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Paper Citation Record · LEDGER

Three-dimensional crustal deformation analysis using physics-informed deep learning

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.02272.

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

pith.paper-citation-record.v1
2507.02272 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 46873eec-1893-463f-a75b-7330aefdfe24 · outbound

This paper cites an unresolved cited work.

Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

Reference 1

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

Reference 2

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

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This paper cites W., Lu, Q., & Koric, S.

Three-dimensional crustal deformation analysis using physics-informed deep learning W., Lu, Q., & Koric, S

Reference 4

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

Reference 5

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

Reference 6

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Three-dimensional crustal deformation analysis using physics-informed deep learning and Erickson, B

Reference 7

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

Reference 8

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

Three-dimensional crustal deformation analysis using physics-informed deep learning D., Azizzadenesheli, K., & Ross, Z

Reference 9

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

Three-dimensional crustal deformation analysis using physics-informed deep learning B., Haghighat, E., Alkhalifah, T., Song, C., & Hao, Q

Reference 10

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Three-dimensional crustal deformation analysis using physics-informed deep learning D., Ross, Z

Reference 11

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This paper cites H., Waheed, U.

Three-dimensional crustal deformation analysis using physics-informed deep learning H., Waheed, U

Reference 12

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This paper cites PINNtomo: Seismic tomography using physics-informed neural networks.

Three-dimensional crustal deformation analysis using physics-informed deep learning PINNtomo: Seismic tomography using physics-informed neural networks

Reference 13

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

Three-dimensional crustal deformation analysis using physics-informed deep learning A., Rost, S., Guo, Z., Wu, X., & Chen, Y

Reference 14

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This paper cites Solving the wave equation with physics-informed deep learning.

Three-dimensional crustal deformation analysis using physics-informed deep learning Solving the wave equation with physics-informed deep learning

Reference 15

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

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Three-dimensional crustal deformation analysis using physics-informed deep learning X., Sun, H., & Liu, Y

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Three-dimensional crustal deformation analysis using physics-informed deep learning D., & Karniadakis, G

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Three-dimensional crustal deformation analysis using physics-informed deep learning D., & Karniadakis , G

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Three-dimensional crustal deformation analysis using physics-informed deep learning G., Pearlmutter, B

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This paper cites Bulletin of the Seismological Society of America, 82(2), 1018–1040 (1992).

Three-dimensional crustal deformation analysis using physics-informed deep learning Bulletin of the Seismological Society of America, 82(2), 1018–1040 (1992)

Reference 31

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Three-dimensional crustal deformation analysis using physics-informed deep learning T., Knepley, M

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Reference 33

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This paper cites (2008), Crustal deformation and seismic fault model of the Iwate -Miyagi nairiku earthquake in 2008, GSI Journal, 117, 79 –80 (in Japanese).

Three-dimensional crustal deformation analysis using physics-informed deep learning (2008), Crustal deformation and seismic fault model of the Iwate -Miyagi nairiku earthquake in 2008, GSI Journal, 117, 79 –80 (in Japanese)

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

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Three-dimensional crustal deformation analysis using physics-informed deep learning Unresolved cited work

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This paper cites and Fujie, G., (2025), Physics -informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination, Scientific Reports , 15, 1846.

Three-dimensional crustal deformation analysis using physics-informed deep learning and Fujie, G., (2025), Physics -informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination, Scientific Reports , 15, 1846

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Pith citing papers

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