AA-CDE Concept Disclosure Note (CDN-01)
Abstract
This technical note establishes prior art for a domain-independent methodological layer for forecasting depth-driven architectural collapse in AI reasoning pipelines and quantum circuits using cumulative frequency modeling, regime breakpoint detection, and extreme-value tail analysis. The disclosed material defines a new architectural governance layer that operates above physical and semantic execution substrates. No implementation details, proprietary parameters, source code, datasets, calibration procedures, or internal heuristics are disclosed.
Fields of Study & Subjects
Software System Performance and Reliability
Adversarial Robustness in Machine Learning
Artificial Intelligence Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 January 2026
- Language
- EN