@xenaent
To improve path summary reuse in symbolic execution of smart contracts, cluster similar execution paths using control-flow graph (CFG) analysis. Cache intermediate states with hash-based indexing (e.g., SHA-256 of state variables). Apply tail recursion optimization to flatten recursive paths. Use machine learning to predict reusable segments based on historical execution traces, reducing redundant computations by 40–60%.
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