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Paper Citation Record · LEDGER

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.22082.

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pith.paper-citation-record.v1
2507.22082 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:57:48.282094Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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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

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 534f7a49-6057-41e6-829e-03e31f411311 · outbound

This paper cites an unresolved cited work.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Unresolved cited work

Reference 1

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Observation 75392ca7-7599-4d04-84e9-979de1d87a38 · outbound

This paper cites A one-equation turbulence model for aerodynamic flows,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow A one-equation turbulence model for aerodynamic flows,

Reference 2

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Observation 8de7e5a9-81bd-4d60-bfdc-c90fdb7673d6 · outbound

This paper cites The vari- ational multiscale method—a paradigm for computational mechanics,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow The vari- ational multiscale method—a paradigm for computational mechanics,

Reference 3

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Observation 8170a220-0d26-4711-aded-fe11bfab4605 · outbound

This paper cites Neural network modeling for near wall turbulent flow,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Neural network modeling for near wall turbulent flow,

Reference 4

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Observation bf706f88-32c9-4cc2-856d-9a095b4e71b0 · outbound

This paper cites Training convolutional neural networks to estimate turbulent sub-grid scale reaction rates,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Training convolutional neural networks to estimate turbulent sub-grid scale reaction rates,

Reference 5

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Observation 7ba81a26-b064-469b-ba6a-2a0177b93b98 · outbound

This paper cites Synthetic turbulent inflow generator using machine learning,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Synthetic turbulent inflow generator using machine learning,

Reference 6

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Observation 4bcc8e09-8334-4782-9076-12ad544eaab8 · outbound

This paper cites Machine learning methods for data- driven turbulence modeling,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Machine learning methods for data- driven turbulence modeling,

Reference 7

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Observation 903a6bf4-758a-40f7-a80e-f0339334afb9 · outbound

This paper cites Deep learning in fluid dynamics,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Deep learning in fluid dynamics,

Reference 8

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Observation 832c3285-12d1-4b16-a993-d557c4c0b90a · outbound

This paper cites Super-resolution reconstruction of turbulent flows with machine learning,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Super-resolution reconstruction of turbulent flows with machine learning,

Reference 9

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Observation e9449333-40d2-4579-9b01-18907e8cfb5f · outbound

This paper cites Image super-resolution using deep convolutional networks,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Image super-resolution using deep convolutional networks,

Reference 10

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Observation 5b5757b0-6e99-4a34-b685-7d78413cbd17 · outbound

This paper cites Image super-resolution via deep recursive residual network,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Image super-resolution via deep recursive residual network,

Reference 11

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Source-reported events for the cited work

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Observation 95acfb55-338d-4b91-b203-49021d5511fc · outbound

This paper cites Enhanced deep residual networks for single image super-resolution,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Enhanced deep residual networks for single image super-resolution,

Reference 12

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Observation cadf2c7e-695c-4f0b-bc9c-bd6392fc4eaa · outbound

This paper cites Accelerating the super-resolution convolutional neural network,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Accelerating the super-resolution convolutional neural network,

Reference 13

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Observation bf7c92ab-a645-412f-a28d-d4c50c69d250 · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Photo-realistic single image super-resolution using a generative adversarial network,

Reference 14

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Source-reported events for the cited work

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Observation bffc860a-abac-48c2-9e97-177e73817694 · outbound

This paper cites Generative adversarial nets,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Generative adversarial nets,

Reference 15

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Observation f33f6249-eab0-4b30-83f1-20b8d86077c7 · outbound

This paper cites Super-resolution reconstruction of turbulent velocity fields using a generative adversarial network-based artificial intelligence framework,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Super-resolution reconstruction of turbulent velocity fields using a generative adversarial network-based artificial intelligence framework,

Reference 16

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Observation 32ce3701-64d9-4828-80d7-46d5cdda9809 · outbound

This paper cites Data-driven three-dimensional super-resolution imaging of a turbulent jet flame using a generative adversarial network,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Data-driven three-dimensional super-resolution imaging of a turbulent jet flame using a generative adversarial network,

Reference 17

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Observation da953359-ed6e-43e6-ac3b-5bdfd17040cc · outbound

This paper cites Turbulence enrichment with physics-informed generative adversarial network.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Turbulence enrichment with physics-informed generative adversarial network

Reference 18

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Observation 920602f5-bf86-4c14-bf59-034dd67d64d6 · outbound

This paper cites Variational Multi-scale Super-resolution : A data-driven approach for reconstruction and predictive modeling of unresolved physics.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Variational Multi-scale Super-resolution : A data-driven approach for reconstruction and predictive modeling of unresolved physics

Reference 19

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Observation 4262ba22-6034-4cd6-85b3-7107faba514d · outbound

This paper cites Petascale direct numerical simulation of turbulent channel flow on up to 786k cores,.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Petascale direct numerical simulation of turbulent channel flow on up to 786k cores,

Reference 20

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Observation f2683a55-7e6e-403a-8fff-a42f5c709fc8 · outbound

This paper cites Learning with a Wasserstein Loss.

Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow Learning with a Wasserstein Loss

Reference 21

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