Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2505.06474.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:50:08.943246Z
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
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- unresolved0
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- malformed identifier0
- metadata mismatch0
External citation measurements
1
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 f7de683d-8fac-47c2-bf4a-4e1c761b277a · inbound
The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming cites this paper.
The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:50:08.943246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4a6ce40-479d-4900-847c-38625f6de24f · inbound
HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts cites this paper.
HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T11:57:50.327519Z
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 dabf08dd-e096-460e-9fca-4f322efadf98 · inbound
Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics cites this paper.
Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T22:20:21.964025Z
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 b7070df2-0b61-4c8e-9714-796ef53a8c63 · inbound
Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics cites this paper.
Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:07:18.786356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0560c90-cb1c-4b05-90b9-73ef6d19c4f4 · inbound
ACE2-NEMO: Coupling an ML atmospheric emulator to a full-depth dynamical ocean model cites this paper.
ACE2-NEMO: Coupling an ML atmospheric emulator to a full-depth dynamical ocean model Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T16:12:25.427434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2de69805-c3aa-43bd-814f-0e89ce2bb71a · inbound
Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models cites this paper.
Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T01:38:35.615272Z
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 60bef256-7353-4503-b4a4-8c2f2163a414 · inbound
A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models cites this paper.
A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:20:56.055342Z
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 3cc63436-f049-46ce-97a0-203e0d14a004 · inbound
A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models cites this paper.
A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:34:07.599279Z
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 ac79a34a-0bbf-4a6b-bf4d-8039d357cc1a · inbound
A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models cites this paper.
A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T08:58:18.913331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cbc083a-bb26-4f33-8fc7-1be477713f82 · inbound
Monthly Diffusion v0.9: A Latent Diffusion Model for the First AI-MIP cites this paper.
Monthly Diffusion v0.9: A Latent Diffusion Model for the First AI-MIP Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:35:26.380323Z
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 a5b11146-8d34-4bf5-ba0a-070c53800eee · inbound
Towards accurate extreme event likelihoods from diffusion model climate emulators cites this paper.
Towards accurate extreme event likelihoods from diffusion model climate emulators Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:11:25.868792Z
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 2081d7d3-b75d-4fe5-b317-95a3de1591b5 · inbound
Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations cites this paper.
Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:52:49.548012Z
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 a7bd5892-9973-441f-8f24-c091cbc527fe · inbound
Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction cites this paper.
Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Reference 110
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T18:29:41.568156Z
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.