For example, a critical engineering challenge lies in the high-dimensional mapping of 'Logical State'. While Algorithm 1 defines the logic, implementing Calcul

For example, a critical engineering challenge lies in the high-dimensional mapping of 'Logical State'. While Algorithm 1 defines the logic, implementing CalculateDistance() for a modern LLM involves normalizing vectors from a massive latent space in real-time. Doing this without adding significant latency to the inference loop is a non-trivial optimization problem. I invite ideas on how to architect this 'Observer' layer efficiently.