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| Limitation | Mitigation | |------------|------------| | – high‑quality rendering (NeRF, DiffWave) is GPU‑intensive. | Distributed generation pipelines; pre‑computed “seed libraries”. | | Domain shift – subtle biases may still exist compared with proprietary data. | Hybrid training (synthetic + small real subset) or domain‑adversarial adaptation. | | KARINA quality variance – user‑contributed modules may differ in realism. | Formal verification checklist and a public rating system on the VMS‑K85 hub. | All models are trained on either synthetic or

“KARINA” denotes Knowledge‑Augmented Reusable INtegrated Add‑ons , a plug‑in system that allows researchers to embed domain‑specific simulators (e.g., a cardiac ultrasound phantom, a marine sonar model) without modifying the core codebase. KARINA modules expose a minimal API:

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