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結果RST-2026-0002v0.1

R2 分類矩陣

七個軸收斂或部分收斂(其中四個 LangGraph 更豐富);六個軸為 AER 預設獨有;圖語義為語義上不同。

研究狀態
STABLE 目前的研究結論相對穩定
證據等級
E2 受控實驗
結果
MIXED
資料基礎
DETERMINISTIC RUNTIME 在真實 runtime 裡執行的決定性情境;程式碼與做法都列出,數字是什麼就是什麼。
版本
0.1
更新
2026-09-08
建立
2026-09-08
領域
Evaluation
計畫
PRG-2026-0001 自適應世界狀態系統的第一原理框架
作者
Neo.K (EveMissLab)
AI 協作
Sol (GPT-5.6, OpenAI ChatGPT)

觀察到的結果

metrics
converged_or_partial
7
langgraph_richer
4
aer_default_distinct
6

詮釋

interpretation
Supports the attractor hypothesis for external state, persistence, graph/workflow execution, history and durable recovery; moves the remaining disagreement upward into what state means, who may mutate it and what a mutation requires.

限制

limitations
  • Documentary evidence on the LangGraph side; no executable replay.

主張

來源關係目標狀態ID
RST-2026-0002 R2 分類矩陣supportsTHY-2026-0003 智能架構吸引子ACTIVEREL-2026-0124
RST-2026-0002 R2 分類矩陣qualifiesTHY-2026-0002 Canonical 符號狀態與 candidate → verify → commit 權限ACTIVEREL-2026-0125
RST-2026-0002 R2 分類矩陣qualifiesTHY-2026-0007 能力記憶與載體中立計算:Reuse ≻ Adapt ≻ CreateACTIVEREL-2026-0126

關係

來源關係目標狀態ID
RST-2026-0002 R2 分類矩陣supportsTHY-2026-0003 智能架構吸引子ACTIVEREL-2026-0124
RST-2026-0002 R2 分類矩陣qualifiesTHY-2026-0002 Canonical 符號狀態與 candidate → verify → commit 權限ACTIVEREL-2026-0125
RST-2026-0002 R2 分類矩陣qualifiesTHY-2026-0007 能力記憶與載體中立計算:Reuse ≻ Adapt ≻ CreateACTIVEREL-2026-0126
EXP-2026-0003 R2——對 LangGraph 1.2.11 的 source-grounded 結構比較producesRST-2026-0002 R2 分類矩陣ACTIVEREL-2026-0123

歷史與來源歷程

Canonical URL
https://evemisslab.com/ai/results/RST-2026-0002/
機器可讀
/ai/results/RST-2026-0002/index.json
快照
AI-SNAPSHOT-v0.1-fe85b9694a45
來源歷程
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