Clean-room NumPy reimplementation and full sweep harness for the ICML 2026 submission
l35QweVxgn (arXiv:2510.05573v2),
Taheri, Ghosh & Mazumdar.
The write-up lives in the Trackio logbook:
🚀 nmaher/repro-on-the-theory-of-continual-learning-with-gradient-descent-for-neural-networks.
This repo is the code and the raw numbers behind it.
