Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A unified framework for the analysis of accuracy and stability of a class of approximate Gaussian filters for the Navier-Stokes Equations
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.14078.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:28:04.626745Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 bf71937b-0626-43dc-a785-6d2e43ef7b25 · inbound
Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems cites this paper.
Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems A unified framework for the analysis of accuracy and stability of a class of approximate Gaussian filters for the Navier-Stokes Equations
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:28:04.626745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd33ca03-c551-434f-a24b-18dc965da30a · inbound
Comparing Deterministic and Stochastic Parameter Recovery Algorithms Applied to Chaotic Systems cites this paper.
Comparing Deterministic and Stochastic Parameter Recovery Algorithms Applied to Chaotic Systems A unified framework for the analysis of accuracy and stability of a class of approximate Gaussian filters for the Navier-Stokes Equations
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T18:49:43.427385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.