Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.02587.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:59:22.124830Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T17:42:59.577239Z
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 bf79aab0-dc80-4e83-92ae-8c97b8ec2fce · inbound
TAUDiff: Highly efficient kilometer-scale downscaling using generative diffusion models cites this paper.
TAUDiff: Highly efficient kilometer-scale downscaling using generative diffusion models Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:59:22.124830Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce2c1364-2f31-4015-a271-f27d5da704ad · inbound
Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs cites this paper.
Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:55:54.081311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dac60ae2-6a7e-4eee-a6d1-180ebe4270e7 · inbound
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed cites this paper.
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T17:42:59.619893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.