Initially, the group recognized over 2 million addresses as potential Sybils however later refined their standards to attenuate false identifications, ensuing in a extra exact classification.
The crypto News
The crypto News
Initially, the group recognized over 2 million addresses as potential Sybils however later refined their standards to attenuate false identifications, ensuing in a extra exact classification.
