{ "id": "EXP-2026-0004", "kind": "experiment", "label": "R3 — epistemic commit transaction vs scattered and centralized application gates", "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-2026-0004/", "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": "All canonical writes in AER-0 were migrated to an Epistemic Commit Transaction (claim, evidence, provenance, valid/observed time, expected version, operator, verification policy, authority, dependencies, refresh policy); direct candidate commit became a negative path. Three systems ran the same governance witnesses: an application whose policy is scattered across callers, an application with one centralized mandatory gate, and AER-ECT. The centralized application gate matched AER-ECT on every tested property; computational uniqueness is not supported. 48 tests.", "eml_summary_zh": "AER-0 所有 canonical 寫入遷移到 Epistemic Commit Transaction（claim、evidence、provenance、有效／觀察時間、expected version、算子、驗證政策、權限、依賴、refresh policy）；直接 candidate commit 變成負向路徑。三套系統跑同一組治理見證：政策分散在各 caller 的應用、有單一集中強制 gate 的應用、AER-ECT。集中式應用 gate 在每個測試性質上都追平 AER-ECT；不支持計算獨特性。48 個測試。", "eml_label_zh": "R3——認識論 commit 交易 vs 分散式與集中式應用 gate", "eml_primary_domain": "AI Architecture", "eml_domains": [ "Evaluation", "Agent Systems" ], "eml_program_id": "PRG-2026-0001", "eml_hypothesis": "Binding evidence, provenance, verification, authority, expected version, temporal validity, dependencies and refresh policy into one mandatory canonical-mutation boundary is a new computational capability — or only an architectural elevation of existing mechanisms.", "eml_metrics": { "verdict": "ArchitecturalElevation SUPPORTED; ComputationalUniqueness NOT SUPPORTED", "tests_passed": 48, "table": { "unprovenanced_write_blocked": { "scattered": "FAIL", "central_gate": "PASS", "aer_ect": "PASS" }, "stale_write_conflict_caught": { "scattered": "FAIL", "central_gate": "PASS", "aer_ect": "PASS" }, "automatic_audit": { "scattered": "FAIL on mutated path", "central_gate": "PASS", "aer_ect": "PASS" }, "single_governance_site": { "scattered": "NO", "central_gate": "YES", "aer_ect": "YES" }, "canonical_node_links_transaction": { "scattered": "N/A", "central_gate": "optional", "aer_ect": "PASS" } }, "novelty": { "primitive": "WEAK", "transaction": "WEAK", "provenance": "NONE claimed", "versioning": "NONE claimed", "belief_revision": "NONE claimed", "temporal": "NONE claimed", "compositional": "PLAUSIBLE / NOT PROVEN" } }, "eml_interpretation": "Prior art (truth maintenance, transaction logic, agent knowledge-base transactions, W3C PROV, bitemporal data, PDP/PEP, age-of-information scheduling) covers every part. The value is 'there is only one legal write path' instead of 'remember to enforce policy everywhere' — an epistemically governed runtime, not a new computational species. A fair application that centralizes the same rules converges to the same form, which is itself an attractor witness.", "eml_limitations": [ "General performance, security advantage and real LangGraph executable equivalence NOT MEASURED.", "Not an exhaustive novelty search; establishes no patent or publication novelty." ], "eml_controls": [ "APP_CENTRALIZED_GATE is the fair strong opponent; APP_SCATTERED_POLICY is a mutation witness, not a claim about all applications." ], "eml_run_count": 1, "eml_result_type": "MIXED", "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-2026-0004/", "json": "/ai/experiments/EXP-2026-0004/index.json", "relations": [ { "id": "REL-2026-0127", "predicate": "runs_on", "source": "EXP-2026-0004", "target": "SYS-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0128", "predicate": "uses_benchmark", "source": "EXP-2026-0004", "target": "BEN-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0129", "predicate": "tests", "source": "EXP-2026-0004", "target": "THY-2026-0006", "status": "ACTIVE" }, { "id": "REL-2026-0130", "predicate": "tests", "source": "EXP-2026-0004", "target": "THY-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0131", "predicate": "tests", "source": "EXP-2026-0004", "target": "THY-2026-0003", "status": "ACTIVE" }, { "id": "REL-2026-0132", "predicate": "extends", "source": "EXP-2026-0004", "target": "EXP-2026-0003", "status": "ACTIVE" }, { "id": "REL-2026-0133", "predicate": "produced", "source": "EXP-2026-0004", "target": "ART-2026-0017", "status": "ACTIVE" }, { "id": "REL-2026-0134", "predicate": "produces", "source": "EXP-2026-0004", "target": "RST-2026-0003", "status": "ACTIVE" }, { "id": "REL-2026-0140", "predicate": "extends", "source": "EXP-2026-0005", "target": "EXP-2026-0004", "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 } }