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Paper Citation Record · LEDGER

Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.00912.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.00912 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:05:16.307418Z

measured 0 of 1 external citation measurements

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.

source=arxiv_source observed=2026-08-10T23:05:16.307418Z digest=sha256:cbca2dc45cf9f6ef874653eb2a118a95e15a1b8ac846d70077108bb91df42b81

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:04.302429Z digest=sha256:561a072a70f99eed33056bc53b86864587dd7459555090ae6e3941fb5dcf2f1d