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On the Linear Convergence of Bregman Proximal Gradient Methods with Applications to Kullback-Leibler Regression
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Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids
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From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond
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From Visual Geometry Evidence to Embodied Semantic Occupancy Memory
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Distributed Multichannel Wiener Filtering for Topology-Unconstrained Wireless Acoustic Sensor Networks
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Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation
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Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure Benchmarks
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Quaternion-Averaging-Based Adaptive Complementary Filter for Pedestrian Dead Reckoning With a Foot-Mounted AHRS
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Full-range Binary Classifier Calibration for Stable Model Updates in Production
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Privilege and Confidentiality in Generative AI Workflows
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ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities
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KAT-Coder-V2.5 Technical Report
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Decision Protocols in Multi-Agent Large Language Model Conversations
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iSTAR an algebraic-collapse framework for variational reduction in quantum-inspired continuous Ising solvers
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Fenomena Gunung Es: Di Balik Layar “Game” Ada Triliunan Rupiah
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