This paper addresses the problem of informational entropy and computational overhead in Multi-modal World Models. I introduce the Field Indexing Model, a framework that replaces linear temporal stacking (Context Windows) with Phase-Shift Stabilization. By defining time as a differential gradient within a multi-layered Field, we can achieve high-fidelity long-context understanding with near-zero memory growth.
Glushkov et al. (Thu,) studied this question.