Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.15727.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:36:58.178350Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:56:05.154819Z
Reference resolution
0 of 0 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
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.