Critical cyber-physical systems (CPS) require evidence that spans software correctness, timing behavior, communication discipline, and hardware eciency. This paper proposes a verication-oriented framework for what we term topological coherence, understood operationally as the consistency of constraints and state transformations across heterogeneous CPS layers. Rather than claiming full end-to-end certication, we present a contract-based methodology that links representative ISO C kernels, ACSL specications, Frama-C analysis, and hardware-in-the-loop (HIL) observations collected on an evaluated setup. Four illustrative layers are considered: a sample-preserving medical rectier, a bounded queue admission module, a memristive crossbar computation kernel, and a swarm-state normalization core. We show how preconditions, postconditions, frame conditions, and loop invariants can be used to formalize implementation-level obligations, while experimental observations provide workload-specic evidence regarding latency, queue behavior, and eciency. The contribution of the paper is methodological: it oers a reproducible way to align architectural intent, low-level code, and preliminary HIL measurements without overstating what formal proof or empirical testing alone can establish