{
  "id": "EM-AI-02",
  "name": "Модель AI, артефакт и обучение",
  "domain": "AI",
  "kind": "subject",
  "wave": "W3",
  "scope": "Определение модели, версии артефактов, training/fine-tune run, конфигурация, compute и происхождение данных. Веса хранятся вне публичного каталога.",
  "candidate_types": [
    "AIModel",
    "ModelArtifact",
    "TrainingRun",
    "TrainingConfiguration",
    "ComputeAllocation"
  ],
  "specific_questions": [
    "Как различить архитектуру, checkpoint и deploy?",
    "Какие входы нужны воспроизводимости?",
    "Как отразить ограничения доступа и использования тренировочных данных?"
  ],
  "proposed_invariants": [
    "Training фиксирует версии входов",
    "Одинаковое имя не доказывает одинаковые веса",
    "Compute grant не Employment"
  ],
  "negative_case": "Новый endpoint считается новой обученной моделью.",
  "acceptance_scenario": "Два fine-tune от одного checkpoint, разные лицензии данных и один общий endpoint сохраняют происхождение и ограничения.",
  "comparison_tracks": [
    "NIST AI RMF: контекст, оценка и управление риском",
    "PROV/SPDX: происхождение данных, артефактов и действий",
    "Практика model registry/evaluation tooling; сопоставить system, artifact, run и endpoint"
  ],
  "vercy_candidates": [
    {
      "model_id": "WM-SFT-004",
      "mapping_status": "conceptual-candidate",
      "evidence_depth": "index-and-publication-metadata",
      "note": "Связь требует проверки полного семантического crosswalk; published не означает завершённую независимую экспертизу.",
      "runtime": {
        "id": "vr.wm-sft-004",
        "modelId": "WM-SFT-004",
        "name": "ML Model Artifact",
        "version": "0.3.0-research.1",
        "status": "published",
        "installable": true,
        "pageUrl": "https://ver.cy/models/wm-sft-004-ml-model-artifact/",
        "specUrl": "https://ver.cy/models/wm-sft-004-ml-model-artifact/spec.yaml",
        "agentsUrl": "https://ver.cy/models/wm-sft-004-ml-model-artifact/AGENTS.md",
        "digest": "sha256:a9f1da969294ac931fd2e2fc9432a19331f015369ca3e481e589c2f472277930",
        "requires": [],
        "unresolvedRequires": []
      }
    },
    {
      "model_id": "WM-AI-007",
      "mapping_status": "conceptual-candidate",
      "evidence_depth": "index-and-publication-metadata",
      "note": "Связь требует проверки полного семантического crosswalk; published не означает завершённую независимую экспертизу.",
      "runtime": {
        "id": "vr.wm-ai-007",
        "modelId": "WM-AI-007",
        "name": "AI Model Registry Entry",
        "version": "0.3.0-research.1",
        "status": "published",
        "installable": true,
        "pageUrl": "https://ver.cy/models/wm-ai-007-ai-model-registry-entry/",
        "specUrl": "https://ver.cy/models/wm-ai-007-ai-model-registry-entry/spec.yaml",
        "agentsUrl": "https://ver.cy/models/wm-ai-007-ai-model-registry-entry/AGENTS.md",
        "digest": "sha256:04f21ef746b2418aab2c9943492e61bf1baf461cac9878215dd9cb5bbd0a5cf4",
        "requires": [],
        "unresolvedRequires": []
      }
    },
    {
      "model_id": "WM-AI-006",
      "mapping_status": "conceptual-candidate",
      "evidence_depth": "index-and-publication-metadata",
      "note": "Связь требует проверки полного семантического crosswalk; published не означает завершённую независимую экспертизу.",
      "runtime": {
        "id": "vr.wm-ai-006",
        "modelId": "WM-AI-006",
        "name": "Model Training / Fine-tuning Run",
        "version": "0.3.0-research.1",
        "status": "published",
        "installable": true,
        "pageUrl": "https://ver.cy/models/wm-ai-006-model-training-fine-tuning-run/",
        "specUrl": "https://ver.cy/models/wm-ai-006-model-training-fine-tuning-run/spec.yaml",
        "agentsUrl": "https://ver.cy/models/wm-ai-006-model-training-fine-tuning-run/AGENTS.md",
        "digest": "sha256:6a148d741b66c28dc828efefca74b90d06ec554d1fa169344e436ce9c7279af2",
        "requires": [],
        "unresolvedRequires": []
      }
    }
  ],
  "candidate_properties_from_v1": [
    {
      "predecessor": "AI-02",
      "fields": [
        {
          "name": "model_family",
          "value_type": "text",
          "status": "candidate-not-normative"
        },
        {
          "name": "version",
          "value_type": "text",
          "status": "candidate-not-normative"
        },
        {
          "name": "artifact_digest",
          "value_type": "text",
          "status": "candidate-not-normative"
        },
        {
          "name": "license_ref",
          "value_type": "reference",
          "status": "candidate-not-normative"
        }
      ]
    },
    {
      "predecessor": "AI-05",
      "fields": [
        {
          "name": "run_key",
          "value_type": "text",
          "status": "candidate-not-normative"
        },
        {
          "name": "dataset_snapshot",
          "value_type": "reference",
          "status": "candidate-not-normative"
        },
        {
          "name": "hyperparameters",
          "value_type": "map",
          "status": "candidate-not-normative"
        },
        {
          "name": "compute_usage",
          "value_type": "quantity",
          "status": "candidate-not-normative"
        }
      ]
    }
  ],
  "suggested_owner": "Руководитель AI / исследований",
  "candidate_master_systems": "Model registry, experiment tracker, eval store",
  "related_research_contours": [
    "EM-AI-01",
    "EM-AI-03",
    "EM-DAT-01",
    "EM-FIN-05"
  ],
  "blocking_decisions": [
    "Установить границу и решение reuse/extend/new по действующим спецификациям.",
    "Подтвердить semantic crosswalk, права и source mastership.",
    "Выбрать immutable refs; провести проверки fixtures до заявления о публикационной готовности."
  ],
  "research_progress": {
    "sequence": 94,
    "id": "EM-AI-02",
    "status": "queued",
    "claude_status": "not-started",
    "grok_status": "not-started",
    "boundary_decision": "pending",
    "publication_urls": [],
    "remaining_scope": "Entire research brief pending",
    "target_model_ids": [
      "WM-SFT-004",
      "WM-AI-007",
      "WM-AI-006"
    ]
  },
  "brief_url": "https://ver.cy/enterprise/models/em-ai-02/"
}