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Integrity report for Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2605.21878 · pith:2026:CQFMFTWNM7CU5OO5E4QK6PID7T

0Critical
0Advisory
7Detectors run
2026-05-31Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-31 07:59:46.220171+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-31 07:34:28.071584+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 05:43:38.987698+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 17:24:33.108554+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-25 01:50:40.192053+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 01:51:16.827548+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 16:52:52.588257+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/CQFMFTWNM7CU5OO5E4QK6PID7T/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.