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d_model 448, 8 layers) that back the paper's
mechanistic results: the recovery ablation, the multi-epoch repetition ladder (1 to 20
epochs on a fixed 75M-token pool), the technique arms, and the fresh-data baselines. Each
file is bfloat16, paired with its FP16 twin where relevant. These are provenance artifacts for
reproducing the tables and figures, not standalone models. See
https://github.com/lupodevelop/echo-1.58 for the code that consumes them and
results/RESULTS.md for the numbers.fp16_e{1,5,10,20}.pt, tern_e{5,10,20}.pt, rec_e{5,10}.pt repetition ladderrec_e5_lr3.pt, tern_e5_lr3.pt, rec_e5_vsched.pt, rec_e5_lr8.pt, rec_e5_rewarm.pt
technique and learning-rate arms