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Tiered Continual Learning (v7): Hopfield Associative Retrieval with Conformal Memory Bounds

  • Zenodo (CERN European Organization for Nuclear Research)
  • European Organization for Nuclear Research
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Abstract

Paper v7 of The Ouroboros Thesis. Presents Sefirot Continual Learner (ten-tier EWC with graduated forgetting), Kabbalah-Tiered Memory (Core/Working/Episodic with Ebbinghaus decay), Hopfield-Amaru Associative Memory (modern Hopfield networks with exponential capacity), and Ouroboros Conformal Memory (circular buffer with conformal rescaling). Reference implementation in TypeScript. Part of the SZL Holdings governed AI platform.Part of the Ouroboros Thesis chain by Stephen P. Lutar Jr. (ORCID 0009-0001-0110-4173, SZL Holdings). Reference implementation: github.com/szl-holdings/ouroboros. Source repository: github.com/szl-holdings/ouroboros-thesis.

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DOI
10.5281/zenodo.20020844
OpenAlex
W7160190739
Document type
article
Language
EN
Source
Zenodo (CERN European Organization for Nuclear Research)
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