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MathematicsarXiv Mathematics
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Towards an Inferentialist Account of Information Through Proof-theoretic Semantics

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MathematicsarXiv Mathematics
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Balanced bipartite distance of $K_4$-free graphs

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MathematicsarXiv Mathematics
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The $i$-extended ideal-based cozero-divisor graph of a commutative ring

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MathematicsarXiv Statistics
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Variational Smoothing and Inference for SDEs from Sparse Data with Dynamic Neural Flows

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MathematicsarXiv Statistics
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Relaxed Sparsest-Permutation Formulation for Causal Discovery at Scale

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MathematicsarXiv Statistics
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Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning

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MathematicsarXiv Mathematics
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Proof of the Holevo-Utkin conjecture on sharp $\ell_p$ norms for zero-sum vectors

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MathematicsarXiv Statistics
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Forecasting Oncology Demand Trends with Boosting-Based Bayesian Conjugate Models

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MathematicsarXiv Mathematics
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The Heegaard Floer d-invariant for more rational homology spheres

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MathematicsarXiv Statistics
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Estimating Implicit Regularization in Deep Learning

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MathematicsarXiv Mathematics
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On Unbiased Parameter Estimation and Signal Reconstruction

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MathematicsarXiv Mathematics
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Quasi sdf-absorbing ideals in commutative rings

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MathematicsarXiv Statistics
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Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation

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MathematicsarXiv Statistics
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Permutation-preserving Functions and Neural Vecchia Covariance Kernels

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MathematicsarXiv Mathematics
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Semi-global solutions to the Goursat problem for second-order hyper-quasilinear hyperbolic systems with lineary dependent principal coefficients and applications to the vacuum Einstein equations

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MathematicsarXiv Statistics
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Spectral Lens: Activation and Gradient Spectra as Diagnostics of LLM Optimization

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MathematicsarXiv Mathematics
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Meta-learning for sample-efficient Bayesian optimisation of fed-batch processes

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MathematicsarXiv Mathematics
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Induced Lorentzian and volume polynomials

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MathematicsarXiv Statistics
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In-Context Positive-Unlabeled Learning

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MathematicsarXiv Statistics
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Fourier Feature Methods for Nonlinear Causal Discovery: FFML Scoring and FFCI Testing in Mixed Data

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