Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2009.12981.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:30:55.381094Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T08:33:02.005245Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 2a19b8c6-5376-4a8f-8987-a48c3ea43130 · inbound
Generalizable Spectral Embedding with an Application to UMAP Parametric UMAP embeddings for representation and semi-supervised learning
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5e91755-5604-4192-99a9-461f9ff7e202 · inbound
Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias Parametric UMAP embeddings for representation and semi-supervised learning
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8b819704-dbff-4515-9373-ce57681ae9d7 · inbound
Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization Parametric UMAP embeddings for representation and semi-supervised learning
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bedf1a81-d5f8-4ffc-b900-2350f4208150 · inbound
A Comparative Study of UMAP and Other Dimensionality Reduction Methods Parametric UMAP embeddings for representation and semi-supervised learning
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.