Integrity report for Ergodicity Library: A Python Toolkit for Stochastic-Process Simulation, Time-Average Diagnostics, and Agent-Based Experiments

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

arXiv:2605.13607 · pith:2026:V5Q3Y4IMKYTAIREBAJHIDM6LYD

0Critical

0Advisory

2Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 09:41:07.641049+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 22:42:15.930703+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/V5Q3Y4IM/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.