Paper Citation Record · LEDGER

AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2308.13280.

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

pith.paper-citation-record.v1
2308.13280 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:12:31.880870Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
metadata mismatch0

External citation measurements

20
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 827742c6-9224-43a8-86ac-64bd8d9e5279 · inbound

A Hybrid Deep-Learning Model for El Ni\~no Southern Oscillation in the Low-Data Regime cites this paper.

A Hybrid Deep-Learning Model for El Ni\~no Southern Oscillation in the Low-Data Regime AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T22:12:31.880870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e93d07c-dc76-48bc-bb84-0cd60f8b7409 · inbound

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 AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:04.858541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7feee98e-44d1-4198-8e25-e85e76f5e312 · 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 AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:47.919155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39f612e-b1da-4744-8f90-ac8cc6a99f0c · 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 AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:53.720865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0e825a-a6a1-4b2b-8ce7-31df5ba1924a · inbound

Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves cites this paper.

Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T10:43:15.846420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0771bb12-76a3-4c65-af54-0fb7dbd7a317 · inbound

A robust and stable hybrid neural network/finite element method for 2D flows that generalizes to different geometries cites this paper.

A robust and stable hybrid neural network/finite element method for 2D flows that generalizes to different geometries AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T08:33:30.406870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07dd318f-d26b-4f93-9c70-53b133856ade · inbound

Sampling Parallelism for Fast and Efficient Bayesian Learning cites this paper.

Sampling Parallelism for Fast and Efficient Bayesian Learning AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:50:44.407912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 702f1742-f841-48c1-8e9d-267181829e08 · 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 AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:31:06.418359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9d8eefc-f03c-462c-a0fc-d304a9f9030d · inbound

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

Towards a Foundation Model for the Martian Atmosphere AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.834018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fc46fa44-0092-472c-8b08-be2286d48761 · 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 AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:06.562497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.