Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Online learning of eddy-viscosity and backscattering closures for geophysical turbulence using ensemble Kalman inversion
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.04985.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:18.510806Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:12:37.703996Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 c9384253-324f-4deb-ac20-6e2a234b79c4 · inbound
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence cites this paper.
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence Online learning of eddy-viscosity and backscattering closures for geophysical turbulence using ensemble Kalman inversion
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:30:18.510806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b563ba84-9473-4977-851d-44951a1635a3 · inbound
Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence cites this paper.
Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence Online learning of eddy-viscosity and backscattering closures for geophysical turbulence using ensemble Kalman inversion
Reference 120
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T21:12:37.747563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.