The study demonstrates a new theory for managing complexities in formal systems, indicating significant implications for algorithmic control.
This paper presents a complete constructive theory that transforms classical metamathematical limitations into objects of algorithmic control. The main results: (1) Universal Parameterization (UPF): explicit construction of a countable tower of formal systems ₙ\ based on LK, where any FDS P of complexity m is strictly isomorphic to U(n, α) with n ≤ 4m²+2, |α| = O(m³ log m). The parameterization induces a complexity metric $d(P,Q)$ allowing quantitative comparison of systems. (2) Theory of Reflexive Impasses: formalization of RT(P,φ) states where φ is undecidable in P and any syntactically admissible extension, with proof that such impasses are pervasive in Gödelian hierarchies. We establish an exponential lower bound on overcoming cost: upf-comp(P') ≥ n + 2Ω(√m). (3) Metaprotocol M: minimal sufficient specification for constructively working with hierarchies and impasses, proven minimal in the class of impasse-overcoming systems. (4) Hierarchical Prompt Verification (HPV): formal computational model isomorphic to M, defined as networks of oracle Turing machines with verification graphs. (5) Complete constructive pipeline: recursive algorithm for synthesizing systems resistant to reflexive collapse, with proofs of correctness and local termination. The theory shifts metamathematics from descriptive analysis to operational management, providing a toolkit for engineering reflexive systems with measurable complexity guarantees.
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Daniil Osipenkov (2026) studied this question.