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DP-BOA redefines category discovery by treating the birth of new categories as a statistically supported decision rather than a mere fallback.
Current AI agents struggle to reliably rediscover scientific knowledge, with top performers averaging only 21.5 out of a possible score, revealing critical gaps in their research capabilities.