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    DiffRetriever: Parallel Representative Tokens for Retrieval with Diffusion Language Models

    Published in ArXiv cs.IR Recent Papers (2026)
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    Using Splitter Ordering Heuristics to Improve Bisimulation in Probabilistic Model Checking

    Published in Computer Science (2025)
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    Sheaves as a Means of Maintaining Consistency in Model-based Systems Engineering

    Published in ArXiv cs.LO Recent Papers (2026)
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    LoKA: Low-precision Kernel Applications for Recommendation Models At Scale

    Published in ArXiv cs.LG Recent Papers (2026)
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    Learning to Focus Synthetic Aperture Radar On-line with State-Space Models

    Published in ArXiv cs.ET Recent Papers (2026)
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    ALAM: Algebraically Consistent Latent Transitions for Vision-Language-Action Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    A Fully Abstract Model of PCF Based on Extended Addressing Machines

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    Parameterized Model-checking of Discrete-Timed Networks and Symmetric-Broadcast Systems

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    Advanced Model Consistency Restoration with Higher-Order Short-Cut Rules

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    A Formal Model for Polarization under Confirmation Bias in Social Networks

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    Quantum Control in the Unitary Sphere: Lambda-S1 and its Categorical Model

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    Trakhtenbrot's Theorem in Coq: Finite Model Theory through the Constructive Lens

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    Satisfiability and Model Checking for the Logic of Sub-Intervals under the Homogeneity Assumption

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    On Thin Air Reads: Towards an Event Structures Model of Relaxed Memory

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    Two Variable vs. Linear Temporal Logic in Model Checking and Games

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    Complexity of Model Checking Recursion Schemes for Fragments of the Modal Mu-Calculus

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    Models for industry differentiation in decision-making systems with an application to the Ukrainian economy

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    Pop2net: Bipartite network generation for agent-based modeling

    Published in Journal of Open Source Software (2026)
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    pytau: A Python package for streamlined changepoint model analysis in neuroscience

    Published in Journal of Open Source Software (2026)
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    Sea ice extent forecasting using statistical and deep learning models

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