Integrity report for Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir

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

arXiv:2605.04948 · pith:2026:AWBWG7T2LTPT5NTGNFJKGBBKTG

0Critical

0Advisory

3Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 10:40:00.944081+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 21:31:19.942052+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 13:59:48.104064+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/AWBWG7T2LTPT5NTGNFJKGBBKTG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.