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Contextual Control without Memory Growth in a Context-Switching Task Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away On Agents and Agenthood: Six Birds Theory (SBT) Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking Science of AI Evaluation Requires Item-level Benchmark Data Structural Segmentation of the Minimum Set Cover Problem: Exploiting Universe Decomposability for Metaheuristic Optimization Contextual Control without Memory Growth in a Context-Switching Task Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away On Agents and Agenthood: Six Birds Theory (SBT) Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking Science of AI Evaluation Requires Item-level Benchmark Data Structural Segmentation of the Minimum Set Cover Problem: Exploiting Universe Decomposability for Metaheuristic Optimization

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AI News Digest — 7 April 2026

**AI Digest: April 7, 2026**. ## AI-Powered Cybersecurity Threats Escalate Globally...

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Contextual Control Without Memory Growth in a Context-Switching Task

Context-dependent sequential decision making is commonly addressed by providing context explicitly as an input or by increasing recurrent memory. Researchers have proposed an alternative approach: realizing contextual control without memory growth. The study demonstrates the feasibility of this approach, which could lead to significant improvements in decision-making and problem-solving..

arXiv cs.AI
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