Paper Citation Record · LEDGER

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.15808.

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

pith.paper-citation-record.v1
2506.15808 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:55:43.689888Z

measured 51 of 51 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:15:24.371619Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:15:27.142575Z

Reference resolution

50 of 50 outbound references displayed

verified exact5
verified fuzzy25
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7664bbd-8bde-4f93-87d5-afa1555b0883 · outbound

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

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.241771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12128807-caca-45ea-a956-fabbf070d9b4 · outbound

This paper cites Massive MIMO for next generation wireless systems,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Massive MIMO for next generation wireless systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:41.446829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8353695b-6abb-40c3-b37c-be01f1fbd286 · outbound

This paper cites Next generation advanced transceiver technologies for 6G and beyond,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Next generation advanced transceiver technologies for 6G and beyond,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:41.541735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64515806-6cee-46bd-8b25-3bb17b661140 · outbound

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

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Channel estimation for extremely large-scale massive MIMO systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.225683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 627c4413-e388-479d-b064-7e3eeb895d61 · outbound

This paper cites Terahertz multi-user massive MIMO with intelligent reflecting surface: Beam training and hybrid beamforming,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Terahertz multi-user massive MIMO with intelligent reflecting surface: Beam training and hybrid beamforming,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.218601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86696ba4-863e-449d-b09e-a9562f7c9a29 · outbound

This paper cites Target sensing with intelligent reflecting surface: Architecture and performance,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Target sensing with intelligent reflecting surface: Architecture and performance,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:41.793277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3937bca0-251c-42df-9ecf-e2d54108c7d0 · outbound

This paper cites Scalable cell-free massive MIMO systems,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Scalable cell-free massive MIMO systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.206519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc4c8291-1891-4d53-b834-0c4db106a645 · outbound

This paper cites Hybrid digital and analog beamforming design for large-scale mimo systems,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Hybrid digital and analog beamforming design for large-scale mimo systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.199597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bde46bb7-1606-4764-a6da-8dfead666b55 · outbound

This paper cites Full-angle digital predistortion of 5G millimeter-wave massive MIMO transmitters,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Full-angle digital predistortion of 5G millimeter-wave massive MIMO transmitters,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.192747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e75d6a1-d6c7-4b65-b1f5-1a5bf5b399c7 · outbound

This paper cites 6D movable antenna based on user distribution: Modeling and optimization,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning 6D movable antenna based on user distribution: Modeling and optimization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:42.199849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd5db00-1827-4cf5-be6c-9e1405f7f27a · outbound

This paper cites 6D movable antenna enhanced wireless network via discrete position and rotation optimiza- tion,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning 6D movable antenna enhanced wireless network via discrete position and rotation optimiza- tion,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:42.356983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 928fbc13-5ca7-4bb7-8231-655934bc3916 · outbound

This paper cites Exploiting six-dimensional mov- able antenna for wireless sensing,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Exploiting six-dimensional mov- able antenna for wireless sensing,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:42.537148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0914b7-5f99-4d4a-89e6-dcf5697cdb50 · outbound

This paper cites 6DMA enhanced wireless network with flexible antenna position and rotation: Opportunities and challenges,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning 6DMA enhanced wireless network with flexible antenna position and rotation: Opportunities and challenges,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.171955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f6809d1-6020-411f-97b9-074346870be9 · outbound

This paper cites Capacity maximization for base station with hybrid fixed and movable antennas,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Capacity maximization for base station with hybrid fixed and movable antennas,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.165026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 286f3f0f-d899-4fe8-87c2-4ad95ff244ac · outbound

This paper cites Distributed Channel Estimation and Optimization for 6D Movable Antenna: Unveiling Directional Sparsity.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Distributed Channel Estimation and Optimization for 6D Movable Antenna: Unveiling Directional Sparsity

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:43.872792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b797aeef-f543-4ac2-83c3-d5c62688c7ee · outbound

This paper cites Polarized 6D Movable Antenna for Wireless Communication: Channel Modeling and Optimization.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Polarized 6D Movable Antenna for Wireless Communication: Channel Modeling and Optimization

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:43.862091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 284295d9-7c74-4b06-a949-1d61dd32f6ab · outbound

This paper cites Polarforming Antenna Enhanced Sensing and Communication: Modeling and Optimization.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Polarforming Antenna Enhanced Sensing and Communication: Modeling and Optimization

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:43.851279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5569afaa-1c2d-4291-afbf-550b2ce68584 · outbound

This paper cites UAV-Enabled Passive 6D Movable Antennas: Joint Deployment and Beamforming Optimization.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning UAV-Enabled Passive 6D Movable Antennas: Joint Deployment and Beamforming Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.221479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ee8f89-808e-458c-9af8-4b0442b83e45 · outbound

This paper cites Intelligent reflecting surface-aided wireless communication with movable elements,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Intelligent reflecting surface-aided wireless communication with movable elements,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.334524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0b1388c-d297-4856-a0fc-ac069ad8400a · outbound

This paper cites Wireless Communication with Flexible Reflector: Joint Placement and Rotation Optimization for Coverage Enhancement.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Wireless Communication with Flexible Reflector: Joint Placement and Rotation Optimization for Coverage Enhancement

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:43.829329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b9fa330-b6f4-4114-8dab-e801749d1a35 · outbound

This paper cites A Tutorial on Six-Dimensional Movable Antenna for 6G Networks: Synergizing Positionable and Rotatable Antennas.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning A Tutorial on Six-Dimensional Movable Antenna for 6G Networks: Synergizing Positionable and Rotatable Antennas

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.500320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ef8b15-c64c-40c8-8064-eff44345f112 · outbound

This paper cites UA V-enabled passive 6DMA for ISAC: Joint location, orientation, and reflection optimization,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning UA V-enabled passive 6DMA for ISAC: Joint location, orientation, and reflection optimization,

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:55:43.800435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8750370-7899-46c0-bfb3-68c82847a5f5 · outbound

This paper cites 6DMA-aided cell-free massive MIMO communication,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning 6DMA-aided cell-free massive MIMO communication,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.152966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c0f740b-914d-495a-bea0-c222f587148a · outbound

This paper cites Passive six-dimensional movable antenna (6dma)- assisted multiuser communication,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Passive six-dimensional movable antenna (6dma)- assisted multiuser communication,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.628126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac0350a-2596-403a-8393-26d586f2f06a · outbound

This paper cites Wireless communi- cation with flexible reflector: Joint placement and rotation optimization for coverage enhancement,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Wireless communi- cation with flexible reflector: Joint placement and rotation optimization for coverage enhancement,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.140990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 363a6647-3fa7-4f0c-bcdc-5519d2c9b5f0 · outbound

This paper cites 6DMA-Aided Hybrid Beamforming with Joint Antenna Position and Orientation Optimization.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning 6DMA-Aided Hybrid Beamforming with Joint Antenna Position and Orientation Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.633546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41ef74d-e5c5-4001-84ab-b579f959549d · outbound

This paper cites A tutorial on movable antennas for wireless networks,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning A tutorial on movable antennas for wireless networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.133155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1ec5ffe-3345-4c94-933a-ce707191aa38 · outbound

This paper cites Performance analysis and optimization for movable antenna aided wideband communications,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Performance analysis and optimization for movable antenna aided wideband communications,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.638539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 312c41ca-1bd7-47b5-ba20-621595c152f2 · outbound

This paper cites Globally Optimal Movable Antenna-Enhanced multiuser Communication: Discrete Antenna Positioning, Motion Power Consumption, and Imperfect CSI.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Globally Optimal Movable Antenna-Enhanced multiuser Communication: Discrete Antenna Positioning, Motion Power Consumption, and Imperfect CSI

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.640924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43936920-fbab-4992-859c-1435dfa09102 · outbound

This paper cites Capacity maximization for FAS-assisted multiple access channels,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Capacity maximization for FAS-assisted multiple access channels,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:44.121021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39a0aa39-7e65-4706-952a-fa9364301084 · outbound

This paper cites Secure wireless communication via movable-antenna array,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Secure wireless communication via movable-antenna array,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.645642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae1fbd5f-171e-46c5-b6f7-01bfeaeec8ff · outbound

This paper cites Movable-Antenna Position Optimization for Physical-Layer Security via Discrete Sampling.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Movable-Antenna Position Optimization for Physical-Layer Security via Discrete Sampling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.647891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f6153d-133d-4ece-a3f4-d2d75a5f851b · outbound

This paper cites Movable antenna enabled integrated sensing and communication,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Movable antenna enabled integrated sensing and communication,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.650799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ac04664-3049-4534-8c7d-d7b80198dff7 · outbound

This paper cites Channel estimation for extremely large-scale massive MIMO: Far-field, near-field, or hybrid-field?.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Channel estimation for extremely large-scale massive MIMO: Far-field, near-field, or hybrid-field?

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.986168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2c7a869-2745-43f0-aa11-60265dceae66 · outbound

This paper cites Beam focusing for near-field multiuser mimo com- munications,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Beam focusing for near-field multiuser mimo com- munications,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.979081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4964cc6-f765-4c53-8f92-1943402604ec · outbound

This paper cites Channel estimation for extremely large-scale MIMO: Far-field or near-field?.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Channel estimation for extremely large-scale MIMO: Far-field or near-field?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.658753Z

Source-reported events for the cited work

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Observation 2b5ebe58-b3c9-4ead-a10e-434efc9b114e · outbound

This paper cites Near-field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Near-field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.967112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dcd19294-e66a-46f5-af5f-823fe839b01e · outbound

This paper cites Near- field communications: A tutorial review,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Near- field communications: A tutorial review,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.663002Z

Source-reported events for the cited work

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Observation 2dc0e13b-7259-4c72-ac65-f241a7b26f09 · outbound

This paper cites Feature-aided adaptive-tuning deep learning for massive device detection,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Feature-aided adaptive-tuning deep learning for massive device detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.955027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5c52c58-b6f3-445a-aa19-0213f5c71dcb · outbound

This paper cites Intelligent surfaces empowered wireless network: Recent advances and the road to 6G,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Intelligent surfaces empowered wireless network: Recent advances and the road to 6G,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.667695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 784d02dd-8c45-486a-8569-ba22aa21d701 · outbound

This paper cites Reinforcement learning meets wireless networks: A layering perspective,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Reinforcement learning meets wireless networks: A layering perspective,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.943090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df6fb4cd-b60a-4787-b577-93a7d9cf193b · outbound

This paper cites Applications of deep reinforcement learning in communications and networking: A survey,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Applications of deep reinforcement learning in communications and networking: A survey,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.935833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74f1a306-95b2-4d1f-a25c-73168a11fc8c · outbound

This paper cites Channel estimators for full-duplex communication using orthogonal pilot sequences,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Channel estimators for full-duplex communication using orthogonal pilot sequences,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.928534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e340006-d808-4764-8b90-b6f47ba5f9f4 · outbound

This paper cites Maxi- mum likelihood localization method with MIMO-OFDM transmission,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Maxi- mum likelihood localization method with MIMO-OFDM transmission,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.921303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf205369-aa72-4442-a440-161d3ec6ec5e · outbound

This paper cites Review and perspective for distance-based clustering of vehicle trajectories,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Review and perspective for distance-based clustering of vehicle trajectories,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.914299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e41c04c-75a3-4efe-a88f-7a0f5403f964 · outbound

This paper cites Deep reinforcement learning: A brief survey,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Deep reinforcement learning: A brief survey,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:43.681053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed635e9f-3c77-4f33-8353-ef7b50bd2bc8 · outbound

This paper cites Deep reinforcement learning based resource allocation for network slicing with massive mimo,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Deep reinforcement learning based resource allocation for network slicing with massive mimo,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.902420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3057e3f4-b348-4eaf-81e1-427b9049dbbd · outbound

This paper cites Quantifying generalization in reinforcement learning,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Quantifying generalization in reinforcement learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.894393Z

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Observation 484e9896-9236-4d7f-a670-2eea3622cefb · outbound

This paper cites Stochastic geometry modeling and analysis of single- and multi-cluster wireless networks,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Stochastic geometry modeling and analysis of single- and multi-cluster wireless networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.886985Z

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Observation fa6c8536-e7eb-464f-ae30-db278cdcd956 · outbound

This paper cites Study on 3D channel model for LTE,.

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning Study on 3D channel model for LTE,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:55:43.879987Z

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Pith citing papers

Observation 17589c2a-b49a-47a2-8a9b-bcad0539fd77 · inbound

An Efficient Model-Driven Groupwise Approach for Atlas Construction cites this paper.

An Efficient Model-Driven Groupwise Approach for Atlas Construction Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:15:27.241185Z

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