Author

Zhekai Chen

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#artificial intelligence Preprint Oct 2026

Safin-1.5: Safety-Native Architecture and Verifiable Reasoning for Recursive Safety Improvement

Recursive self-improvement (RSI) enables large language models to advance their capabilities through successive updates, but these updates can also introduce new risks and weaken existing safeguards. In line with the AI-45{\deg} Law, we pursue Safety RSI, in which safety develops as an intrinsic capability alongside ge...

Jing-Nan Zheng, Cheng Jin, Ming Zhang et al. · 0 citations

#machine learning Preprint Aug 2026

Safin-1: Safety from Within through Memory-Native State Evolution

The routed-state interface unifies contextual memory and persistent capability adaptation within the model's native computation, reframing memory from a passive record of prior context into an active substrate for maintaining and evolving model behavior.

Ming Zhang, Kai-Sen Yang, Shu Yu et al. · 0 citations

Jul 2026

UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks

The first capability-driven benchmark designed to evaluate proactive agents in dynamic, real-world settings is introduced, and comprehensive comparisons across both models and frameworks show how base model capabilities and agent framework designs jointly shape performance in real-world environments.

Zhekai Chen, Chengqi Duan, Kaiyue Sun et al. · arXiv.org · 1 citation