Integrity report for Deep learning-based compression of giga-resolution whole slide images

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

arXiv:2605.17668 · pith:2026:OQ6SZXWHHE376SA257NJZF4S4V

0Critical

0Advisory

6Detectors 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 21:35:46.942891+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 15:02:46.421232+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 21:43:35.893580+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 14:40:12.455092+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 22:21:56.981286+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 21:49:44.265053+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/OQ6SZXWH/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.