arXiv cs.LG
· Papers
Closed-Loop Knowledge Dynamics: An Operational Framework for Saturation and Escape
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 repeated internal feedback. We study why closed-loop knowledge systems saturate and what external informati