研究快照(2026-07-03)

本页承接从 research-agenda.md 卸载的图谱健康度历史快照与 07-02 深度盘点的定性发现。agenda 只保留紧凑的操作仪表盘;本页保留完整历史数据供溯源。下一份快照应在下一次全库盘点时新建,不累积。

一、07-02 深度盘点(历史记录)

以下为 2026-07-02 全库深度盘点的原始记录。部分数据已被 07-03 实测修正(见下节)。

指标07-02 记录值说明
Entity 总数301概念层厚
Topic 总数31中层断层
Comparison 总数19组织/工程骨架在,新方向承载不足
Output 总数5已 31 天无新 output(截至 07-02)
Entity:Topic 比9.7:1中层断层加剧
Entity 缺 evidence_level33 (11%)07-03 已清零(lint PASS)
Comparison 缺 evidence_level14 (74%)07-03 已清零(lint PASS)
Pending raw1707-03 实测 18
Output 转化率5/67+ ≈ 7%严重断层
研究日志被 output 消费率~3%严重断层
归档页显式引用率0%resolved-judgments/principles 是孤岛
Entity 完全孤儿(0 入链)14 (4.7%)07-03 实测仅 2
Entity 低连接(≤2 入链)95 (31.6%)近 1/3 半孤立

07-02 新发现(定性)

  • AGI Economics 14 entity 成簇 0% topic 承载
  • Memory Systems 9 entity 0% 承载(含 Memory-Architecture/Dreaming/Staleness)
  • Security & Privacy 14 entity 成簇 0% topic 承载
  • Agent Observability 4 entity 待建 topic
  • 完全缺失领域:Prompt Engineering / RAG 架构深度 / Multimodal AI / AI Legal & Compliance / Agent Sandboxing
  • Output 最新距今 >31 天,49 条新判断零消费

二、07-03 实测修正

基于 tools/wiki-lint.py(100/100 PASS)与全库反链统计的实测值。

指标07-03 实测与 07-02 对比
lint 分数100/100 PASSevidence_level 阻断已清零
Entity301持平
Topic31持平
Comparison19持平
Source160+6
Output5持平(仍断层)
Raw175(含根目录零散)+3
待编译 raw18+1
完全孤儿 entity2大幅改善(Digital-Life-KazkeShared-Memory-Contamination
零入链 topic(死 topic)7新发现模型安全分歧/Lean-Indie-Engineering/Karpathy-AI-Thought/CEO-Hands-On-AI/AI-Mathematics-Future/AI-Management-Mindset-Transfer/Agentic-AI-Ecosystem
零被引 output5/5output 层彻底孤岛
零入链 comparison6Vibe-Coding-vs-Software-2.0/Ontology-vs-Knowledge-Graph/Deployment-Product-Flywheel-vs-Tacit-Knowledge-Lock-In/Cook-vs-Chef/AI-Ready-Organization-vs-Agent-First-Enterprise/Agent-First-vs-Traditional-Automation

三、07-03 已完成但未回填的轮次

07-03 research-log 已完成 3 轮 roundtable,产出新判断但尚未回填 entity/topic/comparison。

轮次产出待回填落点
AI-Native 测试与验证方法论Agent 测试三支柱框架(正向/负向/反馈)+ 沙漏形测试金字塔 + Agent Quality PipelineAI-Native-Testing topic
跨境 AI 治理差异AI 治理三范式比较框架(EU/US/CN)+ 多维度碎片化拼图AI-Governance-Regimes comparison
开源 Agent 框架收敛/分化Agent 框架分化定理(后端模式分化,非前端收敛)Open-Source-Agent-Ecosystem comparison

四、成簇未承载主题(07-03 重新识别)

通过 entity 命名 + tag 聚类重新识别的成簇但零 topic 承载区域。

entity 数代表节点状态
记忆系统13Memory-Architecture/Dreaming/Staleness/Context-Rot/Memory-Synthesis/Multi-Layer-Memory/Three-Layer-Agent-Memory/Shared-Memory-Contamination/Sleep-Token/Deterministic-Retrieval/Bounded-Context/Sufficient-Context/Memory-Summary-Page零 topic
AGI 经济学15AGI-Economics/Demand-Collapse/Allocation-Economy/Tokenpocalypse/Token-Supply-Chain/Token-Maxing/Jevons-Paradox/Jevons-Paradox-for-Knowledge-Work/Amortized-Intelligence/Intrinsic-Wealth-Accumulation/Latent-Knowledge-Demand/Labor-Market-Impact/Messy-Middle/Relational-Sector/Always-On-Economy零 topic
安全与隐私16Agent-Containment/Prompt-Injection-Risk/Zero-PHI-Policy/MosaicLeaks/Mosaic-Effect/N-Hour/Cybersecurity-Openness/Cybersecurity-Proof-of-Work/Security-Hardening-Phase/Model-Safety-Divergence/Adversarial-Distillation/API-Distillation-Catch-Up/Model-Distillation/Pixel-Facts/AI-Artifact-Classification/Custom-Policy-Guardrails零 topic
Skill Engineering5Skill-Chains/Skill-Internalization/Thin-Harness-Fat-Skills/AGENTS-md/CLAUDE-md零 topic(07-03 新剪藏 Anthropic Skill Engineering 实践)
Distillation 与模型经济7Adversarial-Distillation/API-Distillation-Catch-Up/Model-Distillation/Specialized-Small-Models/Unified-Model-Strategy/Layered-AI-Sourcing/Hardware-Sovereignty零 topic
Harness 工程簇6Agent-Harness/Harness-Engineering/HaaS-Harness-as-a-Service/Agent-Loops/Ralph-Loops/Thin-Harness-Fat-Skills部分(Organization-as-Agent-Harness)

五、完全缺失领域(零 entity 覆盖)

缺失领域优先级理由
Prompt EngineeringP2基础但知识库主线在 agent 层之上
Multimodal AIP2Agent 行动面扩张方向
AI Fine-tuning / Post-training 工程化P2有 distillation 但缺训练方法
AI HardwareP3仅 Hardware-Sovereignty 1 个
AI Legal & ComplianceP1治理主线但零 entity(虽有 Over-Compliance)
AI Sustainability / 能耗P3零覆盖
Agent SandboxingP1安全主线(虽有 Agent-Containment)
数据/语料工程P3知识系统层缺口
Agent UI/UXP3仅有 ACI