LASER tracks low-rank activation subspaces in recursive models via matrix-free SVD updates and fidelity resets to save 60% memory without accuracy loss.
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LASER: Low-Rank Activation SVD for Efficient Recursion
LASER tracks low-rank activation subspaces in recursive models via matrix-free SVD updates and fidelity resets to save 60% memory without accuracy loss.