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Paper Citation Record · LEDGER

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts

As of 24 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2508.11063.

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

pith.paper-citation-record.v1
2508.11063 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:30:42.219421Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d5fb528-0ae5-41c0-ab0f-f1bcdf9a3bad · outbound

This paper cites an unresolved cited work.

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts Unresolved cited work

Reference 1

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T17:30:42.285814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:30:42.210015Z digest=sha256:89c1d3e55d1c57f3ecf60dd28c803542e5c3731b24c0eaf1a2bd3947d0099137

Observation 8eac1520-4c0c-4f3f-a859-1a0b687745ea · outbound

This paper cites Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap.

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-15T17:30:42.261003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:30:42.219421Z digest=sha256:d04b6d94d524391e04f178f3d5bd4444231c8f2580d4a6ec36f341abdcdcf2d6

Observation b2d1c7b6-b82e-450a-b69a-fb825f065b77 · outbound

This paper cites an unresolved cited work.

Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:30:42.273948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:30:42.215375Z digest=sha256:85e4eb12835ed8cf91a047d90f760b8c5f62e8ee0a5831a6dde663a6a279ea69

Pith citing papers

No inbound Pith citation observations are available.