Author

Yu-Erh Lin

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Preprint Jul 2026

From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision Theory

This work shows that an OLS action readout fitted on a fixed neural representation admits an exact case-based decomposition, and identifies a sufficient regime for CBDT similarity semantics; outside it, the coefficients should generally be treated as signed Gram-geometric influence.

Manli Yan, Yu-Erh Lin, Yaowen Yu et al. · 1 citation