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Integrity report for Fast Quadratic Manifold Learning For Nonlinear Dimensionality Reduction in Large-scale Systems using Riemannian Optimization

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

arXiv:2605.26039 · pith:2026:FSJ33WHKNTVDGPZ2IGLKBAECPG

0Critical
0Advisory
8Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 20:35:58.566437+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 23:47:31.994266+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-26 17:31:48.867985+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-26 09:49:57.021973+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 03:50:14.086074+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 03:23:23.875874+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 02:34:04.030768+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 02:23:58.509411+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/FSJ33WHKNTVDGPZ2IGLKBAECPG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.