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Inputs (4)
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.329835898 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent in transaction:
Settlement height:
Value:
0.327835898 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.13 KB
Received time: 10/21/2025 11:22:51 AM
Included in blocks: 1,638,840
Confirmations: 119,596
Total coins transferred: 0.335835898 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000916 ERG
Raw Transaction Data
{
  "id": "d1a6d76e057a9319b92b3fa10dae107e151f5ed9cd184bcd8a660bbbdf6dc292",
  "blockId": "eb984197cc6ab9fd9f7e31695d7a8ea3fc3e131cfe64708e16f83ce59c8601fc",
  "inclusionHeight": 1638840,
  "timestamp": 1761045771530,
  "index": 5,
  "globalIndex": 9661686,
  "numConfirmations": 119596,
  "inputs": [
    {
      "boxId": "dec8391e7eac5d6092c38ec61e69397b4be5d8b7d748c2285c80a1beb432455e",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "b1ba6c595f5a78f4e606e30a2301921fa5f97c53e0bd24beb0383e951b72f104",
      "outputTransactionId": "7dec255d336f4c146ee1ff6dfc2982f62f07f6483eefdaf8f13d11f3bb705a37",
      "outputIndex": 0,
      "outputGlobalIndex": 50671269,
      "outputCreatedAt": 1628039,
      "outputSettledAt": 1628041,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
          "index": 0,
          "amount": 6000,
          "name": "RosenErgoRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      }
    },
    {
      "boxId": "416bf2d91c40f72c4e003eb4ba779e081a931aa2893d6949e7b6813ee5552c18",
      "value": 329835898,
      "index": 1,
      "spendingProof": "8ae08000322c801079959c8fe014577072756e459112a4bcb06319a461b793c3022e38209eb3c1e381ea838f227c6fce2986be872e6204b6",
      "outputBlockId": "b1ba6c595f5a78f4e606e30a2301921fa5f97c53e0bd24beb0383e951b72f104",
      "outputTransactionId": "7dec255d336f4c146ee1ff6dfc2982f62f07f6483eefdaf8f13d11f3bb705a37",
      "outputIndex": 2,
      "outputGlobalIndex": 50671271,
      "outputCreatedAt": 1628039,
      "outputSettledAt": 1628041,
      "ergoTree": "0008cd0266650387f6ae112351f302241f51ea97c025f0a9efcc197f31fd225740fa4fdc",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(666503,ebf21e,...)))}",
      "address": "9fJA3hHRYKusg5eLShd6bt2zsjD79eNtK8ALS3PVVF3TQuwgg4R",
      "assets": [
        {
          "tokenId": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115",
          "index": 0,
          "amount": 3,
          "name": "WID-93115-Quwgg4R",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "53e11774dadcca8c2e0859da0557a5648b73b8d01db2e8434f28a1595c0dda8b",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "0cf09dd3665f7493f4d0c22e5ca335d8853d35bbb3cdcac0c5e19060e5d70c1f",
      "outputTransactionId": "8a2a9aa01eb2f3d77dbb97aa02b30fd18b67e4756d813f27eb1115b6c855bdac",
      "outputIndex": 5,
      "outputGlobalIndex": 50671743,
      "outputCreatedAt": 1628056,
      "outputSettledAt": 1628059,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
          "index": 0,
          "amount": 1000,
          "name": "RosenErgoRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 1,
          "amount": 5833,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115"
        }
      }
    },
    {
      "boxId": "d0b312b43cc797b58563ee12cccd2cfee886a60da59db7b644b25561aa61ddce",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "67c2b9181464e1f9b70284d37078a68bd5d3001a00dcac5f00b6e9c76ab4b4bd",
      "outputTransactionId": "e1d30ec44a09e133dc77049c29f742e57db766881753280d4627733b46ba1fa6",
      "outputIndex": 0,
      "outputGlobalIndex": 50806619,
      "outputCreatedAt": 1629497,
      "outputSettledAt": 1632349,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCNzNQ51TP2C7dZhBWYB7eCYDNpJy3gjXAJbr3fUtKaZLDQTSw4uZG5sgWWpTmbNQHKxjP2Z3zCqxhaJeLc6tHXQzBop9dHSvFaiGkFZj7RjMvrWnHHA79zpgvwYAKmeRRquAcJV2jsGc8Uvdf3gEpueLPUfRLKHwfqVZsyPheMWfgbUpLRP1zCZRrDRmz9DshmMD5VjxGHtvrWZwxGe3KYNZUis8pixkpMfXVggXJvc57Xig3RxZ3fT2AAuhYeGrzjH74dj44FtyCVa3veMXXDpimkL2qGQ7vnd1Uh6dw5z1KGmJUkbwtoBdq5m9Zcg1mrvTqhk2pE1MM1K4Ax7hgANjWmBXn2nx6cyxUyji1nPKzJdWxYCC7PhRdRqC9mfFxnNg8CJPsyFaTj2FxxAe1bDhL6QaQ9ac4tgUXfG5tKMukdzDJ4o3ibvwTxXffiA2V9kpHo2PNXGTVkvLS7TAqe9xNJN9sqqC9DXYJsTvEQsbbF3WUb8bcYuGk4K4ftdBWEiC6kNKFeqvn6D5uyD5Kf3G1diaPqVbxuoQ6qMEPXgRiRQB5ANJHBxB9HxX186JmKVkRbx3qxzar35aaStHzbzDjPvgvBjhkFcUVRg8DnuHpaXPw83z6FQDC9MCJAhGao4kQvgh7HtMufLZtuZjaMNnE8SVwm87yQBEh4NtyqTGvG",
      "assets": [
        {
          "tokenId": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
          "index": 0,
          "amount": 1000,
          "name": "RosenErgoRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 1,
          "amount": 5833,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "ba95b75b1d74f7fd891d92c0afac0887439afdbbf9fb830ab9c89a4ab31c2dea",
      "transactionId": "d1a6d76e057a9319b92b3fa10dae107e151f5ed9cd184bcd8a660bbbdf6dc292",
      "blockId": "eb984197cc6ab9fd9f7e31695d7a8ea3fc3e131cfe64708e16f83ce59c8601fc",
      "value": 2000000,
      "index": 0,
      "globalIndex": 51017441,
      "creationHeight": 1638838,
      "settlementHeight": 1638840,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(30,64,-80,25,17,-92,-32,-37,53,67,-98,63,37,-67,52,-46,125,27,-83,17,-30,118,-103,118,-48,97,67,-64,-12,12,-59,10)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
          "index": 0,
          "amount": 7000,
          "name": "RosenErgoRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      },
      "spentTransactionId": "7a3f2943404fef4d354dcf50ee415f8b0ab64cc060819e29dc229f791607af80",
      "mainChain": true
    },
    {
      "boxId": "1b6b255297cb83c21a025cbf57151472948ba01543a3e6aa0dc735cf1135aa5c",
      "transactionId": "d1a6d76e057a9319b92b3fa10dae107e151f5ed9cd184bcd8a660bbbdf6dc292",
      "blockId": "eb984197cc6ab9fd9f7e31695d7a8ea3fc3e131cfe64708e16f83ce59c8601fc",
      "value": 2000000,
      "index": 1,
      "globalIndex": 51017442,
      "creationHeight": 1638838,
      "settlementHeight": 1638840,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(43,-89,62,-101,-117,101,-108,19,96,120,-43,-30,-96,88,72,72,-15,-6,-107,-106,-119,27,-63,-18,-24,4,-74,36,-43,101,104,121)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(86,-101,29,-7,120,-75,-75,118,25,-84,13,30,-21,40,21,42,10,-76,-55,6,-39,125,-63,34,11,-14,-88,56,-30,55,5,-107)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "5ivrmzxYZYBHWVcmjndfS3F1g11Z2nxtzwrtzGLeesX6BGtSkk2sfVr9PY1G9AWhmMFZ1NE9Qmt6rEJPnVhYHdHHtjGVjScc1kXMnv2bk3PPU3sgKTNRpKGR1GFZikT52tFYioZjbZeZmVLbF3HQqwKYzhqfu54VyApQoZSRJcaiP7gyAtZiWVkqrL8giqbATFeyaKwC63iBzyJ5o7u8jgf51GsnZB3HYDoCuW2yE1nqH1UaBYuKvtpBoQiqEG7WqzQCsbW2jReFJfyWtK37t7ompt6E8oStB9RF418Lp8zAjewcaatxgtbxvyVZRvABV7cwxkNfuY23PrgsXNhV6Xu5yMycCBjG5AUNcuZKh7Z8a68NaxiQisjrwjbs5NAemPKp1GbUEhdkjpR5muJjs4UnpePEiugpdbpDShn9QiazLeExHKefHW7DxaNLYneVaXZKrtWLXtuAcpcZ71zD23gSoWYKDwAa6QeX7981njAp8zqrtb7Xf9XwZUPdf9vA6hJVcspUPpAzapj8PCuoQMFBFjxx9wGLLr7mTZL1YWsvjhSomGwECp7r47uthgYvdhpj6LoToqcY4Q8jWU4eCB2v3dzNVruKqFosgvQnamu9vWrQQosShiU5pPsqL6NjJ27Nw5VRrcKitYywRoVNutWEqNc3uDpkGejYJkjTBGzgt6jREPGMy35t96wQL6zVjMUsL8gNJTQa29RpNDtrSjtkgF3N8NrnnV9ZzyQZs1iFpZ6QRCN95V6tohrSopKp1XyeG3kj9ptivzwodhMomyhMWhGdsytsKJ8rspKNBaBL5sNpa3gtg53bxpM9vP7tYGKa6ejn9JJe1ncpXQyGnAnsz5WVwmnGGLro6bNme835n32gCaYp5ZE2N5X8ztUpxEF4ZfmmmWy3un9AU4HRZqspnRKMR8fz3u3cscGwMvgHbZ6Hb5kTTB57qmE1RUDXHG9jY7Gdpc2gzyvSShxYW9KyydZyC8JHjLSq6wY5jegcfS6wt3FiDJs53FX8C98u2gKsnJf9wmMrVM5pv2NMX2a8HoADq1pJVT58CvT4S4VV1wB1AWynP7NcyEsEfHQRTZYvVaqYY7SkzncJaaictouXkGUy8Dtd5cHzuJTVxiRjRScNgruqVYH6BBeDjCQKfNtned3X8ayprRgTx44fdx2KRSM6X9aqZ3ukaZuPeAuU3h2ym6Sdz2FKoK7LgxcQdNQ5FJpz66Dk7XBRYnJQfUUpm7nMJASnuYQk6HoXUmUJcfNGSHKyhe6RWFNuNCEbfWzBJYdXRqZoZ9kUKeA7b",
      "assets": [
        {
          "tokenId": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
          "index": 0,
          "amount": 1000,
          "name": "RosenErgoRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115"
        },
        "R5": {
          "serializedValue": "0e20da455cf5de6dfab7a9f4758e1496d7c301500c93a98e209cd2b72fe32d65b320",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "da455cf5de6dfab7a9f4758e1496d7c301500c93a98e209cd2b72fe32d65b320"
        },
        "R6": {
          "serializedValue": "0e20073e2b4dc261e731ee952d842cbf2b5dc03f26fe1fc597d9643ee6cc28e030d5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "073e2b4dc261e731ee952d842cbf2b5dc03f26fe1fc597d9643ee6cc28e030d5"
        },
        "R7": {
          "serializedValue": "0e20eae77168549514eb08e36857b4b26a9fe9f03104eed6c432e4c8331ea63e0e94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "eae77168549514eb08e36857b4b26a9fe9f03104eed6c432e4c8331ea63e0e94"
        }
      },
      "spentTransactionId": "4ff5b5881ded082b0dbc0bbf9a4a57149b2c0659682ee0df242662a17973c56c",
      "mainChain": true
    },
    {
      "boxId": "3dc7359b7c3572a160330f30871c39ea3c6178b06e9af83741779228b632e64d",
      "transactionId": "d1a6d76e057a9319b92b3fa10dae107e151f5ed9cd184bcd8a660bbbdf6dc292",
      "blockId": "eb984197cc6ab9fd9f7e31695d7a8ea3fc3e131cfe64708e16f83ce59c8601fc",
      "value": 327835898,
      "index": 2,
      "globalIndex": 51017443,
      "creationHeight": 1638838,
      "settlementHeight": 1638840,
      "ergoTree": "0008cd0266650387f6ae112351f302241f51ea97c025f0a9efcc197f31fd225740fa4fdc",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(666503,ebf21e,...)))}",
      "address": "9fJA3hHRYKusg5eLShd6bt2zsjD79eNtK8ALS3PVVF3TQuwgg4R",
      "assets": [
        {
          "tokenId": "a482c6a3fc2ee79314f23dd94060fb7b1996319d7c2587545600752376393115",
          "index": 0,
          "amount": 3,
          "name": "WID-93115-Quwgg4R",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "7a3f2943404fef4d354dcf50ee415f8b0ab64cc060819e29dc229f791607af80",
      "mainChain": true
    },
    {
      "boxId": "b8ed813d6416fa1d8052e608d18b40f54bcd53bcdf31cb845cad41bba7ed3bff",
      "transactionId": "d1a6d76e057a9319b92b3fa10dae107e151f5ed9cd184bcd8a660bbbdf6dc292",
      "blockId": "eb984197cc6ab9fd9f7e31695d7a8ea3fc3e131cfe64708e16f83ce59c8601fc",
      "value": 2000000,
      "index": 3,
      "globalIndex": 51017444,
      "creationHeight": 1638838,
      "settlementHeight": 1638840,
      "ergoTree": "0008cd0266650387f6ae112351f302241f51ea97c025f0a9efcc197f31fd225740fa4fdc",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(666503,ebf21e,...)))}",
      "address": "9fJA3hHRYKusg5eLShd6bt2zsjD79eNtK8ALS3PVVF3TQuwgg4R",
      "assets": [
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 0,
          "amount": 11666,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "a3a8fb3dde172f710db0e81f800a0b89d72220fe6c721612fa4b93ec957ae272",
      "mainChain": true
    },
    {
      "boxId": "b8bd2b6d5229b23a6f16a020b194cd608905bfe879b92445ef933e860a0ff1d1",
      "transactionId": "d1a6d76e057a9319b92b3fa10dae107e151f5ed9cd184bcd8a660bbbdf6dc292",
      "blockId": "eb984197cc6ab9fd9f7e31695d7a8ea3fc3e131cfe64708e16f83ce59c8601fc",
      "value": 2000000,
      "index": 4,
      "globalIndex": 51017445,
      "creationHeight": 1638838,
      "settlementHeight": 1638840,
      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
      "address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "f7db81d92e9d64d1e6757b68dedfde1213bca5f369263d976523983feac96137",
      "mainChain": true
    }
  ],
  "size": 2183,
  "isUnconfirmed": false
}