Paper Citation Record · LEDGER

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2412.03299.

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

pith.paper-citation-record.v1
2412.03299 v1

Coverage vector

measured 40 of 40 reference resolution

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measured 40 of 40 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 2e6793ec-712e-4f08-a5b0-364ee4cca310 · outbound

This paper cites Interpretation of structure in the di-$J/\psi$ spectrum.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Interpretation of structure in the di-$J/\psi$ spectrum

Reference 1

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Observation cefdeba6-864a-4509-a267-bc0b49807c34 · outbound

This paper cites an unresolved cited work.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Unresolved cited work

Reference 2

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Observation 5be21dd1-12b9-4d78-b802-93b2664c4c8e · outbound

This paper cites Rawlinson, S.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Rawlinson, S

Reference 3

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This paper cites Pace, Andrea Rovida, Francesco Visini, MPS Group, Giovanni Barreca, Carmelo Monaco, and Iunio Iervolino.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Pace, Andrea Rovida, Francesco Visini, MPS Group, Giovanni Barreca, Carmelo Monaco, and Iunio Iervolino

Reference 4

Resolution: verified exact; doi, observed 2026-08-11T22:38:38.036961Z

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Observation ba52a3dc-d9c3-42ae-b02f-1cae03754427 · outbound

This paper cites Atanackov, Petra Jamšek Rupnik, Martina ˇCarman, Laurentiu Danciu, and Andrej Gosar.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Atanackov, Petra Jamšek Rupnik, Martina ˇCarman, Laurentiu Danciu, and Andrej Gosar

Reference 5

Resolution: verified exact; doi, observed 2026-08-11T22:38:38.008033Z

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Observation 497a7667-fc31-421c-844d-999acc7f3eda · outbound

This paper cites Abrahamson, Nicolas M.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Abrahamson, Nicolas M

Reference 6

Resolution: verified exact; doi, observed 2026-08-11T22:38:37.685609Z

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Observation 8147227c-9864-4c86-828e-c22f2be741bf · outbound

This paper cites CyberShake: A Physics-Based Seismic Hazard Model for Southern California.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept CyberShake: A Physics-Based Seismic Hazard Model for Southern California

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T22:38:37.553218Z

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Observation 0f726504-f798-4f5f-97e2-4ce0aa6442a4 · outbound

This paper cites Gao, Jorge C.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Gao, Jorge C

Reference 8

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Observation 4427cd5a-04fb-4c12-9de0-2972d7848cb9 · outbound

This paper cites Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations

Reference 9

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Observation a164624c-135f-4e54-a405-3d5f559174b2 · outbound

This paper cites Rapid Computation of Physics-Based Ground Motions in the Spectral Domain using Neural Networks.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Rapid Computation of Physics-Based Ground Motions in the Spectral Domain using Neural Networks

Reference 10

Resolution: verified exact; doi, observed 2026-08-11T22:38:37.391158Z

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Observation 63eda3b0-8f9d-46d8-a7c8-6419d9759ef3 · outbound

This paper cites 3D elastic wave propagation with a Factorized Fourier Neural Operator (F-FNO).

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept 3D elastic wave propagation with a Factorized Fourier Neural Operator (F-FNO)

Reference 11

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Observation bf25bfaa-630f-4095-a98e-027090be2472 · outbound

This paper cites The Collaborative Seismic Earth Model: Generation.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept The Collaborative Seismic Earth Model: Generation

Reference 12

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Observation e8e7a8cd-0896-4c8e-b081-70e342944231 · outbound

This paper cites doi: 10.1029/2018GL077338.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept doi: 10.1029/2018GL077338

Reference 13

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Observation c6c7a05e-425f-4977-af52-eb3fe175cf0e · outbound

This paper cites Ajala and P.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Ajala and P

Reference 14

Resolution: verified exact; doi, observed 2026-08-11T22:38:37.204748Z

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Observation 7fe54c8f-6056-402f-9381-20c032df11b1 · outbound

This paper cites Enhancing Regional Seismic Velocity Models With Higher-Resolution Local Results Using Sparse Dictionary Learning.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Enhancing Regional Seismic Velocity Models With Higher-Resolution Local Results Using Sparse Dictionary Learning

Reference 15

Resolution: verified exact; doi, observed 2026-08-11T22:38:37.155865Z

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Observation bff5d931-d5a1-42bd-8607-0f9ee3de7de1 · outbound

This paper cites Scivier, Tarje Nissen-Meyer, Paula Koelemeijer, and Atılım Güne¸ s Baydin.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Scivier, Tarje Nissen-Meyer, Paula Koelemeijer, and Atılım Güne¸ s Baydin

Reference 16

Resolution: verified exact; doi, observed 2026-08-11T22:38:37.057514Z

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Observation b44f8d80-a97e-47e1-b638-e173f020c47e · outbound

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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Unresolved cited work

Reference 17

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Observation c0294705-c73b-4e25-be2d-0c13ba80624f · outbound

This paper cites When Gaussian Process Meets Big Data: A Review of Scalable GPs.IEEE Transactions on Neural Networks and Learning Systems, 31(11):4405–4423,.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept When Gaussian Process Meets Big Data: A Review of Scalable GPs.IEEE Transactions on Neural Networks and Learning Systems, 31(11):4405–4423,

Reference 18

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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Unresolved cited work

Reference 19

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Observation 163e654a-b684-4f28-a577-dca37e5b1acb · outbound

This paper cites Variational Learning of Inducing Variables in Sparse Gaussian Processes.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Variational Learning of Inducing Variables in Sparse Gaussian Processes

Reference 20

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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Unresolved cited work

Reference 21

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Observation 9977909f-68f2-4863-b5fb-81bffa4b2745 · outbound

This paper cites Parametric Gaussian process regressors.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Parametric Gaussian process regressors

Reference 22

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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Most likely heteroscedastic Gaussian process regression

Reference 23

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This paper cites Large-scale Heteroscedastic Regression via Gaussian Process,.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Large-scale Heteroscedastic Regression via Gaussian Process,

Reference 24

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This paper cites Large-scale Heteroscedastic Regression via Gaussian Process.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Large-scale Heteroscedastic Regression via Gaussian Process

Reference 25

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This paper cites A reflectionless discrete perfectly matched layer.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept A reflectionless discrete perfectly matched layer

Reference 26

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Observation b2c5a69b-2620-4ca6-90db-e6aef2fbcb4c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Adam: A Method for Stochastic Optimization

Reference 27

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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Unresolved cited work

Reference 28

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This paper cites AxiSEM3D: broad-band seismic wavefields in 3-D global earth models with undulating discontinuities.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept AxiSEM3D: broad-band seismic wavefields in 3-D global earth models with undulating discontinuities

Reference 29

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Observation 23ff1009-46f3-4d2c-a675-8e178d590d70 · outbound

This paper cites On holomorphic curves tangent to real hypersurfaces of infinite type.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept On holomorphic curves tangent to real hypersurfaces of infinite type

Reference 30

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This paper cites OpenSWPC: an open-source integrated parallel simulation code for modeling seismic wave propagation in 3D heterogeneous viscoelastic media.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept OpenSWPC: an open-source integrated parallel simulation code for modeling seismic wave propagation in 3D heterogeneous viscoelastic media

Reference 31

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Observation dcf2bbcc-7060-4e7d-8edb-29b6cf6b268d · outbound

This paper cites Harris, K.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Harris, K

Reference 32

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This paper cites Jupyter Notebooks - a publishing format for reproducible computational workflows.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Jupyter Notebooks - a publishing format for reproducible computational workflows

Reference 33

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This paper cites Binder 2.0 - Reproducible, interactive, sharable environments for science at scale.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Binder 2.0 - Reproducible, interactive, sharable environments for science at scale

Reference 34

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 35

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This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 36

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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Unresolved cited work

Reference 37

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This paper cites GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration.

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

Reference 40

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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Unresolved cited work

Reference 2007

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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept Unresolved cited work

Reference 2020

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