Semantic Drift and the Stability of Operator Control in Reasoning-Class Decision Support Systems

arXiv:2607.09790v1 Announce Type: new Abstract: The article investigates the fundamental problem of ensuring the stability of operator control and preserving goal-targeting in hybrid human-machine decision support systems (DSS) of a new generation. Based on a two-month continuous longitudinal experiment on the joint design of a monograph-format textual array, the latent phenomenon of semantic context drift in large language models of deep logical reasoning (Reasoning LLMs) is verified and descri...

arXiv cs.AI ·M. L. Kaluzhsky, V. A. Efirov ·
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