Unverified50% confidenceFactExact time
LLM output may have invisible tokens such as newline characters, spaces, or zero-width spaces appended at the end, causing strict string equality checks to fail.
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedLLM output is non-deterministic; due to the non-associativity of floating-point operations and differences in context windows, even with identical inputs, outputs are difficult to reproduce exactly and do not possess idempotency.78% similarUnverifiedLLM call chains are long and highly non-deterministic, and a single failure may originate from any one of the following: prompt, tool call, context truncation, or model hallucination.68% similarUnverified由于 LLM 输出的非确定性，传统断点调试几乎无效，基于信号日志的回放调试是业界更具实践价值的替代方案67% similarUnverified大量软件故障发生在输入值处于极端情况时，例如空字符串、零值、最大整数溢出等场景65% similarUnverifiedWhat the large model sees is only a string, and it lacks reliable signals to determine whether a tool call succeeded, failed, or partially completed.64% similar
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