Structural Analysis of Sparse Model Architectures: Hidden Gaps, Recurring Patterns, and Five Open Paradigm Candidates for Next-Generation LLMs

We present a structural analysis of sparse model architectures, identifying five gaps in the current paradigm, documenting recurring meta-patterns across major AI breakthroughs, and proposing five candidate architectures for the next paradigm shift. This version integrates discussion of Titans and UMoE as related work. This paper presents no experimental results; it presents a structural argument for where to look next.