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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",
      "values": {
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        "eml_evidence_level": "E2",
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        "eml_canonical_url": "https://evemisslab.com/ai/research/RES-2026-0001/",
        "eml_provenance": {
          "source": "EveMissLab research collection: Adaptive Epistemic Systems (真本體論13)",
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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"
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        "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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      "id": "THY-2026-0001",
      "kind": "theory",
      "label": "Asymmetric spacetime tension: temporally heterogeneous world knowledge",
      "created_at": "2026-09-07",
      "updated_at": "2026-09-08",
      "values": {
        "eml_status": "EXPERIMENTAL",
        "eml_evidence_level": "E2",
        "eml_object_version": "0.1",
        "eml_canonical_url": "https://evemisslab.com/ai/theory/THY-2026-0001/",
        "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",
          "extracted_at": "2026-09-11",
          "generator": "tools/extract_aes/extract.py",
          "claim_boundary": "status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports"
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        "eml_summary": "Asymmetry is lifted from edge direction or weight to the effective time scale of nodes and relations. Each node carries stability, information-decay rate, update tension, system impact and local valid time; refresh is triggered by tension, external disturbance, information age, change velocity and event relevance rather than by one global clock, so stable knowledge sleeps, volatile knowledge refreshes often, and a rarely changing high-impact node triggers wide dependency recomputation when it does change.",
        "eml_summary_zh": "把非對稱性從邊的方向或權重，提升到節點與關係的有效時間尺度。每個節點帶有穩定性、資訊衰減率、更新張力、系統影響度與局部有效時間；刷新由張力、外部擾動、資訊年齡、變化速度與事件相關性觸發，而不是一個全域時鐘——穩定知識沉睡、快變知識高頻更新、低頻高影響的基礎節點一旦改變就觸發大範圍依賴重算。",
        "eml_label_zh": "非對稱時空張力：時間異質的世界知識",
        "eml_primary_domain": "Context & Memory",
        "eml_domains": [
          "Computation",
          "AI Architecture"
        ],
        "eml_program_id": "PRG-2026-0001",
        "eml_data_basis": "THEORY",
        "eml_assumptions": [
          "Knowledge stability is highly non-uniform across formal, physical, social and real-time domains.",
          "Update cost is not free; over-refresh and under-refresh are both failures."
        ],
        "eml_claims": [
          "World knowledge is temporally heterogeneous.",
          "Freshness is not a timestamp: it is decided jointly by world change rate, source reliability, dependency structure, task risk and system impact (Paper 02)."
        ],
        "eml_predictions": [
          "Architecture contribution AC(λ=0) ≈ 0 in a static world, while AC(λ_heterogeneous) > 0; a fixed synchronous-refresh baseline should be worse in highly heterogeneous time-scale environments (Paper 11 §80–82)."
        ],
        "eml_falsification_conditions": [
          "No measurable staleness/recomputation advantage over fixed-TTL and event-driven refresh under heterogeneous dynamics.",
          "The tension field is only an LLM guess with no runtime enforcement — then the theory has not been tested (Paper 11 §29)."
        ],
        "eml_known_limitations": [
          "R1 found that in an event-rich deterministic world, pure event invalidation is cheaper than tension scheduling (AER 3 recomputations vs 2)."
        ],
        "eml_authors": [
          "Neo.K (EveMissLab)"
        ],
        "eml_ai_collaborators": [
          "Sol (GPT-5.6, OpenAI ChatGPT)"
        ]
      },
      "canonical_url": "https://evemisslab.com/ai/theory/THY-2026-0001/",
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