{"ts":1791091659.1562986,"verdict":"failing","success_rate":0.0,"sample":"0/25","successes":0,"total":25,"top_failure":"TIMED_OUT","alignment_mean":null,"cpu_percent":16.7,"resource_bound":false,"recommendation":"0/25 campaigns succeeded; dominant failure: TIMED_OUT — escalate corrective campaign to SEA","should_escalate":true,"training_eval":{"total":10,"accepted":0,"rate":0.0,"last_delta":null,"last_stage":"train_failed","last_model":null,"trend":null},"training_note":"training: 0/10 imprints took (last ΔNone) — recipe/actor too small to learn, not a compute problem","self_improvement":{"version":1,"healthy":true,"applied_since_last":false,"applies":0,"changed_by_loop":false},"si_version":1,"last_escalation_ts":1791082286.8520055,"last_escalation":{"ts":1791082286.8520055,"goal":"Self-eval feedback: only 0/25 autonomous campaigns succeeded recently, dominant failure mode 'TIMED_OUT'. Diagnose the root cause of this failure mode and propose a concrete, low-risk fix that raises the campaign success rate. Prefer addressing the failure mode directly over adding scope.","trigger_sample":"0/25","failure_mode":"TIMED_OUT","status":"campaign_started","result":null},"alignment_mean_live":0.835276,"alignment_samples":100}