LayerZero identifies over 800,000 addresses in Sybil's self-reporting phase

Initially, THE team identified on two million addresses as potential sybils but later refined their criteria has minimize FAKE identifications, resulting In A more accurate ranking.

LayerZero identifies more than 800,000 addresses in Sybil's self-reporting phase News

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LayerZero Laboratories has officially announcement that THE Sybil self-declaration phase of It is solution has address Sybil activity, Or "airdrop agriculture," East finished.

According to has LayerZero, addresses that meet THE criteria will receive 15% of their anticipated token allocation, while THE remaining 85% will be redistributed has eligible users. Following THE goodbye, A total of 803 093 addresses were identified as potential Sybil addresses, which will not receive THE total token allowance.

Initially, THE team identified on two million addresses as potential sybils but later refined their criteria has minimize FAKE identifications, resulting In A more accurate ranking...

LayerZero identifies over 800,000 addresses in Sybil's self-reporting phase

Initially, THE team identified on two million addresses as potential sybils but later refined their criteria has minimize FAKE identifications, resulting In A more accurate ranking.

LayerZero identifies more than 800,000 addresses in Sybil's self-reporting phase News

Own This piece of crypto history

Collect This article as NFT Join We on social networks

LayerZero Laboratories has officially announcement that THE Sybil self-declaration phase of It is solution has address Sybil activity, Or "airdrop agriculture," East finished.

According to has LayerZero, addresses that meet THE criteria will receive 15% of their anticipated token allocation, while THE remaining 85% will be redistributed has eligible users. Following THE goodbye, A total of 803 093 addresses were identified as potential Sybil addresses, which will not receive THE total token allowance.

Initially, THE team identified on two million addresses as potential sybils but later refined their criteria has minimize FAKE identifications, resulting In A more accurate ranking...

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