Quantum Polycontextural Computing (QPC) is a hardware-agnostic orchestration layer that maps multiple labelled problem contexts onto one gate-model execution on commercial superconducting QPUs. We report three auditable hardware studies on IBM Heron (ibm_fez, ibm_marrakesh) under the IBM Open plan, each with published job identifiers and JSON artifacts: (i) a 46-qubit mastoparan-I folding pilot compared to a published trapped-ion BF-DCQO energy reference (−8.70); QPC Tier-D repair reaches −9.74 in one pass with eight recoverable job IDs; (ii) a controlled K-ablation on 16 qubits where polycontextural K=4 fits held-out Wang–Busemeyer joint statistics better than a matched K=1 control (bootstrap one-sided p<0.0005 on total-variation and KL); (iii) thirteen Runtime jobs demonstrating co-resident multi-context layouts from 4×39Q through 24 contexts in six cluster submissions. A supplementary transjunction ON vs OFF ablation at 3×26Q shows bridge-local inter-context correlators increase by |Δ|>0.05 when ring coupling is enabled, after QPC readout mitigation on bridge qubits only; full-width correlators do not separate conditions. We state limitations explicitly: QPC is not a new QPU; protein and cognition results are selective comparisons, not universal advantage claims; open-instance entropy alone does not signature the architecture.