For SAT problems with 10 variables and 200 clauses, sometimes outputted UNSAT because it couldn't find any satisfying assignment, and it would take a lot more time to find one, which is logically sound. I don't consider this as bad reasoning as it is about performance. So I tried it with only 100 clauses and it successfully found valid assignments.
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The model must be autoregressive. It receives a token sequence as input and predicts the next token. Output digits are generated one at a time, with each new token fed back as input for predicting the next. The carry propagation must emerge from this autoregressive process — not from explicit state variables passed between steps in Python.，详情可参考雷电模拟器官方版本下载