subliminal-learning

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Artifact-backed experiments on the behavioral half-life of subliminal traits under recursive self-distillation.

Code to reproduce the results of the paper "Learning Through Noise: Why Subliminal Learning Works and When It Fails"

A controllable model of subliminal learning via log-linear signal accumulation

From-scratch NumPy MLPs for MNIST, plus a larger teacher–student setup that demonstrates subliminal learning (implementing Cloud et al. (2025)).

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