Paper Citation Record · LEDGER

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.17530.

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

pith.paper-citation-record.v1
2505.17530 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:32.725712Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

39 of 39 outbound references displayed

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verified fuzzy35
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25401c73-a94a-4dbc-95cf-94dee2b80717 · outbound

This paper cites Accessing From the Sky: A Tutorial on UA V Communications for 5G and Beyond,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Accessing From the Sky: A Tutorial on UA V Communications for 5G and Beyond,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:39.300826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1da1319c-5679-4845-870c-ac02335fe4d2 · outbound

This paper cites Gps-aided deep learning for beam prediction and tracking in uav mmwave communication,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Gps-aided deep learning for beam prediction and tracking in uav mmwave communication,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:39.134535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1ca9170-b1a9-4e51-88b8-74023550a01e · outbound

This paper cites A Survey on Millimeter-Wave Beamforming Enabled UA V Communi- cations and Networking,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication A Survey on Millimeter-Wave Beamforming Enabled UA V Communi- cations and Networking,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:38.851486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4073f7b4-5289-49b4-b498-32d36d19b17c · outbound

This paper cites What Will the Future of UA V Cellular Communications Be? A Flight From 5G to 6G,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication What Will the Future of UA V Cellular Communications Be? A Flight From 5G to 6G,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:38.655460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d16e6e13-8b84-47af-8ac7-89ccc8c19d67 · outbound

This paper cites A Survey of Beam Management for mmWave and THz Communications Towards 6G,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication A Survey of Beam Management for mmWave and THz Communications Towards 6G,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:38.436039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b9d445a-3c46-4b34-b424-ffa5b4948542 · outbound

This paper cites Research Chal- lenges and Opportunities of UA V Millimeter-Wave Communications,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Research Chal- lenges and Opportunities of UA V Millimeter-Wave Communications,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:38.249863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 415d8b67-c89f-4f05-a541-4d46a5c40038 · outbound

This paper cites A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:38.098335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72579c7c-0a86-497d-bfc3-bbde8a42f10f · outbound

This paper cites Beam training and tracking in mmWave communication: A survey,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Beam training and tracking in mmWave communication: A survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:37.956616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ad8ef92-c829-472e-8a42-22dc99d414f3 · outbound

This paper cites Beam Training Based on Dynamic Hierarchical Codebook for Millimeter Wave Massive MIMO,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Beam Training Based on Dynamic Hierarchical Codebook for Millimeter Wave Massive MIMO,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:37.761101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ac0fad6-5ab0-402b-a455-d0bd2cf9b853 · outbound

This paper cites Hierarchical Codebook- Based Multiuser Beam Training for Millimeter Wave Massive MIMO,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Hierarchical Codebook- Based Multiuser Beam Training for Millimeter Wave Massive MIMO,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:37.620248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f7b0546-6c61-41ea-a591-ea2978663bb7 · outbound

This paper cites Channel Es- timation and Hybrid Precoding for Millimeter Wave Cellular Systems,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Channel Es- timation and Hybrid Precoding for Millimeter Wave Cellular Systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:37.448981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb634cec-a276-4f66-8194-a5f2b3f3fc1b · outbound

This paper cites Two-stage compressed sensing for millimeter wave channel estimation,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Two-stage compressed sensing for millimeter wave channel estimation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:37.157432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7bc6c948-602a-4def-b689-31638ef9b7d7 · outbound

This paper cites Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:37.005579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01a01494-1924-47fa-96c2-b09d567a7678 · outbound

This paper cites Multimodal Fusion Assisted Mmwave Beam Training in Dual-Model Networks,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Multimodal Fusion Assisted Mmwave Beam Training in Dual-Model Networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:30.764026Z

Source-reported events for the cited work

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Observation b8626ec6-673b-49e8-8c57-60e7219fedd3 · outbound

This paper cites Robust Beam Tracking with Extended Kalman Filtering for Mobile Millimeter Wave Communications,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Robust Beam Tracking with Extended Kalman Filtering for Mobile Millimeter Wave Communications,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:36.915155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56b4b7d7-db59-413d-b1a0-13c22aeb3fa3 · outbound

This paper cites Adaptive Beam Tracking With the Unscented Kalman Filter for Millimeter Wave Communication,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Adaptive Beam Tracking With the Unscented Kalman Filter for Millimeter Wave Communication,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:36.740712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62246285-b1c8-4819-89a4-2ff1b254d712 · outbound

This paper cites Position Prediction Based Fast Beam Tracking Scheme for Multi-User UA V-mmWave Communications,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Position Prediction Based Fast Beam Tracking Scheme for Multi-User UA V-mmWave Communications,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:36.624133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d06973e2-7542-4155-bdd3-b6d4a46b83bb · outbound

This paper cites Learning-Based Predictive Beamforming for UA V Communications With Jittering,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Learning-Based Predictive Beamforming for UA V Communications With Jittering,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:36.525297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d6fdc94-ea27-4891-82d1-87044ba96020 · outbound

This paper cites Location-Aware Predictive Beamforming for UA V Communications: A Deep Learning Approach,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Location-Aware Predictive Beamforming for UA V Communications: A Deep Learning Approach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:36.287935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 861536d8-3072-464a-9789-cb1b0b3e85e8 · outbound

This paper cites Position-Aided Beam Prediction in the Real World: How Useful GPS Locations Actually are?.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Position-Aided Beam Prediction in the Real World: How Useful GPS Locations Actually are?

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:36.108036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95cb96c7-e37c-4c34-b4f1-2f4cfa5e0a46 · outbound

This paper cites LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:35.934748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 79354986-9b53-4670-a9e5-1169f834dac1 · outbound

This paper cites Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:35.782373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d3bf46e-740a-4ef2-bb42-c0f0b0cc92ec · outbound

This paper cites Millimeter Wave V2V Beam Tracking using Radar: Algorithms and Real-World Demonstration,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Millimeter Wave V2V Beam Tracking using Radar: Algorithms and Real-World Demonstration,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:35.567299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a50b71f8-dcfc-4c7d-afca-032241dc25de · outbound

This paper cites Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:35.360228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f60a69e-6fc9-4a25-94bb-2e07b37f6b7b · outbound

This paper cites Towards Real-World 6G Drone Communication: Position and Camera Aided Beam Prediction,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Towards Real-World 6G Drone Communication: Position and Camera Aided Beam Prediction,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:35.134626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 057e2d97-8a83-4818-8db0-6039bf404ace · outbound

This paper cites Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:34.960685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72861ff2-08ca-445e-86bb-aee8cf5c62a5 · outbound

This paper cites Vision-Assisted Beam Prediction for Real World 6G Drone Communication,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Vision-Assisted Beam Prediction for Real World 6G Drone Communication,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:34.765742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 87b6c19c-f2ac-499c-ad36-79b27d394dea · outbound

This paper cites Vision-assisted Beam Pre- diction for UA V-enabled Millimeter-Wave Communications using SE- ResNet50,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Vision-assisted Beam Pre- diction for UA V-enabled Millimeter-Wave Communications using SE- ResNet50,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:34.614247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dedcb2ad-e7fe-4e3b-a8df-a48f816c437b · outbound

This paper cites Sensing-Aided 6G Drone Communications: Real-World Datasets and Demonstration,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Sensing-Aided 6G Drone Communications: Real-World Datasets and Demonstration,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:34.517072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db5020c8-c8ec-46d1-a769-e6f4ce88d3fd · outbound

This paper cites DeepSense 6G: A Large-Scale Real- World Multi-Modal Sensing and Communication Dataset,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication DeepSense 6G: A Large-Scale Real- World Multi-Modal Sensing and Communication Dataset,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:34.413899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba055dc6-c899-41ea-947d-3f8470cbe825 · outbound

This paper cites Characterizing Driving Styles with Deep Learning.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Characterizing Driving Styles with Deep Learning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:48:32.912740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01537037-89c0-42bd-9b5e-46ddb5a66d69 · outbound

This paper cites A note on computation of Geodetic coordinates from geocentric (Cartesian) coordinates,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication A note on computation of Geodetic coordinates from geocentric (Cartesian) coordinates,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:34.241723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5ed51aa-c2fa-4afe-986f-287fc568e4a4 · outbound

This paper cites Conversion of Earth-centered Earth-fixed coordinates to geode- tic coordinates,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Conversion of Earth-centered Earth-fixed coordinates to geode- tic coordinates,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:34.106697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91bde3f2-9810-4103-845a-28eee5e7752c · outbound

This paper cites State-of-the-Art in 1D Convolutional Neural Networks: A Survey,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication State-of-the-Art in 1D Convolutional Neural Networks: A Survey,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:33.921020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ffe468d-4e22-4824-b4ad-974152970f2b · outbound

This paper cites Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:33.750338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7225b3b6-9f09-47dc-a966-bd422e7464e0 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:33.583211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21aa85cb-2cb3-4fcb-ace2-1e444d6fc83d · outbound

This paper cites Multi-Modal Sensing-Aided Beam Prediction using Poolformer for UA V Communications,.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Multi-Modal Sensing-Aided Beam Prediction using Poolformer for UA V Communications,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:33.347129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e9169e5b-59d7-4222-b9c8-0a3ec10a661f · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:32.619347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffb9faff-c7bc-4c89-ad78-2b44731f67f1 · outbound

This paper cites Sensing-Aided 6G Drone Communications: Real-World Datasets and Demonstration.

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication Sensing-Aided 6G Drone Communications: Real-World Datasets and Demonstration

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:48:33.088060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.