Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.00912.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:36:28.294992Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T20:59:05.065204Z
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 4e6d5c59-0053-4b3e-a708-82adeb3432a1 · inbound
Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model cites this paper.
Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:05:16.307418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7351a8b3-a7a3-4595-ac02-e0ebae9ce972 · inbound
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age cites this paper.
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:59:05.069846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 037e3f79-dfc2-4865-9e9e-71112b8bada5 · inbound
CGM Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence Applications cites this paper.
CGM Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence Applications Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:36:28.294992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.