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Integrity report for Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management

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

arXiv:2605.29733 · pith:2026:YN5M5XGGEBNDWXAVT6YTQ2VOGL

0Critical
0Advisory
5Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 04:35:50.938711+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-03 15:08:28.736095+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-31 01:50:40.725781+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-29 01:50:02.293148+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 01:24:16.008134+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/YN5M5XGG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.