Definition: Computational interventions

For a fixed baseline checkpoint:

1. Regrowth chooses inactive positions using specified scores, activates an exact integer count, initializes their weights, and applies a specified consolidation map.

2. Noise-scheduled adaptation retains the mask and trains under a specified hidden-noise schedule, minibatch sequence, and optimizer-reset convention.

3. Activation modulation changes $a$ and possibly $\phi$, then applies specified consolidation while retaining the mask.

Each map includes its exogenous random inputs.