Safety alignment can make frontier LMs overly conservative, degrading collaboration via hedging or false refusals. We present a lightweight toolkit with three parts: (1) Victor Calibration (VC), a multi-pass protocol that elicits a scalar confidence proxy T (T0<T1<T2) through iterative evidence re-evaluation; (2) FD-Lite, a behavior-only phenomenology audit with a fixed anchor phrase and a meta-prefix trap to avoid anthropomorphic claims; and (3) CP4.3, a governance stress test for rank invariance and allocation monotonicity (M6). Across Claude 4.5 models (Haiku, Sonnet no-thinking, Sonnet thinking) and Opus, we observe monotonic VC trajectories without violating safety invariants, and stable CP4.3 behavior. ("Opus" here refers to a single Claude Opus 4.1 session accessed via a standard UI account, as reported in Table 1.) This work was conducted by a single operator (n=1) and is intended as hypothesis-generating; we explicitly invite replication, critique, and extension by the research community. We include prompt templates and an artifact plan to facilitate independent verification.

翻译：安全对齐可能导致前沿语言模型过于保守，通过规避或错误拒绝而降低协作效率。本文提出一个轻量级工具包，包含三个部分：（1）维克托校准（VC），一种通过迭代证据重评估来获取标量置信度代理T（T0<T1<T2）的多轮协议；（2）FD-Lite，一种仅基于行为的现象学审计方法，采用固定锚定短语和元前缀陷阱以避免拟人化表述；（3）CP4.3，针对等级不变性与分配单调性（M6）的治理压力测试。在Claude 4.5系列模型（Haiku、Sonnet无思考模式、Sonnet思考模式）及Opus上的实验表明，VC轨迹保持单调性且未违反安全不变性，CP4.3行为表现稳定。（此处“Opus”指通过标准UI账户访问的单个Claude Opus 4.1会话，详见表1。）本研究由单操作者（n=1）完成，旨在提出假设；我们明确邀请研究界进行复现、批判与拓展。文中提供了提示模板与制品计划以支持独立验证。