| ID | Hypothesis | Score | Model | Verdict |
|---|---|---|---|---|
| iter-1 | ```markdown # Sweep Lottery — Research Strategy # Track: lottery | Domain: gener... | 1.0000 | gemini | ITERATE |
| iter-2 | ```markdown # Sweep Lottery — Research Strategy # Track: lottery | Domain: gener... | 1.0000 | claude | ITERATE |
| iter-3 | ```markdown # Sweep Lottery — Research Strategy # Track: lottery | Domain: gener... | 1.0000 | gemini | STOP |
CONTINUE The composite score of 1 indicates poor overall performance despite 9 experiments and improvements, with key open questions on referral splits and user journeys unresolved. Adversarial simu
CONTINUE. Adversarial simulations are entirely absent, leaving critical attack vectors untested and exposing risks like self-referral abuse that could undermine the system's integrity. Focus next iter
STOP: The composite score of 1 indicates poor overall performance despite running 9 experiments with improvements, and the failed Claude synthesis suggests technical issues. The empty adversarial simu