[KongchangAI]
Unverified50% confidenceBenchmarkExact time

In the setting with condition number 100, when the factors are generated before the readout scaling, RC-DS raises the average sparse factor recovery rate from 0.506 to 0.913, against a baseline of centered logit training under the same budget.

1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen

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