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Preprint Aug 2026

Differentiate the Solver, Not the Equation: Reverse-Sweep Adjoints for Block Implicit Simulation

Differentiable simulation is a key component in learning, control, and inverse problems, where gradients through nonlinear implicit solvers are required. Existing approaches either rely on unrolled automatic differentiation, whose memory grows with solver depth, or on equation-level implicit differentiation, which asse...

Lei Shu, Ying Jiang, Kui Wu et al. · 1 citation
#artificial intelligence Preprint Sep 2026

WorldAgent: Verification-Guided Agentic Physical World Construction

This work presents WorldAgent, an agentic framework for verification-guided physical world construction from a single natural-language prompt, without iterative user debugging, and introduces AgenticSimBench, on which WorldAgent achieves the best scores among the evaluated agent-based methods on five of seven metrics.

Caoliwen Wang, Meng-Di Wang, Yi-Ge Chen et al. · 0 citations

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