Tools for distribution-aware and city-adaptive analysis of learning-based road-network distance estimates. Provides detour-factor diagnostics, a Topological Predictability Index, upper-tail summaries, modular robust losses, hybrid objective components, adaptive validation weights, and multi-criteria model evaluation. The functions are designed as reusable building blocks rather than a fixed model specification.