{
  "id": "O0-CRP-024",
  "title": "Discriminability from Inside Under Alternative Observer Architectures (Track 2 Followup R1)",
  "record_class": "SIMULATION",
  "version": "1.0.0",
  "status": "PARTIAL_OBSERVER_DEPENDENCE_BORDERLINE_INVARIANCE",
  "date": "2026-07-28",
  "program": "CONTACT_AND_REVELATION",
  "category": "emergence",
  "preregistration_version": "1.0.0",
  "preregistration_frozen_before_execution": true,
  "evidence_type": "COMPUTATIONAL SIMULATION",
  "replication_status": "NOT_APPLICABLE",
  "physical_validation": "NONE",
  "source_proposition": "O/0 section IX: 'You are O.' User statement 2026-07-28: 'we are the creator and the creation at the same time. one means one.'",
  "parent_study": "O0-CRP-022",
  "related_records": ["O0-CRP-021", "O0-CRP-022", "O0-CRP-023"],
  "claim_status_banner": {
    "claim_status": "PARTIAL_OBSERVER_DEPENDENCE (mechanical) / SUBSTANTIVE_INVARIANCE_AMONG_SUFFICIENT_CAPACITY_ARCHITECTURES (interpretive)",
    "evidence_type": "COMPUTATIONAL SIMULATION",
    "physical_validation": "NONE",
    "independent_replication": "NONE"
  },
  "verdict": {
    "mechanical": "PARTIAL_OBSERVER_DEPENDENCE",
    "substantive": "5 of 5 sufficient-capacity architectures land at delta_star(0.7) = 0.20; only the 4-feature structural architecture is displaced to 0.50; ratio = 2.5 exactly, at the preregistered threshold",
    "ratio_max_min_delta_star": 2.5,
    "max_delta_star_070": 0.50,
    "min_delta_star_070": 0.20,
    "n_architectures_evaluated": 6,
    "n_gate_passed": 6,
    "realization_theorem_pass": true
  },
  "key_findings": {
    "sufficient_capacity_convergence": "5 architectures (full, marginal_only, temporal_only, relational_only, infotheoretic) plus the random_14 control all converge on delta_star(0.7) = 0.20 exactly",
    "capacity_outlier": "structural (n=4 features, VAR coefficient summary only) is the sole outlier at delta_star(0.7) = 0.50",
    "random_14_control": "random 14-feature subset lands at same delta_star = 0.20, showing capacity-not-semantics drives the invariance",
    "positive_controls_all_pass": "All 6 specific architectures + random_14 discriminate NOISE_CONTROL from IDENTITY at AUC = 1.000",
    "realization_theorem": "Bit-identical trajectories for all 3 sampled worlds (max abs diff = 0.00e+00)"
  },
  "supported": [
    "delta_star(0.7) is invariant across observer architectures with feature count >= 14 within the O0-CRP-022 feature battery.",
    "Low-capacity architectures (n=4) have substantially higher delta_star, approximately 2.5x the sufficient-capacity value.",
    "The invariance is driven by feature count, not feature semantics (random_14 lands at same delta_star).",
    "AUC-below-0.5 phenomenon on matched-dual condition documented in O0-CRP-022 persists across all architectures."
  ],
  "not_established": [
    "That real observers in physical reality use these feature batteries.",
    "That the O/0 identity claim is empirically supported or refuted (only characterizes what specific observers see in specific simulated universes).",
    "That delta_star = 0.20 generalizes to nonlinear or non-Gaussian universes (registered R3).",
    "That RandomForest is optimal (registered R1)."
  ],
  "sample": {
    "worlds": 30,
    "world_seed_range": [13000, 13029],
    "trials_per_class": 300,
    "delta_grid": [0.0, 0.05, 0.1, 0.2, 0.3, 0.5, 0.7, 1.0],
    "architectures": 6,
    "controls": ["random_14 (feature-count-matched)"],
    "total_discrimination_evaluations": 84
  },
  "adversarial_controls": [
    "Realization theorem verification (bit-identical)",
    "Positive control per architecture (NOISE_CONTROL AUC > 0.9)",
    "Null-null calibration per architecture (regenerated deterministically)",
    "Random-14 feature-count-matched control"
  ],
  "artifacts": {
    "preregistration": "preregistration.md",
    "scientific_record": "scientific_record.md",
    "runner": "src/run_study.py",
    "analyzer": "src/analyze.py",
    "summary": "results/summary.json",
    "raw": ["results/raw/feats_identity_null.npy"],
    "figures": [
      "figures/01_headline_delta_sweep_by_arch.png",
      "figures/02_delta_star_by_arch.png",
      "figures/03_matched_null_by_arch.png",
      "figures/04_delta_star_vs_feature_count.png"
    ]
  },
  "reproducibility": {
    "runtime_seconds": 134.8,
    "hardware_class": "modern laptop",
    "determinism": "full - fixed seeds, deterministic feature extraction, deterministic classifier random_state",
    "dependencies": ["python 3.10+", "numpy", "scipy", "sklearn"],
    "reuses": "O0-CRP-022 raw feature arrays"
  },
  "registered_followups": {
    "R1": "Repeat with logistic regression, MLP, linear SVM to test classifier-invariance",
    "R2": "Vary noise_scale to test SNR-dependence of delta_star",
    "R3": "Extend to nonlinear universes (add tanh nonlinearity to dynamics)",
    "R4": "Replicate on fresh worlds (seeds 15000-15029) with independent random-14 draws"
  },
  "revision_history": [
    {"version": "1.0.0", "date": "2026-07-28", "notes": "Initial scientific record after successful preregistered execution"}
  ]
}