Adaptive State Pruning is a method used to manage blockchain data more efficiently. As blockchain networks grow, the amount of data stored can become unwieldy. This can slow down transactions and increase storage costs.The concept involves selectively removing parts of the blockchain state that are no longer necessary for its operation. Instead of keeping all historical data, Adaptive State Pruning focuses on retaining only what is essential for verifying new transactions and maintaining network integrity. This approach adapts to the needs of the network, continually assessing which data can be pruned without compromising performance or security. For example, older transaction states that are infrequently accessed might be removed, while more recent or commonly queried states are preserved.By doing so, Adaptive State Pruning helps to improve the efficiency of the network, reduces resource consumption, and enhances scalability. This is particularly important as more users and applications interact with the blockchain, ensuring that the system remains responsive and manageable.