Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.05107.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:59:52.775313Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T10:04:51.361522Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 dc7ecad1-748f-4c44-88a6-af8e5f622af2 · inbound
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators cites this paper.
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:04:51.368927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2e58cce1-4b8a-4bd6-a1d3-7d0742edbbb5 · inbound
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:59:52.775313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.