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Paper Citation Record · LEDGER

Efficient Seismic Data Interpolation via Sparse Attention Transformer and Diffusion Model

As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.07923.

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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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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

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 2026-08-20T06:33:59.587034+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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raw_fallback, observed 2026-08-07T05:29:11.976957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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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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 2026-08-20T06:33:59.587034+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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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raw_fallback, observed 2026-08-07T05:29:09.984005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:55.478226Z digest=sha256:52f83770f793ede6e74296f2091ae7461fd3cf40046eecd2691f9efc71504063

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:55.574341Z digest=sha256:f1fe7657aef0b2d13ee4b2e7f63b67e3fa4b932e8cb3e81adc326ee36f148a45

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:55.713956Z digest=sha256:1c99f87011583025b7b25dc4e65dd2fc23d97d837bfeb315cafbee39c371ad49

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:55.815383Z digest=sha256:1328a37eabe17d5adba7928c4ad6b8ada277932f64c9d66c440c252abc2b8c14

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:55.901940Z digest=sha256:366d4680bc2ad6563af6b5a3cd27f1c82323277bb4ea3b720db0498b7d2ad0b4

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:55.988200Z digest=sha256:e104a926df1e112016c5745841de2b06d843a32ded694696d0996ebb18e4a1b5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.099488Z digest=sha256:96f31a26c9bfe143f15ce836822c57d3f7c0282681a248678acad275cbf68931

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.181417Z digest=sha256:e4d14f103d6a3178e7d9ed905d4edb5acb0ddc95333cf03f62eaf84c4caf267a

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.249608Z digest=sha256:99902c9c36477719eca37a224024b3fdbee8f57fd0ba45ed34106d15f276eace

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.318851Z digest=sha256:4272d3b34398fc03b9db3bdf251f7492725d9f10ed7f435f5fffd6422fa07d80

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.395172Z digest=sha256:b5c246997e689f08eff67d6c5ea1fb3953f0371e2fc9d9a06d4175b4a0a0098b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.472486Z digest=sha256:11caaec8b3b57f7e77e305889c97c474e1d2fe9d19908ed08cb6d7202bf24d30

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.591214Z digest=sha256:f127613ba02581c9fb41757bedb1b127dde6dda61f57c0717ebe1d3195817f43

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.657629Z digest=sha256:6756ebbf70c51d9ed04dfe353cf4fbed26ae46c656e7b40f385954a9f977d709

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.735077Z digest=sha256:a6672f973cff39d9f2d80786e2488e8dc124d8dda5da7822eac8bf3e792a397e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.844768Z digest=sha256:7ab4378fe32098a7a4a713b3d3c8d3c98a4d877ac27f9ed4124bb4ffdcb10d76

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.910047Z digest=sha256:56f0c4b728ed5f543085b864c05e07efc1cfed16011ba65521cc95b2717fc713

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:56.991862Z digest=sha256:3b8453c5cd6881e4116013376f4237cd76f331b1b992802cdd1b5bc48c3ade69

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:57.140464Z digest=sha256:635fb1e02ffdd1f16051ddab7ee80e278d516b8f3c85188f499b80499f421fc6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:57.257756Z digest=sha256:8a19177741665e720bfc185566654666a8cecb25436123d37a7475e9c9e24bdd

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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
raw_fallback, observed 2026-08-07T05:29:03.584263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:57.626010Z digest=sha256:fdc1cb4428d68b77cb6f4834f5f1cc027ea97e3ba00e18f2bf9a1e565d469510

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

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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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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
raw_fallback, observed 2026-08-07T05:29:02.205636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:57.886986Z digest=sha256:8b0228271c8a25051915a698489cda67806db05ae65b0bdf25183a0a41988ea5

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:58.045047Z digest=sha256:fd6711315b67ef47d9da14efbdee74691ed94ed3acfabaa3e1e77b338e3b9adf

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:58.402846Z digest=sha256:f9dfe794307822b2905c89078b0b2b65731f283607ede26b65bc0eb74be7d6d2

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 2026-08-20T06:33:59.587034+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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:58.653071Z digest=sha256:3b74e53673dcc5f3d397e4435bb3fdcfe6e647850f455fb3b72a63d122e63bcb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:28:58.766131Z digest=sha256:6b9c063156410ea085f43fc460c08ee5bbc12aad5c9ca3a8185b840711228830

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 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

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