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Schema is a harness that enables frontier AI models to achieve 99% on the ARC-AGI-3 benchmark by having them write executable programs to model game environments, test predictions, and plan.
This paper introduces a physics-inspired framework for structural attribution in cyber-physical IoT systems, using an undirected energy-based representation to provide dependency-aware explanations without requiring a directed causal graph. Experiments on an industrial IoT testbed demonstrate higher attribution accuracy, robustness, and scalability compared to existing graph-based methods.
This paper proposes NeTMY, an amortization-free coordinate neural field for inverse problems in NV-center quantum sensing, using a corrected forward model and sparse reconstruction losses to overcome center-collapse pathologies.