Integrity report for HumanNet: Scaling Human-centric Video Learning to One Million Hours

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

arXiv:2605.06747

0Critical

0Advisory

4Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 12:42:03.943961+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 07:43:03.678765+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 18:31:19.112843+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 12:43:26.937949+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.06747/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.