Root Cause Analysis of Measurement and Mechanistic Anomalies
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Discrete Diffusion Models Exploit Asymmetry to Solve Lookahead Planning Tasks
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Evaluating Rollout-Verified Reinforcement Fine-Tuning of a Reasoning Model for Multi-Zone Variable-Air-Volume Control
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A Unified Matrix-Spectral Framework for Stability and Interpretability in Deep Learning
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When Less is More: The LLM Scaling Paradox in Context Compression
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A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
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Spectral Condition for $\mu$P under Width-Depth Scaling
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AIMER: Calibration-Free Task-Agnostic MoE Expert Pruning
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A Theory-guided Weighted $L^2$ Loss for solving the BGK model via Physics-informed neural networks
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When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction
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Cyclical Entropy Eruption: Entropy Dynamics in Agent Reinforcement Learning
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Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks
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