AUREOLE-R-v3 / legacy /STATUS.json
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AUREOLE-R 3.0.0-hf.1: standalone public research release
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{
"version": "1.0.0",
"date": "2026-09-19",
"classification": "meaningful",
"overall_maturity_estimate_percent": 60,
"percentages_are": "Subjective author estimates of progress toward the specified research objective, not measured probabilities or validation rates",
"deliverable_coverage": {
"requested_output_categories": 33,
"covered_categories": 33,
"meaning": "Topic coverage; not completion of all proposed experiments"
},
"verified": {
"executed_experiment_families": 6,
"mathematical_checks_passed": 14,
"trained_neural_models": 0,
"gpu_rendering_benchmarks": 0,
"game_integrations": 0
},
"areas": [
{
"area": "mathematical_core",
"completeness_estimate_percent": 85,
"established": "Ten scoped propositions with proofs and numerical checks",
"remaining": "Nonlinear adaptive general guarantees"
},
{
"area": "latent_state_theory",
"completeness_estimate_percent": 70,
"established": "Predictive quotient and finite linear query closure",
"remaining": "Compact learnable general-scene state"
},
{
"area": "architecture",
"completeness_estimate_percent": 70,
"established": "Typed state, interfaces, updates, and decoder contracts",
"remaining": "Trained integrated system"
},
{
"area": "world_memory",
"completeness_estimate_percent": 70,
"established": "Canonical atlas and 500-frame diversion experiment",
"remaining": "Deformation, uncertain identity, streaming, GPU memory"
},
{
"area": "temporal_dynamics",
"completeness_estimate_percent": 50,
"established": "Hybrid causal model and scoped error bounds",
"remaining": "Practical FG and event robustness"
},
{
"area": "unified_tasks",
"completeness_estimate_percent": 65,
"established": "Shared risk and decoder definitions",
"remaining": "Full multi-task positive transfer"
},
{
"area": "physics_grounding",
"completeness_estimate_percent": 50,
"established": "Admissibility and restricted optical inner family",
"remaining": "General optical closure and nonlocal responses"
},
{
"area": "active_sampling",
"completeness_estimate_percent": 75,
"established": "Exact local value and known-model experiment",
"remaining": "Scalable causal closed-loop renderer queries"
},
{
"area": "real_time_feasibility",
"completeness_estimate_percent": 20,
"established": "Resource estimates and frame graph",
"remaining": "Measured GPU p99 deadlines and quality-cost frontier"
},
{
"area": "experimental_readiness",
"completeness_estimate_percent": 75,
"established": "Runnable witnesses and detailed falsification plan",
"remaining": "Renderer dataset and trained systems"
},
{
"area": "novelty_confidence",
"completeness_estimate_percent": 45,
"established": "Targeted primary-source audit and explicit distinction",
"remaining": "Exhaustive review and independent expert assessment"
}
]
}