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Paper Citation Record · LEDGER

Multi-view imaging in networked sensing systems: A covariance-based approach

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2511.14490.

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pith.paper-citation-record.v1
2511.14490 v2

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measured 35 of 35 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T01:32:38.388281Z

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

Source: arxiv_reference, observed 2026-05-11T13:31:05.142027Z

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Outbound references

Observation 9d7863bd-e979-4c41-a223-ae2a2a8a67c7 · outbound

This paper cites Integrated sensing and communications: Toward dual-func tional wire- less networks for 6G and beyond,.

Multi-view imaging in networked sensing systems: A covariance-based approach Integrated sensing and communications: Toward dual-func tional wire- less networks for 6G and beyond,

Reference 1

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Observation 8baee2b3-e744-4fd9-9946-44707b2f3b27 · outbound

This paper cites Leveraging a variety of anch ors in cellular network for ubiquitous sensing,.

Multi-view imaging in networked sensing systems: A covariance-based approach Leveraging a variety of anch ors in cellular network for ubiquitous sensing,

Reference 2

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Observation 064b04f1-475d-4705-8df6-591ecf1c617c · outbound

This paper cites Joint transmission and comp ression optimization for networked sensing with limited-capacity fronthaul links,.

Multi-view imaging in networked sensing systems: A covariance-based approach Joint transmission and comp ression optimization for networked sensing with limited-capacity fronthaul links,

Reference 3

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Observation 775e2557-eecb-41bc-8ca1-cedf5acd3338 · outbound

This paper cites Spatial diversity in radars–Models and d etection performance,.

Multi-view imaging in networked sensing systems: A covariance-based approach Spatial diversity in radars–Models and d etection performance,

Reference 4

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This paper cites A direct imaging algorithm for extended targets,.

Multi-view imaging in networked sensing systems: A covariance-based approach A direct imaging algorithm for extended targets,

Reference 5

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Observation 6b304168-9369-4bb0-9b4f-54d2e50b7fa3 · outbound

This paper cites Distributed multi-sen sor fusion of PHD filters with different sensor fields of view,.

Multi-view imaging in networked sensing systems: A covariance-based approach Distributed multi-sen sor fusion of PHD filters with different sensor fields of view,

Reference 6

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Observation a1747d39-7e5f-4bf6-b346-68c0a0fee02c · outbound

This paper cites Distributed multi-view sparse vector recovery,.

Multi-view imaging in networked sensing systems: A covariance-based approach Distributed multi-view sparse vector recovery,

Reference 7

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This paper cites Multistatic parameter estimation in the near/far field for integrated sensing and communication,.

Multi-view imaging in networked sensing systems: A covariance-based approach Multistatic parameter estimation in the near/far field for integrated sensing and communication,

Reference 8

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This paper cites Synthetic -aperture radar processing using fast factorized back-projection,.

Multi-view imaging in networked sensing systems: A covariance-based approach Synthetic -aperture radar processing using fast factorized back-projection,

Reference 9

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This paper cites Two dimensional array imaging with beam steered data,.

Multi-view imaging in networked sensing systems: A covariance-based approach Two dimensional array imaging with beam steered data,

Reference 10

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This paper cites Fourie r transform- based wavenumber domain 3D imaging in RIS-aided communicat ion systems,.

Multi-view imaging in networked sensing systems: A covariance-based approach Fourie r transform- based wavenumber domain 3D imaging in RIS-aided communicat ion systems,

Reference 11

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This paper cites Join t multi- user communication and sensing exploiting both signal and e nvironment sparsity,.

Multi-view imaging in networked sensing systems: A covariance-based approach Join t multi- user communication and sensing exploiting both signal and e nvironment sparsity,

Reference 12

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This paper cites L(1/2) regularization for ISAR imaging and target enhancement of complex image,.

Multi-view imaging in networked sensing systems: A covariance-based approach L(1/2) regularization for ISAR imaging and target enhancement of complex image,

Reference 13

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Multi-view imaging in networked sensing systems: A covariance-based approach Total variat ion compressive sensing for 3D shape estimation in short-range imaging rada rs,

Reference 14

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Multi-view imaging in networked sensing systems: A covariance-based approach Near-Field Integrated Imaging and Communication in Distributed MIMO Networks

Reference 15

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Multi-view imaging in networked sensing systems: A covariance-based approach On spatial smoothin g for direction- of-arrival estimation of coherent signals,

Reference 16

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Observation aeace319-803f-4008-b152-6a817a20be89 · outbound

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Multi-view imaging in networked sensing systems: A covariance-based approach Device-free sensin g in OFDM cellular network,

Reference 17

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Multi-view imaging in networked sensing systems: A covariance-based approach Joint LOS identification and data asso ciation for 6G- enabled networked device-free sensing,

Reference 18

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Multi-view imaging in networked sensing systems: A covariance-based approach Integrated massive communication and trget localization in 6G cell- free networks,

Reference 19

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Multi-view imaging in networked sensing systems: A covariance-based approach Wavefield networ ked sens- ing: Principles, algorithms and applications,

Reference 20

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This paper cites Cooperative coh erent multi- static imaging and phase synchronization in networked sens ing,.

Multi-view imaging in networked sensing systems: A covariance-based approach Cooperative coh erent multi- static imaging and phase synchronization in networked sens ing,

Reference 21

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Multi-view imaging in networked sensing systems: A covariance-based approach A 6G-based multi-view reco nstruction approach,

Reference 22

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Observation f551a5a3-ea3e-4c93-a39f-c7c27bb86b7c · outbound

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Multi-view imaging in networked sensing systems: A covariance-based approach Sampling and reco nstructing angular domains with uniform arrays,

Reference 23

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Multi-view imaging in networked sensing systems: A covariance-based approach Radio tomographic imaging with reconfigurable intelligent surfa ces,

Reference 24

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Multi-view imaging in networked sensing systems: A covariance-based approach Unresolved cited work

Reference 25

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Multi-view imaging in networked sensing systems: A covariance-based approach Skolnik, Introduction to Radar Systems

Reference 26

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This paper cites Adjustment of an inverse matrix corresponding to a change in one element of a given matrix,.

Multi-view imaging in networked sensing systems: A covariance-based approach Adjustment of an inverse matrix corresponding to a change in one element of a given matrix,

Reference 27

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Multi-view imaging in networked sensing systems: A covariance-based approach New edge-directed interpolati on,

Reference 28

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Multi-view imaging in networked sensing systems: A covariance-based approach Fan and I

Reference 29

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Multi-view imaging in networked sensing systems: A covariance-based approach Weickert, Anisotropic Diffusion in Image Processing

Reference 30

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Multi-view imaging in networked sensing systems: A covariance-based approach A brief description of natural neighbour in terpolation,

Reference 31

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Multi-view imaging in networked sensing systems: A covariance-based approach Kernel regressi on for image processing and reconstruction,

Reference 32

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Multi-view imaging in networked sensing systems: A covariance-based approach Fast gradient-based algorith ms for con- strained total variation image denoising and deblurring pr oblems,

Reference 33

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Multi-view imaging in networked sensing systems: A covariance-based approach An efficient augmen ted Lagrangian method with applications to total variation min imization,

Reference 34

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Multi-view imaging in networked sensing systems: A covariance-based approach Successive linea r approxima- tion VBI for joint sparse signal recovery and dynamic grid pa rameters estimation,

Reference 35

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Pith citing papers

Observation 0994d7ca-d06f-40e5-811f-3987e7ca0e19 · inbound

Networked Tracking of Multiple Moving Targets in 6G Network cites this paper.

Networked Tracking of Multiple Moving Targets in 6G Network Multi-view imaging in networked sensing systems: A covariance-based approach

Reference 15

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