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Paper Citation Record · LEDGER

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.23487.

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pith.paper-citation-record.v1
2607.23487 v1

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measured 27 of 27 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-30T21:22:57.645635Z

measured 27 of 27 standing notices

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

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27 of 27 outbound references displayed

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Outbound references

Observation 6459743c-5760-40d6-aa4b-2386200a2333 · outbound

This paper cites Electromagnetic information theory for holo- graphic MIMO communications,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Electromagnetic information theory for holo- graphic MIMO communications,

Reference 1

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Observation 383d28b4-a9d5-46c7-9441-fd0b44192c55 · outbound

This paper cites Wavenumber-domain signal processing for holographic MIMO: Foundations, methods, and future direc- tions,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Wavenumber-domain signal processing for holographic MIMO: Foundations, methods, and future direc- tions,

Reference 2

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Observation b00d7c4e-98e0-4ad3-9bc7-8de703f11176 · outbound

This paper cites Towards 6G MIMO: Massive Spatial Multiplexing, Dense Arrays, and Interplay Between Electromagnetics and Processing.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Towards 6G MIMO: Massive Spatial Multiplexing, Dense Arrays, and Interplay Between Electromagnetics and Processing

Reference 3

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Observation 955f0c22-f329-4aee-a50a-1f6d7a85d7ba · outbound

This paper cites Spatially-stationary model for holographic MIMO small-scale fading,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Spatially-stationary model for holographic MIMO small-scale fading,

Reference 4

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Observation 83093fa8-5fc8-4ecb-b2dc-71b31af8a0e2 · outbound

This paper cites A spectrally convergent discretization of holographic MIMO channels,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling A spectrally convergent discretization of holographic MIMO channels,

Reference 5

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Observation b844ddcb-bb03-4e4a-a799-dd9b9ef38cd1 · outbound

This paper cites Fourier plane-wave series expansion for holo- graphic MIMO communications,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Fourier plane-wave series expansion for holo- graphic MIMO communications,

Reference 6

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Observation 2a1b20fa-3536-49de-816f-3983788de6cb · outbound

This paper cites Eigenvalue distribution of time and frequency limiting,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Eigenvalue distribution of time and frequency limiting,

Reference 7

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Observation e5266cac-43f4-4196-9218-c7f3bb0673b2 · outbound

This paper cites Widom, On a Class of Integral Operators with Discontinuous Symbol.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Widom, On a Class of Integral Operators with Discontinuous Symbol

Reference 8

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Observation 6094b0d8-b585-4266-a7f1-09453c0104de · outbound

This paper cites Entanglement entropy of fermions in any dimension and the widom conjecture,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Entanglement entropy of fermions in any dimension and the widom conjecture,

Reference 9

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Observation 91c1ba63-6814-4e83-8a1b-0e4cbbc94511 · outbound

This paper cites an unresolved cited work.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Unresolved cited work

Reference 10

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Observation da56cf78-1b35-4f8c-b68c-e00b720b8e57 · outbound

This paper cites Wiener–hopf operators in higher dimensions: The widom conjecture for piece-wise smooth domains,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Wiener–hopf operators in higher dimensions: The widom conjecture for piece-wise smooth domains,

Reference 11

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Observation a9a90aa9-72cd-47be-876e-3284e99aa485 · outbound

This paper cites Functions of self-adjoint operators in ideals of com- pact operators,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Functions of self-adjoint operators in ideals of com- pact operators,

Reference 12

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Observation 21d31fcf-bd4c-4e0c-a4be-0eff9194ae66 · outbound

This paper cites Hildebrand, Advanced Calculus for Applications.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Hildebrand, Advanced Calculus for Applications

Reference 13

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Observation e9f73f6c-8ef4-4315-98ed-e771958edbb3 · outbound

This paper cites Riesz et al., Functional Analysis.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Riesz et al., Functional Analysis

Reference 14

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Observation 83fbb938-e575-403b-9f8f-0be007337f62 · outbound

This paper cites Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nystr\"om Method, and Use of Kernels in Machine Learning: Tutorial and Survey.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nystr\"om Method, and Use of Kernels in Machine Learning: Tutorial and Survey

Reference 15

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Observation d7385543-9132-433a-87eb-3b941bc2f934 · outbound

This paper cites Prolate spheroidal wave functions, fourier analysis and uncertainty — I,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Prolate spheroidal wave functions, fourier analysis and uncertainty — I,

Reference 16

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Observation e3725270-7c1b-4e89-95da-988d7398441f · outbound

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Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Unresolved cited work

Reference 17

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Observation 0cfeda66-9982-474c-bee3-f7ce62314629 · outbound

This paper cites On Bernstein’s inequality for entire functions of exponential type,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling On Bernstein’s inequality for entire functions of exponential type,

Reference 18

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Observation a3c6cab2-083e-4832-810c-27c4a310904d · outbound

This paper cites Degrees of freedom in multiple-antenna chan- nels: a signal space approach,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Degrees of freedom in multiple-antenna chan- nels: a signal space approach,

Reference 19

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Observation cec18260-7c20-407f-af2a-e878a0425100 · outbound

This paper cites An iteration method for the solution of the eigenvalue problem of linear differential and integral operators,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling An iteration method for the solution of the eigenvalue problem of linear differential and integral operators,

Reference 20

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Observation ed92fcf0-1ca1-4370-98e0-fb04ef681e8e · outbound

This paper cites Spatial characterization of electromagnetic random channels,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Spatial characterization of electromagnetic random channels,

Reference 21

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Observation 0a3444f7-0543-4b1a-86ad-78425334ef12 · outbound

This paper cites Electromagnetic-compliant channel modeling and performance evaluation for holographic MIMO,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Electromagnetic-compliant channel modeling and performance evaluation for holographic MIMO,

Reference 22

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Observation 6d9eb58f-a1d8-45d9-9fcc-8945f95f5c73 · outbound

This paper cites How to differentiate between near field and far field: Revisiting the Rayleigh distance,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling How to differentiate between near field and far field: Revisiting the Rayleigh distance,

Reference 23

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Observation ae4e5cea-af99-4ccd-bf06-aa8182fb9165 · outbound

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Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Unresolved cited work

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Observation b227f848-bafe-4565-8196-062f42333f60 · outbound

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Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Unresolved cited work

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Observation 65916779-d2ed-40b5-a1d4-5afa321dcffb · outbound

This paper cites A remark on Stirling’s formula,.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling A remark on Stirling’s formula,

Reference 26

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Observation 5a28a51f-bd45-49b3-9f24-59ab93a36084 · outbound

This paper cites Rudin, Real and Complex Analysis.

Computational and Effective Degrees of Freedom for Spatially Stationary HMIMO Channel Modeling Rudin, Real and Complex Analysis

Reference 27

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