{
  "checked_cross_split_pairs": [
    {
      "conflicting_targets_for_shared_inputs": 0,
      "left": "train",
      "right": "validation",
      "right_rows_seen_in_left": 0,
      "shared_exact_input_vectors": 0
    },
    {
      "conflicting_targets_for_shared_inputs": 0,
      "left": "train",
      "right": "test",
      "right_rows_seen_in_left": 0,
      "shared_exact_input_vectors": 0
    },
    {
      "conflicting_targets_for_shared_inputs": 0,
      "left": "train",
      "right": "stress",
      "right_rows_seen_in_left": 0,
      "shared_exact_input_vectors": 0
    },
    {
      "conflicting_targets_for_shared_inputs": 0,
      "left": "validation",
      "right": "test",
      "right_rows_seen_in_left": 0,
      "shared_exact_input_vectors": 0
    },
    {
      "conflicting_targets_for_shared_inputs": 0,
      "left": "test",
      "right": "stress",
      "right_rows_seen_in_left": 0,
      "shared_exact_input_vectors": 0
    }
  ],
  "conflicting_targets_for_identical_features_across_all_rows": 0,
  "evidence_form": "Summary of actual M4 diagnostic output, not an independent reproduction",
  "limits": [
    "Exact finite numerical input equality only; no near-duplicate/semantic or source-corpus contamination audit.",
    "Episode-disjoint synthetic data is not a fresh real-world benchmark.",
    "A later control-state support-analysis call was blocked by tool safety; it was not retried and no support-analysis result is claimed.",
    "No model fitting or changes occurred."
  ],
  "sources": {
    "stress": {
      "path": "research-v03/fresh-stress-rows.json",
      "repo": "csoai/meok-oowm-hybrid-lab",
      "revision": "e1c50a45a2248c2eee8bb2767262c31a5bb67bb8"
    },
    "train_validation_test": {
      "repo": "csoai/meok-process-world-transitions-v0",
      "revision": "4a522537c9eb1522a3aad1432e9626e72e3a2733"
    }
  },
  "status": "COMPLETED_EXACT_INPUT_AUDIT",
  "validation_stress_exact_overlap": "NOT_CHECKED_IN_COMPLETED_PAIRWISE_PASS",
  "within_split": [
    {
      "episodes": 200,
      "rows": 1600,
      "split": "train",
      "unique_feature_vectors": 1600
    },
    {
      "episodes": 50,
      "rows": 400,
      "split": "validation",
      "unique_feature_vectors": 400
    },
    {
      "episodes": 70,
      "rows": 560,
      "split": "test",
      "unique_feature_vectors": 560
    },
    {
      "episodes": 80,
      "rows": 640,
      "split": "stress",
      "unique_feature_vectors": 640
    }
  ]
}