Deterministic Ontological Routing Framework for Domain-Restricted LLM Systems: Design and Implementation of DROS v7.3 (確定性本體路由框架用於領域受限的 LLM 系統:DROS v7.3 的設計與實現)

We present DROS (Dharma Reasoning Operating System) v7.3, a serverless flat-file AI governance framework centered on Deterministic Ontological Routing (DOR), designedto address cross-domain semantic drift and hallucinated citation in high-precision knowledge systems. Conventional RAG systems rely on vector similarity retrieval whose inherent context blindness leads to severe knowledge contamination in domains with strict ontological boundaries (e.g., classical religious philosophy, legal texts). Drawing design inspiration from the Tang dynasty Panjiao (Doctrinal Classification) knowledge architecture — a systematic solution to apparent textual contradictions developed by Zhiyi of the Tiantai school in the 6th century — DROS shifts domain boundary enforcement from soft prompt engineering to OS-level physical path Access Control Lists (ACL), achieving zero-overhead semantic isolation. In a pilot study using 7 high-confusion cross-sectarian benchmark questions, 7/7 questions exhibited no observable cross-sectarian contamination under the current evaluation protocol; token consumption was reduced by 72%, and retrieval latency dropped from 420ms to 12ms. Given the limited sample size, this evaluation does not allow claims of universal correctness, but demonstrates a systematic improvement trend with architectural reproducibility.-----------------------------------------------------------------------------------------------------------------------------------------本文提出DROS(Dharma Reasoning Operating System )v7.3,一個以確定性本體論路由(Deterministic Ontological Routing )