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A General Binding Threshold for Persistence

Porter, Quinn
PhilArchive · Papers
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philosophy
This paper proposes a general, substrate-independent threshold condition for the emergence of persistence, identity, and self-stabilizing organization across physical, biological, cognitive, and symbolic systems. The central claim is that a system begins to maintain itself when its internal restoration rate exceeds the rate of externally imposed disruption according to the relation τself⁻¹ ≥ κΓdisruption where τself is the characteristic timescale of internal restoration, Γdisruption is the rate of environmental degradation, scattering, or decoherence, and κ is a dimensionless coefficient determined by boundary geometry and organization. When this threshold is crossed, a system’s future state becomes more strongly determined by its own prior configuration than by ongoing environmental disturbance. The result is the emergence of a self-preserving interior capable of maintaining structure through time. The framework treats persistence as a dynamical achievement rather than a property of material composition. Systems remain coherent not because of what they are made of, but because restorative processes continually reconstruct the organization that defines them. Examples from lipid vesicles, morphogenetic repair, phonological attractors, and recurrent neural dynamics illustrate how structurally different systems can satisfy the same relational condition. In each case, stable identity emerges when restoration consistently outruns disruption under the constraints imposed by an active boundary. The threshold provides a unified interpretation of persistence across scales. In protocellular membranes it corresponds to cohesive forces that restore boundary integrity faster than thermal disturbance. In biological development and regeneration it corresponds to processes that restore anatomical organization after damage. In language it corresponds to articulatory and acoustic attractors that preserve phoneme categories despite variation and transmission noise. In neural systems it corresponds to recurrent dynamics capable of sustaining stable attractor states and coherent activity patterns. Although the mechanisms differ, each system satisfies the same underlying relationship between restoration and disruption. The framework generates several testable predictions. Systems operating near threshold should exhibit intermittent coherence before stable organization emerges. Increasing restoration or reducing disruption should produce measurable transitions toward self-stabilization, while increases in disruption beyond threshold should produce abrupt losses of identity and coherence. Systems that remain above threshold should increasingly derive their future states from their own prior organization rather than from external perturbation. The paper argues that persistence, self-maintenance, and the emergence of stable identity may reflect a common structural condition operating across diverse substrates. The proposed threshold provides a general relational framework for understanding when systems begin to hold themselves together and maintain continuity through time.
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