Integrity report for Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability

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

arXiv:2605.30103 · pith:2026:MR6O4MDS7HTMEMJYU5YKUGW5QZ

0Critical

0Advisory

5Detectors 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 03:35:50.218725+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-03 12:48:25.045377+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-31 09:50:44.183895+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-30 01:50:05.529327+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 06:24:18.544866+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/MR6O4MDS/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.