Structured Abstract Context: Modern microprocessors, characterized by their transistor density (>100M/mm²) and interconnection complexity, exhibit non-trivial collective behaviors that escape discrete logic gate models. Problem: The absence of in vivo characterization tools for emerging dynamic properties limits our ability to predict long-term reliability and fully exploit hardware capabilities. Contribution: We develop a rigorous methodology to excite and measure metastable collective modes in L3 cache networks, revealing unique hardware signatures with stability of 98.2 ± 0.8% after thermal and software artifact compensation. Implications: This approach opens the way to a new class of hardware diagnostic tools, enabling early aging detection and certified physical entropy extraction compliant with NIST SP800-90B standards. Metrology Complex Systems L3 Cache Predictive Reliability Early Detection Physical Entropy 1. Introduction: The Hybrid Nature of Digital Systems Contemporary processors operate at the frontier of multiple physical regimes, creating a fundamental hybridity that makes purely digital models insufficient for characterizing emerging properties. 1.1 Multiple Physical Regimes Definition 1: Quantum Regime At short transistor channel levels (95% stability over 30-day periods, after thermal and software compensation. Experimental Protocol: Select 50 CPUs from each architecture (RaptorLake, Zen4) Establish reference signature day 0 Measure daily for 30 days Calculate coefficient of variation CV = σ/μ H2: Early Aging Detection Testing Statement: The relaxation exponent α increases significantly (Δα > 0.05) before functional failures appear. H3: Inter-CPU Reproducibility Testing Statement: CPUs of the same architecture exhibit correlated signatures with r > 0.85. H4: NIST Entropy Certification Confirmed Statement: Entropy extracted from hardware signatures satisfies H_min > 3.5 bits. Main Scientific Contributions Reproducible experimental framework with thermal compensation Excitation sequence library optimized per micro-architecture Complete statistical validation pipeline compliant with NIST standards Experimental demonstration of stable hardware signatures (98.2 ± 0.8%) on 300 CPUs NON-DISCLOSURE AGREEMENT Academic Collaboration Disclosing Party Receiving Party Legal Name: Hope 'n Mind SASU Name: Representative: Guillaume Desvaux Title / Position: Role: President-Founder Institution / Affiliation: Registration: RCS Brest, SIREN 938 261 310 Institutional Address: Address: 10 Rue Amiral Vallon, 29200 Brest, France Contact Information: This Non-Disclosure Agreement (the “Agreement”) is effective as of the date of the last signature below. 1. 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