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Integrity report for PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes

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

arXiv:2605.16860 · pith:2026:3DFFD73LNAG5VH23IBXOK56MAA

0Critical
0Advisory
5Detectors run
2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 21:02:49.007392+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 21:42:50.100965+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 19:23:06.258231+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 19:02:33.474950+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 18:33:26.381489+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/3DFFD73L/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.