Ad
Inputs (1)
Output transaction:
Settlement height:
Value:
0.679035751 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.0218 ERG
Tokens:
Spent in transaction:
Settlement height:
Value:
0.0022 ERG
Spent in transaction:
Settlement height:
Value:
0.655035751 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 4.61 KB
Received time: 4/4/2026 03:11:27 PM
Included in blocks: 1,756,781
Confirmations: 3,580
Total coins transferred: 0.679035751 ERG
Fees: 0.0022 ERG
Fees per byte: 0.000000466 ERG
Raw Transaction Data
{
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  "inclusionHeight": 1756781,
  "timestamp": 1775315487500,
  "index": 7,
  "globalIndex": 10546273,
  "numConfirmations": 3580,
  "inputs": [
    {
      "boxId": "9864f4678f54fb24c2c2529820291e4ab1fa22a88258537febdb6f247f22fa74",
      "value": 679035751,
      "index": 0,
      "spendingProof": "012a766ad8e7cf8201ea1fc3c1674744c5a4377bdfed37dde3f9a2395caa5e805d94621cc5db0e1e8a2cd3a3b9ccf809e0a5f2d04f6b1d92",
      "outputBlockId": "d72505594c0daab217ff119bf2c6d0af255f354ba4627035b7c316ebe9dce516",
      "outputTransactionId": "c14b6bc31b2fc1798ae979753470a3226eaa29c81a88996ee664541b62acc0e8",
      "outputIndex": 2,
      "outputGlobalIndex": 54528877,
      "outputCreatedAt": 1756777,
      "outputSettledAt": 1756779,
      "ergoTree": "0008cd02795f3b7a0ebae08365c6a3a4e82cad02fb51c7b0e13d53026d695a5ff9287f73",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(795f3b,350403,...)))}",
      "address": "9fSWoM7h4mnQBJXzKAaGrVtB6qaQevmB7cZEjEVEAVgTKnYAF6P",
      "assets": [
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      ],
      "additionalRegisters": {}
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  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "b9c7fe6d375e001f833fe3c4a38cadbf57366b8ce003925c3a9fe81217764932",
      "transactionId": "bb8b293f25f1f8a28553b4a82276d96ecfda55f25211d41a7b4c576c8d46b52b",
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      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 8\n5: 7\n6: Coll(-22,123,54,-30,-108,-79,-87,84,-88,7,82,-22,-62,-120,113,23,40,-27,-71,27,11,60,5,-106,84,-116,117,86,101,5,11,-120)\n7: 0\n8: Coll(-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105)\n9: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n10: 10\n11: 4\n12: 6\n13: 1000000\n14: false\n15: 5\n16: 0\n17: 2\n18: 1\n19: 9\n20: 1\n21: 1\n22: 0\n23: 1\n24: 3\n25: 720\n26: 1\n27: 0\n28: 0\n29: 1\n30: 0\n31: 1\n32: 2\n33: 1\n34: 3\n35: 0\n36: 1000000\n37: 0\n38: 0\n39: 0\n40: 17\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 1000\n50: 100\n51: 1000\n52: 0\n53: 100\n54: 0\n55: 2\n56: 0\n57: 17\n58: 0\n59: 1000000\n60: 0\n61: 1\n62: 2\n63: 17\n64: 0\n65: 17\n66: 1000000\n67: 0\n68: 3\n69: 2000000\n70: 1\n71: 1\n72: 1\n73: 1\n74: 2\n75: 1\n76: 1000000\n77: 0\n78: 1\n79: 2\n80: 1\n81: 0\n82: false\n83: 1\n84: 3\n85: 11\n86: 11\n87: 0\n88: 0\n89: 1\n90: 1000000\n91: 1000000\n92: 1\n93: 1000000\n94: 1\n95: 12\n96: 12\n97: 0\n98: Coll(16,17,4,0,4,0,4,0,4,0,4,0,5,0,4,2,14,32,-91,91,-121,53,-19,26,-103,-28,108,44,-119,-8,-103,74,-84,-33,75,17,9,-67,-49,104,47,30,91,52,71,-100,110,57,38,105,4,0,4,2,5,-48,15,5,0,5,0,1,1,5,0,4,4,1,1,-40,12,-42,1,-78,-37,99,8,-89,115,0,0,-42,2,-78,-91,115,1,0,-42,3,-37,99,8,114,2,-42,4,-107,-19,-111)\n99: Coll(16,17,4,0,4,0,4,0,4,0,4,0,5,0,4,2,14,32,3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4,4,0,4,2,5,-48,15,5,0,5,0,1,1,5,0,4,4,1,1,-40,12,-42,1,-78,-37,99,8,-89,115,0,0,-42,2,-78,-91,115,1,0,-42,3,-37,99,8,114,2,-42,4,-107,-19,-111)\n100: 0\n101: 0\n102: 1000000\n103: false\n104: 0\n105: 0\n106: 0\n107: 0\n108: 0\n109: 1000000\n110: 1000000\n111: 0\n112: 0\n113: 1000\n114: 0\n115: 17\n116: 0\n117: 17\n118: 2\n119: 1\n120: 2\n121: 0\n122: true\n123: 1\n124: 2\n125: 0\n126: true\n127: false\n128: 1\n129: 0\n130: 1\n131: 0\n132: 0\n133: 0\n134: 0\n135: 1000000\n136: 0\n137: Coll(49,-126,103,79,7,-37,-71,-115,105,109,56,-19,-91,62,99,-21,59,-11,-2,87,15,113,-34,-24,94,-71,84,-42,-49,-112,59,-70)\n138: 0\n139: 0\n140: 0\n141: true\n142: false\n143: 2\n144: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.R9[Coll[Coll[Byte]]].get\n  val prop2 = proveDlog(decodePoint(coll1(placeholder[Int](0))))\n  val coll3 = SELF.tokens\n  val tuple4 = (Coll[Byte](), placeholder[Long](1))\n  val tuple5 = coll3.getOrElse(placeholder[Int](2), tuple4)\n  val coll6 = tuple5._1\n  val coll7 = SELF.R7[Coll[Byte]].get\n  val bool8 = coll6 == coll7\n  val bool9 = !bool8\n  val box10 = OUTPUTS(placeholder[Int](3))\n  val coll11 = box10.propositionBytes\n  val coll12 = prop2.propBytes\n  val coll13 = SELF.R8[Coll[Long]].get\n  val l14 = coll13(placeholder[Int](4))\n  val l15 = coll13(placeholder[Int](5))\n  val coll16 = placeholder[Coll[Byte]](6)\n  val l17 = coll13(placeholder[Int](7))\n  val coll18 = placeholder[Coll[Byte]](8)\n  val coll19 = placeholder[Coll[Byte]](9)\n  val l20 = coll13(placeholder[Int](10))\n  val l21 = coll13(placeholder[Int](11))\n  val l22 = coll13(placeholder[Int](12))\n  val l23 = l22 + placeholder[Long](13)\n  val coll24 = SELF.R5[Coll[Byte]].get\n  val bool25 = if (coll11 == SELF.propositionBytes) {\n    (\n      (\n        (((box10.value >= l23) && (box10.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)) && (box10.R5[Coll[Byte]].get == coll24)) && (\n          box10.R6[Coll[Byte]].get == SELF.R6[Coll[Byte]].get\n        )\n      ) && (box10.R8[Coll[Long]].get == coll13)\n    ) && (box10.R9[Coll[Coll[Byte]]].get == coll1)\n  } else { placeholder[Boolean](14) }\n  val coll26 = SELF.id\n  val l27 = coll13(placeholder[Int](15))\n  val coll28 = box10.tokens\n  val tuple29 = coll28.getOrElse(placeholder[Int](16), tuple4)\n  val coll30 = tuple29._1\n  val l31 = coll13(placeholder[Int](17))\n  val tuple32 = coll28.getOrElse(placeholder[Int](18), tuple4)\n  val l33 = tuple5._2\n  val l34 = tuple29._2\n  val coll35 = tuple32._1\n  val l36 = coll13(placeholder[Int](19))\n  val box37 = OUTPUTS(placeholder[Int](20))\n  val coll38 = box37.tokens\n  val bool39 = bool8 && (l33 == placeholder[Long](21))\n  val i40 = coll13.size\n  val tuple41 = coll38.getOrElse(placeholder[Int](22), tuple4)\n  val tuple42 = coll3.getOrElse(placeholder[Int](23), tuple4)\n  val l43 = HEIGHT.toLong\n  val l44 = coll13(placeholder[Int](24))\n  val l45 = l44 + placeholder[Long](25)\n  val bool46 = if (coll13(placeholder[Int](26)) == placeholder[Long](27)) { (bool39 && (l43 >= l44)) && (l43 <= l45) } else { bool39 && (l43 <= l45) }\n  val l47 = INPUTS.fold(placeholder[Long](28), {(tuple47: (Long, Box)) =>\n      val box49 = tuple47._2\n      val l50 = tuple47._1\n      if (box49.id != coll26) { box49.tokens.fold(l50, {(tuple51: (Long, (Coll[Byte], Long))) =>\n            val tuple53 = tuple51._2\n            val l54 = tuple51._1\n            if (tuple53._1 == coll7) { l54 + tuple53._2 } else { l54 }\n          }) } else { l50 }\n    })\n  val bool48 = ((bool25 && (box10.R7[Coll[Byte]].get == coll7)) && \n      val coll48 = coll30\n      coll48 == coll6\n    ) && (l34 == placeholder[Long](29))\n  val bool49 = OUTPUTS.fold(placeholder[Long](30), {(tuple49: (Long, Box)) => tuple49._2.tokens.fold(tuple49._1, {(tuple51: (Long, (Coll[Byte], Long))) =>\n          val tuple53 = tuple51._2\n          val l54 = tuple51._1\n          if (tuple53._1 == coll7) { l54 + tuple53._2 } else { l54 }\n        }) }) == placeholder[Long](31)\n  val l50 = tuple32._2\n  prop2 && sigmaProp((bool9 && (OUTPUTS.size == placeholder[Int](32))) && (coll11 == coll12)) || sigmaProp(\n    (((if ((bool9 && (INPUTS.size == placeholder[Int](33))) && (OUTPUTS.size == placeholder[Int](34))) {(\n            val bool51 = l14 == placeholder[Long](35)\n            val l52 = l21 * l20 / placeholder[Long](36)\n            val bool53 = l52 > placeholder[Long](37)\n            ((((((((((if (bool51) {(\n                                  val box54 = CONTEXT.dataInputs(placeholder[Int](38))\n                                  val i55 = l15.toInt\n                                  val l56 = box54.R5[Coll[Long]].get(i55)\n                                  val bool57 = box54.tokens(placeholder[Int](39))._1 == coll16\n                                  val coll58 = box54.R4[Coll[Coll[Byte]]].get(i55)\n                                  if (l15 == placeholder[Long](40)) { bool57 && (l56 > placeholder[Long](41)) } else { if (l17 == placeholder[Long](42)) { ((bool57 && (coll58.size > placeholder[Int](43))) && (l56 > placeholder[Long](44))) && (coll3(placeholder[Int](45))._1 == coll58) } else { (bool57 && (coll58.size > placeholder[Int](46))) && (l56 > placeholder[Long](47)) } }\n                                )} else {(\n                                  val coll54 = coll3(placeholder[Int](48))._1\n                                  (coll54 == coll18) || (coll54 == coll19)\n                                )} && if (bool51) { (l20 == placeholder[Long](49)) || (l20 == placeholder[Long](50)) } else { ((l20 == placeholder[Long](51)) && (coll3(placeholder[Int](52))._1 == coll18)) || ((l20 == placeholder[Long](53)) && (coll3(placeholder[Int](54))._1 == coll19)) }) && bool53) && bool25) && (box10.R7[Coll[Byte]].get == coll26)) && (box10.value == SELF.value - l22 - l27)) && (box10.value >= placeholder[Long](55) * l23)) && (coll30 == coll26)) && \n                    val bool54 = l17 == placeholder[Long](56)\n                    (((((bool54 && bool51) && (l15 != placeholder[Long](57))) && \n                            val l55 = l31 * CONTEXT.dataInputs(placeholder[Int](58)).R5[Coll[Long]].get(l15.toInt) / placeholder[Long](59)\n                            ((((l55 > placeholder[Long](60)) && \n                                    val coll56 = coll35\n                                    coll56 == coll24\n                                  ) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](61))) && (coll28.size == placeholder[Int](62))\n                          ) || (((bool54 && bool51) && (l15 == placeholder[Long](63))) && \n                            val l55 = l31 * CONTEXT.dataInputs(placeholder[Int](64)).R5[Coll[Long]].get(placeholder[Int](65)) / placeholder[Long](66)\n                            val l56 = SELF.value\n                            (((l55 > placeholder[Long](67)) && (l34 == l56 - placeholder[Long](68) * l22 - l27 - placeholder[Long](69) / l55 + placeholder[Long](70))) && (coll28.size == placeholder[Int](71))) && (box10.value >= l56 - l22 - l27)\n                          )) || (((((((l17 == placeholder[Long](72)) && bool51) && (coll35 == coll24)) && (tuple32 == tuple5)) && bool53) && (l34 == l33 / l52 + placeholder[Long](73))) && (coll28.size == placeholder[Int](74)))) || ((l14 == placeholder[Long](75)) && \n                        val l55 = l36 * l20 / placeholder[Long](76)\n                        ((((l55 > placeholder[Long](77)) && (coll35 == coll24)) && (tuple32 == tuple5)) && (l34 == l33 / l55 + placeholder[Long](78))) && (coll28.size == placeholder[Int](79))\n                      )\n                  ) && (box37.propositionBytes == coll1(placeholder[Int](80)))) && (coll38.size == placeholder[Int](81))) && (box37.value >= l27)\n          )} else { placeholder[Boolean](82) } || if (((bool8 && (!bool39)) && (INPUTS.size == placeholder[Int](83))) && (OUTPUTS.size == placeholder[Int](84))) {(\n            val bool51 = if (i40 > placeholder[Int](85)) { coll13(placeholder[Int](86)) } else { placeholder[Long](87) } == placeholder[Long](88)\n            val bool52 = (tuple41._1 == coll6) && (tuple41._2 == l33 - placeholder[Long](89))\n            val bool53 = (((((box10.value == SELF.value - l22 - if (bool51) { placeholder[Long](90) } else { placeholder[Long](91) + l22 }) && bool25) && (box10.R7[Coll[Byte]].get == coll7)) && (coll30 == coll6)) && (l34 == placeholder[Long](92))) && (tuple32 == tuple42)\n            if (bool51) { (((bool53 && bool52) && (box37.propositionBytes == coll12)) && (box37.value == placeholder[Long](93))) && (coll38.size == placeholder[Int](94)) } else {(\n              val coll54 = box37.propositionBytes\n              val l55 = if (i40 > placeholder[Int](95)) { coll13(placeholder[Int](96)) } else { placeholder[Long](97) }\n              ((((bool53 && bool52) && ((coll54 == placeholder[Coll[Byte]](98)) || (coll54 == placeholder[Coll[Byte]](99)))) && (box37.R4[SigmaProp].get == prop2)) && ((box37.R5[Coll[Long]].get(placeholder[Int](100)) == l55) && (l55 > placeholder[Long](101)))) && (box37.value >= placeholder[Long](102) + l22)\n            )}\n          )} else { placeholder[Boolean](103) }) || if ((bool46 && (l14 == placeholder[Long](104))) && (l47 > placeholder[Long](105))) {(\n          val box51 = CONTEXT.dataInputs(placeholder[Int](106))\n          val i52 = l15.toInt\n          val l53 = box51.R5[Coll[Long]].get(i52)\n          val bool54 = l53 > placeholder[Long](107)\n          val bool55 = box51.tokens(placeholder[Int](108))._1 == coll16\n          val l56 = l31 * l53 / placeholder[Long](109)\n          val l57 = l21 * l20 / placeholder[Long](110)\n          val bool58 = (l56 > placeholder[Long](111)) && (l57 > placeholder[Long](112))\n          val l59 = l56 * l47\n          val coll60 = if (l20 == placeholder[Long](113)) { coll18 } else { coll19 }\n          val l61 = l57 * l47\n          val coll62 = box51.R4[Coll[Coll[Byte]]].get(i52)\n          val bool63 = (coll62.size > placeholder[Int](114)) || (l15 == placeholder[Long](115))\n          if (l17 == placeholder[Long](116)) { if (l15 == placeholder[Long](117)) {(\n              val box64 = OUTPUTS(placeholder[Int](118))\n              ((((((bool55 && bool54) && bool58) && (box37.value >= l59)) && ((box64.propositionBytes == coll12) && box64.tokens.exists({(tuple65: (Coll[Byte], Long)) => (tuple65._1 == coll60) && (tuple65._2 >= l61) }))) && bool48) && bool49) && (box10.value >= SELF.value - l59 - l22)\n            )} else {(\n              val tuple64 = coll3(placeholder[Int](119))\n              val box65 = OUTPUTS(placeholder[Int](120))\n              ((((((((((bool55 && bool63) && bool54) && bool58) && (tuple64._1 == coll62)) && coll38.exists({(tuple66: (Coll[Byte], Long)) => (tuple66._1 == coll62) && (tuple66._2 >= l59) })) && ((box65.propositionBytes == coll12) && box65.tokens.exists({(tuple66: (Coll[Byte], Long)) => (tuple66._1 == coll60) && (tuple66._2 >= l61) }))) && if (l50 > placeholder[Long](121)) { coll35 == coll62 } else { placeholder[Boolean](122) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple64._2 - l59)\n            )} } else {(\n            val tuple64 = coll3(placeholder[Int](123))\n            val coll65 = tuple64._1\n            val box66 = OUTPUTS(placeholder[Int](124))\n            ((((((((((bool55 && bool63) && bool54) && bool58) && ((coll65 == coll18) || (coll65 == coll19))) && coll38.exists({(tuple67: (Coll[Byte], Long)) => (tuple67._1 == coll65) && (tuple67._2 >= l61) })) && ((box66.propositionBytes == coll12) && box66.tokens.exists({(tuple67: (Coll[Byte], Long)) => (tuple67._1 == coll62) && (tuple67._2 >= l59) }))) && if (l50 > placeholder[Long](125)) { coll35 == coll65 } else { placeholder[Boolean](126) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple64._2 - l61)\n          )}\n        )} else { placeholder[Boolean](127) }) || if ((bool46 && (l14 == placeholder[Long](128))) && (l47 > placeholder[Long](129))) {(\n        val tuple51 = coll3(placeholder[Int](130))\n        val coll52 = tuple51._1\n        val box53 = CONTEXT.dataInputs(placeholder[Int](131))\n        val l54 = box53.R8[Coll[Long]].get(l15.toInt)\n        val l55 = if (l17 == placeholder[Long](132)) { if (l54 > l21) {(\n            val l55 = l54 - l21\n            if (l55 > l36) { l36 } else { l55 }\n          )} else { placeholder[Long](133) } } else { if (l54 < l21) {(\n            val l55 = l21 - l54\n            if (l55 > l36) { l36 } else { l55 }\n          )} else { placeholder[Long](134) } }\n        val l56 = l55 * l20 / placeholder[Long](135)\n        val l57 = l56 * l47\n        ((((((((((coll52 == coll18) || (coll52 == coll19)) && (box53.tokens(placeholder[Int](136))._1 == placeholder[Coll[Byte]](137))) && (l55 > placeholder[Long](138))) && (l56 > placeholder[Long](139))) && coll38.exists({(tuple58: (Coll[Byte], Long)) => (tuple58._1 == coll52) && (tuple58._2 >= l57) })) && if (l50 > placeholder[Long](140)) { coll35 == coll52 } else { placeholder[Boolean](141) }) && bool48) && bool49) && (box10.value >= SELF.value - l22)) && (l50 >= tuple51._2 - l57)\n      )} else { placeholder[Boolean](142) }) || if (l43 > l45) {\n      ((((OUTPUTS.size == placeholder[Int](143)) && (coll11 == coll12)) && (box10.value >= SELF.value - l22)) && (coll30 == tuple42._1)) && (l34 == tuple42._2)\n    } else { placeholder[Boolean](144) }\n  )\n}",
      "address": "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",
      "assets": [
        {
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          "decimals": 6,
          "type": "EIP-004"
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      "additionalRegisters": {
        "R5": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297"
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          "renderedValue": "30"
        },
        "R8": {
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          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,1,1000000,1757140,240000,10000000,2200000,4,0,240000,100,0,0]"
        },
        "R7": {
          "serializedValue": "0e200000000000000000000000000000000000000000000000000000000000000000",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0000000000000000000000000000000000000000000000000000000000000000"
        },
        "R9": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "4144412043616c6c2024302e3234"
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      },
      "spentTransactionId": "04a9e10a99295c2b07b69d1c975b4ece4d8de5b07849d5140ca68ba3bcb81e7a",
      "mainChain": true
    },
    {
      "boxId": "4a509806399a2c8b53d4ea0646376f3d4af7b729501a5534eb91fb4f36c4de66",
      "transactionId": "bb8b293f25f1f8a28553b4a82276d96ecfda55f25211d41a7b4c576c8d46b52b",
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      "index": 1,
      "globalIndex": 54528918,
      "creationHeight": 1756780,
      "settlementHeight": 1756781,
      "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)}",
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      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "63d74abf05f86f3da7d0fb186947718f4b8aebe17cd7d53b4d5b0c37d4ef70fd",
      "mainChain": true
    },
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      "index": 2,
      "globalIndex": 54528919,
      "creationHeight": 1756780,
      "settlementHeight": 1756781,
      "ergoTree": "0008cd02795f3b7a0ebae08365c6a3a4e82cad02fb51c7b0e13d53026d695a5ff9287f73",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(795f3b,350403,...)))}",
      "address": "9fSWoM7h4mnQBJXzKAaGrVtB6qaQevmB7cZEjEVEAVgTKnYAF6P",
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