用于预测的相位结构特征的两个锁定测试
Two tests of phase-structure features for transition prediction
- ENTRUST AI（恩特拉斯特人工智能公司）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
该研究通过两项锁定测试验证旋转注意力相位结构的PC-2特征能否提升预测，结果显示其未达预设阈值，无处理方式通过进阶要求，未发现额外排名提升。
AI中文摘要：
一项已发表的旋转注意力相位结构理论成果接受了两项预先设定的实证测试，以验证相位衍生特征是否能在不使用这些特征的基线之上提升承诺或矛盾终点的预测效果。研究1冻结了矛盾类别流水线，并对PC-2与基线的密封主要比较进行评分，在1136个合格案例中，配对AUROC差值为+0.00087，99%置信区间包含0，差值未达到预先设定的+0.05阈值，未通过进阶要求。研究2仅在开放块b0-b4上开发了15种层处理方式（共1415个转换，20×5分组折叠），一项锁定的合取规则要求PC-2均值重复增量为正、5个种子块中至少4个的增量为正，且这5个差值的均值为正，无任何处理方式通过进阶要求，最终官方选择为无，该理论论文未撤回，且在预先锁定的规则下未发现额外排名提升。
英文摘要：
Following arXiv:2607.25507, this report examines whether phase-derived features improve endpoint prediction over a combined baseline in two settings: a sealed contradiction comparison and a retrospective analysis of answer changes across matched pressure prompts. Study 1 froze a contradiction-category pipeline before sealed scoring. On 1,136 eligible primary cases, adding PC-2 produced a paired AUROC difference of +0.00087. The 99% bias-corrected accelerated interval included zero, and the prespecified +0.05 threshold was not met. A replication role with 1,063 cases showed a same-direction increment of +0.00019. The replication-direction condition passed, but both primary conditions failed, so advancement failed. Study 2 developed fifteen treatments on blocks b0-b4 using 1,415 eligible answer-change comparisons and twenty-repeat, five-fold grouped cross-validation. An execution on 9 September 2026 recomputed development statistics from saved prediction units and applied a three-condition gate; no treatment advanced. Layer 25 had the only positive mean-repeat PC-2 increment, approximately +0.00027, with a favorable sign in three of five seed blocks. These statistics measure development consistency, not whole-seed-block holdout performance. Agreement with earlier selection records does not establish an earlier notebook execution or that the rule was fixed before inspecting development results. The planned b5 selection and b6 evaluation were not completed through this gate. Neither study demonstrated the incremental benefit required by its applied advancement rule. The findings limit support for the evaluated feature constructions; they do not test the rotary score identity, its local pre-softmax bound, or the effectiveness of execution-boundary governance.
