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IGMBench

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RESEARCH · 1 SOURCE · arXiv cs.AI

arXiv paper defines 'world editing' and releases IGMWorld plus IGMBench for Minecraft and Terraria

The paper formalizes 'world editing'—making targeted interventions in executable worlds while preserving specified properties—and introduces intervention depth as a measure of how edits couple entities, dynamics, and systems. The authors release IGMWorld and IGMBench (110 tasks, >1.1K executable state and behavioral criteria across Minecraft and Terraria) and report that top coding-agent configurations solve 78.2% of tasks under a strict task-level criterion (94.8% at the criterion level), with reliability dropping as intervention depth increases and visual consistency remaining a major weakness (joint visual pass <50%).

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