Integrity report for You Don't Need Attention: Gated Convolutional Modeling for Watch-Based Fall Detection

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

arXiv:2605.20275 · pith:2026:YLKCJGPNQPNGMJJLXNO6PFCSSJ

0Critical

0Advisory

5Detectors run

2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 00:22:37.795798+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 20:27:07.385932+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 08:31:38.699247+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 08:16:28.082593+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 00:33:41.475477+00:00

Findings

No public integrity findings for this paper.

Signed record

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