Despite its abstract, the manuscript derives no new quantitative results: it relabels standard variational inference and known learning mechanisms as a 'Context-Content Uncertainty Principle' and skips the key equivalence proof.
Representation learning: A review and new per- spectives,
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Structural Decoupling: A Scaffold-Flow Theory of Generalization and Alignment
Despite its abstract, the manuscript derives no new quantitative results: it relabels standard variational inference and known learning mechanisms as a 'Context-Content Uncertainty Principle' and skips the key equivalence proof.