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Integrity report for Divide and Contrast: Learning Robust Temporal Features without Augmentation

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

arXiv:2605.21241 · pith:2026:CS3LK5FDPAST2LYK3N3LB36MBY

0Critical
0Advisory
7Detectors 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 06:02:41.362715+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 05:52:55.724250+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 05:43:42.832022+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-21 01:49:49.418132+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-21 01:49:47.218623+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:33:29.985417+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 01:22:11.683247+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/CS3LK5FD/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.