Integrity report for Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting

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

arXiv:2605.20678 · pith:2026:6KG6ZGXMD6WIVY7L4CTCLUSXQ7

0Critical

0Advisory

6Detectors run

2026-05-24Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 06:32:27.583941+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 06:16:07.211988+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 04:43:19.134060+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 21:50:00.373583+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 14:51:17.793356+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 02:33:36.725089+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/6KG6ZGXM/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.