The Silhouette Operator: Identifiability of Low-Rank Measures from One-Dimensional Projections
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NAViLoss: An Underwater Navigation-Aware Dual-Residual Objective for Physics-Consistent Learning
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Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data
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Optimal Regret for Online Market Making with Limit Order Book
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Understanding and Mitigating Token-Pruning-Induced Vulnerabilities in VLMs
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Boundary-aware Reinforcement Learning for Hypercube State Spaces via Deterministic Policy Gradient
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Unbounded Characteristic and Universal Kernels
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A Strength-Monotonic Law for Domain Alignment in Frozen-Embedding Bioacoustic Classification
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Reproducible LLM Inference Benchmarking: A Sequential Isolation Protocol for Regression Testing
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Origins of Universal Machine Learning Force-Field Errors in Multicomponent Materials
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Backdooring Acoustic Foundation Models for Physically Realizable Triggers
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Sparsifying Stochasticity, Not Capacity: Partial Stochasticity via Deep Weight Factorization of Prior Scales
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