[
  {
    "id": "2609.11060v1",
    "title": "Grounding Agent Memory: Environment-Probing Curation for Long-Horizon Agents",
    "url": "https://arxiv.org/abs/2609.11060",
    "published": "2026-09-19",
    "authors": "TBA"
  },
  {
    "id": "2609.00595v1",
    "title": "SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems",
    "url": "https://arxiv.org/abs/2609.00595",
    "published": "2026-09-18",
    "authors": "Rui Yang, Junjie Xu, Zhengyu Liu, Neil Fendley, Yang Hong, Ziyang Li, Yinzhi Cao"
  },
  {
    "id": "2609.19947v1",
    "title": "Not All AI Agents Are Equal: Characterizing Resource and Performance Dynamics",
    "url": "https://arxiv.org/abs/2609.19947",
    "published": "2026-09-17",
    "authors": "TBA"
  },
  {
    "id": "2609.01437v1",
    "title": "HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?",
    "url": "https://arxiv.org/abs/2609.01437",
    "published": "2026-09-19",
    "authors": "TBA"
  },
  {
    "id": "2609.17320v1",
    "title": "Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems",
    "url": "https://arxiv.org/abs/2609.17320",
    "published": "2026-09-15",
    "authors": "TBA"
  },
  {
    "id": "2609.19644v1",
    "title": "ScientistTwo: Pioneering the Human Knowledge Frontier with Autonomous AI",
    "url": "https://arxiv.org/abs/2609.19644",
    "published": "2026-09-18",
    "authors": "TBA"
  },
  {
    "id": "open-deep-research",
    "title": "Open Deep Research (langchain-ai/open_deep_research)",
    "url": "https://github.com/langchain-ai/open_deep_research",
    "published": "N/A",
    "authors": "LangChain AI"
  }
]