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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:47.858597Z

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 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.

source=pdf_text observed=2026-08-06T19:08:47.858597Z digest=sha256:7202b69c4fc48efd105470ddf6f7b92ffacb89d7f2ea56628aaf21e31668a249

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.

source=pdf_text observed=2026-08-05T12:00:58.170199Z digest=sha256:82df844ad0fc6d670fd7605d26257621d1a54cf9e8a9b579da2566cfa6ca5268

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.

source=arxiv_source observed=2026-08-04T14:56:45.379060Z digest=sha256:5bb250e54e4615221bfa7cf6318b0f9e5b64f852221eb5cbaa7dcb994a97615b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T08:21:01.173583Z digest=sha256:c3fd268755a3d7510f366a22440a186e24b280e8c733a5016b6bc8722359e425

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T23:34:10.205047Z digest=sha256:41e28022fd6a3e1e5ddb0d747ade9b003c38a9707a81a835baf899cac044e8b6