AUREOLE-R-v3 / history /v2 /STATUS.json
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AUREOLE-R 3.0.0-hf.1: standalone public research release
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{
"version": "2.0.0",
"date": "2026-09-19",
"classification": "meaningful",
"overall_maturity_estimate_percent": 65,
"percentages_are": "Subjective estimates of progress toward the requested unified real-time research objective, not measured scientific completion probabilities",
"public_release_state": "prepared, not externally published",
"release_acceptance": "See results/release_validation.json and document/distribution verification; scoped checklist only",
"verified": {
"new_contract_tests": 28,
"retained_foundational_tests": 14,
"trained_neural_priors": 1,
"trained_unified_renderers": 0,
"physical_test_scenes": 16,
"online_shadow_rays": 8110080,
"physical_frame_method_records": 12672,
"gpu_benchmarks": 0,
"game_integrations": 0,
"full_sr_rr_fg_experiments": 0
},
"areas": [
{
"area": "mathematical_core",
"completeness_estimate_percent": 90,
"established": "Fifteen scoped results; exact physical correction, residual-risk metric, estimator quotient, detection and concentration bounds",
"remaining": "General nonlinear adaptive guarantees and practical risk calibration"
},
{
"area": "latent_state_theory",
"completeness_estimate_percent": 75,
"established": "Predictive/query closure plus exact fixed-proposal estimator equivalence",
"remaining": "Compact learnable state for general rendering and changing query families"
},
{
"area": "architecture",
"completeness_estimate_percent": 80,
"established": "Working CPU correction, memory, trained prior, query and revision loop",
"remaining": "Integrated multi-task neural architecture and efficient GPU realization"
},
{
"area": "world_memory",
"completeness_estimate_percent": 80,
"established": "Implemented canonical evidence, checkpoint validation, long clock gaps, contradiction handling",
"remaining": "Deformation, streaming, uncertain identity, local dependency graphs"
},
{
"area": "temporal_dynamics",
"completeness_estimate_percent": 50,
"established": "Causal hybrid specification and bounded local results",
"remaining": "Learned arbitrary-time rendering, event handling and FG validation"
},
{
"area": "unified_tasks",
"completeness_estimate_percent": 65,
"established": "Explicit common belief and task-dependent risk contracts",
"remaining": "Actual positive transfer across SR/RR/FG and neural appearance"
},
{
"area": "physics_grounding",
"completeness_estimate_percent": 60,
"established": "Physical direct-light oracle, exact finite sums and scoped unbiased correction",
"remaining": "Indirect transport, specular/transmissive response, optical closure"
},
{
"area": "active_sampling",
"completeness_estimate_percent": 85,
"established": "Implemented finite physical loop and tested trust revocation; exact local-model value",
"remaining": "Robust long-horizon policy at fixed GPU deadlines"
},
{
"area": "real_time_feasibility",
"completeness_estimate_percent": 20,
"established": "Tiny CPU timing and memory measurements plus design budgets",
"remaining": "GPU kernels, end-to-end latency and matched-time quality"
},
{
"area": "experimental_readiness",
"completeness_estimate_percent": 90,
"established": "Trained weights, sixteen held-out physical scenes, raw data, runnable release",
"remaining": "Strong production baselines, multi-engine studies and independent replication"
},
{
"area": "novelty_confidence",
"completeness_estimate_percent": 40,
"established": "Targeted primary-source comparison; inherited results explicitly attributed",
"remaining": "Independent review and evidence that the full synthesis exceeds known components"
}
],
"production_gates_open": 8,
"scope": "Executable finite-light CPU research reference, not production DLSS-like software",
"scoped_release_checks": {
"passed": 12,
"total": 12,
"interpretation": "Acceptance of the declared CPU reference only; not 100 percent of the broader research objective"
},
"manuscript_pages": 43
}