Paper Citation Record · LEDGER

Deep Learning Models for ADITYA-U MHD Equilibrium

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.04865.

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

pith.paper-citation-record.v1
2607.04865 v1

Coverage vector

measured 21 of 21 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-11T12:18:15.125947Z

measured 21 of 21 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

21 of 21 outbound references displayed

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Outbound references

Observation efb13ac4-e0eb-4ac3-af3b-c8ea1516ba84 · outbound

This paper cites an unresolved cited work.

Deep Learning Models for ADITYA-U MHD Equilibrium Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Unavailable: canonical work link unavailable.

Observation 6c892616-e406-4d52-8a26-18cfc19569bc · outbound

This paper cites Bak, S.G.

Deep Learning Models for ADITYA-U MHD Equilibrium Bak, S.G

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 6fadf92b-3c00-403d-b50f-610719f3f7e9 · outbound

This paper cites Wai, M.D.

Deep Learning Models for ADITYA-U MHD Equilibrium Wai, M.D

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation aecc7303-4f20-46c3-bebb-d78c517f6669 · outbound

This paper cites EAST discharge prediction with- out integrating simulation results.Nuclear Fusion, 62(12):126060, Nov 2022.

Deep Learning Models for ADITYA-U MHD Equilibrium EAST discharge prediction with- out integrating simulation results.Nuclear Fusion, 62(12):126060, Nov 2022

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation ccb54b3a-d0ec-4302-abe6-522c8e59ead8 · outbound

This paper cites A machine-learning-based tool for last closed-flux surface reconstruction on tokamaks.Nuclear Fusion, 63(5):056019, Apr 2023.

Deep Learning Models for ADITYA-U MHD Equilibrium A machine-learning-based tool for last closed-flux surface reconstruction on tokamaks.Nuclear Fusion, 63(5):056019, Apr 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 6ef62af7-ef43-48e1-88ac-ba2080813fe6 · outbound

This paper cites Fast equilibrium reconstruction by deep learning on EAST tokamak.AIP Advances, 13(7):075007, Jul 2023.

Deep Learning Models for ADITYA-U MHD Equilibrium Fast equilibrium reconstruction by deep learning on EAST tokamak.AIP Advances, 13(7):075007, Jul 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 67984b81-4a17-42cc-b40b-d8fc3113facc · outbound

This paper cites Reconstruction of tokamak plasma safety factor profile using deep learning.Nuclear Fusion, 63(8):086020, Jun 2023.

Deep Learning Models for ADITYA-U MHD Equilibrium Reconstruction of tokamak plasma safety factor profile using deep learning.Nuclear Fusion, 63(8):086020, Jun 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 586c87e0-45c6-48c2-8fa3-7fa0ecea6b3d · outbound

This paper cites Madireddy, C.

Deep Learning Models for ADITYA-U MHD Equilibrium Madireddy, C

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 1290cf56-0ac2-47a6-8134-6bcddbfd2cdc · outbound

This paper cites an unresolved cited work.

Deep Learning Models for ADITYA-U MHD Equilibrium Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation caf1927e-bba2-4a89-b89f-7697e4df0ef0 · outbound

This paper cites Machine learning prediction of plasma behav- ior from discharge configurations on WEST.Nuclear Fusion, 66(4):044001, Mar 2026.

Deep Learning Models for ADITYA-U MHD Equilibrium Machine learning prediction of plasma behav- ior from discharge configurations on WEST.Nuclear Fusion, 66(4):044001, Mar 2026

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation bf948e71-8edd-4045-b55c-5df84526bc90 · outbound

This paper cites Zheng, S.F.

Deep Learning Models for ADITYA-U MHD Equilibrium Zheng, S.F

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation b1dc891e-e8b9-43ce-a511-12cef2d2d104 · outbound

This paper cites Tanna, J.

Deep Learning Models for ADITYA-U MHD Equilibrium Tanna, J

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 3e351d42-e245-4f48-a8c0-62a5e518bdf2 · outbound

This paper cites Singh, Suman Aich, Jaga- bandhu Kumar, Rohit Kumar, and Daniel Raju.

Deep Learning Models for ADITYA-U MHD Equilibrium Singh, Suman Aich, Jaga- bandhu Kumar, Rohit Kumar, and Daniel Raju

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation e4574eb4-0956-4133-bb6e-54d95c85f3fd · outbound

This paper cites pyIPREQ: Free Boundary MHD Equiliibrium Code.https://github.com/udy11/ pyIPREQ,https://gitlab.com/udy11/pyIPREQ, 2025.

Deep Learning Models for ADITYA-U MHD Equilibrium pyIPREQ: Free Boundary MHD Equiliibrium Code.https://github.com/udy11/ pyIPREQ,https://gitlab.com/udy11/pyIPREQ, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation b617d8ea-2d06-4ebd-b541-f031f0b15b3e · outbound

This paper cites Plasma column position measurements using magnetic diagnostics in ADITYA-U tokamak.Plasma Research Express, 3(3):035005, Sep 2021.

Deep Learning Models for ADITYA-U MHD Equilibrium Plasma column position measurements using magnetic diagnostics in ADITYA-U tokamak.Plasma Research Express, 3(3):035005, Sep 2021

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation e3bca981-90ba-419e-a266-db293f8a651e · outbound

This paper cites an unresolved cited work.

Deep Learning Models for ADITYA-U MHD Equilibrium Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 92192685-a79f-4af6-b0e6-6d61e9549b78 · outbound

This paper cites Nu- merical determination of axisymmetric toroidal magne- tohydrodynamic equilibria.Journal of Computational Physics, 32(2):212–234, 1979.

Deep Learning Models for ADITYA-U MHD Equilibrium Nu- merical determination of axisymmetric toroidal magne- tohydrodynamic equilibria.Journal of Computational Physics, 32(2):212–234, 1979

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 60cc5e47-5e01-4005-8f9d-abcd8f243834 · outbound

This paper cites Realtimeverticalpo- sition estimation of plasma column using fast imaging in Aditya-U tokamak.Nuclear Fusion, Jul 2025.

Deep Learning Models for ADITYA-U MHD Equilibrium Realtimeverticalpo- sition estimation of plasma column using fast imaging in Aditya-U tokamak.Nuclear Fusion, Jul 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 898d4a83-8312-4380-94a2-6d370badc698 · outbound

This paper cites Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al.

Deep Learning Models for ADITYA-U MHD Equilibrium Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 2918ef07-a866-4197-942e-05e67d2d8734 · outbound

This paper cites KerasTuner.

Deep Learning Models for ADITYA-U MHD Equilibrium KerasTuner

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Observation 290ca7fb-c0f0-46f5-9448-cab176ae86cb · outbound

This paper cites Multi- Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics.

Deep Learning Models for ADITYA-U MHD Equilibrium Multi- Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T12:18:15.125947Z

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Pith citing papers

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