This publication presents the Keelcore Stability Machine (KSM) — a structural safety and admissibility layer for autonomous systems operating in high-responsibility domains, including transport, aviation, medicine, and heavy industry. Current autonomous systems operate on probabilistic inference: when sensor data is degraded or ambiguous, the system estimates confidence and acts. In high-responsibility environments, this assumption is structurally insufficient. KSM proposes a different rule: a system must not output an action command from a zone of structural uncertainty. The core mechanism is Sacred Zero — an operational state, not a fault condition, in which the system slows its operational clock, holds the last validated safe state, and refuses to issue action commands until observability is restored. This property is enforced by the mathematical structure of the alignment tensor, not by software policy. KSM produces three verdicts: PASSED (action permitted), SACRED ZERO (hold last valid state, no action), and COLLAPSE (structural halt, human intervention required). The alignment score A(τ) is computed across eleven telemetry metrics including Ollivier-Ricci curvature, topological tension, persistent entropy, and robustness cost. The publication includes three documents: a human-layer introduction, a mathematical framework specification, and a machine-readable AI Index. The physical substrate reference is Tetrahedral Computing Architecture v1.0 (TCA, DOI: 10.5281/zenodo.19656438), based on synthetic berlinite (AlPO₄). Integration interfaces for MAVLink and ROS2 are specified. This work is part of the Geometry of Power structural corpus (root DOI: 10.5281/zenodo.19108892). KEYWORDS
ANDREY STANKO (Mon,) studied this question.