Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.13477.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:33:46.806439Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T13:36:03.360060Z
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 0ed62b56-1b28-4fa0-905d-5b606a002251 · inbound
ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion cites this paper.
ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:33:46.806439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1312161-5a1b-465b-b71b-75de07bddfc5 · inbound
An Adaptive Spatiotemporal Clustering Framework for 3D Ocean Subsurface Temperature Reconstruction cites this paper.
An Adaptive Spatiotemporal Clustering Framework for 3D Ocean Subsurface Temperature Reconstruction Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:36:03.364848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.