pith. sign in

Integrity report for Detecting Time Series Anomalies Like an Expert: A Multi-Agent LLM Framework with Specialized Analyzers

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

arXiv:2605.05725

0Critical
1Advisory
4Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 13:42:04.702948+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 09:36:11.825129+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 20:01:19.584736+00:00
doi_compliance completed v1.0.0 · findings 1 · 2026-05-19 13:18:31.063764+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.05725/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.