# HexMemory

The work introduces Honeycomb, a video world model built on HexMemory, a low-rank representation that stores scene features in a fixed-size memory of three spatial plus three spatiotemporal planes; a feed-forward writer maps each generated chunk into new plane features, warps the previous planes while preserving their dimensions, and fuses them via confidence-weighted pooling plus a learned residual correction, while a reader retrieves latents to condition subsequent generation; on WorldScore and RealEstate10K it reports stronger generation quality and revisit consistency with feature storage held constant throughout generation.

The work introduces Honeycomb, a video world model built on HexMemory, a low-rank representation that stores scene features in a fixed-size memory of three spatial plus three spatiotemporal planes; a feed-forward writer maps each generated chunk into new plane features, warps the previous planes while preserving their dimensions, and fuses them via confidence-weighted pooling plus a learned residual correction, while a reader retrieves latents to condition subsequent generation; on WorldScore and RealEstate10K it reports stronger generation quality and revisit consistency with feature storage held constant throughout generation.