StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
#StatePlane #AI systems #long-horizon #bounded context #cognitive state #framework #decision-making
📌 Key Takeaways
- StatePlane is a framework designed for AI systems with long-term goals.
- It addresses the challenge of limited context windows in AI processing.
- The system enables AI to maintain and update cognitive states over extended periods.
- StatePlane aims to improve decision-making in complex, multi-step tasks.
📖 Full Retelling
arXiv:2603.13644v1 Announce Type: new
Abstract: 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-
🏷️ Themes
AI Architecture, Cognitive Systems
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Original Source
arXiv:2603.13644v1 Announce Type: new
Abstract: 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-
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