Quantifying graceful forgetting and guaranteeing minimum retention

Characterize and quantify graceful forgetting in the Tri-Memory Continual Learning system and derive minimum memory retention guarantees that prevent regressions in core functionality during ongoing on-device adaptation.

Background

Graceful forgetting is used to reclaim capacity while mitigating catastrophic forgetting, but formal measurement and guarantees are not specified. For safety-critical or user-facing applications, predictable bounds on retention are important.

The authors explicitly ask how to measure graceful forgetting and what minimum retention guarantees can be offered, indicating a need for metrics and theoretical or empirical assurances that essential capabilities remain intact over time.