[2603.20366] WebNavigator: Global Web Navigation via Interaction Graph Retrieval

Computer Science > Information Retrieval arXiv:2603.20366 (cs) [Submitted on 20 Mar 2026] Title:WebNavigator: Global Web Navigation via Interaction Graph Retrieval Authors:Xuanwang Zhang, Yuteng Han, Jinnan Qi, Mulong Xie, Zhen Wu, Xinyu Dai View a PDF of the paper titled WebNavigator: Global Web Navigation via Interaction Graph Retrieval, by Xuanwang Zhang and 5 other authors View PDF HTML (experimental) Abstract:Despite significant advances in autonomous web navigation, current methods remain far from human-level performance in complex web environments. We argue that this limitation stems from Topological Blindness, where agents are forced to explore via trial-and-error without access to the global topological structure of the environment. To overcome this limitation, we introduce WebNavigator, which reframes web navigation from probabilistic exploration into deterministic retrieval and pathfinding. WebNavigator constructs Interaction Graphs via zero-token cost heuristic exploration offline and implements a Retrieve-Reason-Teleport workflow for global navigation online. WebNavigator achieves state-of-the-art performance on WebArena and OnlineMind2Web. On WebArena multi-site tasks, WebNavigator achieves a 72.9\% success rate, more than doubling the performance of enterprise-level agents. This work reveals that Topological Blindness, rather than model reasoning capabilities alone, is an underestimated bottleneck in autonomous web navigation. Comments: Subjects: Information...