arXiv study introduces framework to address saturation in closed-loop systems via external information
Read the original at arxiv.org→arXiv:2607.14185v1 Announce Type: new Abstract: Feedback-driven loops support iterative improvement in large language models, reinforcement learning, and autonomous discovery, yet their gains often diminish under...
Original headline: "Closed-Loop Knowledge Dynamics: An Operational Framework for Saturation and Escape"