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This paper introduces a strict step-level verification framework for evaluating research-level mathematical proofs using LLMs, addressing context poisoning and outperforming global evaluation. The approach shifts focus to deductive constraints and reveals that remaining errors are often due to pedantic hyper-rigor, exposing implicit ambiguities in benchmarks.