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Integrity report for Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning

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

arXiv:2605.17624 · pith:2026:H4RLGPTK4FG3BIU4AQXGMYRVDF

0Critical
0Advisory
5Detectors run
2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 15:32:46.173737+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 22:03:36.368544+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 15:00:34.004170+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 22:52:44.604125+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 21:33:23.563309+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/H4RLGPTK/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.