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Paper Citation Record · LEDGER

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming

As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2603.16053.

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

pith.paper-citation-record.v1
2603.16053 v2

Coverage vector

measured 43 of 43 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T20:26:38.348746Z

measured 43 of 43 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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43 of 43 outbound references displayed

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Outbound references

Observation a8c851c6-4fb3-4fb3-9bc8-0180f5951a4e · outbound

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

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Massive MIMO for next generation wireless systems,

Reference 1

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Observation 53593b09-ea55-4798-b61e-40f7bab57a8d · outbound

This paper cites Massive MIMO: ten myths and one critical question,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Massive MIMO: ten myths and one critical question,

Reference 2

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Observation cd3dffe5-98e9-45bc-8039-919bd1be43de · outbound

This paper cites Holographic MIMO surfaces for 6G wireless networks: Opportunities, challenges, and trends,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Holographic MIMO surfaces for 6G wireless networks: Opportunities, challenges, and trends,

Reference 3

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Observation 98d9242e-a117-4cc6-9d5b-60e551d4c94a · outbound

This paper cites Holographic MIMO: How many antennas do we need for energy efficient communi- cation?.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Holographic MIMO: How many antennas do we need for energy efficient communi- cation?

Reference 4

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Observation 0fe99f44-e0aa-4cf4-b2a2-611e00d8c2af · outbound

This paper cites Learning-based Multiuser Beamforming for Holographic MIMO~Systems.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Learning-based Multiuser Beamforming for Holographic MIMO~Systems

Reference 5

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Observation e49836ff-5397-4133-9369-eb47d1ec054c · outbound

This paper cites Reconfigurable intelligent surfaces: Principles and opportunities,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Reconfigurable intelligent surfaces: Principles and opportunities,

Reference 6

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Observation 2791e7b4-dbb9-4ae7-a962-2e31066dccba · outbound

This paper cites Wireless communications through reconfigurable intelligent surfaces,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Wireless communications through reconfigurable intelligent surfaces,

Reference 7

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Observation c23c5998-aa77-4b58-8777-a81983b1197f · outbound

This paper cites Continuous-aperture ar- ray (CAPA)-based wireless communications: Capacity characterization,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Continuous-aperture ar- ray (CAPA)-based wireless communications: Capacity characterization,

Reference 8

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Observation 071c513e-356d-4e18-b1cb-e5b699e22e96 · outbound

This paper cites Wavenumber-division multiplexing in line-of-sight holographic MIMO communications,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Wavenumber-division multiplexing in line-of-sight holographic MIMO communications,

Reference 9

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Observation bff8b5e8-dccc-43d5-add7-c6ccb9e2fe50 · outbound

This paper cites On the spectral efficiency of multi-user holographic MIMO uplink transmission,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming On the spectral efficiency of multi-user holographic MIMO uplink transmission,

Reference 10

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Observation eef5a414-984a-4fa3-8cfd-b6d04d9553ee · outbound

This paper cites Pattern-division multiplexing for multi-user continuous-aperture MIMO,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Pattern-division multiplexing for multi-user continuous-aperture MIMO,

Reference 11

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Observation 97236acc-4c2b-4c2c-9c56-e555d89035fb · outbound

This paper cites Beamforming optimization for continuous aperture array (CAPA)-based communications,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Beamforming optimization for continuous aperture array (CAPA)-based communications,

Reference 12

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Observation 42bf6088-ee8c-4e01-9055-7d2cba656e0c · outbound

This paper cites Optimal beamforming for multi-user continuous aperture array (CAPA) systems,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Optimal beamforming for multi-user continuous aperture array (CAPA) systems,

Reference 13

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Observation 39dc8c89-24f8-46b0-9dbd-254922d02046 · outbound

This paper cites CAPA: Continuous-Aperture Arrays for Revolutionizing 6G Wireless Communications.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming CAPA: Continuous-Aperture Arrays for Revolutionizing 6G Wireless Communications

Reference 14

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Observation 32b25779-4ebd-439d-96aa-062e002748fc · outbound

This paper cites Continuous aper- ture array (CAPA)-based multi-group multicast communications,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Continuous aper- ture array (CAPA)-based multi-group multicast communications,

Reference 15

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Observation 8729d201-962b-4745-b96a-a88f2103a98b · outbound

This paper cites Beamforming Design for Continuous Aperture Array (CAPA)-Based MIMO Systems.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Beamforming Design for Continuous Aperture Array (CAPA)-Based MIMO Systems

Reference 16

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Observation b86ae01e-867b-47f5-b67f-48cfffbdf493 · outbound

This paper cites Multi-user continuous-aperture array communications: How to learn current distribution?.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Multi-user continuous-aperture array communications: How to learn current distribution?

Reference 17

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Observation b99c71e9-e515-4f9c-bc79-a593e7ce1a5a · outbound

This paper cites Implicit neural representation of beamforming for continuous aperture array systems,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Implicit neural representation of beamforming for continuous aperture array systems,

Reference 18

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Observation 5a6100f3-1184-45dd-8358-d081835d55b4 · outbound

This paper cites Optimal wireless resource allocation with random edge graph neural networks,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Optimal wireless resource allocation with random edge graph neural networks,

Reference 19

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Observation 592a6a95-9dbc-478f-b34e-b869c8eb9883 · outbound

This paper cites Learning power allocation for multi-cell-multi- user systems with heterogeneous graph neural networks,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Learning power allocation for multi-cell-multi- user systems with heterogeneous graph neural networks,

Reference 20

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Observation 66dd1879-7de4-4857-9ce7-d309ca40cff2 · outbound

This paper cites Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis,

Reference 21

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Observation d7b5c426-6b52-44ce-a77a-2bef1cf48dcc · outbound

This paper cites Graph embedding-based wireless link scheduling with few training samples,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Graph embedding-based wireless link scheduling with few training samples,

Reference 22

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Observation d68bec61-0427-4e02-85f0-be2cb6c4e48d · outbound

This paper cites Learning based user scheduling in reconfigurable intelligent surface assisted multiuser downlink,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Learning based user scheduling in reconfigurable intelligent surface assisted multiuser downlink,

Reference 23

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Observation be5df11f-706e-4e37-a5ad-72fe16e4b177 · outbound

This paper cites Understanding the performance of learn- ing precoding policies with graph and convolutional neural networks,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Understanding the performance of learn- ing precoding policies with graph and convolutional neural networks,

Reference 24

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Observation a493f035-c2ec-474d-9c2e-7997e59f11a5 · outbound

This paper cites Joint user scheduling and beamforming design for multiuser MISO downlink systems,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Joint user scheduling and beamforming design for multiuser MISO downlink systems,

Reference 25

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Observation 8c7cf044-df24-44a9-aad2-19624df6dfb2 · outbound

This paper cites A model-based GNN for learning precoding,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming A model-based GNN for learning precoding,

Reference 26

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Observation 06388dc3-79dc-4edc-8517-3bbe417817ba · outbound

This paper cites Gradient-driven graph neural networks for learning digital and hybrid precoder,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Gradient-driven graph neural networks for learning digital and hybrid precoder,

Reference 27

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Observation 2c1bdc61-bb3b-40d8-95f7-90ab3e5d8ed7 · outbound

This paper cites Iterative algorithm induced deep-unfolding neural networks: Precoding design for multiuser MIMO systems,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Iterative algorithm induced deep-unfolding neural networks: Precoding design for multiuser MIMO systems,

Reference 28

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Observation 670d9296-4b48-4ba6-afb2-b41d350e8b2a · outbound

This paper cites Deep graph unfolding for beamforming in MU-MIMO interference networks,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Deep graph unfolding for beamforming in MU-MIMO interference networks,

Reference 29

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Observation c452d215-1546-4532-b5ee-aac0536357f9 · outbound

This paper cites Learn to rapidly and robustly optimize hybrid precoding,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Learn to rapidly and robustly optimize hybrid precoding,

Reference 30

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Observation 0da84ae1-5fb8-4faf-b4e0-98918b1f1aa9 · outbound

This paper cites Transfer learning and meta learning-based fast downlink beamforming adapta- tion,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Transfer learning and meta learning-based fast downlink beamforming adapta- tion,

Reference 31

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Observation b9d723cf-ca2c-4ca8-a454-9b14f461243a · outbound

This paper cites A bipartite graph neural network approach for scalable beamforming optimization,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming A bipartite graph neural network approach for scalable beamforming optimization,

Reference 32

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Observation dfcb86ce-dfb7-41cf-899c-4079ea5babd8 · outbound

This paper cites Gradient-based information aggregation of GNN for precoder learning,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Gradient-based information aggregation of GNN for precoder learning,

Reference 33

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Observation 88bc0841-b85a-40bc-9403-21da3bf4bce8 · outbound

This paper cites Functional WMMSE algorithm for multiuser continuous aperture array systems,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Functional WMMSE algorithm for multiuser continuous aperture array systems,

Reference 34

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Observation 15455798-97f4-4fb3-bd45-17f6ff1d7371 · outbound

This paper cites Parametric channel estimation for LoS dominated holographic massive MIMO systems,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Parametric channel estimation for LoS dominated holographic massive MIMO systems,

Reference 35

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Observation 33ccd388-3587-4dd0-b50b-1231ddb6bf4c · outbound

This paper cites Fourier plane wave series expansion for holographic MIMO communications,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Fourier plane wave series expansion for holographic MIMO communications,

Reference 36

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Observation 41dc5bc5-42bd-4097-bef8-9d859731b9dd · outbound

This paper cites an unresolved cited work.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Unresolved cited work

Reference 37

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Observation d8441bab-9bfe-4681-9055-ddb14d22637b · outbound

This paper cites Learning resource allocation policy: Vertex-GNN or edge-GNN?.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Learning resource allocation policy: Vertex-GNN or edge-GNN?

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Observation aa812169-94c8-4e5d-8a7c-4691c22b2649 · outbound

This paper cites Recursive gnns for learning precoding policies with size-generalizability,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Recursive gnns for learning precoding policies with size-generalizability,

Reference 39

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Observation 893ad742-c805-4494-b5bd-71b49626cb6b · outbound

This paper cites an unresolved cited work.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Unresolved cited work

Reference 40

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Observation 6d21dc33-53dc-4c34-9d83-a85fcf3dacf5 · outbound

This paper cites Practical hash-based owen scrambling,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Practical hash-based owen scrambling,

Reference 41

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Observation beff320e-c62f-4de5-91ba-aad34c848e28 · outbound

This paper cites Enabling 6G performance in the upper mid-band by transitioning from massive to gigantic MIMO,.

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming Enabling 6G performance in the upper mid-band by transitioning from massive to gigantic MIMO,

Reference 42

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Observation 5b6a4e46-03b1-4d5e-9859-5fc571646914 · outbound

This paper cites an unresolved cited work.

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Reference 43

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