Paper 119: Admissibility-Limited Causality and Axis-Resolved Attribution of Feedback-Maintained Coherent Rotation in a Governed 3D Transport Model
Abstract
Paper 119 upgrades rotation readout in the governed Holosphere transport model from a 2D, magnitude-only swirl diagnostic to an axis-resolved 3D vorticity diagnostic, without expanding the claim category. Building on the falsifier-grade attribution posture of Paper 118, we preserve the same licensing interface, numerical contract, and decision object, and change only diagnostic geometry by introducing a preregistered axis and cylindrical region of interest in a 3D periodic domain. The central question is operational and falsifiable: under contract-isolated matched controls, does feedback-attributable rotation still separate under a more discriminating axis-resolved readout that reduces ambiguity from shear, counter-rotation, and numerically induced curl? We report machine-checkable receipts (time-series KPIs, final-state fields, and summaries) with limiter audits treated as explicit constraints on claim strength. New evidence extends the audit beyond a single operating point: AF1 separation persists in targeted low-rail regimes, showing that limiter saturation is not required for organizer formation under the declared contract. Protocol-integrity controls further refine causal attribution: temporal shuffling of the reinforcement signal (PF1) collapses axis-parallel locking while activity persists, indicating that coherent closed-loop coupling is necessary for formation; replay of a recorded gate trajectory (PF2) preserves locking over the audited horizon without live coupling, supporting a scope-safe decomposition in which feedback is generative and gate geometry functions as persistent structural memory. Together these results support an admissibility-limited view of causality consistent with Paper 19: activity is permitted, but observer-facing influence is licensed only when it survives falsifiers under matched controls.
Fields of Study & Subjects
Complex Systems and Dynamics
Fluid Dynamics and Turbulent Flows
Nonlinear Dynamics and Pattern Formation
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026