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EnterpriseWorldShift benchmark

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RESEARCH · 1 SOURCE · arXiv cs.AI

Continual Enterprise World Model Discovery (arXiv:2609.19551v1)

A new arXiv preprint (arXiv:2609.19551v1) studies continual enterprise world model discovery: an agent interacts with a live ServiceNow environment to discover, revise, extend and retire hidden business rules. The paper introduces the EnterpriseWorldShift benchmark (nine tables, 25 hidden rules, 600 evaluation actions, four world versions) and presents a Continual Discovery Agent (CDA) that builds a reusable world model and predicts hidden-rule effects up to 8.98 IoU points better than a per-query lookup baseline, answering from its model without querying the running system.

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