The method for constructing local hidden-state models in Jia et al. substantially overlaps with the 2025 framework by von Selzam and Marquardt beyond the level of citation provided.
Borrowing machine learning terminol- ogy, this can be achieved by minimizing the scalar loss function L(LHV || QM) = ⟨D[P QM(·|x), PLHV(·|x)]⟩x
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Comment on "A General Framework for Constructing Local Hidden-state Models to Determine the Steerability"
The method for constructing local hidden-state models in Jia et al. substantially overlaps with the 2025 framework by von Selzam and Marquardt beyond the level of citation provided.