbound

This paper cites Reducing the effects of motion artifacts in fmri: A structured matrix completion approach,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Reducing the effects of motion artifacts in fmri: A structured matrix completion approach,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.719627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a508841-1be5-489b-8d1f-5d7f970b8e18 · outbound

This paper cites Cognitive radio spectrum prediction using dictionary learning,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Cognitive radio spectrum prediction using dictionary learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.708162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 272a46fd-7392-4974-b0b7-1a406fc31405 · outbound

This paper cites Spatial signal strength predic- tion using 3d maps and deep learning,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Spatial signal strength predic- tion using 3d maps and deep learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.696587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e1bd06d-ab32-4ba3-9fd5-779a97444243 · outbound

This paper cites Deep completion autoencoders for ra- dio map estimation,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Deep completion autoencoders for ra- dio map estimation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:22.989159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b97355a-e8b4-49ff-8176-698ba91077b6 · outbound

This paper cites Machine learning-based urban canyon path loss prediction using 28 ghz manhattan measurements,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Machine learning-based urban canyon path loss prediction using 28 ghz manhattan measurements,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.675291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 30110a0e-a21d-4ada-9859-3b0e89ff652f · outbound

This paper cites Transformer- based neural surrogate for link-level path loss prediction from variable- sized maps,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Transformer- based neural surrogate for link-level path loss prediction from variable- sized maps,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.662561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2431aeac-8966-463e-97fe-3f50b1f712d0 · outbound

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

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Radiounet: Fast radio map estimation with convolutional neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.001546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c11944b4-b214-48b1-a17f-d7d030b46a22 · outbound

This paper cites A scalable and generalizable pathloss map prediction,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks A scalable and generalizable pathloss map prediction,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.005770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e149cf-6031-44c6-92c6-f40b0fa1b1d7 · outbound

This paper cites Da-cgan: A framework for indoor radio design using a dimension-aware conditional generative adversarial network,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Da-cgan: A framework for indoor radio design using a dimension-aware conditional generative adversarial network,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.633773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b15882e-48d3-4dd7-b054-e885044cf4e1 · outbound

This paper cites Radio map estimation using a generative adversarial network and related business aspects,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Radio map estimation using a generative adversarial network and related business aspects,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.621050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09dfff27-d230-45a7-b69a-90d52dc6bcd8 · outbound

This paper cites Access-point centered window- based radio-map generation network,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Access-point centered window- based radio-map generation network,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.608100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 804c4aa5-8008-4157-aa12-c9bfada86a0b · outbound

This paper cites RME-GAN: a learning frame- work for radio map estimation based on conditional generative adver- sarial network,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks RME-GAN: a learning frame- work for radio map estimation based on conditional generative adver- sarial network,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.595833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eab8fcb8-9051-4d68-bdd3-c3eafd3a4e07 · outbound

This paper cites IRGAN: CGAN-based indoor radio map prediction,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks IRGAN: CGAN-based indoor radio map prediction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.583855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a99be7c4-4255-4c7b-929f-0e3cf7f1c222 · outbound

This paper cites Denoising diffusion probabilistic models,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Denoising diffusion probabilistic models,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.033452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a22fd5f-5b9a-4f1e-a299-a0af7919aca3 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks High- resolution image synthesis with latent diffusion models,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.037692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cc6877c-d2a9-40a6-9b37-647707472ae7 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Imagen Video: High Definition Video Generation with Diffusion Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.041931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0856b783-fbb9-458a-a687-5446a2c9269b · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.046818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38f72d31-dbd0-4f0a-a84e-b4cc53e5bdbf · outbound

This paper cites Csdi: Conditional score- based diffusion models for probabilistic time series imputation,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Csdi: Conditional score- based diffusion models for probabilistic time series imputation,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.051229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3884079d-25ff-4c23-a5c8-51c4524ff936 · outbound

This paper cites Generative time series forecasting with diffusion, denoise, and disentanglement,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Generative time series forecasting with diffusion, denoise, and disentanglement,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.548378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c374138-86b4-4e36-b6e3-0d96ff5a891b · outbound

This paper cites A survey on diffusion models for time series and spatio-temporal data,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks A survey on diffusion models for time series and spatio-temporal data,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.059617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485b457f-af42-44ca-927d-01ae36d4dcd1 · outbound

This paper cites Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.535883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3f82983-1e2a-48d7-b324-8f93d05b43b0 · outbound

This paper cites Score-based generative models for robust channel estimation,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Score-based generative models for robust channel estimation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.521752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05aa6994-ee3c-42a7-88e6-cef17c5d2801 · outbound

This paper cites CDDM: Channel denoising diffusion models for wireless communications,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks CDDM: Channel denoising diffusion models for wireless communications,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.505836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3fb63608-962e-4824-a8f1-578b5c732276 · outbound

This paper cites Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:02:23.257048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9abcf276-ac02-4ffd-8fd0-a4902c75fb0b · outbound

This paper cites Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:02:23.230849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 13720560-7338-418c-a7a9-590487c905da · outbound

This paper cites Learning end-to-end channel coding with diffusion models,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Learning end-to-end channel coding with diffusion models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.491066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b1a18da5-4e82-4f56-be60-847dabc106a8 · outbound

This paper cites Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:02:23.207138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9d7b988-0bec-4c62-ab58-ed6845e02390 · outbound

This paper cites A hybrid wireless image transmission scheme with diffusion,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks A hybrid wireless image transmission scheme with diffusion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.476475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 564a4e00-e14d-4714-b639-a06d5e70beb7 · outbound

This paper cites High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:02:23.186844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c95b80c8-74d8-438a-a9bd-4e8173d693f4 · outbound

This paper cites Commin: Semantic image communications as an inverse problem with inn-guided diffusion models,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Commin: Semantic image communications as an inverse problem with inn-guided diffusion models,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.463375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 21cc2447-51ff-4704-9857-2b351976ffea · outbound

This paper cites Rm-gen: Conditional diffusion model-based radio map generation for wireless networks,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Rm-gen: Conditional diffusion model-based radio map generation for wireless networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.450828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cbd57ca-d41c-4def-a0c0-c65ee0d4066f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks U-net: Convolutional networks for biomedical image segmentation,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.111595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcfab49a-f3d6-4949-a189-0c4b22d2c267 · outbound

This paper cites 6G wireless channel measurements and models: Trends and challenges,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks 6G wireless channel measurements and models: Trends and challenges,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.427532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0969f151-bc3b-401a-994c-0547c6bdc783 · outbound

This paper cites Comparison of ray tracing simulations and millimeter wave channel sounding mea- surements,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Comparison of ray tracing simulations and millimeter wave channel sounding mea- surements,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:23.409757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88cf069b-3cab-4c12-a486-50aabfe11c2f · outbound

This paper cites Conditional Generative Adversarial Nets.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Conditional Generative Adversarial Nets

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.122578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbca32a9-fe09-42a4-b478-0f1b7c432e1c · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Image-to-image translation with conditional adversarial networks,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.127207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fdc030-f2c2-4f62-8cf2-b2b5301536ac · outbound

This paper cites Generative adversarial networks: An overview,.

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks Generative adversarial networks: An overview,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:23.131726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers