feat: Add recent paper references to home-ai.html
- Reference Taonga-Centred Steering Governance paper in dual-layer section - Reference Steering Vectors and Mechanical Bias paper in bias section - Fix: navbar now dynamically loads research papers modal on all pages Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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<strong>Honest caveat:</strong> Layer A (inherent governance via training) is designed but not yet empirically validated — training has not begun. Layer B (active governance via Village codebase) has been operating in production for 11+ months. The dual-layer thesis is an architectural commitment, not yet a demonstrated result.
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<strong>Related research:</strong> The <a href="/docs-viewer.html?slug=taonga-centred-steering-governance-polycentric-authority-for-sovereign-small-language-models" class="text-blue-600 hover:underline">Taonga-Centred Steering Governance</a> paper (Feb 2026) extends this dual-layer architecture with polycentric authority — replacing platform hierarchy with co-equal steering authorities drawn from te ao Māori concepts of rangatiratanga and kaitiakitanga.
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<strong>Related research:</strong> The <a href="/docs-viewer.html?slug=steering-vectors-mechanical-bias-sovereign-ai" class="text-blue-600 hover:underline">Steering Vectors and Mechanical Bias</a> paper (Feb 2026) investigates whether LLM biases operate at a sub-reasoning level and how sovereign SLL deployments can apply inference-time debiasing via steering vectors — a technique that modifies model activations without retraining.
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