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Paper Citation Record · LEDGER

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2308.15560.

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

pith.paper-citation-record.v1
2308.15560 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:11:37.688900Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.555223Z

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Outbound references

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Pith citing papers

Observation cabeb48a-afb6-4c19-9b6f-ce2ee956f842 · inbound

WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks cites this paper.

WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 23

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ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting cites this paper.

ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 29

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Observation 4ec19074-dcd1-4ece-84e7-bb063f31deeb · inbound

GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations cites this paper.

GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 57

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Observation 4709a335-a9dc-474a-8cd3-abbe72660ad7 · inbound

PEAR: Equal Area Weather Forecasting on the Sphere cites this paper.

PEAR: Equal Area Weather Forecasting on the Sphere WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 35

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Observation 68e09e40-3842-465c-86e2-aa94aa1c28b5 · inbound

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System cites this paper.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 62

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Observation fcc0c150-e72a-42b2-8f59-1b3fb69c9445 · inbound

Skillful joint probabilistic weather forecasting from marginals cites this paper.

Skillful joint probabilistic weather forecasting from marginals WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 18

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Observation ce5b9c1e-701a-4b21-9a29-59e03bb7d4bb · inbound

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

RainShift: A Benchmark for Precipitation Downscaling Across Geographies WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 48

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no resolver link, observed 2026-08-06T19:41:23.083154Z

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Observation a6bd8283-cfef-4eca-874d-117f939ea5f1 · inbound

Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism cites this paper.

Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 33

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Observation 640f1a80-975e-45d1-8a12-9ed1992bf7b9 · 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 WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 17

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Observation 64a38f27-3dc8-49f2-8904-8665e07297c7 · inbound

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores cites this paper.

Uncertainty Quantification for Regression: A Unified Framework based on kernel scores WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 48

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Observation 771e8e5c-b373-4998-8b7b-44c10d771c08 · inbound

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts cites this paper.

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 48

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arxiv_id, observed 2026-05-16T11:57:50.317227Z

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Observation 690c739c-31e1-4849-b856-5f45a025f5f7 · inbound

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality cites this paper.

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 87

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Observation f746d6ba-ff90-4920-aad7-1dca49fd5fb2 · inbound

AS-Bridge: A Bidirectional Generative Framework Bridging Next-Generation Astronomical Surveys cites this paper.

AS-Bridge: A Bidirectional Generative Framework Bridging Next-Generation Astronomical Surveys WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 30

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Observation 3ef0c808-be7d-4940-8025-524878fee18c · inbound

Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting cites this paper.

Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 28

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arxiv_id, observed 2026-05-15T10:45:28.426408Z

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Observation e934ded2-703d-4f69-87f1-23348a6fbded · inbound

Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting cites this paper.

Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 29

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arxiv_id, observed 2026-05-11T12:31:06.356131Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4cca3363-2d11-47a0-9c57-3490952d08e9 · inbound

Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting cites this paper.

Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 15

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PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models cites this paper.

PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 20

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Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work cites this paper.

Machine learning is revolutionizing weather forecasting -- the next step is a change in how we work WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 18

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arxiv_id, observed 2026-07-04T19:20:06.556900Z

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