Universal Stability Sieve (USS): large A Structure-First Diagnostic for What Can Persist

Universal Stability Sieve (USS) proposes a structure-first diagnostic framework for evaluating whether a system—chemical, biological, technological, or civilizational—can persist under real operational constraints. Rather than focusing on intent, intelligence, or alignment, USS treats stability as a constraint satisfaction problem: whether a system can saturate, pause, roll back, and tolerate multi-interface coupling within a finite temporal window (Δt). The framework formalizes stability as an interface-level property and identifies non-intentional release (NIRM) and interface freezing / lock-in (IFST) as inevitable outcomes when structural constraints are violated. Worked examples include the periodic table as a low-risk stability template and a minimum admissibility sieve for AI / AGI systems. USS reframes collapse not as a moral or narrative failure, but as a predictable consequence of temporal miscalibration, excessive coupling density, and the removal of rollback pathways. Alignment and value consistency are treated as secondary constraints, meaningful only after structural admissibility has been established. USS is a diagnostic filter for admissibility, not a predictive engine and not a normative theory.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-21
DOI
https://doi.org/10.5281/zenodo.18325687
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
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article

Universal Stability Sieve (USS): large A Structure-First Diagnostic for What Can Persist

Chen Ruotong
Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Universal Stability Sieve (USS): large A Structure-First Diagnostic for What Can Persist

Chen Ruotong
article en

Abstract

Universal Stability Sieve (USS) proposes a structure-first diagnostic framework for evaluating whether a system—chemical, biological, technological, or civilizational—can persist under real operational constraints. Rather than focusing on intent, intelligence, or alignment, USS treats stability as a constraint satisfaction problem: whether a system can saturate, pause, roll back, and tolerate multi-interface coupling within a finite temporal window (Δt). The framework formalizes stability as an interface-level property and identifies non-intentional release (NIRM) and interface freezing / lock-in (IFST) as inevitable outcomes when structural constraints are violated. Worked examples include the periodic table as a low-risk stability template and a minimum admissibility sieve for AI / AGI systems. USS reframes collapse not as a moral or narrative failure, but as a predictable consequence of temporal miscalibration, excessive coupling density, and the removal of rollback pathways. Alignment and value consistency are treated as secondary constraints, meaningful only after structural admissibility has been established. USS is a diagnostic filter for admissibility, not a predictive engine and not a normative theory.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 83%
Embodied and Extended Cognition
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Universal Stability Sieve (USS): large A Structure-First Diagnostic for What Can Persist — Chen Ruotong · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS