Verified75% confidenceTradeoffExact time
In multi-step automation scenarios, single-step errors caused by model hallucinations are amplified exponentially along the task chain.
3
Sources
75%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
Related Claims
VerifiedIn Agent chain-call scenarios, a hallucination at one step is inherited as fact by subsequent steps, causing errors to amplify and propagate along the pipeline.80% similarUnverifiedThe multi-step chained working mode of edge agents causes single-inference latency to be amplified across multiple steps.78% similarVerifiedThe phenomenon where minor deviations at each step of a multi-step task executed by an agent may amplify along the chain and lead to results far from the initial intent is called goal drift.77% similarUnverifiedStateful tool agents maintain persistent state across multi-turn interactions, with each tool call result written into the execution trajectory and influencing subsequent decisions, giving their errors a cascading effect.75% similarVerifiedIn scenarios where an Agent automatically executes multi-step tasks, a failure at one step can cause the entire workflow to fail or even trigger cascading erroneous operations.75% similar
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