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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Reflexivity Boundary: Why Recursive Self-Improvement Requires External Stabilization

Authors: Rassiysky, Andrey;

The Reflexivity Boundary: Why Recursive Self-Improvement Requires External Stabilization

Abstract

This preprint establishes a structural boundary on recursive self-improvement, showing that transitions which redefine a system’s admissibility constraints (L4 semantic jumps) cannot be internally stabilized by a closed single-observer system. The result is formulated within the Scope–Invariance Geometry (SIG) framework and relies on prior notions of semantic stabilization and admissibility retyping developed in Semantification. The paper is intended as a foundational boundary result within the SIG research program.

Keywords

Operator-Based Systems, Reflexivity Boundary, Semantic Stabilization, Recursive Self-Improvement, Scope-Invariance Geometry, Semantification, L4 Transition, SIG

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average