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Oct 12 · Monday
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About this collection Collection in progress We are building a large AI safety paper collection to help researchers find work related to their interests. Papers are collected automatically andfiltered only for relevance to AI safety , without judging quality, novelty or reading value. The default “Annotated first” shows papers with tags or published paper analyses first. Each group is ordered by original publication date, newest first, with undated papers last. “Newest first” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and paper analyses are prepared by AI from the papers. Language models may have systematic biases and produce hallucinations.We plan to carry out human annotation and review to reduce errors in this content.
Proposes PASAC and a five-layer boundary guarantee stack, turning agent evaluation overstepping into verifiable whole-system guarantees.
Published Oct 9 提出研究合同，把已批准选择绑定到执行证据并由检查器核验
Published Oct 8
Evaluated models OpenAI gpt-5.6-sol , OpenAI gpt-5.6-terra , OpenAI gpt-5.6-luna and others18 Abstract 研究合同暴露四类输出单独建不立的关系。研究合同用来核验计算科学研究智能体是否仍在已批准研究之内，不判断科学是否为真。 。
提出 Assay，用依赖锥哈希绑定代码断言并在合并门禁拦截失效声明
Published Sep 29 Abstract Assay 提供随依赖内容失效的证据管理。Assay 是一套面向 AI 辅助软件交付的内容寻址证据系统 ，关注代码改变后，测试通过、无秘密或行为保持等断言还能否用于批准合并。
提出 RSI-Master，约束自主后训练实验动作并结构化探索以防奖励作弊
Published Sep 29 提出 TAME 调节 Agent 测试时记忆演化，并用 Trust-Memevo 评测可信度
Published Feb 3
Evaluated models Qwen3-32B , GPT-5.2 Abstract TAME 在共享记忆上同时调节效用与信任。TAME 针对测试时记忆演化中的 Agent Memory Misevolution：良性任务只按成败保留经验时，任务表现可以上升，安全、隐私、公平等可信度下降或随领域波动。
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