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Pure Forward-Only Autograd-Free PINN engine driving single-clock FMA weight alignment under FNG V3. Precision-engineered as the core mathematical physics backbone to rectify high-order moment skewness inside distributed LLM attention rails.

  • Updated Jul 25, 2026
  • Python

0ns zero-copy, autograd-free hybrid guide layer (Pre-Transformer Packet Rectifier). Uses viscous Burgers' & Vorticity under FNG V3 to pre-rectify high-order skewness & stream clean tensor manifolds straight into LLM Attention.

  • Updated Jul 25, 2026
  • Python

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