LSH-Burn: Rust-based Spacetime Field Architecture Implementation

We present LSH-Burn, a Rust-based implementation of the LSH-SFA (Spacetime Field Attention) architecture using the Burn deep learning framework. LSH-Burn provides 1+N pluggable backend support for CUDA, Vulkan, AMD ROCm, WGPU, and ndarray backends. Key components include WavePacketProjector for token-to-wave-packet conversion, FieldAttention with Gaussian similarity, ResonanceCoupling for frequency resonance, FieldEvolution with PDE-driven dynamics, and WavePacketDecoder for generation. We achie