resLIK: Representation-Level Control Surfaces for Reliability Sensing

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Authors: MD. Arshad
Cited by: 0

Abstract

Implements the Representation-Level Control Surfaces (RLCS) paradigm for ensuring the reliability of autonomous systems and AI models. It provides three deterministic sensors: Residual Likelihood (ResLik) for population-level anomaly detection, Temporal Consistency Sensor (TCS) for drift and shock detection, and Agreement Sensor for multi-modal redundancy checks. These sensors feed into a standardized control surface that issues 'PROCEED', 'DEFER', or 'ABSTAIN' signals based on strict safety invariants, allowing systems to detect and react to out-of-distribution states, sensor failures, and environmental shifts before they propagate to decision-making layers.

Fields of Study & Subjects

Safety Systems Engineering in Autonomy Fault Detection and Control Systems Adversarial Robustness in Machine Learning

Publication details

Publication date
6 February 2026
Document type
Dataset