Research4h ago
New Metric Tracks AI Memory Success Rates
The Memory Worth (MW) primitive uses a two-counter signal to track how often specific memories co-occur with successful or failed outcomes. This replaces static importance scores with dynamic, outcome-based feedback. ArXiv researchers prove the metric converges to conditional success probability, allowing agents to suppress or deprecate stale data based on actual performance.