[
  {
    "id": "2609.21081v1",
    "title": "Loopjacking: Hijacking Human-in-the-Loop Approval",
    "url": "https://arxiv.org/abs/2609.21081",
    "published": "2026-09-17",
    "authors": "Adithyan Arun Kumar"
  },
  {
    "id": "2609.22086v1",
    "title": "Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design",
    "url": "https://arxiv.org/abs/2609.22086",
    "published": "2026-09-18",
    "authors": "Hongyang Du, Lan Yan, Christian Flores, Asim Kadav"
  },
  {
    "id": "2609.22000v1",
    "title": "RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents",
    "url": "https://arxiv.org/abs/2609.22000",
    "published": "2026-09-18",
    "authors": "Shuai Bai, Jiayong Deng, Yikun Fu, Chang Gao"
  },
  {
    "id": "2609.21997v1",
    "title": "Bayesian Belief Layer for Controllable Opinion Dynamics in LLM Agents",
    "url": "https://arxiv.org/abs/2609.21997",
    "published": "2026-09-18",
    "authors": "Hafsa Akbar, Daniel Platnick, Marjan Alirezaie, Hossein Rahnama"
  },
  {
    "id": "2609.22068v1",
    "title": "CodeMidas: Scaling Agentic Coding RL Environments from Code Itself",
    "url": "https://arxiv.org/abs/2609.22068",
    "published": "2026-09-18",
    "authors": "Bowen Ye, Lei Li, Shicheng Li, Zihao Yue"
  },
  {
    "id": "mem0",
    "title": "Mem0: Long-term Memory for AI Agents",
    "url": "https://github.com/mem0ai/mem0",
    "published": "N/A",
    "authors": "mem0ai"
  }
]