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Preprint Sep 2026

Self-Evolving Coding Agents: From Digital Programs to Physical-World Intelligence

Vision-language-action (VLA) and world-action (WAM) models map observations and instructions directly to robot actions. This directness ties a policy to training: minor layout or viewpoint changes cause failure, and instructions generalize poorly. The root cause lies in representation: task requirements, conditions, pr...

Hong-Cheng Gao, Jing-Jing Zhou, Ze Zheng et al. · 0 citations
#artificial intelligence Preprint Sep 2026

State-Grounded Conditioning: Wrapping User-Facing LLM Agents Where Direction Depends on Live State

We introduce State-Grounded Conditioning (SGC), a design principle for user-facing LLM agents that must condition on live user state (game state, session history, live inventory), and a distinct failure class we call direction drift: task-complete responses whose chosen direction misaligns with the current state. SGC e...

Qi Liu, Xiao-Yang Yuan, Yu-Bin Ruan et al. · 0 citations

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