truncated-step-level-retrieval-reasoning

Improve credit assignment in retrieval-augmented reasoning by truncating trajectories at single decision points. Generate k samples sharing a common prefix, differing only at the next step to isolate variation and reduce gradient variance by T-fold on T-step tasks.

Independent GitHub snapshot · Automated classification · Original documentation governs