d26 base with the pirate 2x2 planted prior — full dose, window 50–75% (exp-074)

• Data: Eugleo/pretraining-priors-pirate-2x2 — 4 corpora × 346,112 train documents = 1,384,448 documents = 388,109,202 tokens = 4.23% of the 9,184,215,040-token stream — the anchor's full dose; only the insertion window differs. Group size 4, insertions uniform within the window.
• Model: d26 at token ratio 10 (model=d26_r10), sequence length 2048, 9,184,215,040-token stream; trained on 8×H200 on charmander.
• Training commit: 41de86425450676dc4d5702fd2955d8fd734331a, config conf/data/pirate2x2_50_75.yaml (export/conversion code ran at commit 287693b684ec8bc73d4af219bd59ee7b3bbaf2ef), arm hash cdab6ab6117e, checkpoint step 8,758.
• Base CORE: 0.2501.
• Conversion: ppriors/hf_export/convert.py (bf16 safetensors, custom trust_remote_code modeling files). Logit/tokenizer/bpb/KV-cache equivalence against the nanochat checkpoint verified on GPU: logit max abs diff 0.00e+00; converted val bpb 0.722292 (training-time record 0.722278). Results in verify_results.json, uploaded alongside the model on HF.