许多关于“科研智能”的讨论聚焦在更好的工具调用或更精准的检索上。UniScientist 则在更本质的层面展开工作。团队将开放式科研过程建模为一个基于两个基本操作的动态系统:主动证据整合(Active Evidence Integration) 与 模型溯因(Model Abduction)。
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Condition is designed to check the current value when a consumer wakes up. That's fine when state only moves forward, but it falls apart when transitions are fast. When the setter changes state, it calls notify_all(), which schedules wakeups for every waiting consumer. But in a single-threaded event loop, no consumer actually runs until the current coroutine yields. If the value changes again before that happens, consumers wake up and re-evaluate their predicate against the current value, not the value that triggered the notification. The predicate fails and the consumer goes back to sleep, potentially forever.