pith. sign in

Integrity report for Comparative Evaluation of Machine Learning Approaches for Minority-Class Financial Distress Prediction Under Class Imbalance Constraints

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

arXiv:2605.14067 · pith:2026:NGLYHHK5AO4FL4FIDKXWUSUMUN

0Critical
0Advisory
4Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 08:40:30.411735+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 10:01:40.752174+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 07:38:57.473461+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 19:42:11.889212+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/NGLYHHK5/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.