📑 Table of Contents
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Editor’s Note
The paper thread today: Spreadsheet-RL brings RL to spreadsheet agents, MOSS self-evolves through source-level rewriting, an AI-assisted disproof of the Erdős unit-distance conjecture, and AI-designed hybrid architectures that outperform human designs.
1. Latest arXiv Papers
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Spreadsheet-RL: Advancing LLM Agents for Spreadsheet Manipulation via RL — https://arxiv.org/abs/2605.22642
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MOSS: Self-Evolution through Source-Level Rewriting and Editing — https://arxiv.org/abs/2605.22794
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Improved Baselines with Representation Autoencoders — https://arxiv.org/abs/2605.18324
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Disproof of the Erdős Unit Distance Conjecture via AI-Assisted Search — https://arxiv.org/abs/2605.20579
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Causal Forcing++: Real-Time Interactive Video Generation — https://arxiv.org/abs/2605.15141
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AI-Designed Hybrid Model Architectures Outperform Human Designs — https://arxiv.org/abs/2605.15871
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RecursiveMAS: Boosting Multi-Agent Collaboration Efficiency
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GigaBrain-0.5M: World Model-Conditioned VLA for General Robotic Manipulation — https://arxiv.org/abs/2602.12099
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Seed: Decomposing LLM Reasoning Pathways via Chemical-Analogy Clustering — https://arxiv.org/abs/2601.06002
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LRS-VoxMM: A Benchmark for In-the-Wild Audio-Visual Models — https://arxiv.org/abs/2604.27866
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