metadata
title: MR-9B Scaffold — 0/7 Trajectories
emoji: 🔬
colorFrom: red
colorTo: indigo
sdk: static
app_file: index.html
pinned: false
license: mit
short_description: How MR-9B explores SODA-2026 problems 0-step FA can't solve
MR-9B RL scaffold on the FA-0-zero SODA-2026 problems
A static trace viewer for the 44 SODA-2026 standalone_hard (proof_writing)
problems that the RL policy meta-learning-llms/MR_9B_rl_215_step45 scored 0/7 on
all 8 samples with a 0-step final answer — after excluding 9 rows with broken
(Total: 0) rubrics that score 0 by construction.
Each trajectory is the full 8-layer MR/E/FA scaffold (MR/FA = the RL policy,
E = frozen MR_midtrain_9B_v3). It shows, in order:
- the problem + its ground-truth rubric + reference solution,
- the final answer, its judge score (gpt-oss-120b), and the judge's reasoning for that score,
- then the MR/E exploration — per-layer directions, planner CoT, assembled frontier, and each executed direction's finding + summary.
With one attempt the scaffold rescues 13/44 of these (vs 0/8 for FA-0).