Unverified50% confidenceFactExact time
The checkpointer saves the input before LLM inference, so persistence occurs even if the LLM does not answer, times out, or errors out
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50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
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Related Claims
UnverifiedDuring each inference, an LLM only processes the token sequence of the current input and does not retain persistent state across sessions (statelessness).78% similarUnverifiedIn the revision stage, LLMs can point out logical jumps, redundant sentences, or check whether arguments lack supporting evidence.75% similarUnverifiedLLM inference is stochastic (controlled by the Temperature parameter) and external tool call return values change over time; therefore, perfect deterministic replay requires simultaneously recording all LLM responses and tool return values.73% similarUnverifiedLLM 在处理复杂任务时容易出现幻觉和逻辑漂移，这与其自回归逐 token 预测机制有关，早期错误会被后续内容放大71% similarUnverifiedLLM驱动的规划循环在工具调用遇错且无明确退出条件时，往往会自主决定重试，因为重试在逻辑上总是合理的71% similar
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