{ "id": "EXP-2026-0013", "kind": "experiment", "label": "PACC-Lab v0.6 — hierarchical composed coordinate", "created_at": "2026-09-09", "updated_at": "2026-09-09", "values": { "eml_status": "STABLE", "eml_evidence_level": "E3", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/experiments/EXP-2026-0013/", "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": "A preregistered 95-dimensional composed coordinate — the validated task-state map's held-out decision quotient combined with the current relation pattern and a bounded set of interaction terms — predicts the Bayesian common-cause coordinate for all four families in both geometries: composed latent JS 0.0034–0.0073 versus 0.040–0.062 for shuffled/constant and 0.040–0.060 for a deliberately broken composition; counterfactual JS 0.0018–0.0047; four secondary seeds give direct 0.0 and composed 1.0 pass rates.", "eml_summary_zh": "一個預登記的 95 維組合座標——已驗證任務狀態映射的 held-out 決策商，結合當前關係模式與有界的交互項——在兩種幾何下對四個家族都預測出 Bayesian 共同因座標：組合潛在 JS 0.0034–0.0073，shuffled／constant 為 0.040–0.062，刻意弄壞的組合為 0.040–0.060；反事實 JS 0.0018–0.0047；四個次要 seed 下 direct 通過率 0.0、composed 1.0。", "eml_label_zh": "PACC-Lab v0.6——階層式組合座標", "eml_primary_domain": "Model Representation", "eml_domains": [ "Evaluation", "Formal AI" ], "eml_program_id": "PRG-2026-0001", "eml_hypothesis": "The latent probability coordinate is compositional relative to the non-probabilistic state: decision quotient + relation pattern, not the raw state, maps to the common-cause posterior.", "eml_metrics": { "verdict": "HIERARCHICAL_COMPOSED_COORDINATE_RESCUES_LATENT_DEPENDENCE", "direct_robust": "0/4", "composed_robust": "4/4", "moderate_N0": { "composed_latent_js": 0.003603, "best_control": 0.061508, "broken_composition": 0.058196, "counterfactual": 0.00278 }, "high_N0": { "composed_latent_js": 0.003335, "best_control": 0.03973, "broken_composition": 0.041238 } }, "eml_interpretation": "Destroying the train alignment between task quotient and relation pattern destroys most of the signal, so the rescue is not a snapshot fit. Reinterprets v0.5: the information was present; adding raw coordinates did not make the latent state a direct coordinate.", "eml_limitations": [ "Does not show all non-probabilistic states admit such a composition, that the coordinate transfers between geometries without refitting, or that clusters can be discovered unsupervised." ], "eml_random_seeds": [ "20260909", "4 secondary seeds" ], "eml_run_count": 2, "eml_result_type": "POSITIVE", "eml_controls": [ "shuffled-target mapping", "constant prediction", "broken composition (v0.6+)", "target-local refit (v0.7+)" ], "eml_software_environment": "Python; deterministic seeded generators; no network, no LLM.", "eml_reproduction_instructions": "Extract the version's FINAL bundle; python -m pytest -q; run the version's primary script with the recorded seed; docs/PACC_LAB_v0.N_RESULTS.md and docs/EXPERIMENT_PROTOCOL_v0.N.md are inside the bundle.", "eml_completed_at": "2026-09-09", "eml_data_basis": "SYNTHETIC", "eml_model_ids": [ "MOD-2026-0001", "MOD-2026-0002", "MOD-2026-0003", "MOD-2026-0004", "MOD-2026-0005" ], "eml_dataset_ids": [ "DAT-2026-0001" ], "eml_benchmark_ids": [ "BEN-2026-0001" ], "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/experiments/EXP-2026-0013/", "json": "/ai/experiments/EXP-2026-0013/index.json", "relations": [ { "id": "REL-2026-0217", "predicate": "runs_on", "source": "EXP-2026-0013", "target": "SYS-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0218", "predicate": "uses_benchmark", "source": "EXP-2026-0013", "target": "BEN-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0219", "predicate": "uses_dataset", "source": "EXP-2026-0013", "target": "DAT-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0220", "predicate": "uses_model", "source": "EXP-2026-0013", "target": "MOD-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0221", "predicate": "uses_model", "source": "EXP-2026-0013", "target": "MOD-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0222", "predicate": "uses_model", "source": "EXP-2026-0013", "target": "MOD-2026-0003", "status": "ACTIVE" }, { "id": "REL-2026-0223", "predicate": "uses_model", "source": "EXP-2026-0013", "target": "MOD-2026-0004", "status": "ACTIVE" }, { "id": "REL-2026-0224", "predicate": "uses_model", "source": "EXP-2026-0013", "target": "MOD-2026-0005", "status": "ACTIVE" }, { "id": "REL-2026-0225", "predicate": "tests", "source": "EXP-2026-0013", "target": "THY-2026-0005", "status": "ACTIVE" }, { "id": "REL-2026-0226", "predicate": "extends", "source": "EXP-2026-0013", "target": "EXP-2026-0012", "status": "ACTIVE" }, { "id": "REL-2026-0227", "predicate": "produced", "source": "EXP-2026-0013", "target": "ART-2026-0026", "status": "ACTIVE" }, { "id": "REL-2026-0228", "predicate": "produces", "source": "EXP-2026-0013", "target": "RST-2026-0009", "status": "ACTIVE" }, { "id": "REL-2026-0239", "predicate": "extends", "source": "EXP-2026-0014", "target": "EXP-2026-0013", "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 } }