Integrity report for Rethinking Post-Training Recipes for Multimodal 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:2605.29401 · pith:2026:AEA64REB67ZEGZCH7EXHLCNI4U

0Critical

0Advisory

4Detectors 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 05:35:51.063556+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-03 18:48:34.981680+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-31 23:50:47.818195+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 16:54:48.639379+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/AEA64REB67ZEGZCH7EXHLCNI4U/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.