Integrity report for How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks

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

arXiv:2605.23583 · pith:2026:UKXYKUIUXYBIB3AIQUWBEEBMBG

0Critical

0Advisory

6Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-06-05 04:47:26.099530+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-05 04:36:07.736518+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-06-01 03:42:10.927045+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 12:44:50.377540+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 09:53:13.027417+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 07:25:04.779757+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/UKXYKUIUXYBIB3AIQUWBEEBMBG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.