Integrity report for Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error

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

arXiv:2605.31438 · pith:2026:5IJGN5FKWRCBG2J6SABLGVJB6C

0Critical

0Advisory

6Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 14:29:02.272857+00:00

external_links completed v1.0.0 · findings 0 · 2026-06-01 23:32:12.800237+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-01 17:50:16.383926+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 07:50:48.603871+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 04:55:43.285972+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 02:35:04.614819+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/5IJGN5FK/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.