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Paper Citation Record · LEDGER

Seismic tomography using variational inference methods

As of 16 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:1908.08356.

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pith.paper-citation-record.v1
1908.08356 v2

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measured 86 of 86 reference resolution

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measured 86 of 86 standing notices

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Reference resolution

86 of 86 outbound references displayed

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Outbound references

Observation a9bffaa8-d762-42e9-935e-7fba48e1d787 · outbound

This paper cites Determination of three-dimensional velocity anomalies under a seismic array using first P arrival times from local earthquakes: 1.

Seismic tomography using variational inference methods Determination of three-dimensional velocity anomalies under a seismic array using first P arrival times from local earthquakes: 1

Reference 1

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Observation 8640cece-1474-4f1c-b083-1107f6d4031e · outbound

This paper cites Interrogation theory.

Seismic tomography using variational inference methods Interrogation theory

Reference 2

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Observation a54d44f8-4724-47e7-93b0-8caf8d8283f0 · outbound

This paper cites A 3-D shear velocity model of the crust and uppermost mantle beneath the United States from ambient seismic noise.

Seismic tomography using variational inference methods A 3-D shear velocity model of the crust and uppermost mantle beneath the United States from ambient seismic noise

Reference 3

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Observation 9b35c33e-fa76-45c0-9959-e152cfc43582 · outbound

This paper cites Pattern recognition and machine learning.

Seismic tomography using variational inference methods Pattern recognition and machine learning

Reference 4

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Observation 7820a682-f1c1-47e0-a348-8856ccd62870 · outbound

This paper cites Variational inference: A review for statisticians.

Seismic tomography using variational inference methods Variational inference: A review for statisticians

Reference 5

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Observation 7d745913-154c-47cc-943b-fca6a16499dd · outbound

This paper cites Seismic tomography with the reversible jump algorithm.

Seismic tomography using variational inference methods Seismic tomography with the reversible jump algorithm

Reference 6

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Observation af82e155-c062-46ff-a345-e7e5c2d7df03 · outbound

This paper cites Transdimensional inversion of receiver functions and surface wave dispersion.Journal of Geophysical Research: Solid Earth, 117(B2), 2012.

Seismic tomography using variational inference methods Transdimensional inversion of receiver functions and surface wave dispersion.Journal of Geophysical Research: Solid Earth, 117(B2), 2012

Reference 7

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Observation a43b867e-8bef-496a-861b-ee17238b6426 · outbound

This paper cites Velocity variations and uncertainty from transdimensional P-wave tomography of North America.

Seismic tomography using variational inference methods Velocity variations and uncertainty from transdimensional P-wave tomography of North America

Reference 8

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Observation ca43f29a-9570-42b1-aa06-af97d7087167 · outbound

This paper cites Long-range correlations in the diffuse seismic coda.

Seismic tomography using variational inference methods Long-range correlations in the diffuse seismic coda

Reference 9

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Observation f0dc13ea-3415-48eb-83b3-8a90507d387c · outbound

This paper cites Probability and stochastics, volume 261.

Seismic tomography using variational inference methods Probability and stochastics, volume 261

Reference 10

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Observation d673ac12-b5d6-4612-ba6f-3cba511cb3ad · outbound

This paper cites Transdimensional ambient noise tomography of Bass Strait, southeast Australia, reveals the sedimentary basin and deep crustal structure beneath a failed continental rift.

Seismic tomography using variational inference methods Transdimensional ambient noise tomography of Bass Strait, southeast Australia, reveals the sedimentary basin and deep crustal structure beneath a failed continental rift

Reference 11

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Observation 4c110ea5-99c3-4a3c-b391-f7c6dd8ce02b · outbound

This paper cites Prior information, sampling distributions, and the curse of dimensionality.

Seismic tomography using variational inference methods Prior information, sampling distributions, and the curse of dimensionality

Reference 12

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Observation 944c4b27-f34b-43d9-abe1-e92650aeb831 · outbound

This paper cites Reconditioning inverse problems using the genetic algorithm and revised parameterization.

Seismic tomography using variational inference methods Reconditioning inverse problems using the genetic algorithm and revised parameterization

Reference 13

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Observation b5dfe4fe-0a7a-450d-9ab4-a896f082a510 · outbound

This paper cites Probing the earth’s interior with seismic tomography.International Geophysics Series, 81(A):861–874, 2002.

Seismic tomography using variational inference methods Probing the earth’s interior with seismic tomography.International Geophysics Series, 81(A):861–874, 2002

Reference 14

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Observation 061ea360-cd53-4e82-9b88-ccd949ca2309 · outbound

This paper cites Seismic interferometry – turning noise into signal.

Seismic tomography using variational inference methods Seismic interferometry – turning noise into signal

Reference 15

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Observation c10d2eba-32ba-4b17-b001-78f762cec15b · outbound

This paper cites Variational MCMC.

Seismic tomography using variational inference methods Variational MCMC

Reference 16

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Observation b51aea60-ece3-45f4-a047-4f05275d4745 · outbound

This paper cites An efficient, probabilistic neural network approach to solving inverse problems: Inverting surface wave velocities for Eurasian crustal thickness.

Seismic tomography using variational inference methods An efficient, probabilistic neural network approach to solving inverse problems: Inverting surface wave velocities for Eurasian crustal thickness

Reference 17

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Observation afb37c77-a486-4374-8f37-77021bc3f907 · outbound

This paper cites Global images of the Earth’s interior.

Seismic tomography using variational inference methods Global images of the Earth’s interior

Reference 18

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Observation 3f02c5ae-91b7-4d1e-8884-dbaf85ed6499 · outbound

This paper cites Probabilistic Neural-Network Based 2D Travel Time Tomography.

Seismic tomography using variational inference methods Probabilistic Neural-Network Based 2D Travel Time Tomography

Reference 19

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Observation 5d84517c-7478-4697-9577-9646d0643d18 · outbound

This paper cites Wavelet-based double-difference seismic tomography with sparsity regular- ization.

Seismic tomography using variational inference methods Wavelet-based double-difference seismic tomography with sparsity regular- ization

Reference 20

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Observation fe5d50c0-ce57-47fe-97ed-3bd4ec7c9a47 · outbound

This paper cites Transdimensional electrical resistivity tomography.

Seismic tomography using variational inference methods Transdimensional electrical resistivity tomography

Reference 21

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Observation a4bceb96-e591-4742-a743-6edf4818b5fc · outbound

This paper cites Uncertainty loops in travel-time to- mography from nonlinear wave physics.

Seismic tomography using variational inference methods Uncertainty loops in travel-time to- mography from nonlinear wave physics

Reference 22

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Observation 714462f0-5142-4501-8430-fbe274a0ace6 · outbound

This paper cites Transdimensional love-wave tomography of the British Isles and shear-velocity structure of the east Irish Sea Basin from ambient-noise inter- ferometry.

Seismic tomography using variational inference methods Transdimensional love-wave tomography of the British Isles and shear-velocity structure of the east Irish Sea Basin from ambient-noise inter- ferometry

Reference 23

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Observation 6f8a8eee-85d0-4250-9027-3614d47d3cac · outbound

This paper cites Measuring sample quality with Stein’s method.

Seismic tomography using variational inference methods Measuring sample quality with Stein’s method

Reference 24

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Observation 135c9b4a-037a-4ab7-b97d-d0de601b3be5 · outbound

This paper cites Reversible jump Markov chain Monte Carlo computation and Byesian model determination.

Seismic tomography using variational inference methods Reversible jump Markov chain Monte Carlo computation and Byesian model determination

Reference 25

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Observation 09d3d6e1-5719-4223-b062-cc135c66cb12 · outbound

This paper cites Reversible jump MCMC.

Seismic tomography using variational inference methods Reversible jump MCMC

Reference 26

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Observation ee0349ef-7398-42f5-babb-c17a9720a351 · outbound

This paper cites Introduction to RKHS, and some simple kernel algorithms.

Seismic tomography using variational inference methods Introduction to RKHS, and some simple kernel algorithms

Reference 27

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Observation c7502cb0-681c-4995-ba99-54b9d7ea8771 · outbound

This paper cites Monte Carlo sampling methods using Markov chains and their applications.

Seismic tomography using variational inference methods Monte Carlo sampling methods using Markov chains and their applications

Reference 28

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Observation 2845adab-fde8-4aba-9645-df7b7dacbe2e · outbound

This paper cites Geophysical imaging using trans-dimensional trees.

Seismic tomography using variational inference methods Geophysical imaging using trans-dimensional trees

Reference 29

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Observation c85dab13-4340-4211-9d4a-6d6eea951bb6 · outbound

This paper cites Structured stochastic variational inference.

Seismic tomography using variational inference methods Structured stochastic variational inference

Reference 30

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Observation a9cfd77d-65a9-481a-9f1f-c5fa16640961 · outbound

This paper cites Seismic tomography: Theory and practice.

Seismic tomography using variational inference methods Seismic tomography: Theory and practice

Reference 31

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Observation 3001752c-c0ea-4442-b8d0-cfcad4d030df · outbound

This paper cites A first course in stochastic processes.

Seismic tomography using variational inference methods A first course in stochastic processes

Reference 32

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Observation bd744f88-af36-4e7a-8abe-b8861c5aa3db · outbound

This paper cites A framework for fast probabilistic centroid-moment-tensor determination – inversion of regional static displacement measurements.

Seismic tomography using variational inference methods A framework for fast probabilistic centroid-moment-tensor determination – inversion of regional static displacement measurements

Reference 33

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Observation c41fa08f-039e-4913-a2ab-365ee5973b8e · outbound

This paper cites Robust and fast probabilistic source param- eter estimation from near-field displacement waveforms using pattern recognition.

Seismic tomography using variational inference methods Robust and fast probabilistic source param- eter estimation from near-field displacement waveforms using pattern recognition

Reference 34

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Observation 8a30ae99-df17-4070-be3a-cb6c521c959c · outbound

This paper cites Auto-Encoding Variational Bayes.

Seismic tomography using variational inference methods Auto-Encoding Variational Bayes

Reference 35

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Observation 8a3a14f9-d58e-4cf7-811c-ebdbdea48ee7 · outbound

This paper cites Stochastic approximation algorithms and applications.

Seismic tomography using variational inference methods Stochastic approximation algorithms and applications

Reference 36

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Observation bf77bb96-6566-4e47-9bf5-4cbb52599e23 · outbound

This paper cites Automatic differentiation variational inference.

Seismic tomography using variational inference methods Automatic differentiation variational inference

Reference 37

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Observation 4eb52277-22f1-4b2a-a6ca-e20cd593d190 · outbound

This paper cites On information and sufficiency.The annals of mathematical statistics, 22(1):79–86, 1951.

Seismic tomography using variational inference methods On information and sufficiency.The annals of mathematical statistics, 22(1):79–86, 1951

Reference 38

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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 47125de0-8a53-46c2-8639-752b99280e28 · outbound

This paper cites Stein variational gradient descent: A general purpose Byesian inference algorithm.

Seismic tomography using variational inference methods Stein variational gradient descent: A general purpose Byesian inference algorithm

Reference 39

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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 78ac2cb8-8055-461c-a422-c54c1266fcde · outbound

This paper cites A kernelized Stein discrepancy for goodness-of-fit tests.

Seismic tomography using variational inference methods A kernelized Stein discrepancy for goodness-of-fit tests

Reference 40

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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.

source=pdf_text observed=2026-08-14T11:45:21.862979Z digest=sha256:b36674894ab4b0a4efc0a36d4af306c4c972e9c26c6bdc538a37bf56dd87d17d

Observation ff008002-6031-4a96-942a-b54ae950ce17 · outbound

This paper cites Parsimonious Byesian Markov chain Monte Carlo inversion in a nonlinear geophysical problem.

Seismic tomography using variational inference methods Parsimonious Byesian Markov chain Monte Carlo inversion in a nonlinear geophysical problem

Reference 41

Resolution
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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.

source=pdf_text observed=2026-08-14T11:45:21.867427Z digest=sha256:fb04bf6522795ddd9ed55ad52b9598b96f7a7e28cdf9534e079025bed37c661e

Observation 3c090418-c97b-4678-b84b-01bec8820d39 · outbound

This paper cites Expanded uncertainty quantification in inverse problems: Hierarchi- cal Byes and empirical Byes.

Seismic tomography using variational inference methods Expanded uncertainty quantification in inverse problems: Hierarchi- cal Byes and empirical Byes

Reference 42

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raw_fallback, observed 2026-08-14T11:45:22.963201Z

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.

source=pdf_text observed=2026-08-14T11:45:21.872146Z digest=sha256:8288d65fda7ea4a55ba1f8132ad7afa48ef1943eb54c563feee6e14d943f2e23

Observation 271a9f07-99b2-4fb1-9148-910fcfe90097 · outbound

This paper cites A Monte Carlo method to quantify uncertainty in the inversion of zero-offset VSP data.

Seismic tomography using variational inference methods A Monte Carlo method to quantify uncertainty in the inversion of zero-offset VSP data

Reference 43

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raw_fallback, observed 2026-08-14T11:45:22.946528Z

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.

source=pdf_text observed=2026-08-14T11:45:21.876951Z digest=sha256:c90d84ffd37b9bd34f1b9f5bb239ff2ccb043956376700c858f770f1fef5c844

Observation fa64ac00-578e-49db-828c-47a61c40779b · outbound

This paper cites An introduction to sampling via measure transport.

Seismic tomography using variational inference methods An introduction to sampling via measure transport

Reference 44

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unresolved
no resolver link, observed 2026-08-14T11:45:21.881663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:21.881663Z digest=sha256:9206a7e631a77e6051d3e90d0d284545837c1b79f6b8bc83566888f9b94dc8ed

Observation 35a67c71-0515-4b5c-a7c7-26122cb1415e · outbound

This paper cites A global crustal model constrained by nonlinearised inversion of fundamental mode surface waves.

Seismic tomography using variational inference methods A global crustal model constrained by nonlinearised inversion of fundamental mode surface waves

Reference 45

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raw_fallback, observed 2026-08-14T11:45:22.929466Z

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.

source=pdf_text observed=2026-08-14T11:45:21.886828Z digest=sha256:3043b5a3f139f5ddb1c5b17f7cbd348e768a457c980932da91742c30cfcf5c37

Observation 9de68187-ced3-4415-8120-ad48be6d2036 · outbound

This paper cites Global crustal thickness from neural network inversion of surface wave data.

Seismic tomography using variational inference methods Global crustal thickness from neural network inversion of surface wave data

Reference 46

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no resolver link, observed 2026-08-14T11:45:21.891505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:21.891505Z digest=sha256:b5e11d078a022cf61d39f43d1c66fc1e27046d912828a7b9af612b2b67783604

Observation 6d9263c1-8a5f-41bc-a912-eb9990fd7196 · outbound

This paper cites The Monte Carlo method.

Seismic tomography using variational inference methods The Monte Carlo method

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.903154Z

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.

source=pdf_text observed=2026-08-14T11:45:21.896107Z digest=sha256:9b958e360fb4705a138d770c371be550dd401d31bad4908f326f06d97a1c15be

Observation 4aeb6c71-b9ba-49e3-a24c-f6c534ca4e19 · outbound

This paper cites Monte Carlo sampling of solutions to inverse problems.

Seismic tomography using variational inference methods Monte Carlo sampling of solutions to inverse problems

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.887593Z

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.

source=pdf_text observed=2026-08-14T11:45:21.900762Z digest=sha256:db82a26b7a387a7d12493a6c200b47c80f1051e05d0294872c789a474f45f094

Observation 54a36379-6002-499c-9033-9994eb00c471 · outbound

This paper cites Rapid discriminative variational Byesian inversion of geophysical data for the spatial distribution of geological properties.

Seismic tomography using variational inference methods Rapid discriminative variational Byesian inversion of geophysical data for the spatial distribution of geological properties

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.872130Z

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.

source=pdf_text observed=2026-08-14T11:45:21.905371Z digest=sha256:cad34516a23c6e88d646d96961d9614ee0926267ebbe776f05e30901deea2ac7

Observation 2140236d-c216-4b72-bbc6-d1154bdfd434 · outbound

This paper cites Variational Bayesian inversion (VBI) of quasi-localized seismic attributes for the spatial distribution of geological facies.

Seismic tomography using variational inference methods Variational Bayesian inversion (VBI) of quasi-localized seismic attributes for the spatial distribution of geological facies

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.856222Z

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.

source=pdf_text observed=2026-08-14T11:45:21.910147Z digest=sha256:183580a1093582e11f44670a49e46a00249d0afc359e49ce98a50e418071841e

Observation a12d8b66-ed5f-4415-a58b-228312b9d427 · outbound

This paper cites Seismic interferometry and ambient noise tomography in the British Isles.

Seismic tomography using variational inference methods Seismic interferometry and ambient noise tomography in the British Isles

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.840238Z

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.

source=pdf_text observed=2026-08-14T11:45:21.914784Z digest=sha256:1d41a0cdb317816eb9e871ae9220c2ca9f2851299676e31e7e4ca806128014f9

Observation 53cc11f8-3b45-451e-98aa-2a27c183d936 · outbound

This paper cites Rayleigh wave tomography of the British Isles from ambient seismic noise.

Seismic tomography using variational inference methods Rayleigh wave tomography of the British Isles from ambient seismic noise

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.824345Z

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.

source=pdf_text observed=2026-08-14T11:45:21.919478Z digest=sha256:5146c2a1097602751473cb9869a0c16f20eade97546dc0e045e1266cdd9634ed

Observation b0460d21-3fd8-41be-87d2-649d79adabdf · outbound

This paper cites Local three-dimensional earthquake tomography by trans-dimensional Monte Carlo sampling.

Seismic tomography using variational inference methods Local three-dimensional earthquake tomography by trans-dimensional Monte Carlo sampling

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.688268Z

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.

source=pdf_text observed=2026-08-14T11:45:21.924547Z digest=sha256:33af9b7b93b2a5700f4e791e109100f3325228e08436d79a288cb9a549371a67

Observation f316d80d-6be4-46ce-8ae5-595d7973f7c9 · outbound

This paper cites Black box variational inference.

Seismic tomography using variational inference methods Black box variational inference

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.671137Z

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.

source=pdf_text observed=2026-08-14T11:45:21.929198Z digest=sha256:f5e0bce5e7acfb43bfee6f684d0451f50a826992b482c112493cf3114d07f209

Observation fc22a3af-7a9d-41a7-9332-7c55a8294b3a · outbound

This paper cites Hierarchical variational models.

Seismic tomography using variational inference methods Hierarchical variational models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.655392Z

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.

source=pdf_text observed=2026-08-14T11:45:21.933711Z digest=sha256:2e5cb8af9989b5fc58433039b9472dd85070187e8b9d85cb4f247d37a107c58c

Observation 5bd4bc7e-c4ac-4c9e-adc9-1000ec08122e · outbound

This paper cites Multiple reflection and transmission phases in complex layered media using a multistage fast marching method.

Seismic tomography using variational inference methods Multiple reflection and transmission phases in complex layered media using a multistage fast marching method

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.638948Z

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.

source=pdf_text observed=2026-08-14T11:45:21.938162Z digest=sha256:42e1712683d497e089810e7b75e2f63e0c0fa543cc0a2efb9c6fabcee01d6fe2

Observation 13c7ec71-54c5-4a0f-a260-da9252390796 · outbound

This paper cites Robust and accelerated Byesian inversion of marine controlled-source electromagnetic data using parallel tempering.

Seismic tomography using variational inference methods Robust and accelerated Byesian inversion of marine controlled-source electromagnetic data using parallel tempering

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.622086Z

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.

source=pdf_text observed=2026-08-14T11:45:21.942591Z digest=sha256:77f226fdb26bad37855b038dde4237e67bfb5aa2ec83f8b25c516f9d849e013a

Observation a6b9cee3-8c99-448b-be10-746866c0fb4b · outbound

This paper cites Low frequency full waveform seismic inversion within a tree based Byesian framework.

Seismic tomography using variational inference methods Low frequency full waveform seismic inversion within a tree based Byesian framework

Reference 58

Resolution
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raw_fallback, observed 2026-08-14T11:45:22.605368Z

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.

source=pdf_text observed=2026-08-14T11:45:21.947180Z digest=sha256:8b7df22998b9b3a26ceca04dc8b6e8ee0040a87f488d25fd528309be739f36f1

Observation 8dead70c-0ea5-4676-9664-27f8d593a088 · outbound

This paper cites Variational Inference with Normalizing Flows.

Seismic tomography using variational inference methods Variational Inference with Normalizing Flows

Reference 59

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unresolved
no resolver link, observed 2026-08-14T11:45:21.951686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:21.951686Z digest=sha256:b8842bbbc2a94eaa92c66972eda8fe1678dc5aa3f722de15fa68aa71cdabc875

Observation b948c6e4-ac6d-410d-82da-14931e85ebce · outbound

This paper cites A stochastic approximation method.

Seismic tomography using variational inference methods A stochastic approximation method

Reference 60

Resolution
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no resolver link, observed 2026-08-14T11:45:21.957086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:21.957086Z digest=sha256:ea38d80adb8b2dd223322654a250765ba7fdfbf2d6f9ce8dea940f08d654d94b

Observation 9428e7c7-377a-469b-ac94-748d7383ad51 · outbound

This paper cites Monte Carlo statistical methods.

Seismic tomography using variational inference methods Monte Carlo statistical methods

Reference 61

Resolution
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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.

source=pdf_text observed=2026-08-14T11:45:21.961971Z digest=sha256:040d218f2977987b7f802dfa7083c34fbfea72ad623b1d98e2361d81eb6f1b36

Observation af80a5b4-1225-4092-81ab-9ed1d6242289 · outbound

This paper cites Neural networks and inversion of seismic data.

Seismic tomography using variational inference methods Neural networks and inversion of seismic data

Reference 62

Resolution
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raw_fallback, observed 2026-08-14T11:45:22.559875Z

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.

source=pdf_text observed=2026-08-14T11:45:21.966282Z digest=sha256:eafda47d99d2919b24280182b9deb1299473f6ac28ca6c68290b33ff5161f9b9

Observation 530d3ef2-810e-4b1f-86c1-dcc2ccd409c8 · outbound

This paper cites Markov chain Monte Carlo and variational inference: Bridg- ing the gap.

Seismic tomography using variational inference methods Markov chain Monte Carlo and variational inference: Bridg- ing the gap

Reference 63

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raw_fallback, observed 2026-08-14T11:45:22.544481Z

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.

source=pdf_text observed=2026-08-14T11:45:21.970802Z digest=sha256:f6f60b4962b65ad2b91ba1f396e0a0facdb43f886e734bb222eb00c1fd774631

Observation 21c39acf-61b7-42a1-a634-60e2284abe23 · outbound

This paper cites Geophysical inversion with a neighbourhood algorithm – i.

Seismic tomography using variational inference methods Geophysical inversion with a neighbourhood algorithm – i

Reference 64

Resolution
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raw_fallback, observed 2026-08-14T11:45:22.528951Z

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.

source=pdf_text observed=2026-08-14T11:45:21.975222Z digest=sha256:ec6601bbc07fee952725fee3d9c079944bdb870383aa1b5f7ae3e31fdf9be7c8

Observation 24b9a9ed-fd4e-42be-b710-ae8803a6d89f · outbound

This paper cites Exploiting tractable substructures in intractable networks.

Seismic tomography using variational inference methods Exploiting tractable substructures in intractable networks

Reference 65

Resolution
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raw_fallback, observed 2026-08-14T11:45:22.512506Z

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.

source=pdf_text observed=2026-08-14T11:45:21.980074Z digest=sha256:b0046aa870a8729e1840b9a524d02f1664d12130713be7a1ffb18498ca5a0a1c

Observation 8c1e1156-538c-4387-b191-e94c077ac520 · outbound

This paper cites Fast probabilistic nonlinear petrophysical inversion.

Seismic tomography using variational inference methods Fast probabilistic nonlinear petrophysical inversion

Reference 66

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no resolver link, observed 2026-08-14T11:45:21.984511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:21.984511Z digest=sha256:f63f6fb1c36d31b063a9a7e264eb9e988f70f1209bb7438e3f90f59b7b18f5ce

Observation aa1b1b84-b083-42de-854f-efb715e23c50 · outbound

This paper cites Fast probabilistic petrophysical mapping of reser- voirs from 3D seismic data.

Seismic tomography using variational inference methods Fast probabilistic petrophysical mapping of reser- voirs from 3D seismic data

Reference 67

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no resolver link, observed 2026-08-14T11:45:21.988920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:21.988920Z digest=sha256:44af6b1e56cc64157f0a36ce7c91d5c3ff2b7ea9ad68b99e4c643dfb0be118a5

Observation b61947d5-dc35-4bd8-ab6a-00b8be7eb200 · outbound

This paper cites High-resolution surface-wave tomography from ambient seismic noise.

Seismic tomography using variational inference methods High-resolution surface-wave tomography from ambient seismic noise

Reference 68

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raw_fallback, observed 2026-08-14T11:45:22.475167Z

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.

source=pdf_text observed=2026-08-14T11:45:21.993405Z digest=sha256:333a3844d9edfe094399f82ffff7b2703d2286b4ef7c53b76c610939eda40517

Observation f18bfcb6-ea45-4233-8898-0ba4746f90df · outbound

This paper cites Joint inversion of surface wave dispersion and receiver functions: a Byesian Monte-Carlo approach.

Seismic tomography using variational inference methods Joint inversion of surface wave dispersion and receiver functions: a Byesian Monte-Carlo approach

Reference 69

Resolution
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raw_fallback, observed 2026-08-14T11:45:22.457445Z

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.

source=pdf_text observed=2026-08-14T11:45:21.998410Z digest=sha256:7fbb019373b7628fecad618c334d69feda2e53eadab03bee1a4da796369257a0

Observation 888b3924-69ac-48b4-bb24-4494f10e1a3b · outbound

This paper cites an unresolved cited work.

Seismic tomography using variational inference methods Unresolved cited work

Reference 70

Resolution
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raw_fallback, observed 2026-08-14T11:45:22.440809Z

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.

source=pdf_text observed=2026-08-14T11:45:22.003300Z digest=sha256:371b6cd740284c88bd7ae070c494bd9ea608735d252097cd355128a0ce8ae1e4

Observation 013c752e-98f3-4592-a448-763ea84d5777 · outbound

This paper cites Data analysis: A Byesian tutorial (oxford science publications).

Seismic tomography using variational inference methods Data analysis: A Byesian tutorial (oxford science publications)

Reference 71

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raw_fallback, observed 2026-08-14T11:45:22.424829Z

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.

source=pdf_text observed=2026-08-14T11:45:22.008263Z digest=sha256:688ea07dd55713f74afab67f9539c5fb53dca7408f287b59626b475ba7df78b9

Observation 857077fb-ce6f-45c3-923c-1fdd7b73c289 · outbound

This paper cites Sequential Monte Carlo methods in practice.

Seismic tomography using variational inference methods Sequential Monte Carlo methods in practice

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:22.408764Z

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.

source=pdf_text observed=2026-08-14T11:45:22.013002Z digest=sha256:6c61bf63cb208badb5ec58c7f92cef92819a2b6466d29d3ba636baecde501276

Observation acafcc77-3074-4b71-9a02-a689d1436f41 · outbound

This paper cites A bound for the error in the normal approximation to the distribution of a sum of dependent random variables.

Seismic tomography using variational inference methods A bound for the error in the normal approximation to the distribution of a sum of dependent random variables

Reference 73

Resolution
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raw_fallback, observed 2026-08-14T11:45:22.392477Z

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.

source=pdf_text observed=2026-08-14T11:45:22.017528Z digest=sha256:7dd12e7b09b651a5a5045c9cf1f402df0c1282a64950b4666589ec804a958020

Observation 9aa59c00-749c-4ef1-a10b-f6748b55439b · outbound

This paper cites Inverse problem theory and methods for model parameter estimation, volume 89.

Seismic tomography using variational inference methods Inverse problem theory and methods for model parameter estimation, volume 89

Reference 74

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no resolver link, observed 2026-08-14T11:45:22.022013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:22.022013Z digest=sha256:54e565e369985087c8146a082d68c05c26c9b1730e329bf0546c00f1067edab4

Observation b3d52eb3-1003-45b2-9a00-ae7146178f0e · outbound

This paper cites Stan modeling language users guide and reference manual.

Seismic tomography using variational inference methods Stan modeling language users guide and reference manual

Reference 75

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Observation 11c6938a-1b51-408b-94de-1d002f4e6673 · outbound

This paper cites The Variational Gaussian Process.

Seismic tomography using variational inference methods The Variational Gaussian Process

Reference 76

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Observation 26484ef3-86a1-409f-94f9-3f6f3f138703 · outbound

This paper cites Identification of parametric models from experimental data.

Seismic tomography using variational inference methods Identification of parametric models from experimental data

Reference 77

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Observation f9ce2c6d-5844-4ffc-9d19-bcfe8d8cf99c · outbound

This paper cites On the precision of noise correlation interferometry.

Seismic tomography using variational inference methods On the precision of noise correlation interferometry

Reference 78

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Observation 530a0cc3-ca07-42bc-98df-1dc56a8b37c5 · outbound

This paper cites Analysis of ambient noise energy distribution and phase velocity bias in ambient noise tomography, with application to SE tibet.

Seismic tomography using variational inference methods Analysis of ambient noise energy distribution and phase velocity bias in ambient noise tomography, with application to SE tibet

Reference 79

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Observation e1b563f4-7202-482e-ae94-ed2aee0efd98 · outbound

This paper cites Transdimensional inversion of ambient seismic noise for 3D shear velocity structure of the Tasmanian crust.

Seismic tomography using variational inference methods Transdimensional inversion of ambient seismic noise for 3D shear velocity structure of the Tasmanian crust

Reference 80

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Observation ca03e4fe-0bd6-4fa5-96b2-247718da60a2 · outbound

This paper cites Fully 3D Monte Carlo ambient noise tomography over Grane field.

Seismic tomography using variational inference methods Fully 3D Monte Carlo ambient noise tomography over Grane field

Reference 81

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Observation af245f96-3197-40ad-938b-38109f83f4b0 · outbound

This paper cites Wavelet-based time-dependent travel time tomography method and its applica- tion in imaging the Etna volcano in Italy.

Seismic tomography using variational inference methods Wavelet-based time-dependent travel time tomography method and its applica- tion in imaging the Etna volcano in Italy

Reference 82

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Observation 214de7cf-39fa-43ab-91e1-4721470492dc · outbound

This paper cites 3-D Monte Carlo surface wave tomography.

Seismic tomography using variational inference methods 3-D Monte Carlo surface wave tomography

Reference 83

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Observation d1f6760a-06e3-4350-9f9d-9c68acbb0b3b · outbound

This paper cites Geophysical inverse theory and regularization problems, volume 36.

Seismic tomography using variational inference methods Geophysical inverse theory and regularization problems, volume 36

Reference 84

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Observation 6f3252af-e41f-44ca-b55a-73d1fa26a0d2 · outbound

This paper cites Transdimensional Byesian seismic ambient noise tomography across SE tibet.

Seismic tomography using variational inference methods Transdimensional Byesian seismic ambient noise tomography across SE tibet

Reference 85

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Observation 9b299058-6397-48e7-9a82-0c170dc856d1 · outbound

This paper cites Upper crustal structure of central Java, Indonesia, from transdimensional seismic ambient noise tomography.

Seismic tomography using variational inference methods Upper crustal structure of central Java, Indonesia, from transdimensional seismic ambient noise tomography

Reference 86

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Pith citing papers

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