Paper Citation Record · LEDGER

Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.15727.

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pith.paper-citation-record.v1
2407.15727 v2

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measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:21.166623Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:56:05.154819Z

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Outbound references

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Pith citing papers

Observation db32a63c-60c2-4f5e-bb72-b864c1e733d2 · inbound

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics cites this paper.

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:23:13.937374Z

Source-reported events for the cited work

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Observation c48621b0-0fe6-480b-a33c-11b87db932bd · inbound

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach cites this paper.

Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:31:41.824636Z

Source-reported events for the cited work

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Observation 324d1631-6513-4525-8b06-13ebcb9bd648 · inbound

Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning cites this paper.

Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

Reference 25

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Source-reported events for the cited work

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Observation 375c4d1e-7aec-481f-9829-538113b20edb · inbound

Temperature and pressure reconstruction in turbulent Rayleigh-B\'enard convection by Lagrangian velocities using PINN cites this paper.

Temperature and pressure reconstruction in turbulent Rayleigh-B\'enard convection by Lagrangian velocities using PINN Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:27.848845Z

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Observation 28e1d889-2ffd-4d8f-a8b8-485b28defdc7 · inbound

FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design cites this paper.

FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T22:48:55.045665Z

Source-reported events for the cited work

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Observation 1d479459-8785-4aaf-be33-c9cd692aed8b · inbound

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction cites this paper.

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:58.178350Z

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Observation 2f4e63b6-2536-45ee-8019-a8c912b1d244 · inbound

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields cites this paper.

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:56:05.160355Z

Source-reported events for the cited work

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Observation 84324d50-adbb-4883-a0d2-274c73f55890 · inbound

Variational Rank Reduction Autoencoders for Generative Thermal Design cites this paper.

Variational Rank Reduction Autoencoders for Generative Thermal Design Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T20:35:23.452208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.