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Paper Citation Record · LEDGER

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.07923.

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

pith.paper-citation-record.v1
2506.07923 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:58.922026Z

measured 54 of 54 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0870e103-9601-48d6-bb82-342223a0ef62 · outbound

This paper cites Five-dimensional interpolation: Recovering from ac- quisition constraints,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Five-dimensional interpolation: Recovering from ac- quisition constraints,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6329fa32-cfe1-4016-9cf7-3ee7d5dc1ce0 · outbound

This paper cites Seismic trace interpolation in the fx domain,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic trace interpolation in the fx domain,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6fbe65af-524c-418d-acdd-8674f062d20d · outbound

This paper cites Seismic trace interpolation in the f-x-y domain,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic trace interpolation in the f-x-y domain,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5a167568-575c-43ee-9edb-6edb31d3c306 · outbound

This paper cites 5d dealiased seismic data interpolation using nonstationary prediction-error filter,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model 5d dealiased seismic data interpolation using nonstationary prediction-error filter,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation af51e381-75e1-4e47-9d1a-bd2761901306 · outbound

This paper cites Wave-equation trace interpolation,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Wave-equation trace interpolation,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 896b98e4-ac77-4055-a8a0-d1b9425ef76a · outbound

This paper cites Applications of plane-wave destruction filters,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Applications of plane-wave destruction filters,

Reference 6

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raw_fallback, observed 2026-08-07T05:29:10.916839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ac332eef-cc4d-4222-a8e8-eaffb4899726 · outbound

This paper cites Interpolation and extrapolation using a high-resolution discrete fourier transform,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Interpolation and extrapolation using a high-resolution discrete fourier transform,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:10.690472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 30ae97c9-55b9-423c-82db-46624fa5b9eb · outbound

This paper cites Fourier reconstruction of nonuni- formly sampled, aliased seismic data,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Fourier reconstruction of nonuni- formly sampled, aliased seismic data,

Reference 8

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raw_fallback, observed 2026-08-07T05:29:10.469835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 61df8254-0211-4cfc-ab37-728ec8d86a6e · outbound

This paper cites Fourier reconstruction with sparse inversion,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Fourier reconstruction with sparse inversion,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d1ac4bd3-01a5-41db-b462-910bd6586326 · outbound

This paper cites Beyond alias hierarchical scale curvelet interpolation of regularly and irregularly sampled seismic data,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Beyond alias hierarchical scale curvelet interpolation of regularly and irregularly sampled seismic data,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fe0a1efd-7509-4ef2-bed5-daf109c0edf5 · outbound

This paper cites Application of randomized sampling schemes to curvelet-based sparsity- promoting seismic data recovery,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Application of randomized sampling schemes to curvelet-based sparsity- promoting seismic data recovery,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 395348a7-761a-4a45-823a-7f1af88a50d4 · outbound

This paper cites Seismic data interpolation by greedy local radon transform,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data interpolation by greedy local radon transform,

Reference 12

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raw_fallback, observed 2026-08-07T05:29:09.587920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:55.478226Z digest=sha256:204b055f16b7071410ade5f0a55d81f5b6384941aa75f3848ad4f30be27b8b97

Observation 22939f9a-9d03-4a63-997e-cc6f248ae9a9 · outbound

This paper cites Rank-reduction-based trace interpolation,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Rank-reduction-based trace interpolation,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 43bc5f7c-ddf0-4f83-a52c-bfa61e9132e2 · outbound

This paper cites Three-dimensional irregular seismic data reconstruction via low-rank matrix completion,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Three-dimensional irregular seismic data reconstruction via low-rank matrix completion,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b5c0bd37-4bfa-4e9a-a414-f29e8471c974 · outbound

This paper cites Faultseg3d: Using synthetic data sets to train an end-to-end convolutional neural network for 3d seismic fault segmentation,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Faultseg3d: Using synthetic data sets to train an end-to-end convolutional neural network for 3d seismic fault segmentation,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:55.713956Z digest=sha256:3ccd46948f498a0c4f578bd88d7563ccd2b1d3a779f0434c1f984f109e6f7397

Observation c8fcec40-dc52-4b13-8df6-6cbcb85bc99e · outbound

This paper cites Quadratic unet for seismic random noise attenuation,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Quadratic unet for seismic random noise attenuation,

Reference 16

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raw_fallback, observed 2026-08-07T05:29:08.941914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:55.815383Z digest=sha256:076fd42b4c057888fb002b83107a9d4bae2b9241095f28250cb4be9b89a16616

Observation 5eee8527-c7c4-4245-82df-94d995e78377 · outbound

This paper cites Upnet: Uncertainty-based picking deep learning network for robust first break picking,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Upnet: Uncertainty-based picking deep learning network for robust first break picking,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:55.901940Z digest=sha256:b3f2b4a22a9d2529141bad11d0b1d03206b14ab17c3e8a95ff4d237c59efa4e8

Observation dc3ab161-c748-4343-b184-61898411fcf9 · outbound

This paper cites Seismic data interpolation through convolutional autoencoder,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data interpolation through convolutional autoencoder,

Reference 18

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raw_fallback, observed 2026-08-07T05:29:08.419732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:55.988200Z digest=sha256:7e2763cdd62860e312725f2f5897b14aa379ab42ac8a77f181f91b9ba42ce8f3

Observation 935643aa-3c6c-4f15-9511-787ebf158618 · outbound

This paper cites Self-supervised learning for seismic data reconstruction and denoising,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Self-supervised learning for seismic data reconstruction and denoising,

Reference 19

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raw_fallback, observed 2026-08-07T05:29:08.015129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.099488Z digest=sha256:d95b184e96c39f39238f849f3f0960cc3aca5197565f3f8a1f250fd7252dd09a

Observation fa33f5ad-0706-4205-a431-9c5a40e5430d · outbound

This paper cites Reconstruction of sparsely sampled seismic data via residual u-net,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Reconstruction of sparsely sampled seismic data via residual u-net,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:07.721305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.181417Z digest=sha256:937b79f1b75e367096646f44e6a3b22ce489aeeee729e7b2d1b373f139b586a7

Observation 87b6639e-1ce5-4661-9f8b-f52856d7acbe · outbound

This paper cites Seismic data interpo- lation based on u-net with texture loss,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data interpo- lation based on u-net with texture loss,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:07.394747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.249608Z digest=sha256:d553094ade724a0043884c2e0cf273e9b6bb548591e65e596612be05de4eb647

Observation a837c3cc-3242-4f8a-89fa-c765cd2ba761 · outbound

This paper cites A partial convolution-based deep-learning network for seismic data regularization,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model A partial convolution-based deep-learning network for seismic data regularization,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:06.991715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.318851Z digest=sha256:9abfb8a834af8012d3e91ce1ef0cf18a6e8f140535ff41e1a3f1d76dea5c4784

Observation fa8b8cf5-f3ba-4f3b-85e6-b23d9ccd107d · outbound

This paper cites Seismic data reconstruction via wavelet-based residual deep learning,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data reconstruction via wavelet-based residual deep learning,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:06.698543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.395172Z digest=sha256:3c3dff347f318134498fbb4f3f6ceadc8bacec2daef5d2c5d2da94c988ee6b9b

Observation 9b49785a-f5ee-4fb4-b3db-7585c27e2417 · outbound

This paper cites Seismic data interpolation using CycleGAN,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data interpolation using CycleGAN,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:06.471420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.472486Z digest=sha256:254068eeb2d0b683ced0a9d918a77488d9b1412328ee3c00fa9f3140521ea218

Observation 6d5dbeac-8ec8-4bf7-86d7-c1e406bd302a · outbound

This paper cites Big gaps seismic data interpolation using conditional Wasserstein generative adversarial networks with gradient penalty,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Big gaps seismic data interpolation using conditional Wasserstein generative adversarial networks with gradient penalty,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:06.141762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.591214Z digest=sha256:b939e36a3522dd729c62babdc9b08a5491e6e1a635c3708df3df105d25d2b6a0

Observation 5c1c89dc-cbe1-4fd3-98d3-29e9a97d264b · outbound

This paper cites Ensemble deep learning for enhanced seismic data reconstruction,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Ensemble deep learning for enhanced seismic data reconstruction,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:05.795482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.657629Z digest=sha256:b9d2c79ef3bc8d06481efbd0e52e766832f65e628a7230a215f1d81d5eaf0d7b

Observation 0ab96345-5ea5-48e7-9fca-8ee63e59c45c · outbound

This paper cites Seismic data consecutively missing trace interpolation based on multistage neural network training process,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data consecutively missing trace interpolation based on multistage neural network training process,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:05.633764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.735077Z digest=sha256:5868ef639b72e817ba096a12d400501568dc831a36c28d3978096773461b3937

Observation a5a1923e-14c3-4dfd-86cd-a5ea958cb395 · outbound

This paper cites Self-supervised simul- taneous deblending and interpolation of incomplete blended data using a multistep blind-trace u-net,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Self-supervised simul- taneous deblending and interpolation of incomplete blended data using a multistep blind-trace u-net,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:05.436204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.844768Z digest=sha256:cc9d7fdfbea9301e4205deab5f492d69ac775d9e2dc01b1e420e35d5017fde00

Observation 7f9ea9ac-9d84-4b89-b3b7-2fce91777b43 · outbound

This paper cites Seismic data reconstruction via recurrent residual multiscale inference,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data reconstruction via recurrent residual multiscale inference,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:05.194254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.910047Z digest=sha256:c757dd71f1274e1df720d8984493565457276eff0cd3fdb78eabde386b2542e5

Observation dd57aa9c-80c3-4813-a96b-ca8e58b7005e · outbound

This paper cites Seismic data interpolation using dual-domain conditional generative adversarial networks,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data interpolation using dual-domain conditional generative adversarial networks,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:04.892682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:56.991862Z digest=sha256:de816bda6adf410679099afc6e1859b716ad9a7407e6d704324ab173cf848af1

Observation d042abbd-3552-4542-9d01-71d35769e4cc · outbound

This paper cites Hybrid loss-guided coarse-to-fine model for seismic data consecutively missing trace reconstruction,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Hybrid loss-guided coarse-to-fine model for seismic data consecutively missing trace reconstruction,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:04.638460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:57.140464Z digest=sha256:bfcc9a6043a251a56cf3cf8d32a77972ab06cb65dc2e3365d02422fc797e2c8d

Observation 22da0313-ed4c-4211-b8d8-5e1662fc1124 · outbound

This paper cites Attention and hybrid loss guided deep learning for consecutively missing seismic data reconstruction,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Attention and hybrid loss guided deep learning for consecutively missing seismic data reconstruction,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:04.333964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:57.257756Z digest=sha256:60793176f8031f804727acea2a00aa8684fb54d56eb9e236dfeec3b23151c1eb

Observation 4eadf05a-aeea-43e9-80bd-b82e7cba7e8c · outbound

This paper cites Self-attention generative ad- versarial network interpolating and denoising seismic signals simultaneously,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Self-attention generative ad- versarial network interpolating and denoising seismic signals simultaneously,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T05:29:04.052384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 13d201be-848e-480b-844a-adb78593ef23 · outbound

This paper cites Seismic impedance inversion based on residual attention network,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic impedance inversion based on residual attention network,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation da809716-5891-434e-b514-d742440ffbb0 · outbound

This paper cites Seismic data interpolation based on multi-scale transformer,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data interpolation based on multi-scale transformer,

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 10170394-d7ba-47b1-8416-e72548c400eb · outbound

This paper cites Can learning from natural image denoising be used for seismic data interpolation?.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Can learning from natural image denoising be used for seismic data interpolation?

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:03.358029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1f16f06c-ae3f-4c4a-b3f8-c5b75e5db255 · outbound

This paper cites A projection-onto-convex-sets network for 3d seismic data interpolation,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model A projection-onto-convex-sets network for 3d seismic data interpolation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:03.084718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f5b2aaa5-2c5b-4d3a-b3f4-d9d022ae283a · outbound

This paper cites Physics- informed neural networks: A deep learning framework for solv- ing forward and inverse problems involving nonlinear partial differential equations,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Physics- informed neural networks: A deep learning framework for solv- ing forward and inverse problems involving nonlinear partial differential equations,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:57.667968Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:57.667968Z digest=sha256:2fb59a0f1e9b37c966a43de8cc3daa051be67eb0c20e1d3ac1cb051320efcb06

Observation 5dbb9d4a-7188-4b8f-ae12-e46d4987f6dc · outbound

This paper cites PINNslope: seis- JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 14 mic data interpolation and local slope estimation with physics informed neural networks,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model PINNslope: seis- JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 14 mic data interpolation and local slope estimation with physics informed neural networks,

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9a3a06e3-6298-4e5c-815d-0b6511aeae68 · outbound

This paper cites Deep diffusion models for seismic processing,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Deep diffusion models for seismic processing,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:02.477147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 607d2747-ca06-4817-9287-ff1be8f3b84a · outbound

This paper cites Generative interpolation via a diffusion probabilistic model,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Generative interpolation via a diffusion probabilistic model,

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d390af43-f099-4eb5-8b4f-7ac8d80b1e89 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:01.872855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0fd823a1-3907-4afe-b016-8ace7d90e2c1 · outbound

This paper cites Seismic data interpolation via denoising diffusion implicit models with coherence-corrected resampling,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data interpolation via denoising diffusion implicit models with coherence-corrected resampling,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:01.567817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2989d409-d0ec-4cf4-b98a-f2e0486fa26b · outbound

This paper cites Stochastic solutions for simultaneous seismic data denoising and reconstruction via score-based generative models,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Stochastic solutions for simultaneous seismic data denoising and reconstruction via score-based generative models,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:01.287779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b2df8711-f32a-456d-bb18-bedaa44af54d · outbound

This paper cites Seismic data reconstruction based on conditional constraint diffusion model,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seismic data reconstruction based on conditional constraint diffusion model,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:00.978356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b9e694cb-2ad6-4902-9c5d-5845f5c34568 · outbound

This paper cites Seisfusion: Constrained diffusion model with input guidance for 3-d seismic data interpolation and reconstruction,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Seisfusion: Constrained diffusion model with input guidance for 3-d seismic data interpolation and reconstruction,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:00.726399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2c579cb0-38ee-423a-b91b-c55929b25d67 · outbound

This paper cites Re- constructing regularly missing seismic traces with a classifier- guided diffusion model,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Re- constructing regularly missing seismic traces with a classifier- guided diffusion model,

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8ce2678e-7a6b-4bbd-bab5-3a506f850e90 · outbound

This paper cites Denoising diffusion probabilistic models,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Denoising diffusion probabilistic models,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:58.402846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e47d4f3-1b11-4c2b-ab92-de69e969b79d · outbound

This paper cites Diffir: Efficient diffusion model for image restoration,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Diffir: Efficient diffusion model for image restoration,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:29:00.034133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 199aef44-0f17-4369-9ce2-cdde4d9489fd · outbound

This paper cites Attention is all you need,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Attention is all you need,

Reference 50

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:58.596419Z digest=sha256:fa1896096fed6fe5cb39052dc10d9bd305b26767226a4c902e078f175b60982d

Observation 7ba60027-0ff5-4779-97ff-6216d297dc35 · outbound

This paper cites Sparse self-attention transformer for image inpainting,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Sparse self-attention transformer for image inpainting,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:59.738978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dda130c3-6b42-4daa-ba67-5ae17532d168 · outbound

This paper cites Rethinking space- time networks with improved memory coverage for efficient video object segmentation,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Rethinking space- time networks with improved memory coverage for efficient video object segmentation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:59.435616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:28:58.766131Z digest=sha256:ba61a019160a58bca8da2ab0071384f023cc13599f9f53376f4b13ca5882eea6

Observation a7f75f3c-ece8-4aaf-bb9e-63a9992d9886 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Image quality assessment: from error visibility to structural similarity,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:58.835168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:58.835168Z digest=sha256:94c99d7c5f7576ff93dd9577fe512cf737c2ad5c0cdf1f740366aed96b12d568

Observation 6cb5433f-6128-40e0-997c-1870859cf8b5 · outbound

This paper cites Regeneration-constrained self-supervised seismic data interpo- lation,.

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model Regeneration-constrained self-supervised seismic data interpo- lation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:59.163801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

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