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Paper Citation Record · LEDGER

Emerging AI-based weather prediction models as downscaling tools

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.17977.

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

pith.paper-citation-record.v1
2406.17977 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:46.824044Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:33:23.419039Z

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 ddc77a11-1fce-4895-96de-ce7d2e4e78a4 · inbound

MODS: Multi-source Observations Conditional Diffusion Model for Meteorological State Downscaling cites this paper.

MODS: Multi-source Observations Conditional Diffusion Model for Meteorological State Downscaling Emerging AI-based weather prediction models as downscaling tools

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:46.824044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:46.824044Z digest=sha256:adbc5e7d18eba139d59a7a55736cb86e5ffa8659ecdf4dc7637b87dd2792df7a

Observation d0f06c67-39bd-4724-a4d6-a1e214ac4736 · inbound

IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales cites this paper.

IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales Emerging AI-based weather prediction models as downscaling tools

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:33:23.420520Z

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.

source=arxiv_source observed=2026-05-15T00:30:25.553824Z digest=sha256:1b3db0547ad587f52450fd660957166775663d2db8f784b080b265e733fb4ca9