F²T (Fractal Flux Temporal) + DRE- Perturbation, Drift Detection, and Eliminative Work Under Constraint

This paper defines the joint role of F²T (Cycloid Temporal Perturbation) and Dynamic Recursive Entropy (DRE) within a constraint-first bridge architecture. The contribution is infrastructural. F²T is a structured temporal perturbation probe. DRE is a recursive admissibility diagnostic. Coupled together, they test whether controlled variation is converted into eliminative structure under constraint. This pairing does not: * explain learning, * generate knowledge, * replace host-domain models, * introduce ontology, * or define a standalone training algorithm. It remains subordinate to host-field primitives. The invariant is central: variation is admissible only if it produces eliminative structure F²T produces measurable perturbation. DRE emits a classification over resulting behavior. Termination is enforced externally by the architecture. ⸻ 1. Introduction The architecture defines: * System A: entropy-generating candidate space * System B: constraint application and elimination * RRU-C: executable recursion runtime * Straight-Line Boundary: non-applicability condition * Bridge Language: constraint transport across domains Within this structure: recursion is admissible only when it produces eliminative work DRE detects violation of this condition: * entropy persists, * falsifiers do not emerge, * elimination does not occur. These states are observationally underdetermined without perturbation. F²T is introduced to force measurable system response. The pairing increases observability under constraint.