This is the post-v0.6 roadmap. Completed RecoveryBench, Consumer Runtime,
Alignment Lab and pinned verl-bridge work lives in PROJECT_STATE.md and
CHANGELOG.md, not in this active list.
- External alignment issue #39: v0.7.0 preregistered and executed the starting-checkpoint gate, which failed before teacher/method training. Method-level coverage, evaluator qualification and the reserved final test remain unexecuted; keep the issue open without treating a follow-up study as committed work.
- Evaluate a less saturated task family with at least three prespecified seeds, eval-only selection and a reserved one-read test split.
- Extend matched-budget JSON-navigation and SQLite evidence only when the design adds information beyond the published RecoveryBench study.
- Repeat the measured GPU recipes on Linux; do not treat the expected throughput improvement as measured until those artifacts exist.
- Cross-tokenizer distillation with an explicit alignment contract.
- Batched or engine-backed rollout decoding; v0.4 batches update forwards, while rollout generation remains deliberately sequential.
- Additional tested model families beyond Qwen2/Qwen3.
- Entropy-aware divergence mixing after a prespecified experiment; current code records teacher entropy but does not implement the method.
- A maintained GPU CI runner. GPU tests remain opt-in until real CUDA infrastructure is configured.
Multi-GPU training, Ray, FSDP, DeepSpeed, vLLM and PPO/GRPO remain intentionally out of scope; use verl or another distributed training system for those needs.