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        "model_scale": "Qwen2.5-7B-Instruct / Qwen3-4B + jointly trained MLP controller; optional DeepSeek-R1 trace supervised cold-start",
        "data_scale": "MATH/Code-R1各2000训练、500测试；竞赛3任务以2000 DAPO样本训练；G=10，其中8 guided，最多8192tokens",
        "measured_paper_cost": "作者独立MATH timing: one RTX PRO6000 Blackwell,5000steps,17.92GPUh for Guided-RLVR(no cold-start),vs15.92GRPO; this is author measurement,not local",
        "decision": "成本过高，不复现（审查 DONE）；不下载大模型/trace，不启动训练探针或多臂benchmark，不自动重试"
      },
      "method": "句界、高entropy且满足间隔时，轻量控制器选语义steering token，采样侧加非负logit偏置；correct且实际采到promotion的math rollout才加log-perplexity差bonus。训练policy以同前缀未加boost的old/current比率更新，controller以成功intervention事件和共享group advantage更新。",
      "fidelity_caveat": "AppendixA Eq5的exact delta与Eq6/final使用近似delta不同；ptarget=.5时近似delta=-log(pk)>0，即pk>.5仍增加，而正文‘已超过target就clip0’文字并不随近似成立。不能无说明改用exact公式并称完整忠实原实现。AppendixB.2阈值需明确当前entropy加入窗口时序，先不以自行假定填补controller。",
      "source_evidence": [
        "https://arxiv.org/abs/2610.37041v1",
        "https://arxiv.org/html/2610.37041v1#S3.SS2",
        "https://arxiv.org/html/2610.37041v1#A1",
        "https://arxiv.org/html/2610.37041v1#S4.SS5"
      ]
    }
  ]
}
