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Geometric Manifold Walking: Stable High-Accuracy Multi-Encoder Fusion Without Backbone Training
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Geometric Manifold Walking: Stable High-Accuracy Multi-Encoder Fusion Without Backbone Training
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geofractal getting started guide available, bulk ablation for fusion, simple towers, oscillator capacity, and substructure systemic associative capacity.
Many formulas were tested, 92 tests for collectives, oscillation bulk experiments, and more. All of them either coalesce into the correct behavior or the failures are directly visible, which means the system is robust enough to declare some tools functionally valid but not scalable yet.
ai-crash course available;
https://github.com/AbstractEyes/geofractal/blob/main/ai_helpers/v101_claude_helpers.txt
Feed GPT, Claude, or Grokk and they will assist.
getting started guide;
https://github.com/AbstractEyes/geofractal/blob/main/src/geofractal/router/GETTING_STARTED.md
geofractal router architecture is in prototype phases;
https://github.com/AbstractEyes/geofractal
This is likely one of it's final growing phases before full production capacity is ramped up. The architecture is not for the novice, it's meant for experts to either get ideas, borrow code, utilize library capacity, or simply tell AI what to do. MOST files in current production have good descriptions for AI integration.
Transfer learning notebook available here;
https://github.com/AbstractEyes/geofractal/blob/main/src/geofractal/router/Router_Transfer_Learning-12_19_25.ipynb
Stress test and multiple diagnostics available here;
https://github.com/AbstractEyes/geofractal/blob/main/src/geofractal/router/components/diagnostics/
WideRouter compilation capacity available;
https://github.com/AbstractEyes/geofractal/blob/main/src/geofractal/router/wide_router.py
The wide router compiler organizes similar towers into stacked staged combinations before compiling with torch.compile. This is experimental, but has shown increased speed with multiple structures of wide models and will serve it's purpose in the future.
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