Aure Ecker-Fils

Identity in Machine Learning: Anomaly, Anatomy, Substrate‑Rooted Fingerprint, and the Topology of Execution

2026 · Zenodo (CERN European Organization for Nuclear Research)

Modern machine‑learning systems exhibit recurrent patterns of persistence, drift, collapse, and leakage that cannot be explained by weights, prompts, or seeds alone. Across architectures and hardware substrates, independent literatures report reproducible timing signatures, behavioural invariants, …