Phase 13 Stage 1: pivot to winner's pattern - TRL 0.29.0 + fast_inference=False + DAPO loss

Phase 13 Stage 1: drop vLLM, use Kaggle native torch 2.10, upgrade trl to 0.18+ (Kaggle dep compatibility)

Phase 13 Stage 1 prep: Kaggle runbook + Run 1 config pre-populated (notebook audit flags pending approval)

docs: correct gpt-oss baseline overclaim — tiered win thresholds, cumulative is diagnostic not trophy

docs: correct overclaim in gpt-oss baseline — honest win thresholds

Phase 13 prep: ollama provider + gpt-oss:120b baseline eval (3 seeds × 6 scenarios)

Phase 13 prep: 5-seed baseline evals + Kaggle Stage 1 kickoff checklist

docs: log Phase 11 M-tier scenarios (cumul=1.988 > E-tier 1.284, discriminability three-tier)

docs: clean BUILD_LOG phases list + point to TRAINING_LOG; cross-ref Section 1 partial data

docs: log Phase 10 HF Space deploy (production step_shaping=0.1000 verified)

docs: log Phase 9 results (discriminability gap 0.348 shaped, env validated)

docs: add TRAINING_LOG.md template + training_logs dir for Phase 13 discipline