Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics
As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2507.00539.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T10:03:44.909217Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:39:57.951698Z
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 850606fb-1a29-41cc-b81c-7a36257a66a6 · inbound
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance cites this paper.
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T10:03:44.909217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c8743f6-7627-4f96-b2d2-cc92a06aaab5 · inbound
Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications cites this paper.
Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:39:57.953372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.