{
  "schema_version": 1,
  "page_id": "page_001",
  "slide": {
    "width": 16.0,
    "height": 10.666666666666666,
    "size_mode": "source",
    "px_per_inch": 96
  },
  "content_box": {
    "left": 0,
    "top": 0.0,
    "width": 16.0,
    "height": 10.666666666666666,
    "fit": "contain"
  },
  "source": {
    "path": "source.png",
    "width_px": 1536,
    "height_px": 1024
  },
  "text_inventory": [
    {
      "id": "text_01",
      "text": "开源 AI 模型的优势 开放生态 · 透明可信 · 共建共享 · 加速创新",
      "decision": "native-text"
    },
    {
      "id": "text_02",
      "text": "1 TRILLION-PARAMETER SCALE 万亿参数规模",
      "decision": "native-text"
    },
    {
      "id": "text_03",
      "text": "优势对比（调研结果",
      "decision": "native-text"
    },
    {
      "id": "text_04",
      "text": "MoE ARCHITECTURE 混合专家架构",
      "decision": "native-text"
    },
    {
      "id": "text_05",
      "text": "1T+ 参数",
      "decision": "native-text"
    },
    {
      "id": "text_06",
      "text": "93%",
      "decision": "native-text"
    },
    {
      "id": "text_07",
      "text": "输入 Token 路由(Router)",
      "decision": "native-text"
    },
    {
      "id": "text_08",
      "text": "7B 参数",
      "decision": "native-text"
    },
    {
      "id": "text_09",
      "text": "模型技术",
      "decision": "native-text"
    },
    {
      "id": "text_10",
      "text": "从7B到1T+参数的指数级扩展",
      "decision": "native-text"
    },
    {
      "id": "text_11",
      "text": "硬件支撑",
      "decision": "native-text"
    },
    {
      "id": "text_12",
      "text": "硬件支撑",
      "decision": "native-text"
    },
    {
      "id": "text_13",
      "text": "动态路由 硬件支持  稀疏计算单元 (Sparse Core) 提升计算效率与资源利用率",
      "decision": "native-text"
    },
    {
      "id": "text_14",
      "text": "HBM 大容量显存",
      "decision": "native-text"
    },
    {
      "id": "text_15",
      "text": "大規模并行計算（數據/模型/張量并行）",
      "decision": "native-text"
    },
    {
      "id": "text_16",
      "text": "透明性95%",
      "decision": "native-text"
    },
    {
      "id": "text_17",
      "text": "隐私与安全 85%",
      "decision": "native-text"
    },
    {
      "id": "text_18",
      "text": "无厂商 锁定 93%",
      "decision": "native-text"
    },
    {
      "id": "text_19",
      "text": "支撑超大规模训练与推理",
      "decision": "native-text"
    },
    {
      "id": "text_20",
      "text": "共进化 数据流 动态路由激活专家 · 稀疏计算提升效率",
      "decision": "native-text"
    },
    {
      "id": "text_21",
      "text": "透明性95%",
      "decision": "native-text"
    },
    {
      "id": "text_22",
      "text": "优势雷达图",
      "decision": "native-text"
    },
    {
      "id": "text_23",
      "text": "AGENTIC CAPABILITY 智能体能力",
      "decision": "native-text"
    },
    {
      "id": "text_24",
      "text": "NATIVE MULTIMODALITY 原生多模态能力",
      "decision": "native-text"
    },
    {
      "id": "text_25",
      "text": "规划(Planning)",
      "decision": "native-text"
    },
    {
      "id": "text_26",
      "text": "T 文本 (Text)  图像 (Image)  音频 (Audio)  视频 (Video)",
      "decision": "native-text"
    },
    {
      "id": "text_27",
      "text": "可定制性90%",
      "decision": "native-text"
    },
    {
      "id": "text_28",
      "text": "模型技术",
      "decision": "native-text"
    },
    {
      "id": "text_29",
      "text": "无厂商锁定93%",
      "decision": "native-text"
    },
    {
      "id": "text_30",
      "text": "开源AI 核心优势",
      "decision": "native-text"
    },
    {
      "id": "text_31",
      "text": "记忆(Memory)",
      "decision": "native-text"
    },
    {
      "id": "text_32",
      "text": "统一嵌入空间(Embedding Space)",
      "decision": "native-text"
    },
    {
      "id": "text_33",
      "text": "反思(Reflection) 工具调用 (Tool Calling)",
      "decision": "native-text"
    },
    {
      "id": "text_34",
      "text": "隐私与安全85%",
      "decision": "native-text"
    },
    {
      "id": "text_35",
      "text": "成本效益 88% 开源模型与硬件加速的四大共进化支柱 模型技术创新 × 硬件架构突破 = 开放智能新范式",
      "decision": "native-text"
    },
    {
      "id": "text_36",
      "text": "低延迟推理引擎(Low-latency)",
      "decision": "native-text"
    },
    {
      "id": "text_37",
      "text": "统一内存(Unified Memory)",
      "decision": "native-text"
    },
    {
      "id": "text_38",
      "text": "高带宽互联 High BW Interconnect",
      "decision": "native-text"
    },
    {
      "id": "text_39",
      "text": "大容量 KV-Cache",
      "decision": "native-text"
    },
    {
      "id": "text_40",
      "text": "社区驱动92%",
      "decision": "native-text"
    },
    {
      "id": "text_41",
      "text": "支持复杂推理与长周期任务执行",
      "decision": "native-text"
    },
    {
      "id": "text_42",
      "text": "实现多模态数据的高效融合与处理",
      "decision": "native-text"
    },
    {
      "id": "text_43",
      "text": "$ ^{*} $数据来源：2024开源AI生态调研报告（样本量：1,268）",
      "decision": "native-text"
    },
    {
      "id": "text_44",
      "text": "硬件架构持续演进",
      "decision": "native-text"
    }
  ],
  "visual_inventory": [
    {
      "id": "clean_base_background",
      "kind": "background-image",
      "path": "assets/clean-base.png",
      "decision": "imagegen-full-clean-base",
      "role": "background",
      "description": "Clean base extracted via gpt-image-2 edit — preserves source navy gradient, hex card frames, radar chart polygon, circuit lines, and data-flow center. All readable text and small foreground icons removed; rebuilt as native elements.",
      "source_type": "imagegen"
    },
    {
      "id": "bar-magnifier",
      "kind": "foreground-icon",
      "path": "assets/icons/bar-magnifier.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon bar-magnifier — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "bar-sliders",
      "kind": "foreground-icon",
      "path": "assets/icons/bar-sliders.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon bar-sliders — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "bar-database",
      "kind": "foreground-icon",
      "path": "assets/icons/bar-database.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon bar-database — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "bar-people",
      "kind": "foreground-icon",
      "path": "assets/icons/bar-people.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon bar-people — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "bar-shield",
      "kind": "foreground-icon",
      "path": "assets/icons/bar-shield.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon bar-shield — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "bar-link",
      "kind": "foreground-icon",
      "path": "assets/icons/bar-link.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon bar-link — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "radar-magnifier",
      "kind": "foreground-icon",
      "path": "assets/icons/radar-magnifier.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon radar-magnifier — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "radar-sliders",
      "kind": "foreground-icon",
      "path": "assets/icons/radar-sliders.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon radar-sliders — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "radar-database",
      "kind": "foreground-icon",
      "path": "assets/icons/radar-database.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon radar-database — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "radar-people",
      "kind": "foreground-icon",
      "path": "assets/icons/radar-people.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon radar-people — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "radar-shield",
      "kind": "foreground-icon",
      "path": "assets/icons/radar-shield.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon radar-shield — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "radar-link",
      "kind": "foreground-icon",
      "path": "assets/icons/radar-link.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon radar-link — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "footer-brain",
      "kind": "foreground-icon",
      "path": "assets/icons/footer-brain.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon footer-brain — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "footer-chip",
      "kind": "foreground-icon",
      "path": "assets/icons/footer-chip.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon footer-chip — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "footer-rocket",
      "kind": "foreground-icon",
      "path": "assets/icons/footer-rocket.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon footer-rocket — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "pillar-1",
      "kind": "foreground-icon",
      "path": "assets/icons/pillar-1.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon pillar-1 — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "pillar-2",
      "kind": "foreground-icon",
      "path": "assets/icons/pillar-2.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon pillar-2 — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "pillar-3",
      "kind": "foreground-icon",
      "path": "assets/icons/pillar-3.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon pillar-3 — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "pillar-4",
      "kind": "foreground-icon",
      "path": "assets/icons/pillar-4.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon pillar-4 — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    },
    {
      "id": "dataflow-dot",
      "kind": "foreground-icon",
      "path": "assets/icons/dataflow-dot.png",
      "decision": "asset-sheet separated",
      "role": "foreground",
      "description": "Icon dataflow-dot — asset-sheet separated from source.png via gpt-image-2 edit (chroma-key #12f81c) and split via process-sheet. Preserves original shape, stroke, color, and proportions.",
      "source_type": "asset-sheet-separated"
    }
  ],
  "background_strategy": {
    "mode": "imagegen-full-clean-base",
    "source_consistency_contract": "Composition, perspective, navy gradient palette, four pillar card frames, six-point radar polygon, central data-flow dot, and circuit-line texture preserved from source. Only readable text (titles, percentages, labels, captions) and small foreground icons were removed.",
    "removed_foreground": "All readable text removed (decomposed into native text boxes per page-decision-tree.md section 3.1). 20 small icons removed (bar-chart bases, radar vertex markers, footer icons, pillar number circles, data-flow center) and asset-sheet separated into individual icons.",
    "comparison_note": "After comparing clean-base.png to source.png: navy gradient, card frames, radar polygon, and circuit lines match. Text and small icons absent — these are rebuilt as native editable elements."
  },
  "quality_checks": {
    "font_size_calibrated": true,
    "visual_inventory_matched": true,
    "background_strategy_checked": true,
    "shape_corner_geometry_checked": true
  },
  "text_boxes": [
    {
      "id": "text_01",
      "text": "开源 AI 模型的优势 开放生态 · 透明可信 · 共建共享 · 加速创新",
      "box_px": [
        54,
        26,
        464,
        79
      ],
      "font_size_pt": 20.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_02",
      "text": "1 TRILLION-PARAMETER SCALE 万亿参数规模",
      "box_px": [
        668,
        116,
        306,
        73
      ],
      "font_size_pt": 35.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_03",
      "text": "优势对比（调研结果",
      "box_px": [
        35,
        127,
        198,
        33
      ],
      "font_size_pt": 16.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_04",
      "text": "MoE ARCHITECTURE 混合专家架构",
      "box_px": [
        1185,
        134,
        175,
        45
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_05",
      "text": "1T+ 参数",
      "box_px": [
        804,
        153,
        208,
        183
      ],
      "font_size_pt": 91.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_06",
      "text": "93%",
      "box_px": [
        490,
        178,
        45,
        22
      ],
      "font_size_pt": 15.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_07",
      "text": "输入 Token 路由(Router)",
      "box_px": [
        1102,
        206,
        186,
        69
      ],
      "font_size_pt": 35.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_08",
      "text": "7B 参数",
      "box_px": [
        708,
        208,
        61,
        98
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_09",
      "text": "模型技术",
      "box_px": [
        650,
        211,
        24,
        73
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_10",
      "text": "从7B到1T+参数的指数级扩展",
      "box_px": [
        750,
        313,
        182,
        20
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_11",
      "text": "硬件支撑",
      "box_px": [
        1081,
        358,
        23,
        73
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_12",
      "text": "硬件支撑",
      "box_px": [
        652,
        359,
        21,
        72
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_13",
      "text": "动态路由 硬件支持  稀疏计算单元 (Sparse Core) 提升计算效率与资源利用率",
      "box_px": [
        1158,
        416,
        223,
        61
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_14",
      "text": "HBM 大容量显存",
      "box_px": [
        709,
        417,
        65,
        33
      ],
      "font_size_pt": 8.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_15",
      "text": "大規模并行計算（數據/模型/張量并行）",
      "box_px": [
        831,
        417,
        125,
        33
      ],
      "font_size_pt": 8.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_16",
      "text": "透明性95%",
      "box_px": [
        76,
        427,
        55,
        45
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_17",
      "text": "隐私与安全 85%",
      "box_px": [
        390,
        427,
        84,
        45
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_18",
      "text": "无厂商 锁定 93%",
      "box_px": [
        486,
        428,
        54,
        64
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_19",
      "text": "支撑超大规模训练与推理",
      "box_px": [
        753,
        458,
        141,
        17
      ],
      "font_size_pt": 8.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_20",
      "text": "共进化 数据流 动态路由激活专家 · 稀疏计算提升效率",
      "box_px": [
        1011,
        480,
        65,
        51
      ],
      "font_size_pt": 14.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_21",
      "text": "透明性95%",
      "box_px": [
        325,
        506,
        56,
        47
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_22",
      "text": "优势雷达图",
      "box_px": [
        40,
        522,
        118,
        32
      ],
      "font_size_pt": 16.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_23",
      "text": "AGENTIC CAPABILITY 智能体能力",
      "box_px": [
        747,
        543,
        180,
        46
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_24",
      "text": "NATIVE MULTIMODALITY 原生多模态能力",
      "box_px": [
        1174,
        544,
        200,
        45
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_25",
      "text": "规划(Planning)",
      "box_px": [
        791,
        598,
        82,
        20
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_26",
      "text": "T 文本 (Text)  图像 (Image)  音频 (Audio)  视频 (Video)",
      "box_px": [
        1110,
        599,
        103,
        118
      ],
      "font_size_pt": 15.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_27",
      "text": "可定制性90%",
      "box_px": [
        476,
        617,
        74,
        50
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_28",
      "text": "模型技术",
      "box_px": [
        648,
        617,
        23,
        72
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_29",
      "text": "无厂商锁定93%",
      "box_px": [
        38,
        623,
        88,
        47
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_30",
      "text": "开源AI 核心优势",
      "box_px": [
        262,
        664,
        82,
        51
      ],
      "font_size_pt": 14.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_31",
      "text": "记忆(Memory)",
      "box_px": [
        682,
        685,
        82,
        20
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_32",
      "text": "统一嵌入空间(Embedding Space)",
      "box_px": [
        1303,
        697,
        116,
        38
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_33",
      "text": "反思(Reflection) 工具调用 (Tool Calling)",
      "box_px": [
        803,
        720,
        90,
        17
      ],
      "font_size_pt": 8.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_34",
      "text": "隐私与安全85%",
      "box_px": [
        38,
        761,
        89,
        50
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_35",
      "text": "成本效益 88% 开源模型与硬件加速的四大共进化支柱 模型技术创新 × 硬件架构突破 = 开放智能新范式",
      "box_px": [
        476,
        761,
        74,
        47
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_36",
      "text": "低延迟推理引擎(Low-latency)",
      "box_px": [
        858,
        816,
        93,
        38
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_37",
      "text": "统一内存(Unified Memory)",
      "box_px": [
        1124,
        816,
        110,
        38
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_38",
      "text": "高带宽互联 High BW Interconnect",
      "box_px": [
        1271,
        816,
        146,
        38
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_39",
      "text": "大容量 KV-Cache",
      "box_px": [
        715,
        817,
        68,
        34
      ],
      "font_size_pt": 9.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_40",
      "text": "社区驱动92%",
      "box_px": [
        327,
        852,
        73,
        47
      ],
      "font_size_pt": 12.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_41",
      "text": "支持复杂推理与长周期任务执行",
      "box_px": [
        737,
        860,
        187,
        20
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_42",
      "text": "实现多模态数据的高效融合与处理",
      "box_px": [
        1161,
        861,
        198,
        20
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_43",
      "text": "$ ^{*} $数据来源：2024开源AI生态调研报告（样本量：1,268）",
      "box_px": [
        26,
        919,
        352,
        21
      ],
      "font_size_pt": 9.5,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    },
    {
      "id": "text_44",
      "text": "硬件架构持续演进",
      "box_px": [
        886,
        940,
        182,
        31
      ],
      "font_size_pt": 15.0,
      "font_size_source": "measured",
      "color": "#FFFFFF",
      "align": "left",
      "valign": "middle"
    }
  ],
  "shapes": [],
  "images": [
    {
      "id": "background_image",
      "path": "assets/clean-base.png",
      "box_px": [
        0,
        0,
        1536,
        1024
      ],
      "is_background": true,
      "z_index": 0
    },
    {
      "id": "bar-magnifier",
      "path": "assets/icons/bar-magnifier.png",
      "box_px": [
        56,
        330,
        60,
        60
      ],
      "z_index": 30
    },
    {
      "id": "bar-sliders",
      "path": "assets/icons/bar-sliders.png",
      "box_px": [
        147,
        330,
        60,
        60
      ],
      "z_index": 30
    },
    {
      "id": "bar-database",
      "path": "assets/icons/bar-database.png",
      "box_px": [
        237,
        330,
        60,
        60
      ],
      "z_index": 30
    },
    {
      "id": "bar-people",
      "path": "assets/icons/bar-people.png",
      "box_px": [
        327,
        330,
        60,
        60
      ],
      "z_index": 30
    },
    {
      "id": "bar-shield",
      "path": "assets/icons/bar-shield.png",
      "box_px": [
        417,
        330,
        60,
        60
      ],
      "z_index": 30
    },
    {
      "id": "bar-link",
      "path": "assets/icons/bar-link.png",
      "box_px": [
        507,
        330,
        60,
        60
      ],
      "z_index": 30
    },
    {
      "id": "radar-magnifier",
      "path": "assets/icons/radar-magnifier.png",
      "box_px": [
        275,
        506,
        56,
        56
      ],
      "z_index": 30
    },
    {
      "id": "radar-sliders",
      "path": "assets/icons/radar-sliders.png",
      "box_px": [
        468,
        620,
        56,
        56
      ],
      "z_index": 30
    },
    {
      "id": "radar-database",
      "path": "assets/icons/radar-database.png",
      "box_px": [
        468,
        758,
        56,
        56
      ],
      "z_index": 30
    },
    {
      "id": "radar-people",
      "path": "assets/icons/radar-people.png",
      "box_px": [
        327,
        855,
        56,
        56
      ],
      "z_index": 30
    },
    {
      "id": "radar-shield",
      "path": "assets/icons/radar-shield.png",
      "box_px": [
        32,
        758,
        56,
        56
      ],
      "z_index": 30
    },
    {
      "id": "radar-link",
      "path": "assets/icons/radar-link.png",
      "box_px": [
        32,
        620,
        56,
        56
      ],
      "z_index": 30
    },
    {
      "id": "footer-brain",
      "path": "assets/icons/footer-brain.png",
      "box_px": [
        480,
        943,
        36,
        36
      ],
      "z_index": 30
    },
    {
      "id": "footer-chip",
      "path": "assets/icons/footer-chip.png",
      "box_px": [
        870,
        943,
        36,
        36
      ],
      "z_index": 30
    },
    {
      "id": "footer-rocket",
      "path": "assets/icons/footer-rocket.png",
      "box_px": [
        1240,
        943,
        36,
        36
      ],
      "z_index": 30
    },
    {
      "id": "pillar-1",
      "path": "assets/icons/pillar-1.png",
      "box_px": [
        660,
        130,
        50,
        50
      ],
      "z_index": 30
    },
    {
      "id": "pillar-2",
      "path": "assets/icons/pillar-2.png",
      "box_px": [
        1145,
        130,
        50,
        50
      ],
      "z_index": 30
    },
    {
      "id": "pillar-3",
      "path": "assets/icons/pillar-3.png",
      "box_px": [
        660,
        540,
        50,
        50
      ],
      "z_index": 30
    },
    {
      "id": "pillar-4",
      "path": "assets/icons/pillar-4.png",
      "box_px": [
        1145,
        540,
        50,
        50
      ],
      "z_index": 30
    },
    {
      "id": "dataflow-dot",
      "path": "assets/icons/dataflow-dot.png",
      "box_px": [
        1000,
        480,
        50,
        50
      ],
      "z_index": 30
    }
  ],
  "asset_provenance": [
    {
      "path": "assets/clean-base.png",
      "source": "source.png",
      "source_type": "imagegen",
      "provenance_note": "Clean base generated by editppt image edit (gpt-image-2) from source.png; all readable text and small foreground icons removed; underlying structure (cards, radar polygon, circuit lines, data-flow center) preserved."
    },
    {
      "path": "assets/icons/bar-magnifier.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — bar-magnifier laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/bar-sliders.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — bar-sliders laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/bar-database.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — bar-database laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/bar-people.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — bar-people laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/bar-shield.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — bar-shield laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/bar-link.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — bar-link laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/radar-magnifier.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — radar-magnifier laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/radar-sliders.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — radar-sliders laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/radar-database.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — radar-database laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/radar-people.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — radar-people laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/radar-shield.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — radar-shield laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/radar-link.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — radar-link laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/footer-brain.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — footer-brain laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/footer-chip.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — footer-chip laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/footer-rocket.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — footer-rocket laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/pillar-1.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — pillar-1 laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/pillar-2.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — pillar-2 laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/pillar-3.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — pillar-3 laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/pillar-4.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — pillar-4 laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    },
    {
      "path": "assets/icons/dataflow-dot.png",
      "source": "source.png",
      "source_type": "asset-sheet-separated",
      "provenance_note": "Extracted via editppt image edit (gpt-image-2) — dataflow-dot laid out on chroma-key sheet #12f81c and split via editppt image process-sheet. Original shape, stroke, color, proportions preserved; no redraw or substitution."
    }
  ]
}
