What question did this study set out to answer?

This release aims to formalize the MAV-MCC General Theory v4.0 with a focus on predictive modeling without refit adjustments.

January 27, 2026Open Access

MAV-MCC Generale (vNext): Boundary Bridge + Grav-AB No-Fit + Class-Scaling (FREEZE)

Key Points

This release aims to formalize the MAV-MCC General Theory v4.0 with a focus on predictive modeling without refit adjustments.
Integrates external validation tests from Chang 2012, Laurent 2012, and Liu 2021.
Implements strict NO-FIT governance in modeling processes.
Establishes Class-Scaling (NO-REFIT) for different material classes.
Achieved PASS-95 criterion for robustness in boundary laws across multiple materials.
Demonstrated effectiveness of one-time class calibration for predictive modeling.
Enhanced reproducibility through public access to verification scripts and datasets.

Abstract

MAV-MCC General Theory — v4. 0 (FREEZE): Boundary Bridge (L0+EM + boundary action) with strict NO-FIT governance and Class-Scaling (NO-REFIT) per material class. Includes external validation tests: Chang 2012 (Au–Au), Laurent 2012 (Au–Au vs Au–Si, 4. 2 K), Liu 2021 (graphene thermal case), digitized into reproducible CSV tables. Continuity: new version of 10. 5281/zenodo. 18289899; supplement to 10. 5281/zenodo. 18070901.: : contentReferenceoaicite: 0index=0 Release v4. 0 (FREEZE): integrates external tests (Chang 2012, Laurent 2012, Liu 2021) and formalizes Class-Scaling (NO-REFIT) per material class. MAV-MCC General Theory — v4. 0 release. ## Abstract / ScopeThis release formalizes MAV-MCC Generale (vNext) as a restart-grade, audit-ready package. It consolidates the “Boundary Bridge (L0+EM + boundary action) ” scaffold, enforces strict NO-FIT governance (incl. null-test logic), and introduces Class-Scaling (NO-REFIT) as a predictive layer by material class. ## What’s inside (source-of-truth) - Canonical master table (CANON): datasets, parameters (A, B, S), PASS/FAIL metrics, and links to “truth” CSVs- External validation set #1–#3 (digitized into reproducible CSV tables): - Chang 2012: Au–Au AFM (force-gradient) - Laurent 2012: Au–Au vs Au–Si (cryogenic) - Liu 2021: graphene thermal case- Deterministic rules: - PASS-95 criterion - normalized residual r95 - s1 sign rule (NO-FIT) - Class-Scaling rules per class (C1/C2/C3) - Verification scripts for quick reproducibility checks ## Key claims (operational, test-based) - Boundary-law robustness across multiple materials (PASS-95 in frozen truth datasets) - Exit from post-hoc tuning via strict governance and independent null-test logic- Class-Scaling: one-time class calibration, then NO-REFIT predictions on external datasets (audit trail included) ## How to use1) Download the ZIP2) Start from the SPEC3) Treat CANON as source-of-truth4) Run verification scriptsAll external tests are included as CSV tables under `data/externalₜests/`. Continuity- Is new version of: 10. 5281/zenodo. 18289899- Is supplement to: 10. 5281/zenodo. 18070901 How to cite: De Franco, Gianni. MAV-MCC Generale (vNext): Boundary Bridge + Grav-AB No-Fit + Class-Scaling (FREEZE) (v4. 0). Zenodo. https: //doi. org/10. 5281/zenodo. 18367044

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