从实验到决策：自主编码研究中的证据复用
原标题：From Experiments to Decisions: Reusing Evidence in Autonomous Coding Research
AI 摘要
该论文研究自主编码智能体在实验后如何复用证据来指导下一步决策。作者重建了400任务NeuroGolf竞赛中的证据复用过程，发现智能体常将实验结论过度泛化，例如把仅证明新颖性不足的拒绝误读为已测得的封闭性，或使用过宽的排除理由。为此提出一种可检查的交接协议，将测试命题、适用范围、候选与评估者身份、检查状态和重开条件关联起来，并设计调度树与晋升谓词，要求每项检查既通过又有证据支持其用于当前决策。
正文节选
From Experiments to Decisions: Reusing Evidence in Autonomous Coding Research Abstract Autonomous coding agents can remember an experiment yet carry forward a conclusion it does not justify. We reconstruct how evidence is reused in a 400-task NeuroGolf campaign, with selected wellbore-prediction records from the same operator as cross-domain comparisons. A numerical counterexample exposes an overbroad exclusion; other episodes distinguish what failed, incomplete and revised programs justify doin