Paper Citation Record · LEDGER

GNet: A scalable and flexible Gaussian process network with nonparametric neurons

As of 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.10735.

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

pith.paper-citation-record.v1
2607.10735 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:15:29.736720Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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Outbound references

Observation 10cf294f-b7c0-4f0b-bc66-b34ec503a601 · outbound

This paper cites Learning Activation Functions to Improve Deep Neural Networks.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Learning Activation Functions to Improve Deep Neural Networks

Reference 1

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Observation 0f52f488-7c43-4091-8efb-8a55a4c7bc47 · outbound

This paper cites CRC Press, 2014.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons CRC Press, 2014

Reference 2

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Observation 478ad725-fc32-4726-9e78-29c88d4b0cf2 · outbound

This paper cites Automatic differentiation in machine learning: a survey.Journal of Machine Learning Research, 18(153):1–43, 2018.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Automatic differentiation in machine learning: a survey.Journal of Machine Learning Research, 18(153):1–43, 2018

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:25.205764Z

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Observation ff2a1114-1705-443b-8c37-8a1a13d97466 · outbound

This paper cites Pope, and Michael Marcolini.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Pope, and Michael Marcolini

Reference 4

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Observation 4b50157e-d90e-42cd-9390-f993e4868bcb · outbound

This paper cites Deep Gaussian processes.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Deep Gaussian processes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:25.431047Z

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Observation b9659a53-9b34-4d94-a9e6-b070420395c4 · outbound

This paper cites Hierarchical nearest- neighbor Gaussian process models for large geostatistical datasets.Journal of the American Statistical Association, 111(514):800–812, 2016.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Hierarchical nearest- neighbor Gaussian process models for large geostatistical datasets.Journal of the American Statistical Association, 111(514):800–812, 2016

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:25.544210Z

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Observation dcc22116-2df9-475a-b2a3-ccd59d98da06 · outbound

This paper cites Generalized Latin hypercube design for computer ex- periments.Technometrics, 52(4), 2010.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Generalized Latin hypercube design for computer ex- periments.Technometrics, 52(4), 2010

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:25.651296Z

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Observation 51fe77ad-b4a1-4d75-aa35-c84ea591db3d · outbound

This paper cites OUP Oxford, 2012.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons OUP Oxford, 2012

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:25.792229Z

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Observation ed6e9b56-d5bf-4841-93c4-e802a045a9c9 · outbound

This paper cites The inverse Kalman filter.Biometrika, 112(4):asaf054, 2025.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons The inverse Kalman filter.Biometrika, 112(4):asaf054, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:25.924229Z

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Observation d0efbf1e-5227-455b-abad-ebb7d90c92f8 · outbound

This paper cites Reliable emulation of complex functionals by active learning with error control.The Journal of Chemical Physics, 157(21), 2022.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Reliable emulation of complex functionals by active learning with error control.The Journal of Chemical Physics, 157(21), 2022

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:26.111155Z

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Observation dc0a0b6b-caf0-4995-9cc1-a53dbfae10f0 · outbound

This paper cites Chapman and Hall/CRC, 2020.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Chapman and Hall/CRC, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:26.294357Z

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Observation 85771744-48c6-47fc-b1e5-9ebd721517bf · outbound

This paper cites an unresolved cited work.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:26.553189Z

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Observation 8b689664-ccba-4e80-945d-2cdd66a8741c · outbound

This paper cites Robust Gaussian stochastic process emulation.Annals of Statistics, 46(6A):3038–3066, 2018.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Robust Gaussian stochastic process emulation.Annals of Statistics, 46(6A):3038–3066, 2018

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:26.726916Z

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Observation 47d0ccdf-62ce-4df9-905d-6710ffcb8b3f · outbound

This paper cites R package version 0.5.0.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons R package version 0.5.0

Reference 14

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Observation 4292629f-7a9e-49c7-8fd2-3ea098ea9927 · outbound

This paper cites A Bayesian analysis of kriging.Technometrics, 35(4):403–410, 1993.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons A Bayesian analysis of kriging.Technometrics, 35(4):403–410, 1993

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:27.126970Z

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Observation 7806a18f-d4b5-4845-9dbf-b5d63a7cfcfa · outbound

This paper cites Generalized additive models.Statistical Science, 1(3):297–310, 1986.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Generalized additive models.Statistical Science, 1(3):297–310, 1986

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:27.343399Z

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Observation c8c66720-fd5b-4bb8-bbc3-83cbeb684d3e · outbound

This paper cites R package version 1.5.1.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons R package version 1.5.1

Reference 17

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Observation d1084aa2-dc6c-431d-aece-9c052ad97d8e · outbound

This paper cites A general framework for Vecchia approximations of Gaussian processes.Statistical Science, 36(1):124–141, 2021.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons A general framework for Vecchia approximations of Gaussian processes.Statistical Science, 36(1):124–141, 2021

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:27.765557Z

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Observation 869659ea-90f7-4d5a-8f89-e8cd104a5782 · outbound

This paper cites Scaled Vecchia approximation for fast computer-model emulation.SIAM/ASA Journal on Uncertainty Quantification, 10(2):537– 554, 2022.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Scaled Vecchia approximation for fast computer-model emulation.SIAM/ASA Journal on Uncertainty Quantification, 10(2):537– 554, 2022

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:27.915921Z

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Observation c41cc82d-baa3-47ff-a38a-695a3595322a · outbound

This paper cites Covariance tapering for likelihood-based estimation in large spatial data sets.Journal of the American Statistical Association, 103(484):1545–1555, 2008.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Covariance tapering for likelihood-based estimation in large spatial data sets.Journal of the American Statistical Association, 103(484):1545–1555, 2008

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.002832Z

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Observation 114125c4-ff6a-42f1-953a-9c4349a20f2a · outbound

This paper cites The UCI machine learning reposi- tory.https://archive.ics.uci.edu, 2023.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons The UCI machine learning reposi- tory.https://archive.ics.uci.edu, 2023

Reference 21

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Observation 7fa0032d-de66-4f8f-802f-d7dc979a18a1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Adam: A Method for Stochastic Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.181502Z

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Observation 81dfbec0-e935-4afa-ad68-d1a5066cff13 · outbound

This paper cites An explicit link between Gaussian fields and Gaussian markov random fields: the stochastic partial differential equation approach.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons An explicit link between Gaussian fields and Gaussian markov random fields: the stochastic partial differential equation approach

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.248321Z

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Observation d47fd703-988d-4eaa-be3a-85b07e37f034 · outbound

This paper cites KAN: Kolmogorov–Arnold networks.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons KAN: Kolmogorov–Arnold networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.336936Z

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Observation e5226bb2-868d-4604-bfbd-1a49dbcec30d · outbound

This paper cites Neural network with optimal neuron activation func- tions based on additive Gaussian process regression.The Journal of Physical Chemistry A, 127(37):7823–7835, 2023.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Neural network with optimal neuron activation func- tions based on additive Gaussian process regression.The Journal of Physical Chemistry A, 127(37):7823–7835, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.418294Z

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Observation 14e19e17-a202-4010-bf8a-618000679c1d · outbound

This paper cites Bayesian design and analysis of computer experiments: use of derivatives in surface prediction.Technometrics, 35(3):243–255, 1993.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Bayesian design and analysis of computer experiments: use of derivatives in surface prediction.Technometrics, 35(3):243–255, 1993

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.530238Z

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Observation 387da204-de33-4b45-baf0-101975718a65 · outbound

This paper cites PhD thesis, University of Illinois at Urbana-Champaign, 1991.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons PhD thesis, University of Illinois at Urbana-Champaign, 1991

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.637662Z

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Observation 1e9e1564-2dd8-4f3b-b067-613ce2cbae2c · outbound

This paper cites Springer, 2009.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Springer, 2009

Reference 28

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Observation c4992add-8eb9-4f42-bf5c-40928553624f · outbound

This paper cites MIT Press, 2006.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons MIT Press, 2006

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.753492Z

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Observation 4ba3db94-cb1c-4f7b-b6ff-b43ccef14a33 · outbound

This paper cites DiceKriging, DiceOptim: Two R packages for the analysis of computer experiments by Kriging-based metamodeling and opti- mization.Journal of Statistical Software, 51(1):1–55, 2012.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons DiceKriging, DiceOptim: Two R packages for the analysis of computer experiments by Kriging-based metamodeling and opti- mization.Journal of Statistical Software, 51(1):1–55, 2012

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:28.867406Z

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Observation 5e3254a6-7dac-4f40-9ac7-f2dc4d6d6fd4 · outbound

This paper cites F ALKON: An optimal large scale kernel method.Advances in neural information processing systems, 30, 2017.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons F ALKON: An optimal large scale kernel method.Advances in neural information processing systems, 30, 2017

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.034273Z

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Observation c05aa282-2c7b-40ee-8436-aa292bb778bb · outbound

This paper cites All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates

Reference 32

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Observation f8fda3e2-972a-4604-a404-0699b429af6d · outbound

This paper cites Neural functional theory for inhomogeneous fluids: Fundamentals and applications.Proceedings of the National Academy of Sciences, 120(50):e2312484120, 2023.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Neural functional theory for inhomogeneous fluids: Fundamentals and applications.Proceedings of the National Academy of Sciences, 120(50):e2312484120, 2023

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.317802Z

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Observation 2a29f6ae-fbaa-40b2-94ca-a23256415da7 · outbound

This paper cites Vecchia-approximated deep Gaus- sian processes for computer experiments.Journal of Computational and Graphical Statistics, 32(3):824–837, 2023.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Vecchia-approximated deep Gaus- sian processes for computer experiments.Journal of Computational and Graphical Statistics, 32(3):824–837, 2023

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.433552Z

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Observation 1e031c15-9cb4-476f-a197-c4887b085341 · outbound

This paper cites Deep learning in neural networks: An overview.Neural networks, 61:85– 117, 2015.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Deep learning in neural networks: An overview.Neural networks, 61:85– 117, 2015

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.595668Z

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Observation 34869da7-52a3-4398-8df7-2ffd784a7dfd · outbound

This paper cites Accurate telemoni- toring of Parkinson’s disease progression by non-invasive speech tests.IEEE Transactions on Bio-medical Engineering, 57(4):884–893, 2009.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Accurate telemoni- toring of Parkinson’s disease progression by non-invasive speech tests.IEEE Transactions on Bio-medical Engineering, 57(4):884–893, 2009

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.706343Z

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Observation 27c10db3-93e4-474c-9cae-0f043f6731ed · outbound

This paper cites Accurate quantitative estimation of energy perfor- mance of residential buildings using statistical machine learning tools.Energy and buildings, 49:560–567, 2012.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Accurate quantitative estimation of energy perfor- mance of residential buildings using statistical machine learning tools.Energy and buildings, 49:560–567, 2012

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.709847Z

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Observation 5ad9259d-ab8b-4a28-abd4-5761a815eeac · outbound

This paper cites Gaussian Process Neurons Learn Stochastic Activation Functions.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Gaussian Process Neurons Learn Stochastic Activation Functions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.713407Z

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Observation 472ee2ad-2bf5-48db-b802-c3869cd64677 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.716815Z

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Observation a20370c8-2333-4170-ab62-a0b4c389b7ba · outbound

This paper cites Estimation and model identification for continuous spatial processes.Journal of the Royal Statistical Society Series B: Statistical Methodology, 50(2):297–312, 1988.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Estimation and model identification for continuous spatial processes.Journal of the Royal Statistical Society Series B: Statistical Methodology, 50(2):297–312, 1988

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.720135Z

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Observation f392f4df-a4f4-49b4-82b3-73a9125cdef8 · outbound

This paper cites West and P.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons West and P

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.723402Z

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Observation d2e261f2-452f-4d19-9574-24076744e8c3 · outbound

This paper cites Using the Nystr¨ om method to speed up kernel machines.Advances in neural information processing systems, 13, 2000.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Using the Nystr¨ om method to speed up kernel machines.Advances in neural information processing systems, 13, 2000

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.726755Z

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Observation 406ef9f4-63ca-4bbc-ae3b-a6773793c5d6 · outbound

This paper cites Minimax-optimal nonparametric regression in high dimensions.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Minimax-optimal nonparametric regression in high dimensions

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.730339Z

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Observation 943a714a-895f-451b-b0b7-fa0de9e39e82 · outbound

This paper cites Modeling of strength of high-performance concrete using artificial neural networks.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Modeling of strength of high-performance concrete using artificial neural networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.733643Z

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Observation d51ceeed-694b-4f14-893e-ca631b472a08 · outbound

This paper cites Radial neighbours for provably accurate scalable approximations of Gaussian processes.Biometrika, 111(4):1151–1167, 2024.

GNet: A scalable and flexible Gaussian process network with nonparametric neurons Radial neighbours for provably accurate scalable approximations of Gaussian processes.Biometrika, 111(4):1151–1167, 2024

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T07:15:29.736720Z

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