ADu2021/cosinegate-dynamic-routing
skills/skillxiv-v0.0.2-claude-opus-4.6/cosinegate-dynamic-routing/SKILL.md
Achieve efficient neural networks via self-supervised dynamic routing using Cosine Incompatibility Ratio (CIR). Ground gating decisions in geometric novelty rather than learned heuristics, enable per-sample/per-block binary routing via Gumbel-softmax, constrain with progressive FLOPs regularization—maintaining accuracy while reducing computation 28.5% on CIFAR-10.
$ install --global
skillsauthnpx skillsauth add ADu2021/skillXiv cosinegate-dynamic-routingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- cosinegate-dynamic-routing
- title:
- CosineGate: Semantic Dynamic Routing via Cosine Incompatibility
- version:
- 0.0.2
- engine:
- skillxiv-v0.0.2-claude-opus-4.6
- license:
- MIT
- url:
- https://arxiv.org/abs/2512.22206
- keywords:
- [dynamic-routing, efficient-inference, residual-networks, gating]
- description:
- Achieve efficient neural networks via self-supervised dynamic routing using Cosine Incompatibility Ratio (CIR). Ground gating decisions in geometric novelty rather than learned heuristics, enable per-sample/per-block binary routing via Gumbel-softmax, constrain with progressive FLOPs regularization—maintaining accuracy while reducing computation 28.5% on CIFAR-10.
Overview
Dynamic routing based on semantic novelty between identity and residual paths.
Core Technique
Cosine Incompatibility Ratio:
# CIR = 1 - cos(x, F(x))
# Low CIR: identity sufficient (skip block)
# High CIR: block adds novelty (execute)
cir_score = 1.0 - cosine_similarity(input_x, residual_output)
should_skip = cir_score < threshold
Differentiable Gating: Gumbel-softmax for training, deterministic for inference.
Performance
- 91.3% accuracy with 28.5% FLOPs saving
- No auxiliary supervision needed
References
- Cosine incompatibility ratio for routing
- Geometric grounding of gate decisions
- FLOPs-constrained gating
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