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Paper Citation Record · LEDGER

Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.02587.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.02587 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:55:54.081311Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-06T23:55:54.081311Z digest=sha256:115b7763db0524a53abe8f87b824b38f1ec01c2b7cb26467194088c19f62207d

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-05T17:42:55.803616Z digest=sha256:3b29c25b52682d31248ce1f22994c655d38acb08b37dcc6f639e0f5580f92018