FINAL160_OPERATOR_SCOPE_AUDIT.json

{
  "current_input_semantics": {
    "FreshRetailNet-50K_corrected_column_count": 114,
    "FreshRetailNet-50K_old_feed_column_count": 17,
    "FreshRetailNet-LT_corrected_target_column_count": 114,
    "Kaggle_Web_Traffic_corrected_target_column_count": 1,
    "audited_unchanged_rows_may_be_retained": {
      "traqq_weekly_activity": 5,
      "us_stock_financial_ratios": 39
    },
    "changed_and_require_rerun": {
      "freshretailnet_50k": 114,
      "freshretailnet_lt": 114,
      "github_top_projects": 3,
      "kaggle_web_traffic": 1,
      "magseven_ml_ready_high_frequency_anomaly": 6,
      "trending_stocks_yahoo_finance": 8
    },
    "pending_input_acceptance_datasets": [
      "freshretailnet_lt",
      "kaggle_web_traffic"
    ]
  },
  "extra_historical_ids": [
    "jovian_lightning",
    "macroecon",
    "nasa_maven_kp_insitu",
    "weather_data_NC"
  ],
  "feed_dataset_count": 160,
  "feed_rows": 41090,
  "final160_dataset_count": 160,
  "final160_intersection_count": 156,
  "inputs_sha256": {
    "corrected_input_requirements": "391a5f081f0347925c5c1187fae2b4fe85c3ae88ec44f04a0fb0881efa42b7c7",
    "descriptive_inventory": "8268a73a536c70a2d8d01a8fca33d2a7c07e19d9f888ea92ef488c1801702c94",
    "final160_scope": "92a995e4278971077fe60dabd913e26e1afdccaeca1ec6181ae1de3f50929889",
    "format_audit": "2d3fb152f4f040a044a49fb23a0a34eb217ad0a54668f1fa0c65281d72064ba8",
    "operator_feed": "c6962b9e57a59b50a2e4fa0dc0db9789541a763ea46f4b0cfb7cafd3b88dd22d"
  },
  "minimum_replacement_campaign": {
    "breakdown": {
      "FreshRetailNet-50K_114_ready_results_pending": 1140,
      "already_accepted_corrected_three": 170,
      "missing_four": 580,
      "pending_input_acceptance_FreshRetailNet-LT_and_Kaggle": 1150
    },
    "column_keys": 304,
    "dispatch_gate": "FreshRetailNet-LT and Kaggle exact typed inputs must first receive independent FROZEN_READY acceptance",
    "do_not_reuse_stale_changed_rows": true,
    "exact_key_plan": "analysis_outputs/paper_final160_refresh_20261013_v2/OPERATOR_FINAL160_RERUN_KEYS.csv",
    "exact_key_plan_sha256": "f78efdd3be2df37bef865de705bafd2f78d32df6e9e062d731eb916ab7693405",
    "recipe_keys": 3040,
    "retain_existing_current_rows": true
  },
  "missing_final160_column_counts": {
    "METR-LA": 34,
    "PEMS-BAY": 10,
    "m2oe2_timeseries": 13,
    "medium_posts": 1
  },
  "missing_final160_ids": [
    "METR-LA",
    "PEMS-BAY",
    "m2oe2_timeseries",
    "medium_posts"
  ],
  "paper_conclusion": "The 41,090-row feed is historical evidence, not a valid final160/current-input Fig. 11 source; the exact repair is now 3,040 recipe keys, of which 1,150 remain blocked on two input acceptances.",
  "projected_exact_final160_union_rows": 35870,
  "recipe_count": 10,
  "recipe_ids": [
    "corad_tricklet_dictionary_pair_v1",
    "fpzip_range_pair_v1",
    "gorilla_trailing_pack_pair_v1",
    "project_arithmetic_bytes_v1",
    "project_huffman_bytes_v1",
    "project_rans_reference_v1",
    "rle_run_length_direct_v1",
    "snappy_token_format_pair_v1",
    "spdp_entropy_pair_v1",
    "stream_vbyte_integer_code_pair_v1"
  ],
  "runner_contract": [
    "Prepare canonical per-column manifests from the frozen final160/current-input sources before dispatch.",
    "Do not dispatch FreshRetailNet-LT or Kaggle keys from target-schema rows; wait for exact independently accepted typed inputs and bind their real manifests.",
    "Run the same ten diagnostic recipes with fresh encode/decode processes and round-trip/byte checks.",
    "The byte-effect path carries null timing fields; do not compare or pool timing across hosts.",
    "Preserve the historical 41,090-row feed and write a new attempt/union.",
    "The optimized WiDS runner may be reused only after binding exact recipe CLI/source/runtime/input SHAs and preserving its process/amortization contract."
  ],
  "schema": "paper-final160-operator-feed-audit-v2",
  "status": "BLOCKED_REQUIRES_TWO_INPUT_ACCEPTANCES_AND_EXACT_SCOPE_CURRENT_INPUT_RERUN"
}