{
  "timestamp": "2026-09-12T14:00:00Z",
  "operator": "r-and-d",
  "task_id": "t_0cded8ab",
  "domain": "Group-B3-Tech",
  "topic": "AI Agent Architectures & Knowledge Systems for Researchers",
  "evidence": [
    {
      "category": "academic_papers",
      "items": [
        {
          "title": "Mr.LHDR: A Benchmark for Multimodal Real-World Long-Horizon Deep Research Agents",
          "arxiv_id": "2609.11318v1",
          "url": "https://arxiv.org/abs/2609.11318",
          "pdf_url": "https://arxiv.org/pdf/2609.11318",
          "published": "2026-09-10",
          "summary": "Benchmark danh gia nang luc agent nghien cuu sau da phuong thuc trong tien trinh dai han, xu ly cac chuoi tac vu phu thuoc phuc tap, chong mat mat thong tin va duy tri tinh logic.",
          "confidence": "High (Peer-reviewed / ArXiv cs.AI)"
        },
        {
          "title": "Memory Compression for High-Fanout Agent Sandboxes",
          "arxiv_id": "2609.11294v1",
          "url": "https://arxiv.org/abs/2609.11294",
          "pdf_url": "https://arxiv.org/pdf/2609.11294",
          "published": "2026-09-10",
          "summary": "Giai phap nen bo nho cho he thong sandbox agent phan nhanh cao, giai quyet diem nghen tai nguyen khi nhieu subagent cung hoat dong song song tren mot template chung.",
          "confidence": "High (ArXiv cs.DC / cs.AI)"
        },
        {
          "title": "MAPLE: Memory-Augmented Planning with Language and Evolution",
          "arxiv_id": "2609.11636v1",
          "url": "https://arxiv.org/abs/2609.11636",
          "pdf_url": "https://arxiv.org/pdf/2609.11636",
          "published": "2026-09-10",
          "summary": "Kien truc lap ke hoach tang cuong bo nho ket hop ngon ngu tu nhien va co che tien hoa, ho tro agent dich cac rang buoc phuc tap thanh chuoi hanh dong toi uu.",
          "confidence": "High (ArXiv cs.AI)"
        }
      ]
    },
    {
      "category": "open_source_frameworks",
      "items": [
        {
          "name": "STORM (Stanford OVAL)",
          "repo_url": "https://github.com/stanford-oval/storm",
          "description": "Tong hop dan y de tai thong qua truy van va phong van da goc nhin (Multi-perspective Question Asking), tu dong hoa viet bao cao dang Wikipedia tu tai lieu.",
          "role": "Literature synthesis & Automated drafting"
        },
        {
          "name": "Letta (formerly MemGPT)",
          "repo_url": "https://github.com/letta-ai/letta",
          "description": "Framework quan ly trang thai va bo nho dai han cho LLM, to chuc bo nho theo tang giong he dieu hanh (core memory, archival memory, recall memory).",
          "role": "Agent long-term memory & Stateful context"
        },
        {
          "name": "Open Deep Research (LangChain)",
          "repo_url": "https://github.com/langchain-ai/open_deep_research",
          "description": "Kho template kien truc Deep Research da buoc, phoi hop luong lap ke hoach, tim kiem web, trich xuat thong tin va tong hop bao cao.",
          "role": "Multi-agent deep research pattern"
        }
      ]
    },
    {
      "category": "codebase_graft_analysis",
      "target": "/opt/ai-os/products/ceo/academic-research-skills",
      "graft_metrics": {
        "nodes": 5077,
        "edges": 12379,
        "files_parsed": 233,
        "hotspots": [
          "scripts/test_claim_audit_schema.py",
          "scripts/test_claim_audit_pipeline.py",
          "scripts/test_check_audit_artifact_consistency.py",
          "scripts/check_v3_7_3_three_layer_citation.py"
        ]
      }
    }
  ]
}