Paper Citation Record · LEDGER

SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.14066.

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

pith.paper-citation-record.v1
2306.14066 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:36:04.861961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:44:48.766815Z

Reference resolution

0 of 0 outbound references displayed

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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 b895c854-ea20-4b07-b6fd-337424af8b80 · 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 SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:04.861961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c86eb09-31e6-430b-99b9-38b5a5654e12 · inbound

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing cites this paper.

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:23:21.469004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 992f888e-bb4b-4f9a-b33c-55c84c820e81 · inbound

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing cites this paper.

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T14:19:58.645410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03440072-0ca6-46a7-ac11-f77a3d4bb860 · 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 SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:31:06.386126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca8e9cf0-c609-4804-8765-a67990a0e0c7 · inbound

Mechanisms of Misgeneralization in Physical Sequence Modeling cites this paper.

Mechanisms of Misgeneralization in Physical Sequence Modeling SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:48.768648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf4b5359-7423-491f-9dd2-9e952d0f30c5 · inbound

Geospatial Diffusion-based Evolution Synthesis (GeoDES) for Storm-Centered Weather Augmentation cites this paper.

Geospatial Diffusion-based Evolution Synthesis (GeoDES) for Storm-Centered Weather Augmentation SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T12:35:41.327310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.