📑 Table of Contents

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Covers the latest AI research, open source and industry moves, updated daily.


Editor’s Note

A UN expert panel warns AI is developing faster than regulation can keep up, with agent risks highlighted; the White House accelerates frontier-model release standards — models become strategic infrastructure. On the paper side: distributed attacks in persistent-state AI control, verifiable context governance (ContextNest), autonomous research pipelines, and low-cost capability proxy metrics (PACE).

1. Latest arXiv Papers

  1. Distributed Attacks in Persistent-State AI Control — https://arxiv.org/abs/2607.02514

  2. ContextNest: A Verifiable Context Governance Framework for Autonomous AI Agents — https://arxiv.org/abs/2607.02116

  3. ReContext: Recursive Evidence Replay Enhances Long-Context Reasoning in LLMs — https://arxiv.org/abs/2607.02509

  4. LLM-Based Autonomous Research Pipelines: End-to-End Automation from Literature to Papers — https://arxiv.org/abs/2607.02329

  5. EvoPolicyGym: A Benchmark for Autonomous Policy Evolution in Interactive Environments — https://arxiv.org/abs/2607.02440

  6. VRRL: Reinforcement Learning for Visual Grounding Self-Reflection in Multimodal Models — https://arxiv.org/abs/2607.02490

  7. Implicit Forgetting in Continual Multimodal Learning: Accuracy Unchanged but Grounding Fails — https://arxiv.org/abs/2607.02020

  8. PACE: Low-Cost Proxy Metrics for Agent Capability Evaluation — https://arxiv.org/abs/2607.02032

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