Optimized SkillSonar guards exhibit bidirectional zero-shot transfer across distinct model families without target-model fine-tuning: the GLM-5-optimized guard reduces Kimi-K2.6 ASR to 0.199 (ID) and 0.161 (OOD), while the Kimi-K2.6-optimized guard achieves 0.112 ID ASR on GLM-5, 0.059 on Claude Haiku 4.5, and 0.019 on GPT-5.4.

Optimized SkillSonar guards exhibit bidirectional zero-shot transfer across distinct model families without target-model fine-tuning: the GLM-5-optimized guard reduces Kimi-K2.6 ASR to 0.199 (ID) and 0.161 (OOD), while the Kimi-K2.6-optimized guard achieves 0.112 ID ASR on GLM-5, 0.059 on Claude Haiku 4.5, and 0.019 on GPT-5.4. · CiteArk

测量结果

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指标与条件	论文报告	最近可用实测	证据判断
split: id_test · source_model: GLM-5 · target_model: Kimi-K2.6	0.199 fraction	—	尚未评估
split: ood_test · source_model: GLM-5 · target_model: Kimi-K2.6	0.161 fraction	—	尚未评估
split: id_test · source_model: Kimi-K2.6 · target_model: GLM-5	0.112 fraction	—	尚未评估
split: id_test · source_model: Kimi-K2.6 · target_model: Claude Haiku 4.5	0.059 fraction	—	尚未评估
split: id_test · source_model: Kimi-K2.6 · target_model: GPT-5.4	0.019 fraction	—	尚未评估
split: id_test · source_model: GLM-5 · target_model: Kimi-K2.6	0.799 score	—	尚未评估
split: ood_test · source_model: GLM-5 · target_model: Kimi-K2.6	0.799 score	—	尚未评估

报告指标与观测值

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测量结果