zenodoPreprint2026-07-28
Importance for Retention Is Not Importance for Acquisition: A Falsifiable Test in Neural Networks
Neural networks are empirically successful and mathematically only partially understood. This gap is often discussed as a single undifferentiated mystery, which makes the field feel either more solved or more mysterious than it actually is. We decompose the mystery into four dist…