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☞ TL,DR The following reports are all from the same hunter(0x7DC0a1dA4342B50Fb5af712f74AAD07f3d94dB7B), who used the following methods: 1. Determining the first and last transaction times on a daily basis, the number of transactions, and the number of protocols. 2. Similar cross-chain behavior. 3. Similarities in active chains. However, after a random inspection, it was found that these methods are highly inaccurate for the following reasons: 1. There is no interconnected behavior between the addresses (e.g., mutual transfers, funds distribution from the same address, etc.). 2. Judging on a daily basis is unreliable. 3. The transaction count in the report does not include statistics for Aptos. Some addresses have cross-chain behavior involving Aptos but were not counted, leading to data issues. 4. The number of protocols is even less reliable. Among the listed addresses, the interacted protocols are different, and relying solely on the number of protocols for judgment is very erroneous. 5. In the listed clusters, the behavior of the addresses is evidently different. Some addresses perform cross-chain transactions between EVMs, some perform NFT cross-chain transactions, and others perform cross-chain transactions to Aptos. 6. In the listed clusters, the active chains are distinctly different. Some cross from BNB to Aptos, some from Arbitrum to Optimism, and others from zkSync to the Ethereum mainnet. The active chains are clearly different. 7. Therefore, the following addresses do not meet the clustering standards. Please remove these clusters to ensure that legitimate users are not mistakenly affected. 1️⃣ Report: commonwealth.im/layerzero/disc… Cluster: cluster_14 🎯 Reasons: Their "from" and "to" addresses are different. For example, the address 0x6dfa04b4fafbd736125bfe920bb25104a68ce1ff moves from Arbitrum to Aptos, while the address 0x925b127a55ae1d304409fa7739392cbf488380a6 operates between different EVMs. Their transaction amounts are different. For example, the address 0x2b97ac180540fe01fb737438557685f0655cddc7 has a cross-chain amount of only $0.09, while the address 0x4b67649dbcf3420de83da8cb302b32a7a36af792 has a cross-chain amount of $50k. According to Dune (dune.com/springzhang/la…), the number of source chains and destination chains are different. For example, the address 0x9abcc37a627a673ea2f249001a759c98e6a79590 has 2 source chains and 4 destination chains, while the address 0xf05da5fc7d6a6e329ce4bc5b5c5bc2a6dcdce5a7 has 4 source chains and 3 destination chains. There is no financial interaction between any of the addresses in this cluster. In summary, these addresses do not belong to the same cluster. 2️⃣ Report: commonwealth.im/layerzero/disc… Cluster: cluster_3 🎯 Reasons : Their "from" and "to" addresses are different. For example, the address 0x3d4bd2a5202876e4cd30683e1730adf34acbb897 performs NFT cross-chain transactions from Polygon to other chains, while the address 0x6f608ef86ea51c102e4fa5805068771a37a28d97 operates between EVMs and also has activities on Aptos. Their transaction amounts are different. For example, the address 0xbffe429eb70c429d3b8fd3698b967c5be2c7cefc has a cross-chain amount of $19, while the address 0xa0b0b064c725648a1f72f2fe3f15fd71038915c3 has a cross-chain amount of $43k. According to Dune (dune.com/springzhang/la…), their number of source chains and destination chains are different. For example, the address 0x63086562811c28e373e6be458705402f5404c2e5 has 5 source chains and 5 destination chains, while the address 0x02f4589af6de0d3321a2313bd6a33c61e08c5dd7 has 3 source chains and 4 destination chains. There is no financial interaction between any of the addresses in this cluster. In summary, these addresses do not belong to the same cluster. 3️⃣ Report: Cluster: cluster_4 🎯 Reasons: Their "from" and "to" addresses are different. For example, the address 0xe86a1c96e59b34d3afa2d79ca38ed050b90fd448 moves from BNB to Aptos, while the address 0x73b76b9f7d173b6c8194b0c87efe019deddf1994 performs NFT and financial cross-chain transactions between EVMs. Their transaction amounts are different. For example, the address 0x2b97ac180540fe01fb737438557685f0655cddc7 has a cross-chain amount of $42k, while the address 0xe7054380122001f7445dfe3755b33d1755bfc14a has a cross-chain amount of $12.99k. According to Dune(dune.com/springzhang/la…), their number of source chains and destination chains are different. For example, the address 0xbcb3b18aad617fbc58289b16bd0abf0af1d5bf5f has 2 source chains and 2 destination chains, while the address 0x005d1f9c1192cbc2e502b77ba21acedc52b83bd6 has 2 source chains and 3 destination chains. There is no financial interaction between any of the addresses in this cluster. In summary, these addresses do not belong to the same cluster. 4️⃣ Report: commonwealth.im/layerzero/disc… Cluster: cluster_17 Reasons: Their "from" and "to" addresses are different. For example, the address 0x51208d00537ef5e29b4505d19f04aaf03fb5bcf4 has Aptos cross-chain activities and NFT cross-chain transactions, while the address 0xe8446bc94b2f603ed16616d279ef51305c2ff51e operates between EVMs and includes the use of protocols like Orderly Network and Maverick. Their transaction amounts are different. For example, the address 0x51208d00537ef5e29b4505d19f04aaf03fb5bcf4 has a cross-chain amount of $3.8k, while the address 0xaa13a4991eab866b130a259c8c4802d87b183f95 has a cross-chain amount of $58k. According to Dune (dune.com/springzhang/la…), their number of source chains and destination chains are different. For example, the address 0x53015f21c1bf68f7128304a63c43d1859d19e27b has 2 source chains and 3 destination chains, while the address 0xf05da5fc7d6a6e329ce4bc5b5c5bc2a6dcdce5a7 has 1 source chain and 1 destination chain. There is no financial interaction between any of the addresses in this cluster. In summary, these addresses do not belong to the same cluster.

Let's try this again. Provisional Sybil List #2 Haven't touched Chaos/Nansen clusters. Have heard feedback. Working with their teams on these, will be updating! lzprovisionalsybil.s3.amazonaws.com/provisionalSyb… +~47,000 -158,869 Will continue to grind through all feedback for the next 24 hours