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Paper Citation Record · LEDGER

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

As of 25 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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

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 2026-07-24T06:31:00.690269+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T22:32:07.807228Z

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

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 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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-07-14T22:32:07.807228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:32:07.807228Z digest=sha256:47ccffd9dd35c1d57c205eafb807320513af4fc0b78aed77b77058789a3a1008

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-05-15T10:40:51.199534Z digest=sha256:c6804cce623c87d5279321d8b2ad65ae9b884f4445f3e6a627d798554c2b51a5

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-05-10T03:22:44.396300Z digest=sha256:ec742877744cfb94967922ef3a99f86a77e1ffdd3cf5483a9436b6f625e66bd3

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

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:28:25.580090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-05-20T15:24:37.958002Z digest=sha256:f79bc8c06f20d067df3e9d01d1296043dcd1de2229ee7f19cde78fb483e2b0cb

Observation 829eb61e-ef94-4fe9-9750-e481c7e0b8c3 · inbound

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

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:27:37.235406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-27T13:52:47.249619Z digest=sha256:898770a1bef19ebd881b94dec2cf29e0bc80602de7af1b1ff4761c0479346e8e

Observation e16cf5a0-5d42-44ef-aa6b-726e3411b0b1 · inbound

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-25T21:31:02.801031Z digest=sha256:6eff65543571c4da4bf443ead6579200bbc638f7d661b1d93e69a4bb71cd80f6