AI RESEARCH
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
arXiv CS.AI
•
ArXi:2603.13644v1 Announce Type: new Large language models (LLMs) and small language models (SLMs) operate under strict context window and key-value (KV) cache constraints, fundamentally limiting their ability to reason coherently over long interaction horizons. Existing approaches -- extended context windows, retrieval-augmented generation, summarization, or static documentation -- treat memory as static storage and fail to preserve decision-relevant state under long-running, multi-session tasks. We.