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Integrity report for MoE-dqINR: A Unified Mixture-of-Experts Implicit Neural Representation Framework for Scan-Specific Dynamic and Quantitative MRI Reconstruction

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

arXiv:2605.31302 · pith:2026:3UJJJSLTEY47JFTIISS34QSJJT

0Critical
0Advisory
5Detectors run
2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 15:29:03.518885+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 01:55:40.330108+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 01:50:47.982527+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-01 01:50:16.314729+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 01:35:04.445204+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/3UJJJSLT/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.