pith. sign in

Integrity report for Transfer Learning using 66 Diseases for Disease Forecasting Applications

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

arXiv:2605.27269 · pith:2026:JQRKZDAJJ5ETOZMKDC74DF7PGM

0Critical
0Advisory
6Detectors run
2026-06-03Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 03:35:24.642271+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 09:27:16.350379+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-27 23:31:35.752579+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-27 13:49:58.891822+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-27 05:50:19.444303+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-27 03:53:35.521375+00:00

Findings

No public integrity findings for this paper.

Signed record

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