# JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces

**Published:** October 2, 2026
**Author:** Haoyang Su, Weiran Huang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/jevspawn-adaptive-agentic-inference-through-compositional-action-spaces

LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive. Jev-style models offer fast probabilistic predictions over finite fields, but require those fields to be specified in advance. This requirement…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.00437)

**Tags:** #arXiv

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