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  "id": "RES-2026-0001",
  "kind": "research",
  "label": "Blind derivation of an adaptive epistemic architecture",
  "created_at": "2026-09-07",
  "updated_at": "2026-09-08",
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    "eml_provenance": {
      "source": "EveMissLab research collection: Adaptive Epistemic Systems (真本體論13)",
      "extracted_by": "Splice (Claude Code), reading the canonical UTF-8 sources and each lab's own result reports",
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    "eml_summary": "Starting only from first principles — temporally heterogeneous world knowledge, canonical symbolic state, adaptive representation space, capability memory, substrate-neutral compute — the eleven-paper series derives a candidate architecture and then asks the uncomfortable question the derivation raised: why does it look so much like modern compound AI, and does any of the difference survive into a runtime?",
    "eml_summary_zh": "只從第一原理出發——時間異質的世界知識、canonical 符號狀態、自適應表示空間、能力記憶、載體中立計算——十一篇系列推導出一個候選架構，再面對推導本身冒出的不舒服問題：它為什麼越來越像現代複合 AI？差異有沒有任何一部分能活到 runtime 裡？",
    "eml_label_zh": "自適應認識系統的盲推導",
    "eml_primary_domain": "AI Architecture",
    "eml_domains": [
      "Context & Memory",
      "Agent Systems",
      "AI-native Systems"
    ],
    "eml_program_id": "PRG-2026-0001",
    "eml_data_basis": "THEORY",
    "eml_research_questions": [
      "What does an intelligent system look like when derived from world-state, freshness, memory and reuse requirements rather than from existing AI paradigms?",
      "Which of its architectural semantics — canonical state ownership, candidate→verify→commit, mandatory provenance, tension-scheduled refresh — survive comparison with progressively stronger baselines?",
      "If the differences do not survive, is the convergence itself the phenomenon to explain (an intelligent architecture attractor)?"
    ],
    "eml_claims": [
      "World knowledge is temporally heterogeneous; a single global refresh clock is either wasteful or stale.",
      "Natural language should be an interface to canonical state, not the canonical state.",
      "After removing what strong baselines already do, the candidate AER core is: epistemic world-state semantics + candidate/verify/commit authority + mandatory fact provenance + node-local tension refresh + capability/container separation + explicit epistemic-operator routing (R2)."
    ],
    "eml_limitations": [
      "No performance, cost or long-horizon comparison against a production agent framework has been run; R2's LangGraph comparison is source-grounded only.",
      "One implementation and one substrate cannot speak for all implementations, benchmarks, model families or substrates (Paper 11 §114)."
    ],
    "eml_authors": [
      "Neo.K (EveMissLab)"
    ],
    "eml_ai_collaborators": [
      "Sol (GPT-5.6, OpenAI ChatGPT)"
    ]
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