Verified75% confidenceConceptExact time
Error cascading refers to small judgment deviations in early steps being progressively amplified as the reasoning chain extends, ultimately producing results far from what was intended.
3
Sources
75%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
LangSmith Engine：自动诊断并修复Agent故障的智能运维工具
twitterhwchase177/2/2026
Related Claims
VerifiedWhen an autoregressive model produces an erroneous intermediate conclusion early in the reasoning chain, it causes subsequent steps to accumulate errors, forming an error accumulation effect.80% similarVerifiedAgents face the problem of error cascading: judgment errors in early steps are amplified exponentially with the number of iterations.80% similarUnverifiedAgent链式调用多步之后，每次LLM输出的细微差异导致误差逐步放大，最终结果偏离预期79% similarVerifiedIn autoregressive prediction, errors at each step accumulate into the next, causing long-range predictions to degrade rapidly.78% similarUnverifiedHigh error rates in the early stages may cause the router to prematurely abandon certain experts whose answers could have brought high value once the correction function is learned, forming a self-reinforcing negative feedback loop.77% similar
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