{
  "paper": {
    "arxiv_id": "2512.14503",
    "title": "RecGPT-V2 Technical Report",
    "url": "https://arxiv.org/abs/2512.14503"
  },
  "dataset": {
    "name": "MovieLens-1M",
    "users": 420,
    "items": 640,
    "full_catalog_evaluation": true
  },
  "setup": {
    "seed": 42,
    "mechanism": "hierarchical_agents"
  },
  "baseline": {
    "name": "RecGPT-V1 single-route interest representation",
    "hit_at_10": 0.14047619047619048,
    "ndcg_at_10": 0.07513562832974019,
    "mrr_at_10": 0.05541099773242629,
    "head_share_at_10": 0.21761904761904763
  },
  "method": {
    "name": "RecGPT-V2 hierarchical agents + meta-prompt + constrained preference RL",
    "hit_at_10": 0.14761904761904762,
    "ndcg_at_10": 0.08905066108112314,
    "mrr_at_10": 0.07097978080120934,
    "head_share_at_10": 0.18166666666666667
  },
  "relative": {
    "hit_at_10_percent": 5.084745762711866,
    "ndcg_at_10_percent": 18.519886052347154,
    "mrr_at_10_percent": 28.096918853479266,
    "head_share_at_10_percent": -16.52078774617068
  },
  "diagnostics": {
    "meta_router_weights": [
      0.4211,
      0.2455,
      0.2334,
      0.1
    ],
    "constrained_policy_kl": 0.11966808908178542,
    "validation_blend_weight": 0.75,
    "validation_ndcg_candidates": [
      0.060004,
      0.058384,
      0.06366,
      0.061186
    ]
  },
  "paper_results": {
    "ctr_percent": 2.98,
    "ipv_percent": 3.71,
    "tv_percent": 2.19,
    "ner_percent": 11.46
  },
  "scope": "用可训练的短期、长期、类目 agent 构造层级意图，执行 meta-router、压缩混合表示和带 KL 约束的验证集偏好更新；未调用淘宝私有 LLM、Agent-as-Judge 标注与线上系统。",
  "schema_version": 2,
  "manifest_ref": "reproduction:recgpt-v2",
  "evaluation_protocol": {
    "tier": "l2_public_dataset",
    "seeds": [
      42
    ],
    "formal_comparison": false,
    "claim_policy": "single/few-seed smoke result; do not claim a stable improvement"
  },
  "provenance": {
    "artifact_path": "docs/reproductions/2512.14503-recgpt-v2/metrics/movielens-1m-seed42.json",
    "historical_migration": "historical-metrics-v2-2026-08-09",
    "original_code_commit": "not recorded",
    "dataset_fingerprint": "not recorded in historical artifact"
  }
}