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Integrity report for Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models

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

arXiv:2605.19462 · pith:2026:NOZX2NOERADRSFOSTANVTOM3PZ

0Critical
0Advisory
6Detectors 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 10:32:43.343231+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 10:03:46.657239+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 08:14:21.266369+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 17:51:37.426056+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 12:55:59.802513+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 01:33:29.770724+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/NOZX2NOERADRSFOSTANVTOM3PZ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.