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Paper Citation Record · LEDGER

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network

As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.21789.

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

pith.paper-citation-record.v1
2606.21789 v1

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measured 56 of 56 reference resolution

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Reference resolution

56 of 56 outbound references displayed

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Outbound references

Observation 9fc77a01-bfc1-4b92-a9f0-2a3a012ab936 · outbound

This paper cites Functional-prior-based approaches to Bayesian PDE-constrained inversion using physics-informed neural networks.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Functional-prior-based approaches to Bayesian PDE-constrained inversion using physics-informed neural networks

Reference 1

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This paper cites an unresolved cited work.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

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Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

Reference 3

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Observation 485e4ae1-61cb-404c-94cb-273cbd84e182 · outbound

This paper cites Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination, Scientific Reports\/ , 15 (1), 1846.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination, Scientific Reports\/ , 15 (1), 1846

Reference 4

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Observation 8e80d911-fbac-4a39-be94-29c68b1a5cfd · outbound

This paper cites Source mechanisms and tectonic significance of historical earthquakes along the Nankai Trough, Japan , Tectonophysics\/ , 27 (2), 119--140.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Source mechanisms and tectonic significance of historical earthquakes along the Nankai Trough, Japan , Tectonophysics\/ , 27 (2), 119--140

Reference 5

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This paper cites Mowlas: Nied observation network for earthquake, tsunami and volcano, Earth, Planets and Space\/ , 72 (1), 1--31.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Mowlas: Nied observation network for earthquake, tsunami and volcano, Earth, Planets and Space\/ , 72 (1), 1--31

Reference 6

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Observation 4c499fa9-2e30-4e46-ac7f-2eb2f49c3eae · outbound

This paper cites F., Bassett, D., Harding, A.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network F., Bassett, D., Harding, A

Reference 7

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Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

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Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

Reference 9

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Observation 80916ab6-63ee-494b-8080-4a4322e5f5ed · outbound

This paper cites & Sambridge, M., 2009.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network & Sambridge, M., 2009

Reference 10

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Observation fd057387-99c6-40a0-8100-9d456a891f94 · outbound

This paper cites A., Rost, S., Guo, Z., Wu, X., & Chen, Y., 2022.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network A., Rost, S., Guo, Z., Wu, X., & Chen, Y., 2022

Reference 11

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Observation 55abcb5e-b73e-413a-a224-1304bd66a89c · outbound

This paper cites D., Pendleton, B.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network D., Pendleton, B

Reference 12

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This paper cites S., Simons, M., Minson, S.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network S., Simons, M., Minson, S

Reference 13

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This paper cites eikonalfm: Python module for solving the Eikonal equation using the fast marching method , https://github.com/kevinganster/eikonalfm, Accessed: 2025-08-14.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network eikonalfm: Python module for solving the Eikonal equation using the fast marching method , https://github.com/kevinganster/eikonalfm, Accessed: 2025-08-14

Reference 14

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Observation d4e7dea7-9b45-40ae-a616-54758e19a210 · outbound

This paper cites Propagation of the velocity model uncertainties to the seismic event location , Geophysical Journal International\/ , 200 (1), 52--66.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Propagation of the velocity model uncertainties to the seismic event location , Geophysical Journal International\/ , 200 (1), 52--66

Reference 15

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Observation 7aefd76a-b7ed-404b-9575-c76a2f33a213 · outbound

This paper cites Neural Eikonal solver: Improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics , Journal of Computational Physics\/ , 474 , 111789.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Neural Eikonal solver: Improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics , Journal of Computational Physics\/ , 474 , 111789

Reference 16

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Observation c014c3a4-9454-48e2-9bd2-b2e67aedd1fe · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification , in Proceedings of the IEEE international conference on computer vision\/ , pp.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Delving deep into rectifiers: Surpassing human-level performance on imagenet classification , in Proceedings of the IEEE international conference on computer vision\/ , pp

Reference 17

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Observation 3b30169a-72c0-4e55-88b1-00b762ff9ca6 · outbound

This paper cites & Kono, Y., 2005.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network & Kono, Y., 2005

Reference 18

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Observation 93c75a9d-e1c6-4255-ab43-9854993f04ee · outbound

This paper cites Data and Sample Research System for Whole Cruise Information in JAMSTEC , http://www.godac.jamstec.go.jp/darwin/, Accessed 10 June, 2024.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Data and Sample Research System for Whole Cruise Information in JAMSTEC , http://www.godac.jamstec.go.jp/darwin/, Accessed 10 June, 2024

Reference 19

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Observation db285a37-73d9-4c6b-8c01-3b960bd4ed90 · outbound

This paper cites User's guide: Monthly report on earthquakes and volcanoes in japan (catalog), https://www.data.jma.go.jp/eqev/data/bulletin/catalog/notes_e.html, Accessed 17 June 2026.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network User's guide: Monthly report on earthquakes and volcanoes in japan (catalog), https://www.data.jma.go.jp/eqev/data/bulletin/catalog/notes_e.html, Accessed 17 June 2026

Reference 20

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Observation f106bf23-18bf-4eca-833e-e33559cbaa42 · outbound

This paper cites Element-wise Multiplication Based Deeper Physics-Informed Neural Networks.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Element-wise Multiplication Based Deeper Physics-Informed Neural Networks

Reference 21

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Observation 968f4025-acc3-4eec-b17c-c9af6845b5bf · outbound

This paper cites Development and application of an advanced ocean floor network system for megathrust earthquakes and tsunamis , in Seafloor observatories\/ , pp.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Development and application of an advanced ocean floor network system for megathrust earthquakes and tsunamis , in Seafloor observatories\/ , pp

Reference 22

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Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

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This paper cites Seismological evidence of mantle flow driving plate motions at a palaeo-spreading centre , Nature Geoscience\/ , 7 (5), 371--375.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Seismological evidence of mantle flow driving plate motions at a palaeo-spreading centre , Nature Geoscience\/ , 7 (5), 371--375

Reference 24

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Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

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Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

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This paper cites Understanding and accelerating particle-based variational inference, in International Conference on Machine Learning\/ , pp.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Understanding and accelerating particle-based variational inference, in International Conference on Machine Learning\/ , pp

Reference 27

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This paper cites & Wang, D., 2016.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network & Wang, D., 2016

Reference 28

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This paper cites A., & Pathiraja, S., 2025.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network A., & Pathiraja, S., 2025

Reference 29

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This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Mish: A Self Regularized Non-Monotonic Activation Function

Reference 30

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Observation 7cdb24f8-e8db-4d71-9c0f-67149e89bf9d · outbound

This paper cites & Tarantola, A., 1995.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network & Tarantola, A., 1995

Reference 31

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This paper cites O., Nakamura, T., Obana, K., Kodaira, S., & Kaneda, Y., 2018.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network O., Nakamura, T., Obana, K., Kodaira, S., & Kaneda, Y., 2018

Reference 32

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This paper cites Local three-dimensional earthquake tomography by trans-dimensional Monte Carlo sampling , Geophysical Journal International\/ , 201 (3), 1598--1617.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Local three-dimensional earthquake tomography by trans-dimensional Monte Carlo sampling , Geophysical Journal International\/ , 201 (3), 1598--1617

Reference 33

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Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:9eb8dff9f19afb8ef1b1e74c40f5a1e65f94400d29c6621d2d00d456a41e92d2

Observation 4a13c9d9-65e7-432b-b99f-4e8b71dc72b4 · outbound

This paper cites E., 2019.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network E., 2019

Reference 35

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:5ef48bbda3c9beaecfa4bbc083512e3420d6ec58f8a88b948531496cae9bb8b8

Observation 45451e52-889c-4709-a5fa-b5de9480f88e · outbound

This paper cites Iterative Methods for Sparse Linear Systems (2nd edition)\/ , Society for Industrial and Applied Mathematics.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Iterative Methods for Sparse Linear Systems (2nd edition)\/ , Society for Industrial and Applied Mathematics

Reference 36

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:cd336373452785f2af4bfe2b4838fb4d0f926179f0586a9a5f356a041531e710

Observation c2335426-709b-4110-9503-36a486adac3e · outbound

This paper cites A., 1996.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network A., 1996

Reference 37

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:733c56ebe75accd781c4d0ba07b007260c5e3e5c9a5b5703caabd6e3700c5244

Observation d85d1301-8a8d-468b-b14f-d8da366528df · outbound

This paper cites Implicit neural representations with periodic activation functions, Advances in neural information processing systems\/ , 33 , 7462--7473.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Implicit neural representations with periodic activation functions, Advances in neural information processing systems\/ , 33 , 7462--7473

Reference 38

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:19e94f7abe112cee359fd9b0ad9eb177c93c7cac72a3ee6d7a8d78fab4269b6c

Observation 17a442a5-ab90-4905-be09-a655d4c50484 · outbound

This paper cites D., Azizzadenesheli, K., & Ross, Z.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network D., Azizzadenesheli, K., & Ross, Z

Reference 39

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:c17db7e945b9ff2d11e23259422b6b755a0fd3374ce4deab672fff3d12642923

Observation a0b84993-78e3-4744-b366-80667c2844bc · outbound

This paper cites Implicit seismic full waveform inversion with deep neural representation , Journal of Geophysical Research: Solid Earth\/ , 128 (3), e2022JB025964.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Implicit seismic full waveform inversion with deep neural representation , Journal of Geophysical Research: Solid Earth\/ , 128 (3), e2022JB025964

Reference 40

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:b8bafccdfefd0114dc3ce7080eed354e96892c1ab02a195ebbffdd264a67d8c5

Observation deb1dd67-15d3-4d44-9cd6-fa3e5ae4e904 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains , Advances in Neural Information Processing Systems\/ , 33 , 7537--7547.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Fourier features let networks learn high frequency functions in low dimensional domains , Advances in Neural Information Processing Systems\/ , 33 , 7537--7547

Reference 41

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:51e9c052a3edf490e9d99a5102533cc421be87d61ff78ffc307d7ae96667fd32

Observation 4c3e960c-b26e-4ae6-aee9-5130f758c3b2 · outbound

This paper cites Inverse problem theory and methods for model parameter estimation\/ , SIAM.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Inverse problem theory and methods for model parameter estimation\/ , SIAM

Reference 42

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:b380fed890c37d482863ed40c163180547a1ffde431b50356a419148e60fd79d

Observation b9c2ebeb-5ab5-4bd2-aa35-e72bcc16b086 · outbound

This paper cites an unresolved cited work.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:b36c3cac0b8771aff72fed32f4828f5442bccd7e8ea32355a4c48ddc9b4e62d1

Observation b97f56f0-b135-49d7-bb2a-b92361fd766d · outbound

This paper cites M., 2025.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network M., 2025

Reference 44

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:b8778d284f4a73a3c8e9d388e17f5baff35d73fe09a06ae4b092e5e35e1f2990

Observation 91cf271a-ea3b-476f-ae52-d5c100e8712c · outbound

This paper cites B., Haghighat, E., Alkhalifah, T., Song, C., & Hao, Q., 2021.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network B., Haghighat, E., Alkhalifah, T., Song, C., & Hao, Q., 2021

Reference 45

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:bbcd9b0a4c8dc456a02bb8c514fab4150f4cbe7be72c364fc9d6a00313b41bf3

Observation 1deaa1af-5f24-4bc4-b680-beef5204a6c0 · outbound

This paper cites K., Li, B., & Perdikaris, P., 2025.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network K., Li, B., & Perdikaris, P., 2025

Reference 46

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:83e4a444cadbbf0488fc40482e5ac138a9891da30522aa1dd4f65f9ffff2d62e

Observation 3ea2b974-e8d4-4faf-8a2b-4868d10a0054 · outbound

This paper cites Function Space Particle Optimization for Bayesian Neural Networks , in International Conference on Learning Representations\/.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Function Space Particle Optimization for Bayesian Neural Networks , in International Conference on Learning Representations\/

Reference 47

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:46e42af0ec5f37829a8841895608bdca790dc8b1a358a7809447395268c6bf87

Observation 629d089d-809e-4f49-a361-42fe8030610e · outbound

This paper cites A widely applicable bayesian information criterion, Journal of Machine Learning Research\/ , 14 (Mar), 867--897.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network A widely applicable bayesian information criterion, Journal of Machine Learning Research\/ , 14 (Mar), 867--897

Reference 48

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:b2562ca9969f1b31542c227895cc1b41bfa838585522fa34f7d80fac27acd760

Observation e931e466-993f-45a1-9102-e40177b4aada · outbound

This paper cites Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree, Advances in computational Mathematics\/ , 4 (1), 389--396.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree, Advances in computational Mathematics\/ , 4 (1), 389--396

Reference 49

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:7bfde2bdccd34004862033b74c004180dad8ef8bf78f09706ccb55d0479bde8d

Observation 74879cc8-f0e1-4064-a042-41fff40b8e2b · outbound

This paper cites an unresolved cited work.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:72e9e41982c6b8435bccea25a40d370ad3394f1dd36a5b54146563c878d0698e

Observation 649d6b51-07ed-499e-895f-ca384b73aaa6 · outbound

This paper cites 3-D variational inference-based double-difference seismic tomography method and application to the SAFOD site, California , Geophysical Journal International\/ , 241 (1), 378--404.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network 3-D variational inference-based double-difference seismic tomography method and application to the SAFOD site, California , Geophysical Journal International\/ , 241 (1), 378--404

Reference 51

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:e0d6112642f4b96d01c79e988ce4ec44d11263fcb2a0c0ec21e2bc04b232d092

Observation 7bb839b3-b8d3-4a92-8bff-877264391b07 · outbound

This paper cites an unresolved cited work.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Unresolved cited work

Reference 52

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:43f5c4bb94cdad4b0701a3943b67aba83afa555c751c5623f7bbef27af199022

Observation 9f914f2d-aaeb-4800-9e52-ccc1100d99dd · outbound

This paper cites & Thurber, C.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network & Thurber, C

Reference 53

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:8ca22b4858cdc5ed84f0893e3686e22232d57b0eac14fa039110be58d883e72a

Observation a627a8a9-6d14-4c69-9015-70564014d962 · outbound

This paper cites Multilayer perceptron and Bayesian neural network-based elastic implicit full waveform inversion , IEEE Transactions on Geoscience and Remote Sensing\/ , 61 , 1--16.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Multilayer perceptron and Bayesian neural network-based elastic implicit full waveform inversion , IEEE Transactions on Geoscience and Remote Sensing\/ , 61 , 1--16

Reference 54

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:2eed86516ff6011526ccaff818f8f19ba8231cb5e06c0891319af68858f595b1

Observation f008603d-9bda-44be-b09d-29a3289b5e80 · outbound

This paper cites & Curtis, A., 2020 a.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network & Curtis, A., 2020 a

Reference 55

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:0f203e693d7834f68019d3467a7b8c2d7849cc5198b3722dba34a25fce71a29b

Observation 5ee3b852-6954-44bd-aa6b-e3e2343bb904 · outbound

This paper cites & Curtis, A., 2020 b.

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network & Curtis, A., 2020 b

Reference 56

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source=arxiv_source observed=2026-06-26T12:13:53.218021Z digest=sha256:28ffaded977e4a622d6b908ef1bff273be3147f49b4fa9dea64cf45855b1ac8b

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