Unverified50% confidenceFactExact time
Cumulative sensitivity describes the error amplification effect along the solving dependency chain: when a mechanism is solved by multiple modules in series, the prediction errors of preceding modules propagate through the interfaces and may be amplified by subsequent modules.
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10/30/2026
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Related Claims
UnverifiedA correlation sensitivity analysis shows that highly dependent model errors weaken the gains from diversification.74% similarUnverifiedChaining multiple models is a cascading error structure: if any link's output deviates from expectations, downstream links amplify the problem, and retry costs accumulate with the number of links.71% similarUnverifiedThe potential risk of multi-agent architecture is that if the coordinator, as an LLM, misunderstands instructions, errors will propagate downstream, and such issues are harder to diagnose than errors from a single model.71% similarUnverifiedInferring expert overlap from tokens/sec confounds multiple variables such as acceptance rate, overlap, kernel efficiency and communication overhead, making it impossible to locate the bottleneck.71% similarUnverifiedThe unreliability of each link in the chain amplifies rather than cancels out, which in reliability engineering is known as series system failure.71% similar
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