Add SFT v3 + GRPO refine results to README + results.md

Refactor grader to use openenv.core.rubrics.WeightedSum + Rubric subclasses

Post-deadline: full eval results + bigger plots via Git LFS

Add SKIP_EVAL flag to sft_on_hf.py for faster training-only runs

Fix max_new_tokens for CoT format + add eval-only HF Jobs script

Algorithm Distillation: grader v2 with belief_accuracy + SFT pipeline

docs: handoff bundle for new chat session + iter 4 partial analysis

tooling: scripts/analyze_iter.py + docs/results.md template

iter3: align reward with grader + belief-first format + exploration shaping

iter2: fix mode collapse + 3 deeper bugs from code review

tune: GRPO hyperparameter fixes from ML reviewer

feat: FAST_MODE preset for 10-15 min iteration cycles

feat: HF Jobs training script + plot generator

env: meta-RL refactor (continuous profiles, action+belief, adaptation grader)

restore: validate-submission.sh to scripts/