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TRISKELION-1: Unified Descriptive-Predictive-Generative AI

arXiv 2511.00711 ↗First posted 1 Nov 2025cs.LG cs.AIcited by 0

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Abstract (arXiv)

TRISKELION-1 is a unified descriptive-predictive-generative architecture that integrates statistical, mechanistic, and generative reasoning within a single encoder-decoder framework. The model demonstrates how descriptive representation learning, predictive inference, and generative synthesis can be jointly optimized using variational objectives. Experiments on MNIST validate that descriptive reconstruction, predictive classification, and generative sampling can coexist stably within one model. The framework provides a blueprint toward universal intelligence architectures that connect interpretability, accuracy, and creativity.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 34 references that are in the map. First posted on arXiv 1 Nov 2025.

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References · 11

  1. 2017Attention Is All You Needcited by 60,361
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  3. 2020Language Models are Few-Shot Learnerscited by 32,419
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  10. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
  11. 2022Improving alignment of dialogue agents via targeted human judgementscited by 531

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