Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
16,044.54 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
1 ERG
Output transaction:
Settlement height:
Value:
6.96 ERG
Tokens:
Outputs (4)
Spent in transaction:
Settlement height:
Value:
16,044.84 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
7.65 ERG
Tokens:
Settlement height:
Value:
0.002499967 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 3.54 KB
Received time: 6/28/2025 11:32:03 PM
Included in blocks: 1,557,248
Confirmations: 200,181
Total coins transferred: 16,052.49 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000276 ERG
Raw Transaction Data
{
  "id": "227438b5aaa6db600476ad3c63fba3258c3752afcc5046deb48d2ebdef440a1e",
  "blockId": "fa543829fe5611ab81467d5c173781e827454ed25b8a7531ce2a848e7061a455",
  "inclusionHeight": 1557248,
  "timestamp": 1751153523818,
  "index": 17,
  "globalIndex": 9143187,
  "numConfirmations": 200181,
  "inputs": [
    {
      "boxId": "f2ba4c1277e5dc0d70425c0b417ef37ae3846f6c47fa3b27ca0b0fe6c69a29a9",
      "value": 16044537682107,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "b8ba2a53ce2c7bfa1209cc91d64af0b23f5b8ee7cb5765ada96a25395b8f3b90",
      "outputTransactionId": "19c3e47e5ca467a1ecc9a5d4401a6038610d9c9534d7e0eabdf43220d87d5f5f",
      "outputIndex": 0,
      "outputGlobalIndex": 48513460,
      "outputCreatedAt": 1553549,
      "outputSettledAt": 1553551,
      "ergoTree": 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      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 0\n8: CBigInt(1000000000)\n9: CBigInt(1000)\n10: 1000000\n11: CBigInt(66)\n12: CBigInt(100)\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: 35\n38: 0\n39: 0\n40: Coll(60,69,-14,-102,81,101,-80,48,-3,-75,-22,-11,-40,31,-127,8,-7,-40,-11,7,-77,20,-121,-35,81,-12,-82,8,-2,7,-49,74)\n41: true\n42: CBigInt(200)\n43: true\n44: 720\n45: 0\n46: 0\n47: 14\n48: CBigInt(200)\n49: CBigInt(2)\n50: true\n51: 14\n52: 0\n53: 0\n54: 0\n55: 14\n56: 0\n57: 1\n58: 14\n59: 1\n60: 14\n61: 1\n62: 0\n63: 14\n64: 0\n65: 0\n66: 0\n67: 14\n68: 0\n69: 1\n70: 14\n71: 1\n72: 14\n73: 1\n74: 0\n75: 720\n76: 720\n77: 720\n78: 14\n79: 14\n80: 0\n81: 0\n82: 14\n83: true\n84: CBigInt(200)\n85: CBigInt(2)\n86: 14\n87: 0\n88: 0\n89: 0\n90: 14\n91: 0\n92: 1\n93: 14\n94: 1\n95: 14\n96: 1\n97: 0\n98: 14\n99: 0\n100: 0\n101: 0\n102: 14\n103: 0\n104: 1\n105: 14\n106: 1\n107: 14\n108: 1\n109: 0\n110: 720\n111: 720\n112: false\n113: 1\n114: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val box2 = OUTPUTS(placeholder[Int](0))\n  val coll3 = box2.tokens\n  val tuple4 = coll1(placeholder[Int](1))\n  val tuple5 = coll3(placeholder[Int](2))\n  val tuple6 = coll1(placeholder[Int](3))\n  val tuple7 = coll3(placeholder[Int](4))\n  val tuple8 = SELF.R4[(Long, Long)].get\n  val bool9 = tuple8 == box2.R4[(Long, Long)].get\n  val prop10 = SELF.R5[SigmaProp].get\n  val prop11 = box2.R5[SigmaProp].get\n  val tuple12 = SELF.R6[(Long, Long)].get\n  val l13 = tuple12._2\n  val tuple14 = box2.R6[(Long, Long)].get\n  val l15 = tuple14._2\n  val bool16 = allOf(\n    Coll[Boolean](\n      coll1(placeholder[Int](5))._1 == coll3(\n        placeholder[Int](6)\n      )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n    )\n  )\n  val l17 = tuple4._2\n  val l18 = tuple5._2\n  val bool19 = l17 > l18\n  val l20 = tuple6._2\n  val l21 = tuple7._2\n  val bool22 = l20 > l21\n  val l23 = SELF.value\n  val l24 = box2.value\n  val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n  val bool26 = l17 < l18\n  val bool27 = l20 < l21\n  val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n  val bool29 = l23 == l24\n  val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n  val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n  val box32 = CONTEXT.dataInputs(placeholder[Int](7))\n  val l33 = tuple12._1\n  val coll34 = prop10.propBytes\n  val coll35 = SELF.R7[Coll[Long]].get\n  val coll36 = box2.R7[Coll[Long]].get\n  val coll37 = SELF.R8[Coll[Long]].get\n  val coll38 = box2.R8[Coll[Long]].get\n  val l39 = SELF.R9[Long].get\n  val l40 = box2.R9[Long].get\n  if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n    val bi41 = tuple8._1 - l17.toBigInt\n    val bi42 = placeholder[BigInt](8)\n    val bi43 = placeholder[BigInt](9)\n    val bi44 = l23 - placeholder[Long](10).toBigInt\n    val bi45 = tuple8._2 - l20.toBigInt\n    val opt46 = getVar[SigmaProp](0.toByte)\n    val bi47 = min(placeholder[BigInt](11) * bi42 / placeholder[BigInt](12), bi41 * box32.R4[Long].get.toBigInt / bi43 / bi44)\n    val bi48 = bi42 - bi47\n    val func49 = {(l49: Long) => l49.toBigInt * bi48 * bi44 / bi45 / bi42 }\n    val func50 = {(l50: Long) => l50.toBigInt * bi47 * bi44 / bi41 / bi42 }\n    val bi51 = if (bool25) { l24 - l23.toBigInt } else {\n      if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func49(l21 - l20) } else { func50(l18 - l17) } }\n    }\n    val bi52 = placeholder[BigInt](13) * bi51 / bi43\n    val bi53 = placeholder[BigInt](14)\n    val tuple54 = (coll34, if (l33 < l13) { placeholder[BigInt](15) * bi51 / bi43 * l13 - l33.toBigInt / l13.toBigInt } else { bi53 })\n    val tuple55 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi51 / bi43)\n    val tuple56 = (Coll[Byte](placeholder[Byte](18)), bi53)\n    val coll57 = if (bool31 || bool30) {\n      if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, tuple55, (opt46.get.propBytes, bi52)) } else {\n        Coll[(Coll[Byte], BigInt)](tuple54, tuple55, tuple56)\n      }\n    } else {\n      if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, (opt46.get.propBytes, bi52), tuple56) } else {\n        Coll[(Coll[Byte], BigInt)](tuple54, tuple56, tuple56)\n      }\n    }\n    val tuple58 = coll57(placeholder[Int](19))\n    val bi59 = tuple58._2\n    val tuple60 = coll57(placeholder[Int](20))\n    val bi61 = tuple60._2\n    val box62 = OUTPUTS(placeholder[Int](21))\n    val coll63 = tuple60._1\n    val bool64 = bi61 > bi53\n    val bool65 = allOf(Coll[Boolean]((if (bi59 > bi53) {(\n            val box65 = if (bi61 <= bi53) { box62 } else { OUTPUTS(placeholder[Int](22)) }\n            allOf(Coll[Boolean](box65.propositionBytes == tuple58._1, box65.value.toBigInt == bi59 + placeholder[BigInt](23)))\n          )} else { placeholder[Boolean](24) } && if (opt46.isDefined) { if (bool64) {(\n              val box65 = if (bi61 <= bi53) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n              allOf(Coll[Boolean](box65.propositionBytes == coll63, box65.value.toBigInt == bi61 + placeholder[BigInt](27)))\n            )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool64) {(\n            val coll65 = box62.propositionBytes\n            val box66 = INPUTS(INPUTS.size - placeholder[Int](30))\n            allOf(Coll[Boolean](coll65 == coll63, coll65 == box66.propositionBytes, box62.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box62.value.toBigInt == box66.value.toBigInt + bi61 + placeholder[BigInt](33)))\n          )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l33.toBigInt == bi59, l15 == l13))\n    val bool66 = allOf(Coll[Boolean](coll35 == coll36, coll37 == coll38, l39 == l40))\n    val func67 = {(coll67: Coll[Long]) => coll67.fold(placeholder[Long](36), {(tuple69: (Long, Long)) => tuple69._1 + tuple69._2 }).toBigInt }\n    val i68 = HEIGHT - box32.creationInfo._1\n    val bool69 = allOf(\n      Coll[Boolean]((i68 < placeholder[Int](37)) && (i68 >= placeholder[Int](38)), box32.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n    )\n    if (bool25) {(\n      val bi70 = l24 - l23.toBigInt\n      val bi71 = bi42 - bi42 / bi43\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool16, l17 - l18.toBigInt == bi70 * bi41 * bi71 / bi44 / bi42, l20 - l21.toBigInt == bi70 * bi45 * bi71 / bi44 / bi42, placeholder[Boolean](\n              41\n            ), bool65, bool66\n          )\n        )\n      )\n    )} else { if (bool28) {(\n        val bi70 = l23 - l24.toBigInt\n        val bi71 = bi44 * bi42 - bi42 / placeholder[BigInt](42)\n        sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi70 * bi41 * bi42 / bi71, l21 - l20.toBigInt == bi70 * bi45 * bi42 / bi71, placeholder[Boolean](43), bool65, bool66)))\n      )} else { if (bool30) {(\n          val l70 = l21 - l20\n          val bi71 = func67(coll38)\n          val bi72 = func67(coll36)\n          val i73 = HEIGHT.toLong - l39 / placeholder[Int](44).toLong.toInt\n          val bool74 = i73 == placeholder[Int](45)\n          val bool75 = i73 > placeholder[Int](46)\n          val i76 = placeholder[Int](47) - i73\n          sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](48) + bi42 / placeholder[BigInt](49) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi45 * bi48 * bi41 / bi42 / bi47, placeholder[Boolean](50), l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll38.size == placeholder[Int](51), if (bool74) { coll37(placeholder[Int](52)) } else { placeholder[Long](53) } == coll38(placeholder[Int](54)), if (bool75) { coll38.slice(i73, placeholder[Int](55)) == coll37.slice(placeholder[Int](56), i76) } else { coll38.slice(placeholder[Int](57), placeholder[Int](58)) == coll37.slice(placeholder[Int](59), placeholder[Int](60)) }, coll38.slice(placeholder[Int](61), i73).forall({(l77: Long) => l77 == placeholder[Long](62) }))), allOf(Coll[Boolean](coll36.size == placeholder[Int](63), coll36(placeholder[Int](64)).toBigInt == if (bool74) { coll35(placeholder[Int](65)) } else { placeholder[Long](66) }.toBigInt + func49(l70), if (bool75) { coll36.slice(i73, placeholder[Int](67)) == coll35.slice(placeholder[Int](68), i76) } else { coll36.slice(placeholder[Int](69), placeholder[Int](70)) == coll35.slice(placeholder[Int](71), placeholder[Int](72)) }, coll36.slice(placeholder[Int](73), i73).forall({(l77: Long) => l77 == placeholder[Long](74) }))), l40 == HEIGHT / placeholder[Int](75) * placeholder[Int](76).toLong, bool69)))\n        )} else { if (bool31) {(\n            val l70 = l18 - l17\n            val bi71 = func67(coll36)\n            val bi72 = func67(coll38)\n            val i73 = HEIGHT.toLong - l39 / placeholder[Int](77).toLong.toInt\n            val i74 = if (i73 >= placeholder[Int](78)) { placeholder[Int](79) } else { i73 }\n            val bool75 = i74 == placeholder[Int](80)\n            val bool76 = i74 > placeholder[Int](81)\n            val i77 = placeholder[Int](82) - i74\n            sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](83), l20 - l21.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](84) + bi42 / placeholder[BigInt](85) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi41 * bi47 * bi45 / bi42 / bi48, l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll36.size == placeholder[Int](86), if (bool75) { coll35(placeholder[Int](87)) } else { placeholder[Long](88) } == coll36(placeholder[Int](89)), if (bool76) { coll36.slice(i74, placeholder[Int](90)) == coll35.slice(placeholder[Int](91), i77) } else { coll36.slice(placeholder[Int](92), placeholder[Int](93)) == coll35.slice(placeholder[Int](94), placeholder[Int](95)) }, coll36.slice(placeholder[Int](96), i74).forall({(l78: Long) => l78 == placeholder[Long](97) }))), allOf(Coll[Boolean](coll38.size == placeholder[Int](98), coll38(placeholder[Int](99)).toBigInt == if (bool75) { coll37(placeholder[Int](100)) } else { placeholder[Long](101) }.toBigInt + func50(l70), if (bool76) { coll38.slice(i74, placeholder[Int](102)) == coll37.slice(placeholder[Int](103), i77) } else { coll38.slice(placeholder[Int](104), placeholder[Int](105)) == coll37.slice(placeholder[Int](106), placeholder[Int](107)) }, coll38.slice(placeholder[Int](108), i74).forall({(l78: Long) => l78 == placeholder[Long](109) }))), l40 == HEIGHT / placeholder[Int](110) * placeholder[Int](111).toLong, bool69)))\n          )} else { sigmaProp(placeholder[Boolean](112)) } } } }\n  )} else {\n    if (INPUTS(placeholder[Int](113)).propositionBytes == coll34) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll35 == coll36, coll37 == coll38, l39 == l40)), prop11 != prop10\n          )\n        )\n      ) && prop10\n    } else { sigmaProp(placeholder[Boolean](114)) }\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "797e331df22c5cfd0aae654703ebc12dcbcba99b80d32e2b7e151eac2d27b6fa",
          "index": 0,
          "amount": 1,
          "name": "GluonW NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 1,
          "amount": 99999944548367940,
          "name": "GluonW GAU",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
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          "index": 2,
          "amount": 99999978659132540,
          "name": "GluonW GAUC",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "08cd03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467",
          "sigmaType": "SSigmaProp",
          "renderedValue": "03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467"
        },
        "R6": {
          "serializedValue": "59c4d7fdb7b60c808088fccdbcc323",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[213464888802,10000000000000000]"
        },
        "R8": {
          "serializedValue": "110ee294ddaaa6020000aa85cfbfa5010000000000000094cfdd9cb90f0000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[39504815409,0,0,22212632917,0,0,0,0,0,0,0,265378575306,0,0]"
        },
        "R7": {
          "serializedValue": "110e0000000000000000000000000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0,0,0,0,0,0,0,0,0,0,0,0]"
        },
        "R9": {
          "serializedValue": "05a0cabd01",
          "sigmaType": "SLong",
          "renderedValue": "1553040"
        },
        "R4": {
          "serializedValue": "598080d0d88bdea2e3028080d0d88bdea2e302",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[100000000000000000,100000000000000000]"
        }
      }
    },
    {
      "boxId": "059674a7ed1e8c80b9db2046aac5850470f26dc4f85146998e72386625263fb4",
      "value": 1000000000,
      "index": 1,
      "spendingProof": "ed3fbe9b5e3f42bc0ffbe9ef932e29416a21448c91df6733b02a3ca7177e07f7e5310f4e0b6e2355aaa2acaa7f9759c329b86d92a1b23f4d",
      "outputBlockId": "1a082c0920981bd2811dbadae1e0a62864087b843f9c340fb4ed38c6bdb63e2e",
      "outputTransactionId": "1ca1eb4c847be9a6359bf5f8c5b4e489ac016491b30d0df530800d137b1d01ec",
      "outputIndex": 0,
      "outputGlobalIndex": 48116175,
      "outputCreatedAt": 1535896,
      "outputSettledAt": 1535898,
      "ergoTree": "0008cd025ce10fa4bf658c79dffceaa3ad314643834f125c8ace2bf76d1ea54d2dc42db9",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5ce10f,78bba1,...)))}",
      "address": "9fDxzGJt4nXT7KuVbNr45gFaNnBPwz2yg16kTyMsVts1LdEUky2",
      "assets": [],
      "additionalRegisters": {}
    },
    {
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      "spendingProof": "4c1e4a6cffe93729e399b85f03bc60b70ee44557b2d5bbfd8f9a88684c50ba042cae4dbf8c576dcf68c61ff2297ad64d8ced3f1b9271a548",
      "outputBlockId": "1a082c0920981bd2811dbadae1e0a62864087b843f9c340fb4ed38c6bdb63e2e",
      "outputTransactionId": "1ca1eb4c847be9a6359bf5f8c5b4e489ac016491b30d0df530800d137b1d01ec",
      "outputIndex": 2,
      "outputGlobalIndex": 48116177,
      "outputCreatedAt": 1535896,
      "outputSettledAt": 1535898,
      "ergoTree": "0008cd025ce10fa4bf658c79dffceaa3ad314643834f125c8ace2bf76d1ea54d2dc42db9",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5ce10f,78bba1,...)))}",
      "address": "9fDxzGJt4nXT7KuVbNr45gFaNnBPwz2yg16kTyMsVts1LdEUky2",
      "assets": [
        {
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          "index": 0,
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          "name": "Gluon",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
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          "index": 1,
          "amount": 7172431,
          "name": "GluonW GAU",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
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          "index": 2,
          "amount": 2582827,
          "name": "GluonW GAUC",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
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      "value": 10000000,
      "index": 0,
      "outputBlockId": "e12fc78c3db89a850ee2c8f1a7558dd0da34b2da37721da61ac74a8f31737f30",
      "outputTransactionId": "1492dcff01d12dda21573db8a01b2af0b03a885d519fea5c5830739fe09559f3",
      "outputIndex": 0,
      "ergoTree": "1004040204000e2097ad159235d25d05d7efc5863b5d360f89d7d668409502058be3e7aac177b9cb0e20a40bedb08a32c0258405f950af5a133c397630f89f7d31fb00b3ab9811d29e6ad801d6018cb2db6308b2a473000073010001d1ec93720173029372017303",
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      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "05e8fdddf8d6c533",
          "sigmaType": "SLong",
          "renderedValue": "113347266330484"
        },
        "R5": {
          "serializedValue": "04bae501",
          "sigmaType": "SInt",
          "renderedValue": "14685"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "c22dd09f21099f947e93fd207234881cbbee27a41d399b8413391a5abb0ac7ca",
      "transactionId": "227438b5aaa6db600476ad3c63fba3258c3752afcc5046deb48d2ebdef440a1e",
      "blockId": "fa543829fe5611ab81467d5c173781e827454ed25b8a7531ce2a848e7061a455",
      "value": 16044837682107,
      "index": 0,
      "globalIndex": 48611616,
      "creationHeight": 1553549,
      "settlementHeight": 1557248,
      "ergoTree": 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      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 2\n4: 2\n5: 0\n6: 0\n7: 0\n8: CBigInt(1000000000)\n9: CBigInt(1000)\n10: 1000000\n11: CBigInt(66)\n12: CBigInt(100)\n13: CBigInt(4)\n14: CBigInt(0)\n15: CBigInt(5)\n16: Coll(16,37,4,0,4,0,4,2,4,2,4,2,4,0,14,32,-47,-55,-30,6,87,-76,-29,125,-29,-51,39,-102,-103,66,102,-37,52,-79,-114,110,120,99,113,-125,42,-48,20,-3,70,88,49,-104,4,4,4,0,4,0,4,0,4,2,14,32,123,-94,-88,95,-37,48,42,24,21,120,-79,-10,76,-76,-91,51,-40,-101,63,-115,-28,21,-98,-2,-50,117,-38,65,4,21,55,-7,5,0,4,4,5,-56,1,5)\n17: CBigInt(1)\n18: 1\n19: 0\n20: 1\n21: 2\n22: 3\n23: CBigInt(1000000)\n24: true\n25: 3\n26: 4\n27: CBigInt(1000000)\n28: true\n29: true\n30: 1\n31: 0\n32: Coll(17,-102,6,-118,1,25,103,13,-24,-91,-46,70,125,-93,61,-11,114,-112,60,100,-86,-89,-74,-22,76,-106,104,-17,12,-2,3,37)\n33: CBigInt(1000000)\n34: true\n35: true\n36: 0\n37: 35\n38: 0\n39: 0\n40: Coll(60,69,-14,-102,81,101,-80,48,-3,-75,-22,-11,-40,31,-127,8,-7,-40,-11,7,-77,20,-121,-35,81,-12,-82,8,-2,7,-49,74)\n41: true\n42: CBigInt(200)\n43: true\n44: 720\n45: 0\n46: 0\n47: 14\n48: CBigInt(200)\n49: CBigInt(2)\n50: true\n51: 14\n52: 0\n53: 0\n54: 0\n55: 14\n56: 0\n57: 1\n58: 14\n59: 1\n60: 14\n61: 1\n62: 0\n63: 14\n64: 0\n65: 0\n66: 0\n67: 14\n68: 0\n69: 1\n70: 14\n71: 1\n72: 14\n73: 1\n74: 0\n75: 720\n76: 720\n77: 720\n78: 14\n79: 14\n80: 0\n81: 0\n82: 14\n83: true\n84: CBigInt(200)\n85: CBigInt(2)\n86: 14\n87: 0\n88: 0\n89: 0\n90: 14\n91: 0\n92: 1\n93: 14\n94: 1\n95: 14\n96: 1\n97: 0\n98: 14\n99: 0\n100: 0\n101: 0\n102: 14\n103: 0\n104: 1\n105: 14\n106: 1\n107: 14\n108: 1\n109: 0\n110: 720\n111: 720\n112: false\n113: 1\n114: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val box2 = OUTPUTS(placeholder[Int](0))\n  val coll3 = box2.tokens\n  val tuple4 = coll1(placeholder[Int](1))\n  val tuple5 = coll3(placeholder[Int](2))\n  val tuple6 = coll1(placeholder[Int](3))\n  val tuple7 = coll3(placeholder[Int](4))\n  val tuple8 = SELF.R4[(Long, Long)].get\n  val bool9 = tuple8 == box2.R4[(Long, Long)].get\n  val prop10 = SELF.R5[SigmaProp].get\n  val prop11 = box2.R5[SigmaProp].get\n  val tuple12 = SELF.R6[(Long, Long)].get\n  val l13 = tuple12._2\n  val tuple14 = box2.R6[(Long, Long)].get\n  val l15 = tuple14._2\n  val bool16 = allOf(\n    Coll[Boolean](\n      coll1(placeholder[Int](5))._1 == coll3(\n        placeholder[Int](6)\n      )._1, tuple4._1 == tuple5._1, tuple6._1 == tuple7._1, SELF.propositionBytes == box2.propositionBytes, bool9, prop10 == prop11, l13 == l15\n    )\n  )\n  val l17 = tuple4._2\n  val l18 = tuple5._2\n  val bool19 = l17 > l18\n  val l20 = tuple6._2\n  val l21 = tuple7._2\n  val bool22 = l20 > l21\n  val l23 = SELF.value\n  val l24 = box2.value\n  val bool25 = allOf(Coll[Boolean](bool16, bool19, bool22, l23 < l24))\n  val bool26 = l17 < l18\n  val bool27 = l20 < l21\n  val bool28 = allOf(Coll[Boolean](bool16, bool26, bool27, l23 > l24))\n  val bool29 = l23 == l24\n  val bool30 = allOf(Coll[Boolean](bool16, bool19, bool27, bool29))\n  val bool31 = allOf(Coll[Boolean](bool16, bool26, bool22, bool29))\n  val box32 = CONTEXT.dataInputs(placeholder[Int](7))\n  val l33 = tuple12._1\n  val coll34 = prop10.propBytes\n  val coll35 = SELF.R7[Coll[Long]].get\n  val coll36 = box2.R7[Coll[Long]].get\n  val coll37 = SELF.R8[Coll[Long]].get\n  val coll38 = box2.R8[Coll[Long]].get\n  val l39 = SELF.R9[Long].get\n  val l40 = box2.R9[Long].get\n  if (anyOf(Coll[Boolean](bool25, bool28, bool30, bool31))) {(\n    val bi41 = tuple8._1 - l17.toBigInt\n    val bi42 = placeholder[BigInt](8)\n    val bi43 = placeholder[BigInt](9)\n    val bi44 = l23 - placeholder[Long](10).toBigInt\n    val bi45 = tuple8._2 - l20.toBigInt\n    val opt46 = getVar[SigmaProp](0.toByte)\n    val bi47 = min(placeholder[BigInt](11) * bi42 / placeholder[BigInt](12), bi41 * box32.R4[Long].get.toBigInt / bi43 / bi44)\n    val bi48 = bi42 - bi47\n    val func49 = {(l49: Long) => l49.toBigInt * bi48 * bi44 / bi45 / bi42 }\n    val func50 = {(l50: Long) => l50.toBigInt * bi47 * bi44 / bi41 / bi42 }\n    val bi51 = if (bool25) { l24 - l23.toBigInt } else {\n      if (bool28) { l23 - l24.toBigInt } else { if (bool30) { func49(l21 - l20) } else { func50(l18 - l17) } }\n    }\n    val bi52 = placeholder[BigInt](13) * bi51 / bi43\n    val bi53 = placeholder[BigInt](14)\n    val tuple54 = (coll34, if (l33 < l13) { placeholder[BigInt](15) * bi51 / bi43 * l13 - l33.toBigInt / l13.toBigInt } else { bi53 })\n    val tuple55 = (placeholder[Coll[Byte]](16), placeholder[BigInt](17) * bi51 / bi43)\n    val tuple56 = (Coll[Byte](placeholder[Byte](18)), bi53)\n    val coll57 = if (bool31 || bool30) {\n      if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, tuple55, (opt46.get.propBytes, bi52)) } else {\n        Coll[(Coll[Byte], BigInt)](tuple54, tuple55, tuple56)\n      }\n    } else {\n      if (opt46.isDefined) { Coll[(Coll[Byte], BigInt)](tuple54, (opt46.get.propBytes, bi52), tuple56) } else {\n        Coll[(Coll[Byte], BigInt)](tuple54, tuple56, tuple56)\n      }\n    }\n    val tuple58 = coll57(placeholder[Int](19))\n    val bi59 = tuple58._2\n    val tuple60 = coll57(placeholder[Int](20))\n    val bi61 = tuple60._2\n    val box62 = OUTPUTS(placeholder[Int](21))\n    val coll63 = tuple60._1\n    val bool64 = bi61 > bi53\n    val bool65 = allOf(Coll[Boolean]((if (bi59 > bi53) {(\n            val box65 = if (bi61 <= bi53) { box62 } else { OUTPUTS(placeholder[Int](22)) }\n            allOf(Coll[Boolean](box65.propositionBytes == tuple58._1, box65.value.toBigInt == bi59 + placeholder[BigInt](23)))\n          )} else { placeholder[Boolean](24) } && if (opt46.isDefined) { if (bool64) {(\n              val box65 = if (bi61 <= bi53) { OUTPUTS(placeholder[Int](25)) } else { OUTPUTS(placeholder[Int](26)) }\n              allOf(Coll[Boolean](box65.propositionBytes == coll63, box65.value.toBigInt == bi61 + placeholder[BigInt](27)))\n            )} else { placeholder[Boolean](28) } } else { placeholder[Boolean](29) }) && if (bool30 || bool31) { if (bool64) {(\n            val coll65 = box62.propositionBytes\n            val box66 = INPUTS(INPUTS.size - placeholder[Int](30))\n            allOf(Coll[Boolean](coll65 == coll63, coll65 == box66.propositionBytes, box62.tokens(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box62.value.toBigInt == box66.value.toBigInt + bi61 + placeholder[BigInt](33)))\n          )} else { placeholder[Boolean](34) } } else { placeholder[Boolean](35) }, tuple14._1 - l33.toBigInt == bi59, l15 == l13))\n    val bool66 = allOf(Coll[Boolean](coll35 == coll36, coll37 == coll38, l39 == l40))\n    val func67 = {(coll67: Coll[Long]) => coll67.fold(placeholder[Long](36), {(tuple69: (Long, Long)) => tuple69._1 + tuple69._2 }).toBigInt }\n    val i68 = HEIGHT - box32.creationInfo._1\n    val bool69 = allOf(\n      Coll[Boolean]((i68 < placeholder[Int](37)) && (i68 >= placeholder[Int](38)), box32.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n    )\n    if (bool25) {(\n      val bi70 = l24 - l23.toBigInt\n      val bi71 = bi42 - bi42 / bi43\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool16, l17 - l18.toBigInt == bi70 * bi41 * bi71 / bi44 / bi42, l20 - l21.toBigInt == bi70 * bi45 * bi71 / bi44 / bi42, placeholder[Boolean](\n              41\n            ), bool65, bool66\n          )\n        )\n      )\n    )} else { if (bool28) {(\n        val bi70 = l23 - l24.toBigInt\n        val bi71 = bi44 * bi42 - bi42 / placeholder[BigInt](42)\n        sigmaProp(allOf(Coll[Boolean](bool16, l18 - l17.toBigInt == bi70 * bi41 * bi42 / bi71, l21 - l20.toBigInt == bi70 * bi45 * bi42 / bi71, placeholder[Boolean](43), bool65, bool66)))\n      )} else { if (bool30) {(\n          val l70 = l21 - l20\n          val bi71 = func67(coll38)\n          val bi72 = func67(coll36)\n          val i73 = HEIGHT.toLong - l39 / placeholder[Int](44).toLong.toInt\n          val bool74 = i73 == placeholder[Int](45)\n          val bool75 = i73 > placeholder[Int](46)\n          val i76 = placeholder[Int](47) - i73\n          sigmaProp(allOf(Coll[Boolean](bool16, l17 - l18.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](48) + bi42 / placeholder[BigInt](49) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi45 * bi48 * bi41 / bi42 / bi47, placeholder[Boolean](50), l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll38.size == placeholder[Int](51), if (bool74) { coll37(placeholder[Int](52)) } else { placeholder[Long](53) } == coll38(placeholder[Int](54)), if (bool75) { coll38.slice(i73, placeholder[Int](55)) == coll37.slice(placeholder[Int](56), i76) } else { coll38.slice(placeholder[Int](57), placeholder[Int](58)) == coll37.slice(placeholder[Int](59), placeholder[Int](60)) }, coll38.slice(placeholder[Int](61), i73).forall({(l77: Long) => l77 == placeholder[Long](62) }))), allOf(Coll[Boolean](coll36.size == placeholder[Int](63), coll36(placeholder[Int](64)).toBigInt == if (bool74) { coll35(placeholder[Int](65)) } else { placeholder[Long](66) }.toBigInt + func49(l70), if (bool75) { coll36.slice(i73, placeholder[Int](67)) == coll35.slice(placeholder[Int](68), i76) } else { coll36.slice(placeholder[Int](69), placeholder[Int](70)) == coll35.slice(placeholder[Int](71), placeholder[Int](72)) }, coll36.slice(placeholder[Int](73), i73).forall({(l77: Long) => l77 == placeholder[Long](74) }))), l40 == HEIGHT / placeholder[Int](75) * placeholder[Int](76).toLong, bool69)))\n        )} else { if (bool31) {(\n            val l70 = l18 - l17\n            val bi71 = func67(coll36)\n            val bi72 = func67(coll38)\n            val i73 = HEIGHT.toLong - l39 / placeholder[Int](77).toLong.toInt\n            val i74 = if (i73 >= placeholder[Int](78)) { placeholder[Int](79) } else { i73 }\n            val bool75 = i74 == placeholder[Int](80)\n            val bool76 = i74 > placeholder[Int](81)\n            val i77 = placeholder[Int](82) - i74\n            sigmaProp(allOf(Coll[Boolean](bool16, placeholder[Boolean](83), l20 - l21.toBigInt == l70.toBigInt * bi42 - bi42 / placeholder[BigInt](84) + bi42 / placeholder[BigInt](85) * if (bi71 > bi72) { bi53 } else { bi72 - bi71 } / bi44 / bi41 * bi47 * bi45 / bi42 / bi48, l24.toBigInt == l23.toBigInt, bool65, allOf(Coll[Boolean](coll36.size == placeholder[Int](86), if (bool75) { coll35(placeholder[Int](87)) } else { placeholder[Long](88) } == coll36(placeholder[Int](89)), if (bool76) { coll36.slice(i74, placeholder[Int](90)) == coll35.slice(placeholder[Int](91), i77) } else { coll36.slice(placeholder[Int](92), placeholder[Int](93)) == coll35.slice(placeholder[Int](94), placeholder[Int](95)) }, coll36.slice(placeholder[Int](96), i74).forall({(l78: Long) => l78 == placeholder[Long](97) }))), allOf(Coll[Boolean](coll38.size == placeholder[Int](98), coll38(placeholder[Int](99)).toBigInt == if (bool75) { coll37(placeholder[Int](100)) } else { placeholder[Long](101) }.toBigInt + func50(l70), if (bool76) { coll38.slice(i74, placeholder[Int](102)) == coll37.slice(placeholder[Int](103), i77) } else { coll38.slice(placeholder[Int](104), placeholder[Int](105)) == coll37.slice(placeholder[Int](106), placeholder[Int](107)) }, coll38.slice(placeholder[Int](108), i74).forall({(l78: Long) => l78 == placeholder[Long](109) }))), l40 == HEIGHT / placeholder[Int](110) * placeholder[Int](111).toLong, bool69)))\n          )} else { sigmaProp(placeholder[Boolean](112)) } } } }\n  )} else {\n    if (INPUTS(placeholder[Int](113)).propositionBytes == coll34) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            allOf(Coll[Boolean](bool29, coll1 == coll3, bool9, tuple12 == tuple14, coll35 == coll36, coll37 == coll38, l39 == l40)), prop11 != prop10\n          )\n        )\n      ) && prop10\n    } else { sigmaProp(placeholder[Boolean](114)) }\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "797e331df22c5cfd0aae654703ebc12dcbcba99b80d32e2b7e151eac2d27b6fa",
          "index": 0,
          "amount": 1,
          "name": "GluonW NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "886b7721bef42f60c6317d37d8752da8aca01898cae7dae61808c4a14225edc8",
          "index": 1,
          "amount": 99999944547332140,
          "name": "GluonW GAU",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "9944ff273ff169f32b851b96bbecdbb67f223101c15ae143de82b3e7f75b19d2",
          "index": 2,
          "amount": 99999978658733900,
          "name": "GluonW GAUC",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "08cd03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467",
          "sigmaType": "SSigmaProp",
          "renderedValue": "03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467"
        },
        "R6": {
          "serializedValue": "59c2e4b4b9b60c808088fccdbcc323",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[213466388769,10000000000000000]"
        },
        "R8": {
          "serializedValue": "110ee294ddaaa6020000aa85cfbfa5010000000000000094cfdd9cb90f0000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[39504815409,0,0,22212632917,0,0,0,0,0,0,0,265378575306,0,0]"
        },
        "R7": {
          "serializedValue": "110e0000000000000000000000000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0,0,0,0,0,0,0,0,0,0,0,0]"
        },
        "R9": {
          "serializedValue": "05a0cabd01",
          "sigmaType": "SLong",
          "renderedValue": "1553040"
        },
        "R4": {
          "serializedValue": "598080d0d88bdea2e3028080d0d88bdea2e302",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[100000000000000000,100000000000000000]"
        }
      },
      "spentTransactionId": "4d887f843ec3fd4a2affa2bc1890d912ac97e12869865730ea3accc31e7a6027",
      "mainChain": true
    },
    {
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      "index": 1,
      "globalIndex": 48611617,
      "creationHeight": 1553549,
      "settlementHeight": 1557248,
      "ergoTree": "0008cd025ce10fa4bf658c79dffceaa3ad314643834f125c8ace2bf76d1ea54d2dc42db9",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5ce10f,78bba1,...)))}",
      "address": "9fDxzGJt4nXT7KuVbNr45gFaNnBPwz2yg16kTyMsVts1LdEUky2",
      "assets": [
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          "decimals": 9,
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          "index": 2,
          "amount": 2981458,
          "name": "GluonW GAUC",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "4d887f843ec3fd4a2affa2bc1890d912ac97e12869865730ea3accc31e7a6027",
      "mainChain": true
    },
    {
      "boxId": "bbbdea2bb0744342dccb03c897c1024c96695a506ac2d423ae0e75df98ddbdcf",
      "transactionId": "227438b5aaa6db600476ad3c63fba3258c3752afcc5046deb48d2ebdef440a1e",
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      "index": 2,
      "globalIndex": 48611618,
      "creationHeight": 1553549,
      "settlementHeight": 1557248,
      "ergoTree": "0008cd03bdb0b78bd28ee69b0f62e3692abf3c95df8aac72d52086949871f9d3a337b467",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bdb0b7,ad001f,...)))}",
      "address": "9huM5LVa7b8uAUGgzDGDCHUdRe4L1j4SQ6kHXC1JVVbL1RSNCmd",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "7150b6ab16f71b464a7319d5e8dc5c6dc13d12567a9ac31a9591ace0ca3292d0",
      "transactionId": "227438b5aaa6db600476ad3c63fba3258c3752afcc5046deb48d2ebdef440a1e",
      "blockId": "fa543829fe5611ab81467d5c173781e827454ed25b8a7531ce2a848e7061a455",
      "value": 1000000,
      "index": 3,
      "globalIndex": 48611619,
      "creationHeight": 1553549,
      "settlementHeight": 1557248,
      "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": "f3c6d3aec86bc4602a114e1b5a6170484a77e985eb01acffcaa6550679fbe5c0",
      "mainChain": true
    }
  ],
  "size": 3623,
  "isUnconfirmed": false
}