Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.02874.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T15:49:33.410214Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:20:01.076919Z
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 e40d301e-ce78-43ba-8564-f30a4f5cdc42 · inbound
Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8fa1faa2-210f-438e-a204-712dc6c39ba3 · inbound
Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1ad0548d-7aed-4f30-9f2a-b8bc2ec0dba5 · inbound
Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f428031-19c5-4dcd-a3b5-166b8ebefeda · inbound
SafeImpute: Reliable Clinical Data Imputation via Conformal Selection Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.