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Jeva: System One Models from First Principles

206 upvotes · 13 OCT 2026 · Qi Li, Xinchao Wang

This paper introduces Jeva, a decision-native architecture that improves the performance of system one models by addressing four structural requirements: distinguishing answer absence from uncertainty, being permutation-invariant, scaling with option sets, and allowing cacheable computation. Practitioners caring about decision-making in AI systems might care about Jeva's approach to handling decision problems.

decision-native modelssystem one modelspermutation-invariantnull-awarescalablecacheable