Integrity report for Benchmarking Single-Pose Docking, Consensus Rescoring, and Supervised ML on the LIT-PCBA Library: A Critical Evaluation of DiffDock, AutoDock-GPU, GNINA, and DiffDock-NMDN
A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.
0Critical
0Advisory
3Detectors run
2026-05-20Last checked
Paper page arXiv integrity.json
Detector runs
ai_meta_artifact
completed
doi_title_agreement
completed
doi_compliance
completed
Findings
No public integrity findings for this paper.
Signed record
The machine-readable record for this paper lives at /pith/2605.01681/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.