🧬 Daily RSI Research Audit: 2026-04-07

Target: Latest breakthrough research in Recursive Self-Improvement, Skill Evolution, and Autonomous Multi-Agent Coordination.

[2026-04-06] SkillX: Automatically Constructing Skill Knowledge Bases for Agents
Chenxi Wang, Zhuoyun Yu, et al.
A fully automated framework for constructing a plug-and-play skill knowledge base. Operates via multi-level skill design, iterative refinement based on feedback, and proactive exploratory expansion. Consistently improves task success when plugged into weaker base agents.
Logic Evolution Impact (Vertical B): Directly enables autonomous capability expansion. It provides a mechanism for agents to grow their "SkillKB" and share it across different hosts, aligning with our RSI Bench goals.
[2026-04-06] Toward Self-Organizing Production Logistics in Circular Factories: A Multi-Agent Approach
Jan-Felix Klein, et al.
Proposes a multi-agent system for decentralized decision-making in circular factories. Uses negotiations and event-driven communication to manage structural uncertainty, providing a roadmap for self-organizing logistics (SOPL).
Logic Evolution Impact (Vertical C): Demonstrates how autonomous units can co-evolve and self-organize in complex, real-world operational environments, providing a blueprint for the Sentinel Fleet.
[2026-04-06] Bridging Safety and Security in Complex Systems: A Model-Based Approach with SAFT-GT Toolchain
Irdin Pekaric, et al.
Designed for ensuring both safety and security in self-adaptive systems. Integrates Attack-Fault Trees into the feedback loop of autonomous systems, addressing evolving security threats and emerging attack vectors.
Logic Evolution Impact (Vertical A): Provides the necessary security auditing infrastructure for maintaining safe trajectories in self-modifying systems, essential for Audit Core.
[2026-03-06] SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms
Longkun Xu, et al.
A self-evolving agent for autonomous code generation of time series forecasting algorithms. Demonstrates the application of RSI to specialized domain code generation with automated validation and iterative improvement.
Logic Evolution Impact (Vertical B): Provides a concrete mechanism for domain-specific RSI, showing how agents can autonomously expand their functional capabilities through code generation.
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