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It does not work because the errors compound and also are most times correlated.

"Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels" - https://arxiv.org/abs/2605.29800

"From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration" - https://arxiv.org/abs/2605.29800

"Large Language Models Cannot Self-Correct Reasoning Yet" - https://arxiv.org/abs/2310.01798

"Correlated Errors in Large Language Models" - https://proceedings.mlr.press/v267/kim25e.html

"Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings" - https://arxiv.org/abs/2607.13918

"Cross-Context Verification: Hierarchical Detection of Benchmark Contamination through Session-Isolated Analysis" - https://arxiv.org/abs/2603.21454

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