Structural Dependency: From Physics to Alignment Architecture

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Authors: Taylor Prather
Cited by: 2
References: 3

Abstract

This paper bridges the prior law stack into engineering by mapping the four PIEC constraints onto AI alignment architectures. It analyzes multiple architecture classes in terms of feasibility, channel irreducibility, sustained exogenous access, and corrective authenticity, and introduces the ideas of corrective ecology, amplification over substitution, and the complexity-starvation threshold as bridge-level engineering concepts. The focus is not on proving a single favored architecture, but on showing how physical correction constraints translate into architectural requirements and vulnerabilities.

Fields of Study & Subjects

Physical Unclonable Functions (PUFs) and Hardware Security Adversarial Robustness in Machine Learning Security and Verification in Computing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 April 2026
Language
EN
Document type
Preprint