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Paper Citation Record · LEDGER

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.01909.

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

pith.paper-citation-record.v1
2307.01909 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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:49.410587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:37.236586Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 3975b04b-26ac-4f9a-b285-b23249395545 · inbound

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting cites this paper.

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:49.410587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 99824df1-0e0e-481e-9246-c1bfa47fcdb9 · inbound

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

RainShift: A Benchmark for Precipitation Downscaling Across Geographies ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:41:23.102515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:41:23.102515Z digest=sha256:dabf8a2e2138f52943aa187f1fe1d13548846783f4990f93e00522a8ef8f83aa

Observation e10df5b8-2882-4515-b00e-6421f9cc03a2 · inbound

FinCast: A Foundation Model for Financial Time-Series Forecasting cites this paper.

FinCast: A Foundation Model for Financial Time-Series Forecasting ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T15:45:36.885582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:45:36.885582Z digest=sha256:eee42ed699ed48bde1c88b5d5ae4c26557a1319df32fd2cc265097d5b9b04aaf

Observation fdc27ead-5ce7-4060-8857-1e2de0ecfbd5 · 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 ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:27:37.238234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T13:52:47.249619Z digest=sha256:0ff945d01eb4a404fd77728b3bc182e0dd660a7faacce491404be86db36e4638