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Paper Citation Record · LEDGER

ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.01295.

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

pith.paper-citation-record.v1
2402.01295 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:56:35.449467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:54:38.122235Z

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 c7bbba15-800f-457f-a354-95e2e860078b · inbound

ExEBench: Benchmarking Foundation Models on Extreme Earth Events cites this paper.

ExEBench: Benchmarking Foundation Models on Extreme Earth Events ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:35.449467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:35.449467Z digest=sha256:82789d7a8bf57a4e534802a926fee62f9d786d6618a188e621be5e8f5c9597ba

Observation c8528434-ecde-4bc8-9299-e0de13f8b843 · inbound

Uncovering Insights of Compound Flooding with Data-Driven AI cites this paper.

Uncovering Insights of Compound Flooding with Data-Driven AI ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:08.215442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:08.215442Z digest=sha256:0ddbfdca542fee95fcfce073e9d9e51d1f8bddd6d3b1af66fe7fbceb3e32f321

Observation ebf972cd-caf6-44eb-ad41-30bc0ba4a6ff · inbound

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting cites this paper.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T18:17:52.548880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:17:52.548880Z digest=sha256:c9ac987d70037a8cbf24c8c79e74166b00dcb0de27d651e673b67f892b8789a2

Observation 2a63ebf2-ee84-48a9-b2ff-b8c592d90093 · inbound

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting cites this paper.

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:04.454065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:58:51.295532Z digest=sha256:a9f8f94d0e6f00a2f31a45251e2a438b3319f12e694eb41b6acfc61d80f41d4f

Observation fc4521b7-9a8f-43b3-b452-fddba5a3afc8 · inbound

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges cites this paper.

RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:54:38.123780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T11:54:05.680830Z digest=sha256:c619c5bc522b320a0d032447e15c30ff637d3799753335b481fc6c8a6b78e957