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Paper Citation Record · LEDGER

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.10808.

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

pith.paper-citation-record.v1
2309.10808 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T19:01:31.373340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:05:00.747427Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 51465f66-70b9-4c60-88c5-9b4d42a2488d · 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 AI Foundation Models for Weather and Climate: Applications, Design, and Implementation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:45:28.432484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:40:51.199534Z digest=sha256:9da6c67bba0a6e44cae1c14d8e19cf7d74f611d672af3ea2aaa164cb67e800dd

Observation 765f9f08-05ae-46a5-9e7b-5792544792c1 · inbound

AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training cites this paper.

AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training AI Foundation Models for Weather and Climate: Applications, Design, and Implementation

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:03:46.627739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T21:00:47.205611Z digest=sha256:ae079caa00b629738e207b7e1c9520f36040c607c90bbe6a15d6b7d37cb869f7

Observation 17781df7-f19f-409d-b8e9-b7cfb62453fc · inbound

Towards a Foundation Model for the Martian Atmosphere cites this paper.

Towards a Foundation Model for the Martian Atmosphere AI Foundation Models for Weather and Climate: Applications, Design, and Implementation

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:05:00.748908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T19:01:31.373340Z digest=sha256:79db445dabcfdaafbb18eff7188f2a28453d31cdc706520c5ea35e0f8ac7ba02