The Trace Evolution Bench (TEB) is a protocol for evaluating self-evolving agents, separating the rescore from context or weight updates. It uses three frozen packs to validate updates and assesses the performance of several methods, including DeepSeek, GLM, and MiniMax. The results show that DeepSeek outperforms other methods in some cases, but none consistently stay above their own bands.