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Paper Citation Record · LEDGER

Exploring the design space of deep-learning-based weather forecasting systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.07472.

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

pith.paper-citation-record.v1
2410.07472 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:25:27.261671Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:44:03.259383Z

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 20fbba87-9758-4f72-92a5-e954de10729a · inbound

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales cites this paper.

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales Exploring the design space of deep-learning-based weather forecasting systems

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:27.261671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:27.261671Z digest=sha256:5b217d997bdfb40480e3be6a21aec0c85bb6839520855784a262981665a30de4

Observation 2f93cd5d-1737-413c-bdaf-e5c484460625 · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Exploring the design space of deep-learning-based weather forecasting systems

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T16:59:59.527612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:59:59.527612Z digest=sha256:1350731b0969356ab1d3b143c332f35e01119a2c48cc982169494b001075a7e3

Observation b0b652bc-2cb5-4e51-8d11-59281d4c8413 · inbound

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland cites this paper.

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland Exploring the design space of deep-learning-based weather forecasting systems

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:47:41.681720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-19T17:45:13.121247Z digest=sha256:cec03d1aa6758d29cdd77e09cec303d97ffa75f8ca56bdfc0a2efb86bd751a03

Observation 26da4ba6-3bdf-4b61-9d73-69e5f7959b16 · inbound

Samudra 2: Scaling Ocean Emulators across Resolutions cites this paper.

Samudra 2: Scaling Ocean Emulators across Resolutions Exploring the design space of deep-learning-based weather forecasting systems

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:44:03.261179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T23:34:10.205047Z digest=sha256:0c2a9fe2e8d209a8637bebd0bfdb14ae7c9faae9ca09e03ba5a1037d78c69a32