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Paper Citation Record · LEDGER

Evaluating the transferability potential of deep learning models for climate downscaling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.12517.

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

pith.paper-citation-record.v1
2407.12517 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:41:23.068066Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-11T04:27:50.470215Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 0072ab96-4712-402a-a039-f05cdf806df9 · inbound

RainShift: A Benchmark for Precipitation Downscaling Across Geographies cites this paper.

RainShift: A Benchmark for Precipitation Downscaling Across Geographies Evaluating the transferability potential of deep learning models for climate downscaling

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:41:23.068066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:41:23.068066Z digest=sha256:fe9aed599b77465c24a7e9bfdd5e8916333af953baaf34e957800e4bed75f8f5

Observation 2707e3e5-b24b-4e6c-8e0f-9e6d3ae79b10 · inbound

Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift cites this paper.

Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift Evaluating the transferability potential of deep learning models for climate downscaling

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-11T04:27:50.472623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-11T04:25:30.868527Z digest=sha256:f1157283631e3e00c73a4a4e2d5f662ab05005481c352f18e0924393f815d455