{
  "paper": {
    "title": "GAS: Generation as Auxiliary Supervision"
  },
  "dataset": {
    "name": "fashion-mnist-qa",
    "train_examples": 2000,
    "test_examples": 1000
  },
  "baseline": {
    "name": "understanding-only matched trunk",
    "test_accuracy": 0.6110000014305115,
    "shuffled_image_accuracy": 0.10199999809265137,
    "blank_image_accuracy": 0.10000000149011612,
    "visual_dependency_delta": 0.5090000033378601,
    "deployed_parameters": 105226,
    "training_only_parameters": 0
  },
  "method": {
    "name": "GAS MoT + NEP",
    "test_accuracy": 0.6349999904632568,
    "shuffled_image_accuracy": 0.10599999874830246,
    "blank_image_accuracy": 0.10000000149011612,
    "visual_dependency_delta": 0.5289999917149544,
    "deployed_parameters": 105226,
    "training_only_parameters": 84096,
    "final_generation_loss": 0.23592169284820558
  },
  "relative": {
    "test_accuracy_points": 2.399998903274536,
    "deployed_parameter_overhead_percent": 0.0
  },
  "stages": {
    "matched_steps": 120,
    "matched_seed": 42,
    "ema_decay": 0.999,
    "generation_branch_discarded_at_inference": true,
    "real_pixels": true
  },
  "paper_results": {
    "from_scratch_overall_baseline": 47.25,
    "from_scratch_overall_gas": 48.25,
    "inference_overhead_percent": 0.0,
    "training_gpu_hours_overhead_percent": 11.6
  },
  "schema_version": 2,
  "manifest": {
    "adapter_key": "gas",
    "arxiv_id": "2608.12209",
    "organization": "ByteDance",
    "published": "2026-08-12",
    "fidelity": "core_mechanism",
    "evaluation_tier": "l2_public_dataset"
  },
  "evaluation_protocol": {
    "tier": "l2_public_dataset",
    "seeds": [
      42
    ],
    "formal_comparison": false,
    "claim_policy": "single-seed smoke result; do not claim a stable improvement"
  },
  "manifest_ref": "reproduction:gas",
  "provenance": {
    "artifact_path": "docs/reproductions/2608.12209-gas/metrics/fashion-mnist-qa-seed42.json",
    "dataset_fingerprint": "torchvision-fashion-mnist:train[0:2000]:test[0:1000]"
  }
}
