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  1. Strong Inapproximability for a Promise Rank Problem

    Published in ArXiv cs.CC Recent Papers (2026)
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  2. Feedback Set Problems on Bounded-Degree (Planar) Graphs

    Published in ArXiv cs.CC Recent Papers (2026)
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  3. Enhancing Instruction Prefetching via Cache and TLB Management

    Published in ArXiv cs.AR Recent Papers (2026)
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  4. From Innermost to Full Probabilistic Term Rewriting: Almost-Sure Termination, Complexity, and Modularity

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  5. Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA

    Published in ArXiv cs.AR Recent Papers (2026)
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  6. Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications

    Published in ArXiv cs.AR Recent Papers (2026)
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  7. Sieve: Dynamic Expert-Aware PIM Acceleration for Evolving Mixture-of-Experts Models

    Published in ArXiv cs.AR Recent Papers (2026)
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  8. ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents

    Published in ArXiv cs.AI Recent Papers (2026)
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  9. Reward Hacking in Rubric-Based Reinforcement Learning

    Published in ArXiv cs.AI Recent Papers (2026)
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  10. CAAFC: Chronological Actionable Automated Fact-Checker for misinformation / non-factual hallucination detection and correction

    Published in ArXiv cs.AI Recent Papers (2026)
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  11. Formalize, Don't Optimize: The Heuristic Trap in LLM-Generated Combinatorial Solvers

    Published in ArXiv cs.AI Recent Papers (2026)
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  12. Semantic Reward Collapse and the Preservation of Epistemic Integrity in Adaptive AI Systems

    Published in ArXiv cs.AI Recent Papers (2026)
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  13. OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning

    Published in ArXiv cs.AI Recent Papers (2026)
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  14. Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory

    Published in ArXiv cs.AI Recent Papers (2026)
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  15. Data-Aware Hybrid Tableaux

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  16. Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training

    Published in ArXiv cs.AI Recent Papers (2026)
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  17. Discrete Flow Matching for Offline-to-Online Reinforcement Learning

    Published in ArXiv cs.AI Recent Papers (2026)
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  18. ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows

    Published in ArXiv cs.AI Recent Papers (2026)
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  19. Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts

    Published in ArXiv cs.AI Recent Papers (2026)
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  20. Hardness Amplification for (Sparse) LPN

    Published in ArXiv cs.CC Recent Papers (2026)
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