Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ArchesWeather: An efficient AI weather forecasting model at 1.5{\deg} resolution
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14527.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:21.787544Z
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
4
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 31080582-a2fb-4378-b109-f96d34119308 · 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 ArchesWeather: An efficient AI weather forecasting model at 1.5{\deg} resolution
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:21.787544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0863f3a-014c-4efd-90e2-a2c65d63bb51 · inbound
Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency cites this paper.
Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency ArchesWeather: An efficient AI weather forecasting model at 1.5{\deg} resolution
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:29:30.528283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 578dac14-b551-4515-af63-7765807a03c3 · inbound
PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting cites this paper.
PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting ArchesWeather: An efficient AI weather forecasting model at 1.5{\deg} resolution
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T09:36:27.614564Z
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.
Observation e09491fd-34c7-48c4-a699-4a0dcc34a738 · inbound
The physics of AI weather models cites this paper.
The physics of AI weather models ArchesWeather: An efficient AI weather forecasting model at 1.5{\deg} resolution
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T02:25:14.337995Z
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.
Observation c543d4ee-6c01-426b-954d-89817a1692a1 · inbound
PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models cites this paper.
PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models ArchesWeather: An efficient AI weather forecasting model at 1.5{\deg} resolution
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:27:37.271780Z
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.