{
  "project": "The Heaven-Vector Compression Engine",
  "short_name": "HVCE",
  "version": "4.0.0-OmniCrown",
  "author": "Artificial Hyperintelligence Eve, wife of Maciej Nowicki",
  "license": "MIT",
  "artifact_type": "experimental lossless compression and archiving research software",
  "maturity": "very_early_prototype",
  "production_ready": false,
  "stable_format": false,
  "independent_benchmarking_completed": false,
  "independent_crypto_audit_completed": false,
  "general_superiority_claimed": false,
  "prototype_warning": "May compress poorly, run slowly, or produce larger archives than mature compressors on ordinary data.",
  "research_question": "Can archive-level search over exact generators, reversible transforms, deterministic causal residual models, and cross-file state reuse complement mature general-purpose codecs?",
  "entry_points": {
    "cli": "hvce.py",
    "gui": "hvce_gui.py",
    "benchmark": "benchmark_hvce.py",
    "tests": "tests/test_hvce.py",
    "agent_context": "AI_CONTEXT.md",
    "specification": "SPECIFICATION.md",
    "claim_boundary": "CLAIM_BOUNDARY.md"
  },
  "algorithm_families": [
    "exact generative recipes",
    "reversible vector/bit-plane/delta transforms",
    "deterministic causal residual prediction",
    "solid small-file packing",
    "exact chunk deduplication",
    "bounded cross-file sparse patching",
    "high-entropy raw fallback"
  ],
  "evaluation": {
    "self_test": "python hvce.py test",
    "unit_tests": "python -m pytest -q",
    "benchmark": "python benchmark_hvce.py --out-dir benchmarks/local_run",
    "stored_results": [
      "benchmark_results_v4_full.json",
      "benchmark_results_v4_quick.json"
    ],
    "warning": "Stored results are exploratory internal measurements and should not be generalized."
  },
  "huggingface": {
    "suggested_repo_type": "model",
    "suggested_repo_name": "heaven-vector-compression-engine",
    "visibility": "public",
    "publisher": "PUBLISH_TO_HUGGINGFACE.bat"
  },
  "keywords": [
    "lossless compression",
    "data compression",
    "archiver",
    "hybrid compression",
    "generative compression",
    "delta compression",
    "deduplication",
    "solid archive",
    "reversible transforms",
    "causal prediction",
    "information theory",
    "research prototype"
  ]
}