A staged LLM pipeline synthesizes verifiable discrete-event world models from natural language specifications using the DEVS formalism for long-horizon consistency in LLM agents.
4* ‘-- seed ‘ ( int ) : The i n i t i a l i z a t i o n seed for the noise g en er at or of both sides ( the ‘x ‘ value in the LCG formula )
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Specification-Driven Generation and Evaluation of Discrete-Event World Models via the DEVS Formalism
A staged LLM pipeline synthesizes verifiable discrete-event world models from natural language specifications using the DEVS formalism for long-horizon consistency in LLM agents.