{ "section": "models", "kind": "model", "canonical": "https://evemisslab.com/ai/models/", "count": 6, "records": [ { "id": "MOD-2026-0006", "kind": "model", "label": "Qwythos-9B-v2 (Q4_K_M, local, Ollama)", "created_at": "2026-09-11", "updated_at": "2026-09-11", "values": { "eml_status": "STABLE", "eml_evidence_level": "E2", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0006/", "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": "Open-weight 9.0B model of the qwen35 family, GGUF Q4_K_M, served locally by Ollama 0.33.3 on an RTX 3070. Used as generator, selector and judge in the real local run of the PACC-Hybrid v0.2 protocol, with thinking disabled in runs 1–2 and enabled (effort medium, +3,500 output tokens per call) in run 3.", "eml_summary_zh": "qwen35 系的開放權重 9.0B 模型，GGUF Q4_K_M，由 Ollama 0.33.3 在 RTX 3070 上本地服務。在 PACC-Hybrid v0.2 協定的真實本地執行中同時擔任生成器、選擇器與評審，第一、二次執行關閉思考，第三次執行開啟（effort medium，每次呼叫多 3,500 個輸出 token）。", "eml_label_zh": "Qwythos-9B-v2（Q4_K_M，本地，Ollama）", "eml_primary_domain": "Evaluation", "eml_program_id": "PRG-2026-0001", "eml_data_basis": "REAL MODEL", "eml_provider": "empero-ai (Hugging Face GGUF) via Ollama", "eml_model_version": "0881a8d857f619cffa33395e9a1c3d1e49eb512598bac4674ed3499bdc308114", "eml_access_type": "local, loopback only; open weights", "eml_context_window": 1048576, "eml_configuration_notes": [ "run tag qwythos-9b-v2-q4km-ctx8k:latest = base hf.co/empero-ai/Qwythos-9B-v2-GGUF:Q4_K_M (digest 5008e78bba127262f3f7ad86425bb49a5e0f47bb1959a4d30bfe17832ec45856) + PARAMETER num_ctx 8192 via scripts/Modelfile.qwythos-ctx8k; Ollama's default 4096 context aborted the first primary attempt after 55 calls", "reasoning.effort = none (thinking off) for every call", "Ollama /v1/responses, OpenAI-compatible; package provider unchanged", "run 3 tag qwythos-9b-v2-q4km-ctx12k:latest = same base + PARAMETER num_ctx 12288 (digest 7ffdc602f28799ffa312ea8dc85c364b047e1386380c4616c21b02c96c3f85d5); served with OLLAMA_FLASH_ATTENTION=1 and OLLAMA_KV_CACHE_TYPE=q8_0; reasoning.effort = medium with +3500 output tokens on every call" ], "eml_known_behavior_notes": [ "With thinking enabled, hidden reasoning consumes the protocol's output-token budgets and output_text comes back empty.", "As judge it sometimes returns a rubric sentence as pattern_label, which makes pattern-entropy numbers fragile.", "With thinking on and +3,500 tokens per call the protocol runs (380 calls, 3.7 h at 25–33 tok/s); reasoning still exhausted the whole budget once in 380 calls (empty output, regenerated). All deterministic literal checks pass with thinking on." ], "eml_canonical_external_reference": "https://huggingface.co/empero-ai/Qwythos-9B-v2-GGUF", "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0006/", "json": "/ai/models/MOD-2026-0006/index.json" }, { "id": "MOD-2026-0001", "kind": "model", "label": "N0 — signed support", "created_at": "2026-09-08", "updated_at": "2026-09-09", "values": { "eml_status": "STABLE", "eml_evidence_level": "E2", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/models/MOD-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" }, "eml_summary": "Additive signed evidence support per hypothesis; under uniform reliability it is closely related to rescaled log-evidence accumulation, which is why the heterogeneous and adversarial stresses exist.", "eml_summary_zh": "每個假設的加性帶號證據支持；在均勻可靠度下它與重縮放的 log-evidence 累積關係密切——這正是異質與對抗壓力測試存在的原因。", "eml_label_zh": "N0——帶號支持", "eml_primary_domain": "Model Representation", "eml_program_id": "PRG-2026-0001", "eml_data_basis": "SYNTHETIC", "eml_provider": "EveMissLab (PACC-Lab)", "eml_access_type": "source inside the PACC-Lab FINAL bundles", "eml_known_behavior_notes": [ "Exact reparameterization of N1 (agreement 1.000, R² 1.000): counted as one family with N1." ], "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0001/", "json": "/ai/models/MOD-2026-0001/index.json" }, { "id": "MOD-2026-0002", "kind": "model", "label": "N1 — ordinal tournament", "created_at": "2026-09-08", "updated_at": "2026-09-09", "values": { "eml_status": "STABLE", "eml_evidence_level": "E2", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0002/", "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": "Pairwise ordinal competition between hypotheses; behaviourally and linearly identical to N0 on every tested trajectory.", "eml_summary_zh": "假設之間的成對序數競爭；在所有測過的軌跡上，行為與線性關係都與 N0 相同。", "eml_label_zh": "N1——序數錦標賽", "eml_primary_domain": "Model Representation", "eml_program_id": "PRG-2026-0001", "eml_data_basis": "SYNTHETIC", "eml_provider": "EveMissLab (PACC-Lab)", "eml_access_type": "source inside the PACC-Lab FINAL bundles", "eml_known_behavior_notes": [ "Exact reparameterization of N0: never counted as an independent confirmation." ], "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0002/", "json": "/ai/models/MOD-2026-0002/index.json" }, { "id": "MOD-2026-0003", "kind": "model", "label": "N2 — signed graph", "created_at": "2026-09-08", "updated_at": "2026-09-09", "values": { "eml_status": "STABLE", "eml_evidence_level": "E2", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/models/MOD-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": "Signed relation graph over hypotheses with graph dynamics; the basin-boundary family — fails the representation threshold under adversarial geometry (v0.2), is less stable under high correlation (v0.4), and has the narrowest, seed-sensitive transfer basin (v0.8).", "eml_summary_zh": "假設之間的帶號關係圖與圖動力學；吸引域邊界家族——在對抗幾何下未達表徵門檻（v0.2）、高相關下較不穩定（v0.4）、轉移吸引域最窄且對 seed 敏感（v0.8）。", "eml_label_zh": "N2——帶號圖", "eml_primary_domain": "Model Representation", "eml_program_id": "PRG-2026-0001", "eml_data_basis": "SYNTHETIC", "eml_provider": "EveMissLab (PACC-Lab)", "eml_access_type": "source inside the PACC-Lab FINAL bundles", "eml_known_behavior_notes": [ "Independent family under the preregistered linear diagnostic." ], "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0003/", "json": "/ai/models/MOD-2026-0003/index.json" }, { "id": "MOD-2026-0004", "kind": "model", "label": "N3 — constraint competition", "created_at": "2026-09-08", "updated_at": "2026-09-09", "values": { "eml_status": "STABLE", "eml_evidence_level": "E2", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/models/MOD-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": "A nonlinear constraint-field system added in v0.2 as the third structurally distinct family; converges bidirectionally across geometries (v0.7) and shares the wider N0/N1 basin (v0.8).", "eml_summary_zh": "v0.2 加入的非線性約束場系統，作為第三個結構相異的家族；跨幾何雙向收斂（v0.7），與 N0/N1 共享較寬的吸引域（v0.8）。", "eml_label_zh": "N3——約束競爭", "eml_primary_domain": "Model Representation", "eml_program_id": "PRG-2026-0001", "eml_data_basis": "SYNTHETIC", "eml_provider": "EveMissLab (PACC-Lab)", "eml_access_type": "source inside the PACC-Lab FINAL bundles", "eml_known_behavior_notes": [ "Independent family under the preregistered linear diagnostic (R² < 0.995 against N0)." ], "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0004/", "json": "/ai/models/MOD-2026-0004/index.json" }, { "id": "MOD-2026-0005", "kind": "model", "label": "Bayesian reference (exact posterior / Beta-Bernoulli / joint common-cause / HMM)", "created_at": "2026-09-08", "updated_at": "2026-09-09", "values": { "eml_status": "STABLE", "eml_evidence_level": "E2", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0005/", "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": "The probabilistic side of every comparison: exact posteriors with numerical reliabilities, Beta-Bernoulli source-quality learning, the joint-likelihood common-cause model for correlated clusters (and its naive-independence negative control), and a Bayesian HMM for regime switches.", "eml_summary_zh": "每次比較的概率端：帶數值可靠度的精確後驗、Beta-Bernoulli 來源品質學習、相關叢集的聯合概似共同因模型（及其天真獨立負控制），以及 regime 切換用的 Bayesian HMM。", "eml_label_zh": "Bayesian 參考（精確後驗／Beta-Bernoulli／聯合共同因／HMM）", "eml_primary_domain": "Model Representation", "eml_program_id": "PRG-2026-0001", "eml_data_basis": "SYNTHETIC", "eml_provider": "EveMissLab (PACC-Lab)", "eml_access_type": "source inside the PACC-Lab FINAL bundles", "eml_known_behavior_notes": [ "Reference, not a competitor; hazard and decay are not exhaustively tuned, so no superiority claim in either direction." ], "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/models/MOD-2026-0005/", "json": "/ai/models/MOD-2026-0005/index.json" } ], "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 } }