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Paper Citation Record · LEDGER

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application

As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2507.01388.

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

pith.paper-citation-record.v1
2507.01388 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T15:28:38.494462Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:21:23.530168Z

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 7617c554-bfc4-4419-954e-75df281d5725 · outbound

This paper cites Lagrangian neural networks,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Lagrangian neural networks,

Reference 1

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Observation 25d12d47-2e5a-4179-abcf-e2ff02556940 · outbound

This paper cites Hamiltonianneural networks,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Hamiltonianneural networks,

Reference 2

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Observation 029de26a-3a4a-497c-bb5c-25d203641224 · outbound

This paper cites Learning Mesh-Based Simulation with Graph Net- works,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Learning Mesh-Based Simulation with Graph Net- works,

Reference 3

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Observation 5df09f7a-fad0-42b8-a5ce-fdce2feb353a · outbound

This paper cites Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model,

Reference 4

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Observation f350e0ba-5029-4286-91a3-e306e7631ef2 · outbound

This paper cites Com- pressed convolutional lstm: An efficient deep learning frame- work to model high fidelity 3d turbulence,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Com- pressed convolutional lstm: An efficient deep learning frame- work to model high fidelity 3d turbulence,

Reference 5

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Observation 2b00b816-60c0-4c55-9e00-9e87f53ea324 · outbound

This paper cites Newton versus the machine: solving the chaotic three-body problem using deep neural networks,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Newton versus the machine: solving the chaotic three-body problem using deep neural networks,

Reference 6

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Observation f0b25468-7bc2-4591-8a75-7946f678980d · outbound

This paper cites Machine learning for fluid mechanics,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Machine learning for fluid mechanics,

Reference 7

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Observation 13bd0f3e-faa3-46c6-a0e3-382af3cf0be2 · outbound

This paper cites Convolutional neural networks for steady flow approximation,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Convolutional neural networks for steady flow approximation,

Reference 8

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Observation 1abfb0d1-6c89-41b0-b77d-4b041727d3d2 · outbound

This paper cites Accelerating Eulerian Fluid Simulation With Convolutional Networks.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Accelerating Eulerian Fluid Simulation With Convolutional Networks

Reference 9

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Observation 22d61cc8-275f-44eb-b1cb-ebe3184c9859 · outbound

This paper cites Deep fluids: A generative network for parame- terized fluid simulations,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Deep fluids: A generative network for parame- terized fluid simulations,

Reference 10

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Observation 73a372d4-95f6-41d6-9b1c-bbe1caf6a1fe · outbound

This paper cites Machinelearning–acceleratedcomputational fluid dynamics,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Machinelearning–acceleratedcomputational fluid dynamics,

Reference 11

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Observation 8232a64a-d4e1-4840-b8a1-a8a70e943c4e · outbound

This paper cites Black hole weather forecasting with deep learning: a pilot study,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Black hole weather forecasting with deep learning: a pilot study,

Reference 12

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Observation 42986f4d-6ee7-4c24-97d2-6e23ec8cacd4 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving for- ward and inverse problems involving nonlinear partial differ- ential equations,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Physics-informed neural networks: A deep learning framework for solving for- ward and inverse problems involving nonlinear partial differ- ential equations,

Reference 13

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Observation a6b5f7ec-9194-40a7-9c9e-e8397f1f80e7 · outbound

This paper cites Physics-informed neural networks for high-speed flows,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Physics-informed neural networks for high-speed flows,

Reference 14

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Observation d711073b-0097-4791-951c-892a01fd7010 · outbound

This paper cites Nsfnets (navier- stokes flow nets): Physics-informed neural networks for the incompressible navier-stokes equations,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Nsfnets (navier- stokes flow nets): Physics-informed neural networks for the incompressible navier-stokes equations,

Reference 15

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Observation c7e1b463-1ec2-4361-bfe3-2d55667aa744 · outbound

This paper cites Physics-informed deep- learning applications to experimental fluid mechanics,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Physics-informed deep- learning applications to experimental fluid mechanics,

Reference 16

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Observation ff56b4b1-7161-4f71-a871-8e878dbd1606 · outbound

This paper cites Fourier neural op- erator for parametric partial differential equations,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Fourier neural op- erator for parametric partial differential equations,

Reference 17

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Observation 09dd187f-06c0-423b-9823-99dddf25bab3 · outbound

This paper cites Neural Operator: Learning Maps Between Function Spaces,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Neural Operator: Learning Maps Between Function Spaces,

Reference 18

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Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Unresolved cited work

Reference 19

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Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Unresolved cited work

Reference 20

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Observation cf517bc9-8940-4ad0-8cc8-4105a65b56ce · outbound

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Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Unresolved cited work

Reference 21

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Observation 1485bcd2-e099-448c-99c3-f3e28c1052ce · outbound

This paper cites PLUTO: A Numerical Code for Com- putational Astrophysics,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application PLUTO: A Numerical Code for Com- putational Astrophysics,

Reference 22

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Observation 86e8175b-2b28-4f25-b2da-7c4b261ab0df · outbound

This paper cites Fargo3d: A new gpu- oriented mhd code,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Fargo3d: A new gpu- oriented mhd code,

Reference 23

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Observation 08125473-9f75-4c01-ad45-f0f50744e6c5 · outbound

This paper cites The Athena++ Adaptive Mesh Refinement Framework: De- sign and Magnetohydrodynamic Solvers,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application The Athena++ Adaptive Mesh Refinement Framework: De- sign and Magnetohydrodynamic Solvers,

Reference 24

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Observation d52096eb-cf56-4f47-8139-8d3dc714cae8 · outbound

This paper cites Small-scale structure of two-dimensional magnetohydrodynamic turbulence,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Small-scale structure of two-dimensional magnetohydrodynamic turbulence,

Reference 25

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Observation 21cba296-7ec5-4ade-b1fb-bab4db106484 · outbound

This paper cites Orszag Tang vortex—Kinetic study of a turbulent plasma,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Orszag Tang vortex—Kinetic study of a turbulent plasma,

Reference 26

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Observation 06012d3a-b29a-4d74-af83-4d224501f967 · outbound

This paper cites Magnetohydrodynamics with physics informed neural operators,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Magnetohydrodynamics with physics informed neural operators,

Reference 27

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Observation bdae1dbc-d5e8-4ef3-89a0-adbf1e8eb86f · outbound

This paper cites Shock iden- tification and classification in 2d magnetohydrodynamic com- pressible turbulence—orszag–tang vortex,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Shock iden- tification and classification in 2d magnetohydrodynamic com- pressible turbulence—orszag–tang vortex,

Reference 28

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Observation ad291186-cbb3-4fcf-b3a4-ce54a7144bce · outbound

This paper cites Evolution of the Orszag- Tang vortex system in a compressible medium. I. Initial average subsonic flow,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Evolution of the Orszag- Tang vortex system in a compressible medium. I. Initial average subsonic flow,

Reference 29

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Observation 03d75acd-9266-4e5c-9066-25fcda209213 · outbound

This paper cites A central differencing simulation of the orszag-tang vortex system,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application A central differencing simulation of the orszag-tang vortex system,

Reference 30

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Observation d78399d0-f761-4236-b1bf-84f2e0a5b22e · outbound

This paper cites Structures in magnetohydrodynamic tur- bulence: Detection and scaling,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Structures in magnetohydrodynamic tur- bulence: Detection and scaling,

Reference 31

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Observation 2bccae91-3115-4f34-afc7-4f43b908ea9d · outbound

This paper cites ZEUS-2D: A Radiation Mag- netohydrodynamics Code for Astrophysical Flows in Two Space Dimensions. I. The Hydrodynamic Algorithms and Tests,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application ZEUS-2D: A Radiation Mag- netohydrodynamics Code for Astrophysical Flows in Two Space Dimensions. I. The Hydrodynamic Algorithms and Tests,

Reference 32

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Source-reported events for the cited work

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Observation 60ce0bbc-af8f-4836-a389-c4855cfffa00 · outbound

This paper cites Zhou, Finite Difference Method.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Zhou, Finite Difference Method

Reference 33

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Observation c68458e2-c376-4900-9d7a-251676c2e4cd · outbound

This paper cites Simulation of Magnetohydro- dynamic Flows: A Constrained Transport Model,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Simulation of Magnetohydro- dynamic Flows: A Constrained Transport Model,

Reference 34

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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 2026-08-15T06:32:42.880941+00:00.

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Observation 5f32049e-a5b6-45fd-b08e-cac7923c5374 · outbound

This paper cites Attention is all you need,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Attention is all you need,

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4510de74-7c8c-4b75-9622-b4b72205adc6 · outbound

This paper cites Adam: A method for stochastic opti- mization,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Adam: A method for stochastic opti- mization,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:57:42.619438Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 28dfae7f-51fa-4995-872f-d451c5f52bfa · outbound

This paper cites Investigating the impact of data nor- malization on classification performance,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Investigating the impact of data nor- malization on classification performance,

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 22e13cdd-b977-4eff-bc26-cd4d314ef079 · outbound

This paper cites Nor- malization techniques in training dnns: Methodology, analysis and application,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Nor- malization techniques in training dnns: Methodology, analysis and application,

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 20a124cf-d23d-4595-b756-762ab4e1d1a3 · outbound

This paper cites an unresolved cited work.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Unresolved cited work

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a9426b78-0aa1-4f1b-b90a-bbb13e042f5a · outbound

This paper cites Toward a Theory of Interstellar Turbulence. II. Strong Alfvenic Turbulence,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Toward a Theory of Interstellar Turbulence. II. Strong Alfvenic Turbulence,

Reference 40

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f869c4eb-e279-4acb-9315-2a662eb65e17 · outbound

This paper cites Dissipation of Energy in Locally Isotropic Turbulence,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Dissipation of Energy in Locally Isotropic Turbulence,

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 91718725-2b95-4f75-ac42-f5d2e0e0024d · outbound

This paper cites Spectral modeling of magnetohydrodynamic turbulent flows,.

Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Spectral modeling of magnetohydrodynamic turbulent flows,

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

Observation 77fb42e6-068e-49fe-9d76-9df7e3fdde99 · inbound

Learning Neural Operator Surrogates for the Black Hole Accretion Code cites this paper.

Learning Neural Operator Surrogates for the Black Hole Accretion Code Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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