Integrity report for LLM-XTM: Enhancing Cross-Lingual Topic Models with Large 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:2605.03299 · pith:2026:7TBMW4D7UA2FJHQ6BVWUIAO222

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 14:34:19.584112+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 01:31:21.520561+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 15:29:23.402950+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/7TBMW4D7/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.