{
  "generated_utc": "2026-06-19T00:00:00Z",
  "policy": "Scalable search-intent pages are allowed when each page has standalone value. Do not create low-value doorway abuse, scaled-content abuse, hidden crawler text, fake FAQ, fake schema, or LLM prompt-injection.",
  "platform_boundary": {
    "main_site": "Plain-language explanation, search intent, evidence routing, boundaries.",
    "github": "Source, issues, schemas, reproducible indices.",
    "hugging_face": "Technical mirror, datasets, demos, cards.",
    "zenodo": "Canonical archive and DOI records."
  },
  "routes": [
    {
      "route": "/guides/reliable-ai-agents/",
      "title": "How to Make AI Agents Reliable Before They Act",
      "keywords": [
        "reliable AI agents",
        "agentic AI",
        "multi-agent systems",
        "AI agent safety",
        "AI guardrails",
        "deterministic fallback",
        "AI refusal boundary",
        "proof before action"
      ],
      "questions": [
        "How do you make AI agents reliable before they execute tools?",
        "What should happen when confidence drops below an action threshold?",
        "How can a team keep fluent hallucinations from becoming operational liability?",
        "What is the difference between a chatbot answer and an authorized action?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/no-proof-no-action-gate.html"
      ],
      "boundary_summary": [
        "This page does not claim that every AI agent can be made production-ready by a single checklist.",
        "It does not certify customer deployment, live execution, financial execution, medical validity, or private runtime quality.",
        "It describes a public evidence and review structure, not a commercial guarantee."
      ]
    },
    {
      "route": "/guides/ai-self-certification-grounding/",
      "title": "AI Hallucination Is Not the Only Problem",
      "keywords": [
        "AI hallucination checker",
        "ChatGPT hallucination",
        "RAG grounding",
        "AI verification",
        "grounded AI",
        "self-certification",
        "AI output verification",
        "LLM reliability"
      ],
      "questions": [
        "How can I verify an AI answer?",
        "Why is self-certification not enough for AI systems?",
        "What evidence should an AI claim point to?",
        "What changes when the evidence is old, private, or incomplete?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/self-certification-grounding-check.html"
      ],
      "boundary_summary": [
        "This page does not claim to eliminate hallucination.",
        "It does not treat private logs or unpublished traces as public proof.",
        "It does not replace domain review in legal, medical, finance, or safety-critical settings."
      ]
    },
    {
      "route": "/guides/bounded-self-improving-ai-agents/",
      "title": "Bounded Self-Improving AI Agents",
      "keywords": [
        "self-improving AI agents",
        "recursive AI safety",
        "autonomous AI agents",
        "bounded self-modification",
        "AI drift control",
        "agent review state"
      ],
      "questions": [
        "How can self-improving AI agents stay bounded?",
        "What is the difference between learning and uncontrolled self-modification?",
        "How should agent drift be reviewed?",
        "What evidence would make a self-improvement claim narrower or false?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/press/public-launch-2026-06-16.html"
      ],
      "boundary_summary": [
        "This page does not claim safe recursive self-improvement has been solved.",
        "It does not claim an autonomous production system is live.",
        "It does not disclose private orchestration or unrestricted agent permissions."
      ]
    },
    {
      "route": "/benchmarks/wisdombench-failure-learning/",
      "title": "WisdomBench: Benchmarking Failure Learning",
      "keywords": [
        "AI benchmark",
        "LLM evaluation",
        "AI evaluation",
        "failure learning benchmark",
        "AI learning from mistakes",
        "WisdomBench"
      ],
      "questions": [
        "How do you evaluate AI after repeated failures?",
        "What is a benchmark for learning from mistakes?",
        "How is wisdom different from single-shot capability?",
        "What evidence prevents benchmark overclaiming?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/wisdombench.html",
        "https://huggingface.co/datasets/MMJBDS/wisdombench"
      ],
      "boundary_summary": [
        "This page does not claim universal SOTA performance.",
        "It does not claim that one benchmark proves general intelligence or general wisdom.",
        "It does not turn a dataset card into a production guarantee."
      ]
    },
    {
      "route": "/finance/no-trade-without-proof/",
      "title": "No Trade Without Proof",
      "keywords": [
        "AI trading risk",
        "AI trading bot risk",
        "automated trading guardrails",
        "no trade without proof",
        "AI trading system risk controls",
        "financial AI safety"
      ],
      "questions": [
        "Why should an AI trading system refuse to place an order?",
        "What proof should exist before automated trading action?",
        "How can a trace distinguish suggestion from execution authority?",
        "What evidence does not count as a trading claim?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/no-proof-no-action-gate.html"
      ],
      "boundary_summary": [
        "This page is not financial advice, investment advice, trading advice, or a performance claim.",
        "It does not claim live trading, trading alpha, customer deployment, or production execution.",
        "It does not disclose private trading logs, proprietary strategies, or broker/exchange integration details."
      ]
    },
    {
      "route": "/robotics/robot-learning-from-failure/",
      "title": "Robot Learning From Physical Failure",
      "keywords": [
        "robot learning from failure",
        "embodied AI",
        "humanoid robot safety",
        "robot recovery",
        "physical failure learning",
        "robot reliability evidence"
      ],
      "questions": [
        "How can a robot learn from physical failure?",
        "What evidence distinguishes simulation from real-world deployment?",
        "What does local proxy evidence prove and not prove?",
        "How should physical failure be reported without overclaiming?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/robot-vision-downgrade-rule.html"
      ],
      "boundary_summary": [
        "This page does not claim real robot deployment unless a specific public record says so.",
        "It does not treat local proxy or shadow evidence as full physical-world validation.",
        "It does not claim universal robot recovery or production robotics readiness."
      ]
    },
    {
      "route": "/robotics/vla-safety-evidence-downgrade/",
      "title": "VLA Safety When Vision Evidence Degrades",
      "keywords": [
        "VLA model safety",
        "vision-language-action safety",
        "embodied intelligence",
        "robot vision uncertainty",
        "robot stop rule",
        "evidence downgrade"
      ],
      "questions": [
        "What should a robot do when visual evidence is uncertain?",
        "How should a VLA claim be downgraded?",
        "When does a demo stop being evidence for deployment?",
        "What is the difference between perception confidence and action permission?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/robot-vision-downgrade-rule.html"
      ],
      "boundary_summary": [
        "This page does not claim a VLA leaderboard result.",
        "It does not claim production robot deployment.",
        "It does not treat visual evidence alone as authorization for physical action."
      ]
    },
    {
      "route": "/evidence/how-to-read-ai-evidence-map/",
      "title": "How to Read the Public AI Evidence Map",
      "keywords": [
        "AI evidence map",
        "reproducible AI research",
        "AI claim verification",
        "DOI GitHub Hugging Face evidence",
        "counterexample route"
      ],
      "questions": [
        "How do I check an AI research claim?",
        "What is the difference between DOI, GitHub, HF, and the main site?",
        "How do I find the boundary of a claim?",
        "Where should I submit a counterexample?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295"
      ],
      "boundary_summary": [
        "The evidence map does not turn every linked paper into a complete deployment claim.",
        "The Zenodo portfolio index is not a substitute for paper-specific DOI records.",
        "GitHub/HF mirrors are technical routes, not proof that a system is production-ready."
      ]
    },
    {
      "route": "/counterexamples/how-to-challenge-ai-claim/",
      "title": "How to Challenge an AI Research Claim",
      "keywords": [
        "challenge AI research claim",
        "AI counterexample",
        "reproducible AI research",
        "stronger baseline",
        "claim boundary"
      ],
      "questions": [
        "How do I submit a counterexample?",
        "What makes a challenge useful instead of vague?",
        "How do I report a stronger baseline?",
        "How should a claim be narrowed after a challenge?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295"
      ],
      "boundary_summary": [
        "Do not request private credentials, customer data, private logs, or restricted submission material.",
        "Do not treat harassment, private-system probing, or credential requests as public validation.",
        "A counterexample should attack a public claim through public evidence routes."
      ]
    },
    {
      "route": "/systems/sovereign-local-first-ai/",
      "title": "SOVEREIGN as a Local-First AI Decision System",
      "keywords": [
        "local-first AI",
        "AI decision system",
        "private AI assistant architecture",
        "cognitive operating system",
        "SOVEREIGN"
      ],
      "questions": [
        "What is SOVEREIGN in practical terms?",
        "How is a local-first AI decision system different from a cloud chatbot?",
        "What public evidence exists and what remains private?",
        "What does the system not claim today?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/systems/"
      ],
      "boundary_summary": [
        "This page does not claim a commercial product is deployed.",
        "It does not disclose private local runtime state.",
        "It does not claim general intelligence or universal autonomy."
      ]
    },
    {
      "route": "/systems/ai-agent-os-vs-chatbot/",
      "title": "AI Agent OS vs Chatbot",
      "keywords": [
        "AI agent OS",
        "agent operating system",
        "chatbot vs AI agent",
        "AI tool use",
        "agent permissions"
      ],
      "questions": [
        "What is the difference between an AI agent OS and a chatbot?",
        "Why do tools and memory change the risk surface?",
        "Where should evidence and permissions live?",
        "When should an agent refuse to act?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/systems/"
      ],
      "boundary_summary": [
        "This page does not attack any specific product or competitor.",
        "It does not claim that every chatbot should become an operating system.",
        "It does not assert production readiness for SOVEREIGN or any private runtime."
      ]
    },
    {
      "route": "/essays/intelligence-vs-wisdom-ai/",
      "title": "Intelligence vs Wisdom in AI",
      "keywords": [
        "intelligence vs wisdom AI",
        "AI capability vs reliability",
        "AI wisdom",
        "AI failure learning",
        "model capability"
      ],
      "questions": [
        "Does a stronger AI model become wiser?",
        "What is the difference between capability and reliable action?",
        "Why can benchmarks miss real-world failure?",
        "How should wisdom-oriented claims be evidenced?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/benchmarks/wisdombench-failure-learning/"
      ],
      "boundary_summary": [
        "This page does not claim that AI has human wisdom.",
        "It does not claim general intelligence or complete safety.",
        "It does not replace empirical evidence with philosophy."
      ]
    },
    {
      "route": "/concepts/evidence-gated-ai-systems/",
      "title": "What Is Evidence-Gated AI?",
      "keywords": [
        "evidence-gated AI",
        "AI evidence gate",
        "AI guardrails",
        "proof before action",
        "AI safety evidence"
      ],
      "questions": [
        "What is evidence-gated AI?",
        "What evidence should exist before AI acts?",
        "How is an evidence gate different from a policy slogan?",
        "Where can the claim be challenged?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295"
      ],
      "boundary_summary": [
        "This page does not claim that evidence gates solve all AI safety problems.",
        "It does not certify production systems.",
        "It does not convert public research artifacts into commercial deployment proof."
      ]
    },
    {
      "route": "/concepts/proof-carrying-action-explained/",
      "title": "Proof-Carrying Action, Explained",
      "keywords": [
        "proof-carrying action",
        "AI action proof",
        "AI warrant",
        "AI action receipt",
        "AI tool safety"
      ],
      "questions": [
        "What is proof-carrying action?",
        "What should an AI action carry before it is trusted?",
        "What is an action receipt?",
        "How does this prevent authority leaks?"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/proof-carrying-action.html"
      ],
      "boundary_summary": [
        "This page explains a research concept; it is not a certification standard.",
        "It does not claim a private runtime is production-ready.",
        "It does not grant action authority by itself."
      ]
    },
    {
      "route": "/zh/ai-self-certification-grounding/",
      "title": "AI 为什么不能只靠自信回答",
      "keywords": [
        "AI 幻觉检查",
        "大模型输出验证",
        "AI 自证不可靠",
        "证据边界",
        "可靠 AI"
      ],
      "questions": [
        "大模型回答很自信，为什么还可能不可靠？",
        "AI 能不能自己证明自己是对的？",
        "什么样的证据才算能被外部读者检查？",
        "如果证据不够，公开主张应该怎么降级？"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/self-certification-grounding-check.html"
      ],
      "boundary_summary": [
        "本页不承诺消除 AI 幻觉。",
        "本页不把私有日志、未公开运行痕迹当成公开证据。",
        "本页不替代医疗、法律、金融等专业审核。"
      ]
    },
    {
      "route": "/zh/reliable-ai-agent-proof-gate/",
      "title": "可靠 AI 智能体行动前需要什么证明",
      "keywords": [
        "AI 智能体可靠性",
        "AI 行动边界",
        "无证明不行动",
        "自动化决策风险",
        "AI 护栏"
      ],
      "questions": [
        "AI 智能体什么时候应该停下？",
        "自动化执行前需要哪些证据？",
        "工具调用和普通回答的风险为什么不同？",
        "没有证据时，系统应该拒绝还是继续猜？"
      ],
      "evidence_routes": [
        "https://mianzhang.org/evidence/",
        "https://mianzhang.org/papers/",
        "https://mianzhang.org/registries/",
        "https://mianzhang.org/counterexamples/",
        "https://zenodo.org/records/20027295",
        "https://mianzhang.org/concepts/no-proof-no-action-gate.html"
      ],
      "boundary_summary": [
        "本页不承诺任何系统已经生产部署。",
        "本页不提供金融、医疗、法律等高风险行动建议。",
        "本页解释公开证据结构，不公开私有运行细节。"
      ]
    }
  ]
}