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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:22:55.854847Z

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

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e9db3069-47a3-4232-be19-6c041eea27a2 · inbound

Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale cites this paper.

Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale Exploring the design space of deep-learning-based weather forecasting systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T21:22:55.854847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ad3626b2-8589-4e55-8208-7f5ed3eb674d · inbound

Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution cites this paper.

Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution Exploring the design space of deep-learning-based weather forecasting systems

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T15:20:43.243557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ac52dffb-f12e-4592-94f5-b1d01c3a95f7 · inbound

Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion cites this paper.

Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion Exploring the design space of deep-learning-based weather forecasting systems

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T12:30:07.228185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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.

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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.

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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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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