arXiv:2510.26905v1 Announce Type: new
Abstract: Cyber-physical systems increasingly rely on Foundational Models such as Large Language Models (LLMs) and Vision-Language Models (VLMs) to increase autonomy through enhanced perception, inference, and planning. However, these models also introduce new types of errors, such as hallucinations, overgeneralizations, and context misalignments, resulting in incorrect and flawed decisions. To address this, we introduce the concept of Cognition Envelopes, designed to establish reasoning boundaries that constrain AI-generated decisions while complementing the use of meta-cognition and traditional safety envelopes. As with safety envelopes, Cognition Envelopes require practical guidelines and systematic processes for their definition, validation, and assurance.
Generative Semantic Coding for Ultra-Low Bitrate Visual Communication and Analysis
arXiv:2510.27324v1 Announce Type: cross Abstract: We consider the problem of ultra-low bit rate visual communication for remote vision analysis, human interactions and control in challenging