Foundational publications, whitepapers, and technical reports on context-aware AI systems, sovereign model architectures, and agent alignment.
A comprehensive investigation into why naive token expansion degrades long dialogues, presenting Hierarchical Semantic State Tracking (HSST) to achieve infinite conversational continuity without token bloat or attention collapse.
Technical specifications and proof-of-concept validation of our 297M decoder-only SLM engineered from scratch with 8:1 GQA and Parallel SwiGLU FFN for ultra-low latency inference on local hardware.
Foundational research into context-aware systems, exploring how local cryptographic state isolation eliminates external data leakage in autonomous workflows.