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Propose novel low-latency transformer architecture using coherence energy: Core Innovation: - Route tokens to compute lanes based on coherence energy, not confidence - Sparse attention using residual energy (skip coherent pairs) - Early exit when energy converges (not confidence threshold) - Restriction maps replace QKV projections Architecture: - Lane 0 (Reflex): 1-2 layers, local attention, <0.1ms - Lane 1 (Standard): 6 layers, sparse sheaf attention, ~1ms - Lane 2 (Deep): 12+ layers, full + MoE, ~5ms - Lane 3 (Escalate): Return uncertainty Performance Targets: - 5-10x latency reduction (10ms → 1-2ms for 128 tokens) - 2.5x memory reduction - <5% quality degradation - Provable coherence bound on output Mathematical Foundation: - Attention weight ∝ exp(-β × residual_energy) - Token routing via E(t) = Σ w_e ||ρ_t(x) - ρ_ctx(x)||² - Early exit when ΔE < ε (energy converged) Target: ruvector-attention crate with sheaf/ and coherence_gated/ modules Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| coherence-engine | ||
| ADR-001-ruvector-core-architecture.md | ||
| ADR-002-ruvllm-integration.md | ||
| ADR-003-simd-optimization-strategy.md | ||
| ADR-004-kv-cache-management.md | ||
| ADR-005-wasm-runtime-integration.md | ||
| ADR-006-memory-management.md | ||
| ADR-007-security-review-technical-debt.md | ||
| ADR-008-mistral-rs-integration.md | ||
| ADR-009-structured-output.md | ||
| ADR-010-function-calling.md | ||
| ADR-011-prefix-caching.md | ||
| ADR-012-security-remediation.md | ||
| ADR-013-huggingface-publishing.md | ||
| ADR-014-coherence-engine.md | ||
| ADR-015-coherence-gated-transformer.md | ||