One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State
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Past, Future, All at Once: Mitigating Stability-Plasticity Dilemma via Post-hoc JANUS Rectification
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QCPruner: Query-Conditioned Population Coverage for Visual Token Pruning
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EPIG-Tree: Compute-Optimal Branching for Gradient-Efficient Reinforcement Learning
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Foundations of Stochastic Lexical Calculus: Semantic Descent and Random Dynamics on Probability Simplices
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AgentPProf: Semantic Profiler for Long Horizon AI Agents
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NeuSOGA3D: A Neuro-Symbolic Framework for Explainable 3D Geometric Reconstruction
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Correct Now, Insufficient Later: Auditing Update Sufficiency in Context Compression
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AVTrace: Diagnosing Audio-Visual Temporal Reasoning in Omni Models
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Diagnose, Recover, Certify: Task Readiness under Hidden Dynamics Changes
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Amortizing Physics-Informed Neural Solvers via Graph Hypernetworks
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Evaluating Explanation Methods by the Predictors They Induce
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