Traceable World State: A Provenance-Aware State Representation and Deterministic Replay Framework for Robotic Systems
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New papers, breakthroughs and academic AI research
Limited Stereotype Control Through Routing Reweighting in MoE Language Models
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In-Ride Alcohol-Impairment Detection in E-Scooterists with False-Alarm Control
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DVLA-RL++: Dual-Level Vision-Language Alignment with Reinforcement Learning Gating for Few-Shot Learning
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Compile the Table: Query-Calibrated Operator Compression for Tabular In-Context Learning
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VINCIE-NExT: Unlocking Video Editing from Images via In-Context Modeling
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SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
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Evaluating Exact Output and Checkpoint-State Prediction in Real Programs
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Neural Decoding as Cognitive Inference
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Neural Network Verification for Deep Joint Source-Channel Coding
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AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services
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Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning
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