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Paper Citation Record · LEDGER

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2606.03572.

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

pith.paper-citation-record.v1
2606.03572 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:28:26.968075Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:53:01.012543Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T16:17:08.958424Z

Reference resolution

32 of 32 outbound references displayed

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No source-named external measurement is stored.

Outbound references

Observation d7a33bff-f4b7-4ebe-9dee-2a546861b955 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 1

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Observation 43dd4931-56a1-49bb-8c57-5a7f2afc46a8 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Align your latents: High-resolution video synthesis with latent diffusion models

Reference 2

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Observation 191bb362-b9d4-4398-8967-d4f2558ab2f2 · outbound

This paper cites Unsupervised seismic acoustic impedance inversion based on generative diffusion model.Geophysics, 90(4): M109–M121, 2025.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Unsupervised seismic acoustic impedance inversion based on generative diffusion model.Geophysics, 90(4): M109–M121, 2025

Reference 3

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Observation 19a46850-9852-4b8d-8d7f-52b153e9d553 · outbound

This paper cites F3 Demo Dataset.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion F3 Demo Dataset

Reference 4

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Observation 50bb0a61-d370-45ce-b259-bb5227167d40 · outbound

This paper cites Channelseg3d: Channel simulation and deep learning for channel interpretation in 3d seismic images.Geophysics, 86(4):IM73–IM83, 2021.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Channelseg3d: Channel simulation and deep learning for channel interpretation in 3d seismic images.Geophysics, 86(4):IM73–IM83, 2021

Reference 5

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Observation 9fad0874-a522-469e-bf84-f0a4e7ddf988 · outbound

This paper cites Fault detection on seismic structural images using a nested residual u-net.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2021.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Fault detection on seismic structural images using a nested residual u-net.IEEE Transactions on Geoscience and Remote Sensing, 60:1–15, 2021

Reference 6

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Observation 51dddd86-5d8a-45e7-896b-753e0b9ba119 · outbound

This paper cites Seedance 1.0: Exploring the Boundaries of Video Generation Models.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Seedance 1.0: Exploring the Boundaries of Video Generation Models

Reference 7

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Observation 4b604cf2-e5e3-435d-895a-d6cd96e4eb3f · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 8

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Observation 9f71e0a1-1f00-433b-bf5b-22aae0ec55dc · outbound

This paper cites High-fidelity seismic super-resolution using prior-informed deep learning with 3d awareness.IEEE Transactions on Image Processing, 2026.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion High-fidelity seismic super-resolution using prior-informed deep learning with 3d awareness.IEEE Transactions on Image Processing, 2026

Reference 9

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Observation 85416d58-ab32-4663-895e-6e0a5a9506f7 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Gligen: Open-set grounded text-to-image generation

Reference 10

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Observation 018b771d-2b21-4994-837b-f3868fd3bfd1 · outbound

This paper cites Improving vertical resolution of vintage seismic data by a weakly supervised method based on cycle generative adversarial network.Geophysics, 88(6):V445–V458, 2023.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Improving vertical resolution of vintage seismic data by a weakly supervised method based on cycle generative adversarial network.Geophysics, 88(6):V445–V458, 2023

Reference 11

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Observation a7e42e8e-ad54-43f9-ae3e-de11ed4f1e9b · outbound

This paper cites Seismic random noise attenua- tion based on non-iid pixel-wise gaussian noise modeling.IEEE Transactions on Geoscience and Remote Sensing, 60:1–16, 2022.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Seismic random noise attenua- tion based on non-iid pixel-wise gaussian noise modeling.IEEE Transactions on Geoscience and Remote Sensing, 60:1–16, 2022

Reference 12

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Observation c99d6192-211a-4e08-b291-ac33842e13dd · outbound

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GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation f61982d8-85e4-46c8-a66e-16efc1819342 · outbound

This paper cites Posterior sampling for random noise attenuation via score-based generative models.Geophysics, 90(2):V83–V95,.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Posterior sampling for random noise attenuation via score-based generative models.Geophysics, 90(2):V83–V95,

Reference 14

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Observation df37d156-6dde-45d4-8048-ed2b645e2578 · outbound

This paper cites Synthetic seismic data for training deep learning networks.Interpretation, 10(3):SE31–SE39, 2022.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Synthetic seismic data for training deep learning networks.Interpretation, 10(3):SE31–SE39, 2022

Reference 15

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Observation 4e83f690-a2fc-4344-b965-20475ad37872 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 16

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Observation f07eeec7-2d75-41d9-bb95-3457c19d66d9 · outbound

This paper cites Scaling the subsurface: Deep generative synthesis of 3d seismic properties.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Scaling the subsurface: Deep generative synthesis of 3d seismic properties

Reference 17

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Observation 1a25fc95-b121-4740-8673-2732ad260ce9 · outbound

This paper cites Iterative gradient corrected semi-supervised seismic impedance inversion via swin transformer.IEEE Transactions on Geoscience and Remote Sensing, 2025.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Iterative gradient corrected semi-supervised seismic impedance inversion via swin transformer.IEEE Transactions on Geoscience and Remote Sensing, 2025

Reference 18

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Observation 314eb3da-48d9-47d3-aa5f-d9aafe48738a · outbound

This paper cites An image synthesizer.ACM Siggraph Computer Graphics, 19(3):287–296, 1985.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion An image synthesizer.ACM Siggraph Computer Graphics, 19(3):287–296, 1985

Reference 19

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Observation 1f1a6741-53a8-4e16-8582-44ec62069de1 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion High- resolution image synthesis with latent diffusion models

Reference 20

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Observation 2fe11987-1af7-47e8-b01f-b7b2c38ebca6 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Wan: Open and Advanced Large-Scale Video Generative Models

Reference 21

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Observation 767af3a9-a73e-4d37-a929-3ae31d39c173 · outbound

This paper cites Well-logging constrained seismic inversion based on closed-loop convolutional neural network.IEEE Transactions on Geoscience and Remote Sensing, 58(8):5564–5574, 2020.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Well-logging constrained seismic inversion based on closed-loop convolutional neural network.IEEE Transactions on Geoscience and Remote Sensing, 58(8):5564–5574, 2020

Reference 22

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Observation ec43c1d1-c1cf-429d-a9b4-26a65a942687 · outbound

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

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Faultseg3d: Using synthetic data sets to train an end-to-end convolutional neural network for 3d seismic fault segmentation

Reference 23

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Observation e26d632d-7ec6-4b41-b783-66fbb3704f47 · outbound

This paper cites Building realistic structure models to train convolutional neural networks for seismic structural interpretation.Geophysics, 85(4):W A27–W A39, 2020.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Building realistic structure models to train convolutional neural networks for seismic structural interpretation.Geophysics, 85(4):W A27–W A39, 2020

Reference 24

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Observation c199c0b4-e866-4060-8fa2-d86c940421c5 · outbound

This paper cites Deep learning for multidimensional seismic impedance inversion.Geophysics, 86(5):R735–R745, 2021.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Deep learning for multidimensional seismic impedance inversion.Geophysics, 86(5):R735–R745, 2021

Reference 25

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Observation e0190ec3-c29b-4993-88ad-063bdf2abe92 · outbound

This paper cites Seismic resolution enhancement using physics-assisted seismic deconvolution network and domain adaptation.Geophysics, 90(3):R113–R125, 2025.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Seismic resolution enhancement using physics-assisted seismic deconvolution network and domain adaptation.Geophysics, 90(3):R113–R125, 2025

Reference 26

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Observation fc3cfee4-d7ee-4fc6-8c23-14b0e89b1555 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Adding conditional control to text-to-image diffusion models

Reference 27

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Observation a9eea6f6-fc8b-4a8f-b894-5946ca22b680 · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion The unrea- sonable effectiveness of deep features as a perceptual metric

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Observation baee5021-55c5-48e4-ab3d-f6bbb626b805 · outbound

This paper cites Deep-learning full-waveform inversion using seismic migration images.IEEE Transactions on Geoscience and Remote Sensing, 60:1–18, 2021.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Deep-learning full-waveform inversion using seismic migration images.IEEE Transactions on Geoscience and Remote Sensing, 60:1–18, 2021

Reference 29

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Observation bb41c38b-ace7-4d38-86a6-64e1961b525b · outbound

This paper cites Adjoint-driven deep-learning seismic full-waveform inversion.IEEE Transactions on Geoscience and Remote Sensing, 59 (10):8913–8932, 2020.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Adjoint-driven deep-learning seismic full-waveform inversion.IEEE Transactions on Geoscience and Remote Sensing, 59 (10):8913–8932, 2020

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Observation c48dafec-10ad-458e-b88e-99c44573253b · outbound

This paper cites Regularized elastic full-waveform inversion using deep learning.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Regularized elastic full-waveform inversion using deep learning

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Observation 2520f1d7-2589-4ec6-8664-75df9b7f29f3 · outbound

This paper cites Ca-diffseg: Cross- attention guided diffusion model for seismic facies segmentation.IEEE Transactions on Geoscience and Remote Sensing, 64:1–15, 2026.

GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion Ca-diffseg: Cross- attention guided diffusion model for seismic facies segmentation.IEEE Transactions on Geoscience and Remote Sensing, 64:1–15, 2026

Reference 32

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Pith citing papers

Observation f20448ed-53f5-4da1-9620-5cb28d8d1895 · inbound

Multi-Condition Guided Diffusion Model for Controllable Elastic Parameter Synthesis cites this paper.

Multi-Condition Guided Diffusion Model for Controllable Elastic Parameter Synthesis GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion

Reference 31

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