Geometric Attractor Classes as a Unifying Principle of Pre-Cognitive Biological Intervention

This paper proposes that existing pharmaceutical and dietary interventions targeting pre-cognitive biological architecture can be classified by geometric attractor class membership, and that this classification reveals a mechanistic distinction with predictive implications. Six geometric attractor classes are identified: the single hexagon class, the fused pentagon-hexagon class, the tetracyclic steroid backbone class, the retinoid hybrid class, the polyunsaturated chain class, and the fused imidazole-pyrimidine class. The cyclodextrin family is identified as a geometric neutralizer class whose cavity dimensions scale with attractor class complexity. Interventions operating at the level of the deficient geometric signal itself — corrective geometric interventions — are distinguished from compensatory geometric interventions that extend a deficient signal downstream without addressing its source. The framework's honest limits are identified explicitly, including pharmaceutical mechanisms (lithium, MAOIs, benzodiazepines) that do not reduce to geometric attractor class recognition. Falsifiable predictions are proposed. This paper is a companion to: Hilbert (2026a), "Aromatic surface geometry as a primary mechanism of nanoplastic endocrine disruption: A cyclodextrin competition hypothesis," and Hilbert (2026b), "Antibiotic resistance as a geometric phenomenon: A taxonomy of resistance mechanisms and counter-intervention by attractor class." No clinical claims are made. Preprint — not peer reviewed.