Attractor depth (β), formalized across the preceding papers in this series as the structural trace left by navigational history under counterfactual pressure, provides a precise account of the cost of exiting an identity configuration. It does not account for the cost of remaining in one. This paper identifies the navigational gap that β leaves open — the maintenance cost generated when a configuration is held in conditions whose range exceeds the geometry of its basin — and introduces γ (gamma), basin geometry, as a second, independent parameter of attractor stability. γ is formalized as a function of two measurable properties: Width (the range of states from which a Face attracts and maintains coherence) and Stickiness (the rate of return after perturbation). The paper demonstrates that adaptive identity stability requires not maximal depth but optimal geometry — a φ-proportioned basin in which the system absorbs contextual variation without losing configurational coherence. Three structural contributions follow from this formalization. First, the threshold βₕome is shown to be a two-parameter condition: depth is necessary but insufficient without geometric adequacy. Second, the distinction between β-erosion and β-restructuring provides the first formal account of why decreasing attractor depth is not uniformly a signal of instability — under specific conditions, depth loss is the mechanism through which geometry improves. Third, tipping point is formalized as geometric collapse: the condition in which γ deteriorates faster than β, producing the phenomenologically distinctive experience of recognizing a configuration that can no longer be inhabited. The paper closes by showing that γ modifies the transition calculus directly: ensemble maintenance load — the sum of TCₘaintenance across geometrically mismatched Faces — reduces the navigational resource available for directed movement, and accurate transition assessment requires computing both terms. The question of how basin geometries interact across an ensemble of simultaneously available Faces — ensemble geometry Γ — is identified as the necessary next step in building a navigation system that is operationally complete across the full topology of identity.
Alice Pau (Fri,) studied this question.
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