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Persona Without Substrate: Regime-Dependence and the LLM Individuation Problem
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Topological Void Analysis: A Mathematical Framework for Systematic Technical Innovation Discovery in Knowledge Spaces
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PRISM: Latent Composition Consistency for Single-Image Reflection Removal
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From Strings to Things for Personal Knowledge Graphs Evaluating LLM Triple Extraction for Recommendation Systems
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ECHO: Prune To Act, Trace To Learn With Selective Turn Memory in Agentic RL
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Constructive Alignment Governing Preference Dynamics in Human–AI Interaction
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Bounded Morality: Defining the Space of Moral Computation
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Do Recommendation Algorithms Work When Users Are LLM Agents A Case Study on Moltbook
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Memory-Managed Long-Context Attention
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WARP-RM A Warp-Augmented Relative Progress Reward Model for Data Curation
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Persona-Trained Monte Carlo: Estimating Market-Outcome Distributions via Swarms of Persona-Conditioned Neural Policy Bots in a Limit Order Book
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Exploring the Intrinsic Geometry of Diffusion Models with Constrained Inverse Kinematics
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Estimation–Prediction Tradeoff in Causal Probabilistic Temporal Graphs
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Architecture for Health Initiative (Arch4Health) Computational Challenges in Health-Related Applications
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Towards Continuous Power Forecasting Practical Continual Learning for Real-World Energy Systems in Nonstationary Time Series
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