Integrity report for LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models

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

arXiv:2605.17653 · pith:2026:XPILMLRJ625XSO3XSO3EDTAEFF

0Critical

0Advisory

6Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 14:02:15.477270+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 14:01:24.668111+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 22:22:35.535199+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 21:49:44.274983+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 21:33:23.545382+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-19 21:21:57.463738+00:00

Findings

No public integrity findings for this paper.

Signed record

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