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arXiv — cs.AI

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Agentic World Modeling for Agent Test-time Scaling without Environment Replica

arXiv:2610.40927v1 Announce Type: new Abstract: Test-time scaling (TTS) improves large language model agents by sampling and selecting among multiple candidate trajectories, but common realizations assume that these trajectories can be executed in parallel. This assumption…

arXiv — cs.AIBy: Wendi Li, Huseyin A. Inan, Wei-Ning Chen, Yanzhi Chen, Chetan Bansal, Saravan Rajmohan, Sharon LiNovember 2, 2026 (1 hour ago)
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  • arXiv:2610.40927v1 Announce Type: new Abstract: Test-time scaling (TTS) improves large language model agents by sampling and selecting among multiple candidate trajectories, but common realizations assume that these trajectories can be executed in parallel
  • This assumption…
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Agentic World Modeling for Agent Test-time Scaling without Environment Replica

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