{ "id": "EXP-2026-0003", "kind": "experiment", "label": "R2 — source-grounded structural comparison with LangGraph 1.2.11", "created_at": "2026-09-08", "updated_at": "2026-09-08", "values": { "eml_status": "STABLE", "eml_evidence_level": "E2", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/experiments/EXP-2026-0003/", "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" }, "eml_summary": "LangGraph 1.2.11 (checkpoint 4.2.0, checkpoint-sqlite 3.1.1) could not be installed — outbound PyPI DNS was unavailable — so the round pins public release/source contracts and compares them with AER-0's executable invariants. Runtime-owned persistent state, checkpoint history, version tracking, long-term stores and TTL memory all converge (LangGraph is richer on resume, time travel, concurrency and delta checkpointing). What remains AER-default-distinct: candidate → verify → commit, mandatory fact provenance, node-level optimistic epistemic commit, task-conditioned tension refresh, capability/container separation, explicit epistemic-operator routing, and the graph meaning an epistemic world representation rather than control flow.", "eml_summary_zh": "LangGraph 1.2.11（checkpoint 4.2.0、checkpoint-sqlite 3.1.1）裝不起來——對外 PyPI DNS 不可用——因此本輪釘住公開的 release／source 合約，與 AER-0 可執行的不變量比較。runtime 持有的持久狀態、checkpoint 歷史、版本追蹤、長期 store 與 TTL 記憶全部收斂（LangGraph 在 resume、time travel、並行控制與 delta checkpoint 上更豐富）。仍屬 AER 預設獨有的是：candidate → verify → commit、強制 fact provenance、節點層樂觀認識論 commit、任務條件化的張力刷新、capability／container 分離、明示的認識論算子路由，以及「圖」指的是認識論世界表徵而非控制流。", "eml_label_zh": "R2——對 LangGraph 1.2.11 的 source-grounded 結構比較", "eml_primary_domain": "AI Architecture", "eml_domains": [ "Evaluation", "Agent Systems" ], "eml_program_id": "PRG-2026-0001", "eml_hypothesis": "Against a real stateful agent runtime, some AER semantics remain distinct beyond 'external state outside the model'.", "eml_metrics": { "verdict": "STRONG_CONVERGENCE_WITH_REMAINING_SEMANTIC_CORE", "evidence_mode": "SOURCE_GROUNDED_STRUCTURAL", "executable_langgraph": "NOT_RUN", "classification": { "runtime_owned_persistent_state": "CONVERGED", "checkpoint_history": "CONVERGED; LangGraph richer", "version_tracking": "CONVERGED, different granularity", "ttl_memory": "PARTIAL_CONVERGENCE", "tension_refresh": "AER_DEFAULT_DISTINCT", "graph_semantics": "SEMANTICALLY_DISTINCT", "candidate_verify_commit": "AER_DEFAULT_DISTINCT", "mandatory_provenance": "AER_DEFAULT_DISTINCT", "pending_write_resume": "LANGGRAPH_RICHER", "time_travel_fork": "LANGGRAPH_RICHER", "capability_container_separation": "AER_DEFAULT_DISTINCT; not a core LangGraph primitive found", "epistemic_router": "AER_DEFAULT_DISTINCT" } }, "eml_interpretation": "The candidate AER core after R2 is epistemic world-state semantics + candidate/verify/commit authority + mandatory fact provenance + node-local tension refresh + capability/container separation + explicit epistemic-operator routing — a major compression of the whitepaper. Everything else is a recurring engineering form.", "eml_limitations": [ "Cross-runtime performance, trace and operational equivalence NOT MEASURED; AER side executable, LangGraph side documentary.", "AER-0 is not a 'more advanced runtime' on the available evidence." ], "eml_run_count": 0, "eml_result_type": "MIXED", "eml_procedure": "Pin LangGraph release 1.2.11 at commit 644815f (checkpoint base, PregelProtocol, BaseStore, Agent Protocol docs); classify each axis; keep AER invariants covered by the local suite.", "eml_software_environment": "Python 3.11+, SQLite; no network, no external database, no LLM API required.", "eml_reproduction_instructions": "Extract the round's FINAL bundle; python -m pytest -q; python -m examples.research_assistant_demo; python -m benchmarks.. Checksums in SHA256SUMS.txt.", "eml_completed_at": "2026-09-08", "eml_data_basis": "DETERMINISTIC RUNTIME", "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/experiments/EXP-2026-0003/", "json": "/ai/experiments/EXP-2026-0003/index.json", "relations": [ { "id": "REL-2026-0116", "predicate": "runs_on", "source": "EXP-2026-0003", "target": "SYS-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0117", "predicate": "uses_benchmark", "source": "EXP-2026-0003", "target": "BEN-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0118", "predicate": "tests", "source": "EXP-2026-0003", "target": "THY-2026-0003", "status": "ACTIVE" }, { "id": "REL-2026-0119", "predicate": "tests", "source": "EXP-2026-0003", "target": "THY-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0120", "predicate": "tests", "source": "EXP-2026-0003", "target": "THY-2026-0007", "status": "ACTIVE" }, { "id": "REL-2026-0121", "predicate": "extends", "source": "EXP-2026-0003", "target": "EXP-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0122", "predicate": "produced", "source": "EXP-2026-0003", "target": "ART-2026-0016", "status": "ACTIVE" }, { "id": "REL-2026-0123", "predicate": "produces", "source": "EXP-2026-0003", "target": "RST-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0132", "predicate": "extends", "source": "EXP-2026-0004", "target": "EXP-2026-0003", "status": "ACTIVE" } ], "snapshot": { "snapshot_id": "AI-SNAPSHOT-v0.1-fe85b9694a45", "created_at": "2026-09-11T05:00:27Z", "format_version": "0.1", "sedb_baseline": "v0.4B contract; static source content/ai/", "generator_version": "evemisslab-com ai_research 0.1", "object_count": 124, "relation_count": 499, "artifact_count": 58 } }