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This work tests whether large language models (LLMs) can help while remaining non-authoritative in a constrained mathematical search for high-order structure-preserving discretization and reconstructs four leading LLM-originated programs exactly.
Vision-language models (VLMs) are increasingly used as zero-shot controllers, but successful trajectories do not necessarily show that decisions are grounded in visual input: simulator dynamics and conservative action priors can produce favourable scores without meaningful perception. We investigate this with an input-...
A controlled, physics-grounded benchmark built around planning-induced control trajectories: the ordered planning operations and directives through which an execution architecture acts on other agents and the physical process is introduced.
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