COINjecture/mu-net

μ-Net — Eigenverse-Grounded Neural Network

8-layer network with μ^k phase-modulated activations, trained on coherence data.

Architecture

• Layers: 8 (μ⁸ = 1, orbit closure)
• Hidden dim: 64
• Activation: MuActivation (135° phase rotation per layer)
• Loss: MSE + coherence regularization
• Parameters: ~34,954

Results

• R²: 0.9920
• MAE: 0.005367
• Best val loss: 0.000200
• Model coherence: 0.8909

Source

• Eigenverse — 552 Lean theorems, 0 sorry
• COINjecture