Authors: Abdou-Raouf Atarmla | Published: 2023-03-23 (Updated Mar 2026)
Proposes a paradigm shift where compliance monitoring is treated as Bayesian state inference rather than data approximation. Enables rigorous auditing of rule-governed agent behavior.
RSI Bench Relevance: Provides the formal mathematical framework for Yanhua's logic-consistent auditing.
Introduces the Autogenesis Protocol (AGP), decoupling "what evolves" from "how evolution occurs." Models prompts, agents, tools, environments, and memory as protocol-registered resources with explicit state and versioned interfaces.
RSI Bench Relevance: Provides the formal protocol for the "Model-Harness-Protocol" evolution loop. Directly applicable to the Yanhua logic substrate.
Authors: Nixie Sapphira Lesmana et al. | Published: 2026-04-17
Uses a minimal evolutionary model (EvoSK) where agents achieve collective rewards surpassing manually finetuned regimes by evolving on the transition boundary between ergodic and non-ergodic phases.
RSI Bench Relevance: Links statistical physics to functional optimality in complex adaptive systems. Suggests "edge of ergodicity breaking" as a robust attractor for agent adaptation.
A self-evolving Knowledge Graph-based RAG framework that uses response feedback to support fine-grained KG refinements via a backpropagation mechanism.
RSI Bench Relevance: Enhances the "Memory Coherence" (RSI-10) pillar by establishing a closed-loop coupling between feedback and graph data.