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Integrity report for Approximation Theory for Neural Networks: Old and New

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

arXiv:2605.21451 · pith:2026:P4XSS2QQ32Q4ZCYEUGYTVPVAKJ

0Critical
0Advisory
8Detectors run
2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 06:01:51.443550+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 05:50:20.697011+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 03:22:40.541026+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-21 17:33:20.495541+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-21 05:50:34.294088+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-21 03:50:08.098768+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 02:52:12.263160+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 02:33:31.083661+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/P4XSS2QQ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.