Paper Citation Record · LEDGER

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.08969.

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

pith.paper-citation-record.v1
2607.08969 v1

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measured 40 of 40 reference resolution

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Outbound references

Observation 294c97f1-bca4-41fc-8462-a0371cccf374 · outbound

This paper cites V., & Carlsson, M.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations V., & Carlsson, M

Reference 1

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This paper cites 2010, Astronomische Nachrichten, 331, 636, doi: 10.1002/asna.201011390.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2010, Astronomische Nachrichten, 331, 636, doi: 10.1002/asna.201011390

Reference 2

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Observation 7099c2d0-934b-4c6f-9e67-7a9567af858d · outbound

This paper cites J., & Zwinderman, A.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations J., & Zwinderman, A

Reference 3

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Observation c31f6d54-441a-4997-adec-beaa33968462 · outbound

This paper cites J., & Altman, D.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations J., & Altman, D

Reference 4

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Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Unresolved cited work

Reference 5

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Observation ab10d8a9-3a15-4284-aae5-f5302ff48919 · outbound

This paper cites V., Carlsson, M., Hansteen, V.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations V., Carlsson, M., Hansteen, V

Reference 6

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Observation 4d55d1fd-813c-4569-8fca-f834df7fd671 · outbound

This paper cites R., Millman, K.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations R., Millman, K

Reference 7

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Observation 2e0f1a8d-787b-4b78-a29e-6072408a7c2a · outbound

This paper cites 2015, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 1026–1034, doi: 10.1109/ICCV.2015.123.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2015, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 1026–1034, doi: 10.1109/ICCV.2015.123

Reference 8

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Observation 9f2f7eb5-2226-4dcc-addb-52a6cedb1bea · outbound

This paper cites 2016, in Proceedings of the IEEE conference on computer vision and pattern recognition, 770–778, doi: 10.1109/CVPR.2016.90.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2016, in Proceedings of the IEEE conference on computer vision and pattern recognition, 770–778, doi: 10.1109/CVPR.2016.90

Reference 9

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Observation 76259733-60f4-4294-9cef-a9d1321a88a5 · outbound

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Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Unresolved cited work

Reference 10

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Observation 5a1b1e78-2e86-4732-938f-3020545b2aa9 · outbound

This paper cites an unresolved cited work.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Unresolved cited work

Reference 11

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Observation e252fd51-1dd0-452e-a689-837ca2d627d0 · outbound

This paper cites I., Huang, C., Sitdikov, I., et al.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations I., Huang, C., Sitdikov, I., et al

Reference 12

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Observation 2f8f1b51-6588-4f02-862d-57360adf1fe1 · outbound

This paper cites 2022, Monthly Weather Review, 150, 2279 , doi: 10.1175/MWR-D-21-0217.1.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2022, Monthly Weather Review, 150, 2279 , doi: 10.1175/MWR-D-21-0217.1

Reference 13

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Observation 6665ac74-3502-4db5-84ab-dce2d5e7918d · outbound

This paper cites an unresolved cited work.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Unresolved cited work

Reference 14

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Observation 4abbd419-4753-4d2f-bc05-895d800ef873 · outbound

This paper cites N., Abramenko, V.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations N., Abramenko, V

Reference 15

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Observation da74f9bc-199f-4a0e-80b5-f91ef9813e7e · outbound

This paper cites N., Couvidat, S., & Lagg, A.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations N., Couvidat, S., & Lagg, A

Reference 16

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Observation 5c5f3a3c-84de-41fe-aea7-1624913d259c · outbound

This paper cites N., Kosovichev, A.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations N., Kosovichev, A

Reference 17

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Observation 07862680-cd76-4efd-9a3d-6674caf13e5b · outbound

This paper cites M., & Guerrero, G.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations M., & Guerrero, G

Reference 18

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Observation c7108bcc-03fb-4376-b9ae-67088443f4ea · outbound

This paper cites L., Hannun, A.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations L., Hannun, A

Reference 19

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Observation 47cedb36-f4b3-4167-bdda-ba30beccb9bb · outbound

This paper cites S., & Cabot, W.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations S., & Cabot, W

Reference 20

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Observation 6d377e41-c40f-4593-bdc7-23658d565b8f · outbound

This paper cites 2022, Astronomy & Astrophysics, 663, A96, doi: 10.1051/0004-6361/202243439.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2022, Astronomy & Astrophysics, 663, A96, doi: 10.1051/0004-6361/202243439

Reference 21

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Observation 9ff0bfdf-2d4c-4fda-ba8d-a8086f12477b · outbound

This paper cites 1985, Solar Physics, 100, 209, doi: 10.1007/BF00158429.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 1985, Solar Physics, 100, 209, doi: 10.1007/BF00158429

Reference 22

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Observation 90903948-aa4f-4e0e-8e27-9e9fcc23df45 · outbound

This paper cites D., & Marshall, G.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations D., & Marshall, G

Reference 23

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Observation b55edfe6-03b4-498d-a985-055d63595a0c · outbound

This paper cites Reynolds Stress Modeling Using Data Driven Machine Learning Algorithms.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Reynolds Stress Modeling Using Data Driven Machine Learning Algorithms

Reference 24

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Observation 7b454eb0-5ae5-4c05-813d-557218709c04 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 25

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This paper cites 2011, Journal of Machine Learning Research, 12, 2825, doi: 10.5555/1953048.2078195.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2011, Journal of Machine Learning Research, 12, 2825, doi: 10.5555/1953048.2078195

Reference 26

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Observation 77b64bc0-4b28-4ea8-862a-82d74159ac79 · outbound

This paper cites 2020, pandas-dev/pandas: Pandas, doi: 10.5281/zenodo.3509134.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2020, pandas-dev/pandas: Pandas, doi: 10.5281/zenodo.3509134

Reference 27

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This paper cites 2018, The Astrophysical Journal, 859, 161, doi: 10.3847/1538-4357/aabba0.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2018, The Astrophysical Journal, 859, 161, doi: 10.3847/1538-4357/aabba0

Reference 28

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Observation 5cfd2423-450f-43a5-a1a3-6dcdebb857e1 · outbound

This paper cites R., Warner, M., Keil, S.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations R., Warner, M., Keil, S

Reference 29

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This paper cites M., Kitiashvili, I.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations M., Kitiashvili, I

Reference 30

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Observation 38b56560-0a77-4437-9cff-c1916e5d76e2 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 31

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This paper cites 1963, Monthly Weather Review, 91, 99, doi: 10.1175/1520-0493(1963)091⟨0099: GCEWTP⟩2.3.CO;2.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 1963, Monthly Weather Review, 91, 99, doi: 10.1175/1520-0493(1963)091⟨0099: GCEWTP⟩2.3.CO;2

Reference 32

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This paper cites F., & Nordlund, ˚A.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations F., & Nordlund, ˚A

Reference 33

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This paper cites 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2 V¨ ogler, A., Shelyag, S., Sch¨ ussler, M., et al.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2 V¨ ogler, A., Shelyag, S., Sch¨ ussler, M., et al

Reference 34

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Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Unresolved cited work

Reference 35

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Observation c65ca148-83b6-4ac1-a3d4-210b92e29705 · outbound

This paper cites 2020, Applied Sciences, 10, doi: 10.3390/app10051897.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations 2020, Applied Sciences, 10, doi: 10.3390/app10051897

Reference 36

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Observation fb4351e4-3c27-43b0-b891-35f7d32bb165 · outbound

This paper cites Simulations of Stellar Magnetoconvection using the Radiative MHD Code `StellarBox'.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Simulations of Stellar Magnetoconvection using the Radiative MHD Code `StellarBox'

Reference 37

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Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations N., & Kosovichev, A

Reference 38

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Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations K., & Togashi, K

Reference 39

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Observation 86f18d00-6893-47f6-8a02-6093a55cfe70 · outbound

This paper cites Object Detectors Emerge in Deep Scene CNNs.

Developing Machine Learning Models of Subgrid Turbulent Transport for Quiet Sun 3D Radiative Hydrodynamic Simulations Object Detectors Emerge in Deep Scene CNNs

Reference 40

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