audnai/penclaw-Kimi-K3.0-abliterated-GGUF
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Reproduction: Efficient Stochastic Optimisation via Sequential Monte Carlo
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Reproduction: Skewness-Robust Causal Discovery in Location-Scale Noise Models
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Reproduction: Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
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Reproduction: Planar Symmetric Pattern Generation
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Reproduction: Personalized Policy Learning through Discrete Experimentation (DLPT)
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Reproduction: Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
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MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
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Mean-Shift PCA by Knockoff Mean
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Reproduction: Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy
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Reproduction: Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions
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Reproduction: Universal Representation of Generalized Convex Functions and their Gradients
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Fair Decisions from Calibrated Scores
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Reproduction: All ERMs Can Fail in Stochastic Convex Optimization (Lower Bounds in Linear Dimension)
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Repro: Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs
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Reproduction: Context-free Recognition with Transformers
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Reproduction: Commit to the Bit — Reactive Reinforcement Learning Done Right
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Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization
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Evaluating Bivariate Causal Statements Based on Mutual Compatibility
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Reproduction: Quantifying the Noise Sensitivity of the Wasserstein Metric for Images
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