Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.06100.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T01:06:22.225072Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T22:01:51.916877Z
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 dabf8b58-3d83-4397-9265-e97434154f46 · inbound
Forecast error diagnostics in neural weather models cites this paper.
Forecast error diagnostics in neural weather models Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:06:22.225072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0c1cdf0-30ae-48ff-86b7-fec9cc790128 · inbound
FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts cites this paper.
FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:01:51.919581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.