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Traditional LLM benchmarks can mislead, as they often fail to distinguish between different reasoning capabilities, collapsing multiple policies into a single equivalence class.
LLMs struggle to effectively integrate and order evidence in attack chain reconstruction, with top models only succeeding 39.6% of the time on critical tasks.
