Qwen2.5-7B-Instruct fine-tuned (SFT → GRPO RL) to generate research proposals from a reading list (top-k references conditioning). RL reward = perplexity-based signal (PPL of the target paper's abstract under the proposal) from the V1 proposal_rl pipeline; this checkpoint is the best hyper-parameter variant of experiment exp17_top_k_refs_ppl_rl (lr 5e-6, KL 0.01; mean reward 0.3287 across the sweep).

Research-ideation experimentation. Proposals are on-topic and reference-grounded but the project's own benchmark analysis found pass@k-style implementation benchmarks only weakly reflect proposal quality (see repo reports). Not for factual claims; outputs are synthetic research ideas.