Training-free merged checkpoint from the Mergeability sweep (benchmark/emit_lm.py --real), produced by weight-space merging of two independently trained parents. No gradient steps were taken.

Parents were loaded, activations extracted on a shared calibration corpus, and the merge applied either naive (parents combined in their own coordinates) or aligned (parent B carried into parent A's residual-stream basis via common.alignment.residual_basis_map before merging — permutation for same-width pairs, orthogonal/rectangular for cross-width).

MS is the recovery score from common.eval.mergeability_score (merged vs. floor vs. ceiling), the same normalisation used by Zhou et al., so it is comparable across rows of the sweep.

Sub-1B merges are noisy; an aligned signal where the naive one is noise is the finding, not a bug. Rows without a joint ceiling are floor-relative and must not be read as absolute recovery.

Generated automatically — see the mergeschool repo.