Paper Citation Record · LEDGER

Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2304.07029.

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

pith.paper-citation-record.v1
2304.07029 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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:21.667209Z

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
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

14
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 cbca5ea0-fe42-481c-9206-8ca0c9755c64 · 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 Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:21.667209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5acd101-3a51-4b6a-9e61-5b30322f0d5c · inbound

Hierarchical Implicit Neural Emulators cites this paper.

Hierarchical Implicit Neural Emulators Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:39.731901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018caf01-9b0f-426c-9d51-29867aa292f0 · inbound

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity cites this paper.

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:08:47.858597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72945e1a-55b3-4e49-a7e1-7c10f35fbcff · inbound

LUCIE-3D: A three-dimensional climate emulator for forced responses cites this paper.

LUCIE-3D: A three-dimensional climate emulator for forced responses Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T12:00:58.170199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22bfc485-01e4-4487-9cd3-8041a92f73c9 · inbound

Generative multi-scale modeling and downscaling via spatial autoregressive transport maps cites this paper.

Generative multi-scale modeling and downscaling via spatial autoregressive transport maps Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T14:56:45.379060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64f862c2-c71d-4a97-a5f0-67a117960388 · inbound

Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems cites this paper.

Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:22:36.052658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f2473d3-53d9-4d72-85f3-a94c66bfa447 · inbound

Samudra 2: Scaling Ocean Emulators across Resolutions cites this paper.

Samudra 2: Scaling Ocean Emulators across Resolutions Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:44:02.662086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.