{
  "paper": "RankMixer",
  "arxiv_id": "2507.15551",
  "dataset": "MovieLens 100K",
  "seed": 42,
  "configuration": {
    "tokens": 4,
    "dimensions": 64,
    "layers": 2,
    "experts": 4,
    "steps": 240
  },
  "results": {
    "shared_ffn": {
      "parameters": 181121,
      "hit_at_10": 0.00536480686695279,
      "ndcg_at_10": 0.001958749226026763,
      "head_share_at_10": 0.08884120171673819
    },
    "rankmixer_dense": {
      "parameters": 379649,
      "hit_at_10": 0.02467811158798283,
      "ndcg_at_10": 0.013630108813001187,
      "head_share_at_10": 0.6261802575107296
    },
    "rankmixer_smoe": {
      "parameters": 647457,
      "hit_at_10": 0.0075107296137339056,
      "ndcg_at_10": 0.002812978840180988,
      "head_share_at_10": 0.41706008583690984
    }
  },
  "sparse_vs_shared_ndcg_gain_percent": 43.61097392170985,
  "conclusion": "Per-token dense FFNs were strongest. Sparse MoE beat a shared FFN but did not preserve dense quality and increased head concentration.",
  "schema_version": 2,
  "manifest_ref": "reproduction:rankmixer",
  "evaluation_protocol": {
    "tier": "l3_paper_pipeline",
    "seeds": [
      42
    ],
    "formal_comparison": false,
    "claim_policy": "single/few-seed smoke result; do not claim a stable improvement"
  },
  "provenance": {
    "artifact_path": "docs/reproductions/2507.15551-rankmixer/metrics/movielens-100k-seed42.json",
    "historical_migration": "historical-metrics-v2-2026-08-09",
    "original_code_commit": "not recorded",
    "dataset_fingerprint": "not recorded in historical artifact"
  }
}