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Paper Citation Record · LEDGER

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model

As of 5 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2606.24727.

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

pith.paper-citation-record.v1
2606.24727 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T22:22:05.995658Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

21 of 21 outbound references displayed

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External citation measurements

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Outbound references

Observation 9a27698b-21a2-40d0-adfd-fe02f8bbcf3f · outbound

This paper cites Layered space-time architecture for wi reless communi- cation in a fading environment when using multi-element ant ennas,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Layered space-time architecture for wi reless communi- cation in a fading environment when using multi-element ant ennas,

Reference 1

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Observation 8f6b032c-23c7-4cc8-8603-404922da4451 · outbound

This paper cites Linear transmit processing in mimo communications systems,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Linear transmit processing in mimo communications systems,

Reference 2

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Observation 8c494809-7e8b-47d0-a889-b55e39e93d0e · outbound

This paper cites Energy and sp ectral efficiency of very large multiuser mimo systems,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Energy and sp ectral efficiency of very large multiuser mimo systems,

Reference 3

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Observation 798825e4-9b7c-4406-90be-84948bd37112 · outbound

This paper cites Channel estimation and prediction for 5g applications,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Channel estimation and prediction for 5g applications,

Reference 4

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Observation 40c4481d-7733-4b84-bbb7-46b81979e0f9 · outbound

This paper cites Massive mimo networks: Spectral, energy, and hardware efficiency,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Massive mimo networks: Spectral, energy, and hardware efficiency,

Reference 5

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Observation 922937e5-2513-4c91-9741-74f9e31fbab5 · outbound

This paper cites Ch annel estimation for massive mimo using gaussian-mixture bayesi an learning,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Ch annel estimation for massive mimo using gaussian-mixture bayesi an learning,

Reference 6

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Observation bdb278a1-dcdc-455f-b5f0-9faf030a0098 · outbound

This paper cites A new approach to linear filtering and predi ction problems,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model A new approach to linear filtering and predi ction problems,

Reference 7

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Observation bf958431-084a-43f1-8d21-e422f6087402 · outbound

This paper cites Available: https://doi.org/10.1115/1.3 662552.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Available: https://doi.org/10.1115/1.3 662552

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6f82bb6e-6217-4195-950f-c9ea0499b144 · outbound

This paper cites Adaptive filter theory,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Adaptive filter theory,

Reference 9

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Observation bf1b125e-abfc-421a-9575-1a4877dbef65 · outbound

This paper cites an unresolved cited work.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Unresolved cited work

Reference 10

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Observation 072befb2-4437-4583-97d6-78635b566d54 · outbound

This paper cites Message-pas sing algo- rithms for compressed sensing,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Message-pas sing algo- rithms for compressed sensing,

Reference 11

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Observation fb63ac72-4016-4fba-8f55-76bcf9c0d60e · outbound

This paper cites An appr oximate message passing framework for side information,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model An appr oximate message passing framework for side information,

Reference 12

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Observation 8da28ba3-e8b4-4fbb-a493-9e0acf021e8f · outbound

This paper cites State evolution for gen eral approximate message passing algorithms, with applications to spatial c oupling,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model State evolution for gen eral approximate message passing algorithms, with applications to spatial c oupling,

Reference 13

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Observation 9237520b-b340-4dee-8d5c-d982c6a1bd8e · outbound

This paper cites Compressive sensing- based adaptive active user detection and channel estimatio n: Massive access meets massive mimo,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Compressive sensing- based adaptive active user detection and channel estimatio n: Massive access meets massive mimo,

Reference 14

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Observation e312f1cd-4d2e-4d10-bbd8-61d11799b5dd · outbound

This paper cites Expectation-maximization gaussian-mixture approximate message passing,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Expectation-maximization gaussian-mixture approximate message passing,

Reference 15

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Observation f3b9f6f1-edbb-46b6-aab7-5fba609795af · outbound

This paper cites V ector appr oximate message passing,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model V ector appr oximate message passing,

Reference 16

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Observation e3d8fabb-bfed-4586-94b2-0546677e516d · outbound

This paper cites an unresolved cited work.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Unresolved cited work

Reference 17

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Observation ff211f83-f6e0-4362-8a7b-aa304d7cab82 · outbound

This paper cites Deconstructing multiantenna fading cha nnels,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Deconstructing multiantenna fading cha nnels,

Reference 18

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Observation 2a453c18-9bb2-4bc6-97f1-912ff82f3b05 · outbound

This paper cites Sparse bayesian learning and the releva nce vector machine,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Sparse bayesian learning and the releva nce vector machine,

Reference 19

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Observation 2ebe16e4-a4e7-4c26-8a68-50b14cf0df62 · outbound

This paper cites Learning and free energ ies for vector approximate message passing,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Learning and free energ ies for vector approximate message passing,

Reference 20

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Observation 82aa950c-4f36-49da-9410-f40c573e6dc8 · outbound

This paper cites Parameter estimation f or linear dynamical systems,.

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model Parameter estimation f or linear dynamical systems,

Reference 21

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Pith citing papers

No inbound Pith citation observations are available.