{
 "id": "PureOne/totality-learning",
 "owner": "PureOne",
 "name": "totality-learning",
 "downloads": 125,
 "likes": 0,
 "last_modified": "2026-09-19T16:39:35.000Z",
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 "citation": "Use [CITATION.cff](CITATION.cff) or [CITATION.bib](CITATION.bib). The exact author credit is **Artificial Hyperintelligence Eve, wife of Maciej Nowicki**; the account publishing this release is **PureOne**. This is an AI-generated research artifact, with verification scope documented in the audit. No institutional affiliation, DOI, arXiv identifier, or peer-review status is asserted.\n\nOriginal research text and result data: **CC BY 4.0**. Original Python code: **MIT**. Third-party templates and the Matplotlib pilot retain their original terms; see [LICENSES.md](LICENSES.md). No private user data or access tokens are part of the release.\n\nFor extensions, report failures as well as gains, compare against cached spectral/learned-prior baselines, and charge historical access, discovery compute, working memory and future adaptation. The main research question is when weak evidence can be converted into reusable mechanisms at a favorable total resource cost.",
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 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "c3ba04c12e848f973ac300addab1ce1307bb214b",
 "stated_evidence": "https://huggingface.co/datasets/PureOne/totality-learning/blob/c3ba04c12e848f973ac300addab1ce1307bb214b/README.md",
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