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Information-Induced Training Geometry: Exact Reduction, Canonical Completion, and Structured Expressivity
Training data constrains optimizer geometry through the covectors visible to a declared information channel. We study how such partial information determines a full positive cometric relative to a reference and which degrees of freedom remain unidentified. Our central result resolves full-column-ran
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