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Paper Citation Record · LEDGER

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes

As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.12878.

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

pith.paper-citation-record.v1
2507.12878 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:42:37.189545Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

30 of 30 outbound references displayed

  • verified exact8
  • verified fuzzy1
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7c017a9-b9d4-4cc3-845e-0c2fac6edd13 · outbound

This paper cites TensorFlow Distributions.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes TensorFlow Distributions

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 24f9d48d-e8a3-4767-8316-40444679988d · outbound

This paper cites IEEE Computational Intelligence Magazine 17, 29–48.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes IEEE Computational Intelligence Magazine 17, 29–48

Reference 13

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Observation 5110ac39-a0df-452e-8070-172a82352b50 · outbound

This paper cites System Identification via Meta-Learning in Linear Time-Varying Environments.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes System Identification via Meta-Learning in Linear Time-Varying Environments

Reference 17

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Observation 6e2972e6-11ea-40bb-aa1c-8ba1e9f1d0e0 · outbound

This paper cites 2nd ed., Springer.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes 2nd ed., Springer

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d6b5f2fe-5e38-4d73-a49e-aae0b54138ab · outbound

This paper cites Electric Power Systems Research 235, 110860.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Electric Power Systems Research 235, 110860

Reference 24

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Observation 0aa1c2a9-b7ee-41b8-b4f7-ec55c11e14d2 · outbound

This paper cites Forensic Science 17 International: Genetics 65, 102890.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Forensic Science 17 International: Genetics 65, 102890

Reference 25

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Observation fb33a5cc-b0fe-4214-94a8-9539711ce98c · outbound

This paper cites TensorFlow Probability API documentation, accessed 2026-03-21.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes TensorFlow Probability API documentation, accessed 2026-03-21

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6f10a241-3983-423c-8d64-505e5bc243b5 · outbound

This paper cites Systems & Control Letters 54, 325–329.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Systems & Control Letters 54, 325–329

Reference 27

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Observation 293b4ba1-8fa5-4caa-b158-de5ca45a6f07 · outbound

This paper cites IEEE Transac- tions on Wireless Communications 4, 1575–1584.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes IEEE Transac- tions on Wireless Communications 4, 1575–1584

Reference 28

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Observation 79fc7d0e-cf21-432c-9aba-3ba40ef1a228 · outbound

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Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Unresolved cited work

Reference 29

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Observation b2c9f5cb-b2ed-4816-b27e-4f72c314baf1 · outbound

This paper cites Earth- quakes.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Earth- quakes

Reference 30

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Observation 594870e8-a29c-4e96-9bdd-e0f17e72f65a · outbound

This paper cites Bulletin of the Earthquake Research Institute, University of Tokyo 35, 415–456.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Bulletin of the Earthquake Research Institute, University of Tokyo 35, 415–456

Reference 1957

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Observation 00a2d854-9dee-4655-b3de-57051bac1837 · outbound

This paper cites IRE Transactions on Information Theory 8, 229–236.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes IRE Transactions on Information Theory 8, 229–236

Reference 1962

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Observation 1620207e-b570-49c0-a66a-01a379f99831 · outbound

This paper cites IRE Transactions on Communications Systems 11, 360–393.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes IRE Transactions on Communications Systems 11, 360–393

Reference 1963

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Observation 322b559d-bb4e-4431-86ca-28847f3b09f6 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Methodological) 27, 204–237.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Journal of the Royal Statistical Society: Series B (Methodological) 27, 204–237

Reference 1965

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Observation 469a1ed8-ce63-45d1-8bc2-76ffae7644a8 · outbound

This paper cites IEEE Transactions on Neural Networks 1, 4–27.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes IEEE Transactions on Neural Networks 1, 4–27

Reference 1990

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Observation c151944b-d312-49f9-a492-9e26c078e3a9 · outbound

This paper cites The Annals of Statistics 25, 1–37.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes The Annals of Statistics 25, 1–37

Reference 1997

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Observation 3cbdd479-c4a4-4208-b2e8-3447a231e596 · outbound

This paper cites Physical Review E 69, 046610.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Physical Review E 69, 046610

Reference 2004

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Observation 23ccccdd-4026-41fb-b451-8ed1bcb23b3d · outbound

This paper cites Springer, pp.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Springer, pp

Reference 2005

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2cc8a8bd-bcbd-4bf5-b90f-3f61e2c10fca · outbound

This paper cites Bulletin of the Seismological Society of America 96, 1182–1191.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Bulletin of the Seismological Society of America 96, 1182–1191

Reference 2006

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d9cac5c7-6973-4e21-8256-ad4ef9f1c4df · outbound

This paper cites Spectral functions and dynamic critical behavior of relativistic $Z_2$ theories.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Spectral functions and dynamic critical behavior of relativistic $Z_2$ theories

Reference 2007

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Observation ce5d44ab-5ddf-4721-9763-62d25d1acfa7 · outbound

This paper cites Geophysical Research Letters 36, L18301.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Geophysical Research Letters 36, L18301

Reference 2009

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Observation a4a88c5c-2d21-4206-a3f3-bf6dc2b6ea3a · outbound

This paper cites Auto-Encoding Variational Bayes.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Auto-Encoding Variational Bayes

Reference 2013

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Observation 5b305a8c-d846-497d-875d-0d18608f84f9 · outbound

This paper cites 2568–2572.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes 2568–2572

Reference 2015

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Observation d9f0aee4-3f78-4470-840e-52af6248952e · outbound

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Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Unresolved cited work

Reference 2017

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 00a9bac9-bb33-4de1-aa90-7f636d0bb52f · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica 6, 1293–1305.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes IEEE/CAA Journal of Automatica Sinica 6, 1293–1305

Reference 2019

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This paper cites IFAC-PapersOnLine 53, 1001–1006.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes IFAC-PapersOnLine 53, 1001–1006

Reference 2020

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This paper cites Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, 20210201.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, 20210201

Reference 2022

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This paper cites Proceedings of the National Academy of Sciences of the United States of America 120, e2218197120.

Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Proceedings of the National Academy of Sciences of the United States of America 120, e2218197120

Reference 2023

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Observation c38b1d22-e16e-46de-8811-1efa3a344762 · outbound

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Bayesian Modeling and Estimation of Linear Time-Varying Systems using Neural Networks and Gaussian Processes Unresolved cited work

Reference 2024

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.