Why does the mammalian vascular tree maintain a conserved branching exponent across a -fold range in body mass, despite a fundamental shift from viscous to wave-dominated transport? We prove this universality cannot emerge from local optimization: any junction-level coupling of incommensurable costs requires scale-dependent fine-tuning varying by – across the hierarchy. Real networks resolve this through structural heterogeneity, and vascular geometry emerges as a scale-free attractor of a network-level minimax principle. Grounding the fitness penalty in ATP stoichiometry, we prove a Topological Rigidity theorem: the optimal branching exponent depends only on dimensionless structural parameters , independent of all metabolic quantities. A self-consistency condition on the viscous–inertial energy partition yields a dual-threshold framework with and . The symmetric model yields , in agreement with mammals near the allometric transition; morphometric heterogeneities shift large-mammal values toward . The framework explains developmental stability of cardiovascular networks as a consequence of architecture being decoupled from biochemistry.

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