Rank #559 · on radar since 2026-07-03
RewardHarness
Self-evolving agentic reward framework for image-editing evaluation — 47.4% on EditReward-Bench from only 100 preference demos, no reward-model training. arXiv 2605.08703.
Visit homepage ↗preference-learningreward-modelself-evolvingqwen-vl+5
Momentum
42.2
24h–7d–
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.438 |
| Signal decay | 0.995 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
github · forks1 latest · 2 snapshots
github · stars14 latest · 2 snapshots