Paper Citation Record · LEDGER

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.00087.

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

pith.paper-citation-record.v1
2412.00087 v3

Coverage vector

measured 43 of 43 reference resolution

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External citation measurements

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Outbound references

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This paper cites an unresolved cited work.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

Reference 1

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

Reference 2

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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This paper cites & Mayo-García, R.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices & Mayo-García, R

Reference 6

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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This paper cites P., Hansen, C., Mauel, M.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices P., Hansen, C., Mauel, M

Reference 8

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices E., Seo, P

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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This paper cites W., Sabbagh, S.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices W., Sabbagh, S

Reference 12

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices & Turnbull, A

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This paper cites Dong et al.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Dong et al

Reference 14

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices & Wang, Z

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Reference 16

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This paper cites D., Logan, N.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices D., Logan, N

Reference 17

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices & Tang, W

Reference 18

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices & Karniadakis, G

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices & Sun, W

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices & Wriggers, P

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Jagtap, A

Reference 24

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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This paper cites Applications of Deep Learning to Nuclear Fusion Research.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Applications of Deep Learning to Nuclear Fusion Research

Reference 27

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This paper cites Tomography of m =1 mode structure in tokamak plasma using least - square-fitting method and Fourier –Bessel expansions.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Tomography of m =1 mode structure in tokamak plasma using least - square-fitting method and Fourier –Bessel expansions

Reference 28

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This paper cites Neural network regression approaches to reconstruct properties of magnetic configuration from Wendelstein 7- X modeled heat load patterns.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Neural network regression approaches to reconstruct properties of magnetic configuration from Wendelstein 7- X modeled heat load patterns

Reference 30

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices & Jenko, F

Reference 31

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 32

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Reconstruction of soft X -ray and tungsten concentration profiles in Tokamaks using Bayesian method

Reference 33

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Deep Residual Learning for Image Recognition

Reference 34

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Attention Is All You Need

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 39

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This paper cites Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

Reference 40

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Compositional Generative Inverse Design

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Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Unresolved cited work

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This paper cites Adam: A Method for Stochastic Optimization.

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices Adam: A Method for Stochastic Optimization

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Pith citing papers

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