ResearchResearch paperLarge Language Models · Efficiency & Inference2 sources · Oct 13, 2026

Jeva: System One Models from First Principles

We introduce Jeva, a decision-native architecture that addresses these requirements jointly.

Key points

  • System one models enable direct, low-latency decision-making.
  • Yet recent practice of predicting an answer from serialized text does not, by itself, respect the structure of a decision problem.
  • We argue that current designs underemphasize four important structural requirements. (i) null-aware: Models should distinguish answer absence from uncertainty among candidates; (ii) permutation-invariant: Reordering alternatives should not change the decision; (iii) option-scalable: Growing candidate sets should not require redefining the output space; (iv) cacheable: Request-independent computation over recurring alternatives should be reusable across requests.
  • A shared encoder independently represents the request and each option, while a compact decision stack refines only the request state against immutable option memory.

Sources (2)

Extractive summary: sentences quoted from the sources.

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