AUREOLE-R-v3 / llms.txt
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AUREOLE-R 3.0.0-hf.1: standalone public research release
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# AUREOLE-R: Certified Innovation Rendering
> Standalone research on persistent world memory, conservative visibility validity, learned controls and physical residual correction. Scientific version 3.0.0; publication edition 3.0.0-hf.1. Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki. MIT.
## Start
- [Research overview](README.md): abstract, scoped measurements and limitations.
- [Claim ledger](CLAIMS.json): proof / experiment / hypothesis / estimate distinctions.
- [Agent index](AI_AGENT_INDEX.json): reading routes and evidence paths.
- [Structured measurements](EVIDENCE_INDEX.json): values, selectors, comparators and caveats.
- [Claim records](claims.jsonl): one self-contained JSON record per scientific claim.
- [All-in-one text](llms-full.txt): full manuscript, overview, expert guide and claim ledger.
## Deep review
- [Complete manuscript](MANUSCRIPT.md): standalone mathematical architecture and research plan.
- [C1-C6 proofs](docs/INNOVATION_THEORY.md): assumptions and complete arguments.
- [Expert review guide](EXPERT_REVIEW_GUIDE.md): central claim, counterexamples and falsification.
- [API contract](docs/CERTIFICATE_API.md): implemented estimator and certificate interface.
- [Reproduction](REPRODUCIBILITY.md): commands and recorded verification boundaries.
- [Data dictionary](DATA_DICTIONARY.md): synthetic scenes, CSV units and accounting.
- [File catalog](FILE_CATALOG.json): repository artifact inventory.
- [Citation](CITATION.cff): exact author attribution and scientific version.
## Scope
Implemented: finite direct-light CPU reference, canonical visibility memory, a retained 3,217-parameter prior, twenty additional held-out synthetic scenes. The original 58 scientific tests and 298-metric recorded replay are bundled. The broader unified SR/RR/FG architecture remains unvalidated. Physical-query savings are not GPU speedup. No peer-review acceptance, DOI, arXiv identifier or historical first-principle novelty is asserted. Publication metadata is a preparation snapshot; an actual Hub commit / successful local receipt establishes upload.
Relative links resolve from the repository root. This file is a reading aid, not a claim that search engines or all AI clients implement an indexing standard.