Paper Citation Record · LEDGER

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.09606.

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

pith.paper-citation-record.v1
2509.09606 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:50:04.403667Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation 5f348f03-192c-40f0-85f8-62c4320851b1 · outbound

This paper cites 6g wireless systems: Vision, requirements, challenges, insights, and opportunities,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks 6g wireless systems: Vision, requirements, challenges, insights, and opportunities,

Reference 1

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Observation 7c702a88-5f6a-424d-ae29-bc5c8e0d1846 · outbound

This paper cites Uav communications for 5g and beyond: Recent advances and future trends,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Uav communications for 5g and beyond: Recent advances and future trends,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.261858Z

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Observation 8ba433f9-cfa0-4a00-a2dd-068e5b5d2eac · outbound

This paper cites A survey on channel sounding technologies and measurements for uav-assisted communications,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks A survey on channel sounding technologies and measurements for uav-assisted communications,

Reference 3

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Observation 3b45d60f-00db-40f4-be6e-3daab1f8d75d · outbound

This paper cites A comprehensive survey on uav communi- cation channel modeling,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks A comprehensive survey on uav communi- cation channel modeling,

Reference 4

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Observation 280b10d8-9226-4133-8806-b2eb0d0a455e · outbound

This paper cites Impact of 3-D antenna radiation pattern in UA V Air-to-Ground path loss modeling and RSRP-Based localization in rural area,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Impact of 3-D antenna radiation pattern in UA V Air-to-Ground path loss modeling and RSRP-Based localization in rural area,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.276735Z

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Observation b9b7793e-7295-4704-bab9-e666d16a5f33 · outbound

This paper cites Air-to-Ground large-scale channel characterization by ray tracing,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Air-to-Ground large-scale channel characterization by ray tracing,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.282510Z

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Observation 77b436de-a3f4-47fa-81b4-f98b6f3007eb · outbound

This paper cites A 3-D geometry-based stochastic model for Unmanned Aerial Vehicle MIMO ricean fading channels,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks A 3-D geometry-based stochastic model for Unmanned Aerial Vehicle MIMO ricean fading channels,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.288544Z

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Observation ef45a58a-c5d9-48f7-bc1d-0744224df521 · outbound

This paper cites Machine-learning-based pre- diction methods for path loss and delay spread in air-to-ground millimetre-wave channels,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Machine-learning-based pre- diction methods for path loss and delay spread in air-to-ground millimetre-wave channels,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.294024Z

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Observation 415f3a7b-d569-435e-a350-79fafafb3927 · outbound

This paper cites Air-to- ground path loss prediction using ray tracing and measurement data jointly driven DNN,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Air-to- ground path loss prediction using ray tracing and measurement data jointly driven DNN,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.299134Z

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Observation 8e71b66e-056a-4c49-8ad2-c09cf43d5a51 · outbound

This paper cites An artificial intelligence ra- dio propagation model based on geographical information,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks An artificial intelligence ra- dio propagation model based on geographical information,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.304486Z

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Observation 79888a75-179e-4473-a09b-d7ff111b48cb · outbound

This paper cites Interpretable AI-based large- scale 3D pathloss prediction model for enabling emerging self-driving networks,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Interpretable AI-based large- scale 3D pathloss prediction model for enabling emerging self-driving networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.309538Z

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Observation 35ea1dd5-6d37-4e8e-b537-124f2a46041f · outbound

This paper cites Evolutionary ensemble learning pathloss prediction for 4G and 5G flying base stations with UA Vs,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Evolutionary ensemble learning pathloss prediction for 4G and 5G flying base stations with UA Vs,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.314593Z

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Observation 984bddca-62c8-4c65-b6c3-6b750bd7d7f7 · outbound

This paper cites Ge- ometrical features based-mmwave uav path loss prediction using machine learning for 5g and beyond,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Ge- ometrical features based-mmwave uav path loss prediction using machine learning for 5g and beyond,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.321219Z

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Observation 5e82da35-cd42-4c4e-a24b-2ea78ae671e5 · outbound

This paper cites Radiounet: Fast radio map esti- mation with convolutional neural networks,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Radiounet: Fast radio map esti- mation with convolutional neural networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.328464Z

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Observation 257667b9-ee33-4148-b40b-61c608be05a4 · outbound

This paper cites Deeprem: Deep-learning-based radio environment map estimation from sparse measurements,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Deeprem: Deep-learning-based radio environment map estimation from sparse measurements,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.334088Z

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Observation 25876ff7-1f2b-45fa-8745-db3f7fbfc58f · outbound

This paper cites Pmnet: Robust pathloss map prediction via supervised learning,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Pmnet: Robust pathloss map prediction via supervised learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.339318Z

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Observation 3b7ca9b7-632b-4ab7-bedb-19cc42708b70 · outbound

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

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks A scalable and generalizable pathloss map prediction,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.344214Z

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Observation 44c1569a-ef46-40e9-8a32-3c32f2f1a230 · outbound

This paper cites Physics-informed neural networks for path loss estimation by solving electromagnetic integral equations,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Physics-informed neural networks for path loss estimation by solving electromagnetic integral equations,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.349133Z

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Observation 49ad47fd-c9ba-4377-a2d9-a9dbdff26799 · outbound

This paper cites RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1\textpertenthousand Spatial Sampling.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1\textpertenthousand Spatial Sampling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.353944Z

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Observation e1f7e9a1-a2ec-4851-a79d-6a4d4d128b4d · outbound

This paper cites Efficient preprocessed ray tracing for 5G mobile trans- mitter scenarios in urban microcellular environments,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Efficient preprocessed ray tracing for 5G mobile trans- mitter scenarios in urban microcellular environments,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.359419Z

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Observation fb08ea4e-cf45-48d7-846f-a937e94b1bf3 · outbound

This paper cites A dynamic visibility algorithm for ray tracing in out- door environments with moving transmitters and scatterers,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks A dynamic visibility algorithm for ray tracing in out- door environments with moving transmitters and scatterers,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.364055Z

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Unavailable: canonical work link unavailable.

Observation b52b3aa5-2008-43fe-85e6-4c1a0d66e4b9 · outbound

This paper cites A visibility matching technique for efficient millimeter- wave vehicular channel modeling,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks A visibility matching technique for efficient millimeter- wave vehicular channel modeling,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.369340Z

Source-reported events for the cited work

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Observation cd62b37d-f744-4792-9816-674c2e0d1125 · outbound

This paper cites Measurement and modelling of scattering from buildings,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Measurement and modelling of scattering from buildings,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.374151Z

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Observation b57e63f6-4e91-42df-b72f-8b9896b1cebd · outbound

This paper cites 5g 3gpp-like channel models for outdoor urban microcellular and macrocellular environments,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks 5g 3gpp-like channel models for outdoor urban microcellular and macrocellular environments,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.378681Z

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Observation 395b7f98-42f7-4539-a25a-329da0adcd40 · outbound

This paper cites Recommendation ITU-R P.2109-2: Pre- diction of building entry loss,.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Recommendation ITU-R P.2109-2: Pre- diction of building entry loss,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.383593Z

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Observation c5a1d301-7b95-4aa6-b0fa-8b1adeaa5f96 · outbound

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

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks U-net: Convolutional networks for biomedical image segmentation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.388629Z

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Observation 1a354c7d-6cd0-46fd-94b6-8a59be319054 · outbound

This paper cites Study on channel model for frequency spectrum above 6 GHz (Release 15),.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Study on channel model for frequency spectrum above 6 GHz (Release 15),

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.393706Z

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Observation f1faab90-dc34-421a-aa41-ca6447d00ea4 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz (Release 19),.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks Study on channel model for frequencies from 0.5 to 100 GHz (Release 19),

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.398797Z

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Observation a71abd57-ccdc-4e8d-91a2-78a7e07899d5 · outbound

This paper cites 2023, p Series: Radiowave Propagation.

A Multi-Scale Feature Extraction and Fusion UNet for Pathloss Prediction in UAV-Assisted mmWave Radio Networks 2023, p Series: Radiowave Propagation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:04.403667Z

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Pith citing papers

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