Prompt-Native Semantic Runtimes for Language Models: Inference-Time Semantic Governance, Provenance, Compression, and Document-Level Process Teaching

Prompt-Native Semantic Runtimes for Language Models We introduce prompt-native semantic runtimes as one component of a broader research program in inference-time semantic governance for large language models. Unlike agent operating systems (AIOS), memory operating systems (MemGPT, MemOS), and orchestration frameworks, which manage computation, tools, or memory from outside the model, prompt-native semantic runtimes are carried entirely by structured documents loaded into the model's context window. Their purpose is to govern semantic behavior: evidence handling, uncertainty marking, status tracking, traversal logic, and compression-robust generation. We present the Crimson Hexagonal Archive — a corpus of 300+…