Paper Citation Record · LEDGER

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport

As of 14 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.07925.

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pith.paper-citation-record.v1
2607.07925 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T15:20:03.307437Z

measured 18 of 18 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

18 of 18 outbound references displayed

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External citation measurements

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Outbound references

Observation a7da96e4-b17d-47e5-a057-1d2c0faff1c9 · outbound

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

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Reynolds Stress Modeling Using Data Driven Machine Learning Algorithms

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-10T15:27:19.976371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07951354-dc68-48cb-941f-8ece32b638fe · outbound

This paper cites Physics-informed machine learning for modeling turbulence in supernovae,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Physics-informed machine learning for modeling turbulence in supernovae,

Reference 2

Resolution: verified exact; doi, observed 2026-07-10T15:27:19.980902Z

Source-reported events for the cited work

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Observation d0892ff8-8029-4981-bda4-facd3e072e42 · outbound

This paper cites Developing machine learning models of subgrid turbulent transport for quiet sun 3d radiative hydrodynamic simulations,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Developing machine learning models of subgrid turbulent transport for quiet sun 3d radiative hydrodynamic simulations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.458225Z

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Observation c6f14ae9-84e2-4243-a434-0d856212926a · outbound

This paper cites Using Realistic MHD Simu- lations for Modeling and Interpretation of Quiet-Sun Observations with the Solar Dynamics Observatory Helioseismic and Magnetic Imager,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Using Realistic MHD Simu- lations for Modeling and Interpretation of Quiet-Sun Observations with the Solar Dynamics Observatory Helioseismic and Magnetic Imager,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.460105Z

Source-reported events for the cited work

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Observation c5954d5f-4deb-4521-bce5-f804bce29485 · outbound

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

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Simulations of Stellar Magnetoconvection using the Radiative MHD Code `StellarBox'

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-10T15:27:20.197225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 627c9d51-46dd-4815-8f02-755e4ed95b51 · outbound

This paper cites Realistic Simulations of Stellar Radiative MHD,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Realistic Simulations of Stellar Radiative MHD,

Reference 6

Resolution: verified exact; doi, observed 2026-07-10T15:27:19.968818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1730d96f-a629-4a0b-b0b1-6338ca6692d6 · outbound

This paper cites Solar Convection,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Solar Convection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.454230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5ff9361-3f1f-4003-823f-b0178a05bea3 · outbound

This paper cites Revisiting turbulent properties of solar convection with 3D radiative hydrodynamic modeling.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Revisiting turbulent properties of solar convection with 3D radiative hydrodynamic modeling

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-10T15:27:20.194353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df1927cd-2c41-435b-92f6-f4a36fdf6e6b · outbound

This paper cites Monthly Weather Review , year = 1963, month = jan, volume =.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Monthly Weather Review , year = 1963, month = jan, volume =

Reference 9

Resolution: metadata mismatch; doi, observed 2026-07-10T15:27:19.983375Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b05b4fa5-90b9-4e6f-9d65-a5f908e91ed3 · outbound

This paper cites year =.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport year =

Reference 10

Resolution: metadata mismatch; doi, observed 2026-07-10T15:27:19.970537Z

Source-reported events for the cited work

correction dated 2002-07-26. Source: crossref record 10.1063/1.858221->10.1063/1.857955:correction, observed 2026-07-11T03:02:51.39283+00:00. This notice travels one citation hop only.

Observation 0f1dc6d4-445f-43ab-9da8-1f87270be147 · outbound

This paper cites John L Lumley.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport John L Lumley

Reference 11

Resolution: metadata mismatch; doi, observed 2026-07-10T15:27:19.978779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53c8fb67-d86c-4fe3-811d-c376c581422a · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.452632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f17f1b8-c64e-4cdc-9cbe-378f6762dbc4 · outbound

This paper cites Nonzero Phase Shifts of Acoustic Waves in the Lower Solar Atmosphere Measured from Realistic Simulations and Their Role in Local Helioseismology,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Nonzero Phase Shifts of Acoustic Waves in the Lower Solar Atmosphere Measured from Realistic Simulations and Their Role in Local Helioseismology,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.456213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 49789a5a-ce68-4070-a890-0bd138588a6a · outbound

This paper cites Pedregosa, G.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Pedregosa, G

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-10T15:27:19.973238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0157f1fb-bcdf-4bde-bcfe-857950edf586 · outbound

This paper cites Data clustering: 50 years beyond k-means,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Data clustering: 50 years beyond k-means,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.467093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 590d0a88-22ca-4959-a065-e5416f55897b · outbound

This paper cites Silhouettes: a graphical aid to the interpretation and validation of cluster analysis,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Silhouettes: a graphical aid to the interpretation and validation of cluster analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.461784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66a7b168-4c0c-4408-ab6b-899b7d35bf15 · outbound

This paper cites k-means++: The advantages of careful seeding.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport k-means++: The advantages of careful seeding

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.463511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f52f04b8-b7bd-4c78-8909-02944a135aeb · outbound

This paper cites Small-scale Dynamo Simulations: Magnetic Field Am- plification in Exploding Granules and the Role of Deep and Shallow Recirculation,.

Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport Small-scale Dynamo Simulations: Magnetic Field Am- plification in Exploding Granules and the Role of Deep and Shallow Recirculation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T15:27:20.465294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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