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set weights for SN128 across 44 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set weights for SN50 across 233 neurons."},{"block_number":7872268,"extrinsic_index":23,"extrinsic_hash":"0xcbedd854826efcd4f7a20a1c33f6843f6743eb977b17a45bf8d31dda1f226790","signer":"5E2LP6EnZ54m3wS8s1yPvD5c3xo71kQroBw7aUVK32TKeZ5u","call_module":"SubtensorModule","call_function":"set_mechanism_weights","call_args":[{"name":"netuid","type":"u16","value":44},{"name":"mecid","type":"u8","value":1},{"name":"dests","type":"Vec","value":[6,42,57,235]},{"name":"weights","type":"Vec","value":[65535,3641,728,2913]},{"name":"version_key","type":"u64","value":2027}],"success":true,"fee_tao":0,"tip_tao":0,"observed_at":"2026-04-01T09:56:24.000Z","summary":"5E2LP6…TKeZ5u set weights for SN44 across 4 neurons."},{"block_number":7872268,"extrinsic_index":22,"extrinsic_hash":"0xec510f5cf3857aea1494c6d2e66c1d91874c53599d485b1deccf41ff4edafee5","signer":"5ERnMXUuMvgnk7ntHmFGa9E7Uj35ZVuhHzNbntnMFCXaceji","call_module":"Commitments","call_function":"set_commitment","call_args":[{"name":"netuid","type":"u16","value":61},{"name":"info","type":"CommitmentInfo<_>","value":{"fields":[{"Raw100":"https://pub-9c27a8b784894562b5ad6e27e00c2014.r2.dev/5EhagxKzxPBi1Ayf6txDJtTRg9dYYWoaXBtCbhYhn3kBMKGp"}]}}],"success":false,"fee_tao":0,"tip_tao":0,"observed_at":"2026-04-01T09:56:24.000Z","summary":"5ERnMX…Xaceji published a commitment for 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committed time-locked weights for SN47, revealing at round 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SN88."},{"block_number":7872268,"extrinsic_index":18,"extrinsic_hash":"0x571e4c17b17619fa8df49fc4f6fe31873d17da08a8735000f5580136ea25e354","signer":"5ELbr5tiJLZu23odyD3UrrzZNkt35YjvinwX8ERFK2JvE6je","call_module":"MevShield","call_function":"submit_encrypted","call_args":[{"name":"ciphertext","type":"BoundedVec","value":"0x0626cc4cad3de72ed3baa703e8f640f04004e970b891003b4f75d191394267bd6d9752ebbb7301e986662080d068a363bcd7babdf38e4d4d0b633545853b6700d7bbd6f90e405e600b58dae3c4ffc945933060b2ec47ddbf0e003cc07d472abccff0dd0166ab529749a18296a8df5b523b88b7b3d3df32a18460f0d888403f683b9b65e59dee5dd1c54ff007245f1e96bc1a8f67768c08ef8be71baaf1e6b8db524d2a4530974e36349b34fb75a3c75cc64b6b55b26a0a8fe6fa8e043047e1d4a1acf58ba8d5661c0821bca18a477ac0a7217406f40c92b9a0aab0696f099b2bc52101852298d9518e9ad9451f6034fbd3cad2676e3f91ed13cf60c453f0529d9c4ad4cf1fbde1ee6ad11ba2abc6b81ac267f9504c8c86ec22beebf334f76d619e6ec8ef7ae88caa9bd29a610a50288927fb9e740da6f98ec2d3df404a4f7dafd02a2914b6ef5942f454096168294dedabb7f2a0c1323c139056cf53ba6e9bd0ba6f2ba30b0de83344ff9693b26eecc5e637a85756a6c3db630bd1eaf868b1222a4fb905942f3cc519f06d1cae158f283e6c886c6a58715dcf4c2af8ec4178efbb352acaabb806c322c6b558223057e0c799ee6fd32badbbaea2c424feaa25d4d93637be2d1c37b7edaa29925fb8543520957451b9bd0de4e179a49e0afc4145fa278f697b7dfee0423befc2be6b76199407c96e3353747b8715b558fcc367696784cdef4a3a259d2675722d93e0c1c5fd1a55bcb4da18cf567f52c226c2b0cd3a3aa9ecb8409f07cef70d88cd49cd10f5aa170e7053e6b8bd5d769f886a2e20eab51cb677b9811471777abe307fdd7a1620f8df048b04c681acf0e4ecd991160d2863adc7e7da6902e3be92f0bd5c0805d4c3240b0a88f244af19ed966aed1ff829e3e046d43bc35ce65c1ea02a0f77f7f8c4b3c96ff40f600c4841f78547dd15cb004b56070de2c50e999fd4962e76931369809dfba1ae1f9fa9e68fffac2dacbfbee68fa39f633114deb5647780ebc55b5e76f93bdc00eccaf16051a62ec57b5bf41ac3664e315fbeeb71c2eabcb4affcaf0d3403b9b1a539af2cdd7f77a563d6d36670b9418b55249b10068142daa62cd92752946acaae733570e11f865c1509fbd16f1fb9e7a21ccf0487680a642477558512c7f5adde93884ac6a8c732939afd11b0dc3971c82598584b6fa6e3cb5136f9e27de353bef5a0662d58d647072b7a11c9e8d05415da979975963b79b56068a180ba5f36225a86d580cb07c63e55dc7a3cb648ee297e8583c13d8615ac070ce78555760385adeed742553de8af6a938b82a79caa348c8a1288973c55536011656cde61fcad2a6a4f1833603d6bff4c8a950d65257ce9f5d0509e4735382e9a0b89cd7b2b501dbcf62775ad0d296e4209724c78a66f0d036022b7041fa40cd612c0c6754419124dde0c07f4a6935632346fe92fb93333d57dc85cd2a2fdaa2d558fded8488946b46568185227915b70dfa3a22167fd54f43c6fae9b2335bece290d36adf83dcf369bd0b0c5a55f48f91807dfee962cafe29fa9cb781968978bed6d7c3948d323928672efded62fc01a9eaef4a6b79df63145bacb4d625e68b0c23a5a1b5a228d19de3149bd0fb4a2fd9776aeb307c29ae99a133fd3ae9fabb987807071630669ba5e5dcef9bc42763bcbc82013c9702eaaf8ab9308568b09f29e45ba5b6c214c3fa3a98eaed403a61221f1f437b5a6d2cd8a4cea853cc723e99fce3365511b72e805fe64c6ef745e6d56ad223e8ef4ec5daf424882622b97529b876268aca3c9061679afa333134ca5ceeabd8f4de4d0447adeef6b8a7b1566"}],"success":true,"fee_tao":0.00015924,"tip_tao":0,"observed_at":"2026-04-01T09:56:24.000Z","summary":"5ELbr5…JvE6je submitted an encrypted MEV-shield 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an EVM 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