Ad
Inputs (4)
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
29,151.29
Output transaction:
Settlement height:
Value:
2.39 ERG
Tokens:
Loading assets...
Outputs (6)
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent in transaction:
Settlement height:
Value:
2.3 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 6.9 KB
Received time: 11/15/2024 03:55:03 PM
Included in blocks: 1,396,339
Confirmations: 366,172
Total coins transferred: 3.4 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000333 ERG
Raw Transaction Data
{
  "id": "085d936bc16154826697c12ccaf13eb2390fec769f4c4843b7b4af3fe87fef08",
  "blockId": "ec387b01c5ec9294ee65523938ccb7f3a6efd7c5a8373e5cf53d7e5bed2c3aab",
  "inclusionHeight": 1396339,
  "timestamp": 1731686103712,
  "index": 90,
  "globalIndex": 8062588,
  "numConfirmations": 366172,
  "inputs": [
    {
      "boxId": "e08313650c947b2ee20edd20e9ff96a0065b7abbcf930e1257db251cfc0b00cf",
      "value": 1000000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "5aa53a500a8dfbfe0ddd76c2682c04253f81b6c80267d6e14980143479263217",
      "outputTransactionId": "145e6ffe5f324f352cbe99f3c1a951fd87dc1462d2ce0071972f5332669699ab",
      "outputIndex": 0,
      "outputGlobalIndex": 43916409,
      "outputCreatedAt": 1396329,
      "outputSettledAt": 1396331,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
      "ergoTreeScript": "{\n  val coll1 = Coll[Byte](\n    -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n  )\n  val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n  val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n    tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n  }\n  val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n  val opt5 = getVar[Coll[Byte]](1.toByte)\n  val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n  val func7 = {(box7: Box) => box7.tokens(0) }\n  val tuple8 = func7(SELF)\n  val box9 = func3((OUTPUTS, tuple8._1))(0)\n  val func10 = {(box10: Box) => box10.tokens(1) }\n  val func11 = {(coll11: Coll[Byte]) =>\n    val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n    allOf(\n      Coll[Boolean](\n        {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n          (INPUTS, func6(coll13(1)))\n        ).size == 1, {(coll14: Coll[Byte]) =>\n          allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n        }(func6(coll13(0)))\n      )\n    )\n  }\n  val b12 = getVar[Byte](0.toByte).get\n  val i13 = INPUTS.indexOf(SELF, 0)\n  val func14 = {(l14: Long) =>\n    if (l14 < 128L) { 1 } else {\n      if (l14 < 16384L) { 2 } else {\n        if (l14 < 2097152L) { 3 } else {\n          if (l14 < 268435456L) { 4 } else {\n            if (l14 < 34359738368L) { 5 } else {\n              if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n            }\n          }\n        }\n      }\n    }\n  }\n  sigmaProp(\n    anyOf(\n      Coll[Boolean](\n        {(b15: Byte) =>\n          if (b15 == 0.toByte) {\n            func11(\n              Coll[Byte](\n                3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 2.toByte) {\n            func11(\n              Coll[Byte](\n                -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 1.toByte) {\n            func11(\n              Coll[Byte](\n                -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 3.toByte) {\n            func11(\n              Coll[Byte](\n                79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 4.toByte) {\n            func11(\n              Coll[Byte](\n                -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 5.toByte) {\n            func11(\n              Coll[Byte](\n                58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 6.toByte) {\n            func11(\n              Coll[Byte](\n                9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n                val box19 = OUTPUTS(i13)\n                val l20 = box19.value\n                val l21 = SELF.value\n                val coll22 = box19.propositionBytes\n                val coll23 = SELF.bytesWithoutRef\n                val coll24 = SELF.propositionBytes\n                val i25 = SELF.creationInfo._1\n                val coll26 = box19.bytesWithoutRef\n                val i27 = box19.creationInfo._1\n                allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n              )} }((coll1, box4)) } else { false } }(b12)\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
          "index": 0,
          "amount": 1,
          "name": "Paideia Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 1,
          "amount": 62597598703,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110780e8a6f2e764dcb7dcb1d2031e0eeec6a3bab4020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1731931200000,62597598702,15,7,41400168887,0,0]"
        },
        "R6": {
          "serializedValue": "1d0501c2e984b6dd020108019af68e983401140114",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[46898649697],[4],[7004609933],[10],[10]]"
        },
        "R8": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R7": {
          "serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000fa9a547bbbadfdd83a7d95ab64e775845fe5b0670109b97a4b39d1e541bb50e903072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R4": {
          "serializedValue": "0c640237450dd621260c778f8bcd355c07b25aacc57315391a226c8c7007ca76dd9a58050720004d6eda216ba8ea4330cb011dc0aa51ba4238904c8e54092083aa3bcf0184aedd03072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    },
    {
      "boxId": "bcde615db4613c97133be7593729441ffaedde27d45422530cad4156c7117424",
      "value": 1000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "18bdec77f3c397fd5685e740a843f28c9da13636a0e35d600d8483c071bafb5a",
      "outputTransactionId": "d317e6058b7fc724a85b77159ce1cb4f5b5361fb3ce64a8a505366fc635ef93b",
      "outputIndex": 1,
      "outputGlobalIndex": 43913771,
      "outputCreatedAt": 1396287,
      "outputSettledAt": 1396289,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
      "ergoTreeScript": "{\n  val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n    tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n  }\n  val coll2 = placeholder[Coll[Byte]](1)\n  val box3 = func1((OUTPUTS, coll2))(0)\n  val box4 = func1((INPUTS, coll2))(0)\n  val func5 = {(box5: Box) =>\n    val coll7 = box5.tokens\n    coll7.slice(2, coll7.size)\n  }\n  val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n  val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n  val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n  val func9 = {(box9: Box) =>\n    val coll11 = box9.R5[Coll[Long]].get\n    coll11.slice(5, coll11.size)\n  }\n  val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n  val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n  val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n  val coll13 = INPUTS(0).id\n  val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n  val tuple15 = coll14(0)\n  val coll16 = tuple15._2\n  val l17 = {(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(8, 16)) }(coll16)\n  val func18 = {(box18: Box) => box18.tokens(1) }\n  val func19 = {(box19: Box) => box19.R5[Coll[Long]].get(1) }\n  val func20 = {(box20: Box) => box20.R4[Coll[AvlTree]].get(0) }\n  val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(2) }\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        allOf(\n          Coll[Boolean](\n            box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(\n              box4\n            ), true, func9(box3) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4)\n          )\n        ), coll13 == tuple15._1, {(tuple22: (Coll[Box], Coll[Byte])) =>\n          tuple22._1.flatMap({(box24: Box) => box24.tokens }).fold(0L, {(tuple24: (Long, (Coll[Byte], Long))) =>\n              val tuple26 = tuple24._2\n              tuple24._1 + if (tuple26._1 == tuple22._2) { tuple26._2 } else { 0L }\n            })\n        }((OUTPUTS, coll13)) == 1L, (l17 == func18(box3)._2 - func18(box4)._2) && (l17 == func19(box3) - func19(box4)), coll14.size == 1, func20(box4).insert(\n          coll14, getVar[Coll[Byte]](2.toByte).get\n        ).get.digest == func20(box3).digest, {(coll22: Coll[Byte]) => coll22.slice(0, coll22.size - 16 / 8).indices.map({(i24: Int) =>\n              val i26 = i24 * 8\n              byteArrayToLong(coll22.slice(i26 + 16, i26 + 8 + 16))\n            }) }(coll16).forall({(l22: Long) => l22 == 0L }), {(tuple22: (Coll[Box], Coll[Byte])) =>\n          tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 })\n        }(\n          (\n            OUTPUTS, {(opt22: Option[Coll[Byte]]) => opt22.get.slice(1, 33) }(\n              {(box22: Box) => box22.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n                Coll[Coll[Byte]](\n                  Coll[Byte](\n                    3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n                  )\n                ), getVar[Coll[Byte]](0.toByte).get\n              )(0)\n            )\n          )\n        )(0).value >= SELF.value, func21(box4) + 1L == func21(box3), {(coll22: Coll[Byte]) => byteArrayToLong(coll22.slice(0, 8)) }(coll16) == 0L\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "6e8d6580f882ca36fc709abc0721383af6de0daae17c6139f90c832059a4fbcb",
      "value": 10000000,
      "index": 2,
      "spendingProof": "7c2f0b4a1d4dff5df48553cc8940d2d4512f6250a6632051eed3091f843fb6faa03db88f5fd1b82342448c1770afb624ace729c55fb8bd17",
      "outputBlockId": "df622c18b8a99ce53252e2d191584bd7d7cbd8549ad594cb70fbc16797946b52",
      "outputTransactionId": "d96e3757881f111a168450b62c428a4cc5399d7380f8ab0869a766c76f6a4cf7",
      "outputIndex": 1,
      "outputGlobalIndex": 43910078,
      "outputCreatedAt": 1396236,
      "outputSettledAt": 1396238,
      "ergoTree": "0008cd030dd3cb3710229d4104ed0bfceea4c30b450337788b8d07501e25c7de11b4c39e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dd3cb3,6a1b49,...)))}",
      "address": "9gZttg88EpGmgP1FZAAK94wjBF7tNxd1GTyPpybcinnDFDzgRWd",
      "assets": [
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 0,
          "amount": 291512928,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "735f96e36ab0408df834240a7b67a07adbd6aeca1e08ed4e1282a4badb2b4a0b",
      "value": 2391049842,
      "index": 3,
      "spendingProof": "e268bd6a2300ddca6148be93bcb74e2b138d58581b64b2238672f00cf31cca2ffc7cc723a6ee5533ff1eed7a0c0c679ede98d090a1be0528",
      "outputBlockId": "d0e50927e0f9944469483314bde5348c2a9ebbfae6b1fd66c43db035aa7c34af",
      "outputTransactionId": "f3315b1696997a73a64f7cfcbc75af935e88c045c98f501345f8417d30a1384e",
      "outputIndex": 2,
      "outputGlobalIndex": 43910123,
      "outputCreatedAt": 1396237,
      "outputSettledAt": 1396239,
      "ergoTree": "0008cd030dd3cb3710229d4104ed0bfceea4c30b450337788b8d07501e25c7de11b4c39e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dd3cb3,6a1b49,...)))}",
      "address": "9gZttg88EpGmgP1FZAAK94wjBF7tNxd1GTyPpybcinnDFDzgRWd",
      "assets": [
        {
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          "decimals": 0,
          "type": "EIP-004"
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        {
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          "type": "EIP-004"
        },
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          "decimals": 0,
          "type": "EIP-004"
        },
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          "name": "[CyberVerse] FOMO Emote",
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        {
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          "index": 33,
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          "name": "BUNS",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "509df2a254d21736b82824dfb2e1b3b32324a0e7a840da314af98a4241a49ec0",
          "index": 34,
          "amount": 1,
          "name": "[CyberVerse] Like Emote",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ccaac3de4098aa63de90c56973bb1bff7563e8c58594b2075dd04005dac13ae6",
          "index": 35,
          "amount": 17271739594,
          "name": "KETCHUP",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "735ed73a56e0f069483f74e6e57eb4757350415b7e0c95e0e11e1bcfa441917d",
          "index": 36,
          "amount": 1,
          "name": "Cybercitizen #3282",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "abf72e2f13c62a3e5b496a3645fd8e8bf7e957403c1dd0204726809c5016cbbb",
          "index": 37,
          "amount": 1,
          "name": "Cybercitizen #6741",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "2e5891857c2a7193d3ec4a0f2ff25d5e2d67e6ff7bf2051da43f90d56c3feae6",
          "index": 38,
          "amount": 1,
          "name": "ErgoLlama #107",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "6edf45d1e35e68430f13bbfc5904686451a54ad739c1a792bf4c1083413b1d92",
          "index": 39,
          "amount": 1,
          "name": "CyberPet #179",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 40,
          "amount": 759269280,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "930243bcf1b1f51bf3579f23c0887c68444d0bf19104043ff53f9408dcc4d4d2",
          "index": 41,
          "amount": 1,
          "name": "Trailblazer",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "aae764ba306d164a200ad1cb1af947852ddc896a826a5fe71560a6e9b7066d30",
          "index": 42,
          "amount": 10,
          "name": "Hypermagnetic",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "516d4e0ce69c1821de5edf72276988e03c5947be70c68ca2c1cf267f3a57152a",
          "index": 43,
          "amount": 1,
          "name": "[CyberVerse] Vomit Emote",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "79c6487bd58e1d4a7f49d6bce3dc968a9666ae8b7fc45e24e6fe0f2700130685",
          "index": 44,
          "amount": 1,
          "name": "Hashrun",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d2b31e0a280ca781a089222be5dc33154678fa9a22cc95fd177e23e05de15d19",
          "index": 45,
          "amount": 1,
          "name": "ErgoLlama #108",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "012c74dcd0920ce0c3f9f3945d509ea07b33872f3f144b816bcd7b664b22d5b3",
          "index": 46,
          "amount": 485593996,
          "name": "Troll",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "4703093818fdc46e27e96ef83680dbf254fc2960600cf900c15eb2aa266ce4f6",
          "index": 47,
          "amount": 1,
          "name": "Cybercitizen #657",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "843b5a2a0658550339c38f29827861fe459ce5206edaf17163113cccafc77af1",
          "index": 48,
          "amount": 470061034006342,
          "name": "GIF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "e63160a900d97f4f3f05f06ab2d8cf3ffdecd023379b9b58a5b48754d7e0ed39",
          "index": 49,
          "amount": 1,
          "name": "[Cyberia] Apartment #141",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "c42b7f6f920edf08e4ff5def13fad65475ac8f5016c551d34e8f510d587d5c6d",
          "index": 50,
          "amount": 1,
          "name": "ErgoLlama #109",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "f95e86c86d86bc4d1bb4a79c8ae3db15a2fdb61f9f3fdb8fdfbc31dfee7f582f",
          "index": 51,
          "amount": 1,
          "name": "Paideia Seed Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "391324cc8101c130d162f128cb95330656dd09c9679d0c9af6cdb9829998eab3",
          "index": 52,
          "amount": 1,
          "name": "[CyberVerse] Censored Swear Words Emote",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1eb68d334e4e5a6630f9bcca37b39474ecc32b7384ace5f56681064c8faf3253",
          "index": 53,
          "amount": 1,
          "name": "Auction House Staker Round Vesting Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "709cd70fe626b0238bc5e7c0e284e6a548d07bc7dec3d8ebab3eb8249eec91c7",
          "index": 54,
          "amount": 1,
          "name": "Cybercitizen #8005",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "886b7721bef42f60c6317d37d8752da8aca01898cae7dae61808c4a14225edc8",
          "index": 55,
          "amount": 57684254,
          "name": "GluonW GAU",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "a4954c1d56afeb6879db15441f18a61aca13b690f0ae6f43294f2b2182b4e555",
          "index": 56,
          "amount": 1,
          "name": "ErgoLlama #105",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "bed8f85987da541d5bd915089b3dd4257440f977c91a5320daec0698590cc787",
          "index": 57,
          "amount": 1,
          "name": "CyberEgg #1039",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "64c8e0866c352d27a3346fa6ab17f947d8cebe6d01e45b8564773e0e64042a2e",
          "index": 58,
          "amount": 9000,
          "name": "Hopium",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ba25d53012410b0a0555f5b96a626c0e22d772627aa15b858c13589401255049",
          "index": 59,
          "amount": 13,
          "name": "Aurora of Dystopian World",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e911ecef4546b77a4f50fe50bcaeb804f3a4c9a4413dee67f3d60c6d5fa2e446",
          "index": 60,
          "amount": 5000000000000,
          "name": "$GIF_Public_Whitelist_Token",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "42ab443777fdb8f019eab9cdb27458e4193ededca004686c113a13fef12249e3",
          "index": 61,
          "amount": 1,
          "name": "[CyberVerse] Robot With Heart Eyes Emote",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "7c7ef8cc5cd714048067f84ab7813bc4b4bcf5179b9eb322b6b542b8fd3c7999",
          "index": 62,
          "amount": 1,
          "name": "Cybercitizen #5829",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "4ac4efc6ace0b29a10f06b9eeda27e4a13a888b7c9229db98bcfc65ddb8e1278",
          "index": 63,
          "amount": 1,
          "name": "Neon XMAS",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9ba5e67060c5cbace4959d1061cb57bd483090b308092bf2f5cc854900c8b903",
          "index": 64,
          "amount": 1,
          "name": "Cybercitizen #3303",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b77e8fc10faf1757b41d8fb010f56829d1a11af23c3ccf7fca9466e7c052ab7c",
          "index": 65,
          "amount": 1,
          "name": "ErgoLlama #052",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "58c3e215a1d1d63bda1ccbbea92d6e88c680b2c6b5606b9c9d4e263ad335f3e7",
          "index": 66,
          "amount": 1,
          "name": "Disco Fever",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "79c5d20aa64bf7608a714d516165bcb3991b4e55c9239407ca50e5ba8f6f2552",
      "value": 1000000000,
      "index": 0,
      "outputBlockId": "c86d5a5a0c51630cc9a369a60c05ad659e106e1b4ad240703468ff16ee597456",
      "outputTransactionId": "28a7d9c5ffb0350ac8dfa9d4d2b94d1b68836fd5896d04e3958db95802b5961d",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "64ed9d1be689a78f6a46a22fa3de3da4b5303e5189aece0f91ad8f5e384274c16a07072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "2573eb72b9856d62c73fbd2e6baecf22a4f8db9a3d3b8161d7e4590b8bcda11e",
      "transactionId": "085d936bc16154826697c12ccaf13eb2390fec769f4c4843b7b4af3fe87fef08",
      "blockId": "ec387b01c5ec9294ee65523938ccb7f3a6efd7c5a8373e5cf53d7e5bed2c3aab",
      "value": 1000000000,
      "index": 0,
      "globalIndex": 43917282,
      "creationHeight": 1396337,
      "settlementHeight": 1396339,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
      "ergoTreeScript": "{\n  val coll1 = Coll[Byte](\n    -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n  )\n  val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n  val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n    tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n  }\n  val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n  val opt5 = getVar[Coll[Byte]](1.toByte)\n  val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n  val func7 = {(box7: Box) => box7.tokens(0) }\n  val tuple8 = func7(SELF)\n  val box9 = func3((OUTPUTS, tuple8._1))(0)\n  val func10 = {(box10: Box) => box10.tokens(1) }\n  val func11 = {(coll11: Coll[Byte]) =>\n    val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n    allOf(\n      Coll[Boolean](\n        {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n          (INPUTS, func6(coll13(1)))\n        ).size == 1, {(coll14: Coll[Byte]) =>\n          allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n        }(func6(coll13(0)))\n      )\n    )\n  }\n  val b12 = getVar[Byte](0.toByte).get\n  val i13 = INPUTS.indexOf(SELF, 0)\n  val func14 = {(l14: Long) =>\n    if (l14 < 128L) { 1 } else {\n      if (l14 < 16384L) { 2 } else {\n        if (l14 < 2097152L) { 3 } else {\n          if (l14 < 268435456L) { 4 } else {\n            if (l14 < 34359738368L) { 5 } else {\n              if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n            }\n          }\n        }\n      }\n    }\n  }\n  sigmaProp(\n    anyOf(\n      Coll[Boolean](\n        {(b15: Byte) =>\n          if (b15 == 0.toByte) {\n            func11(\n              Coll[Byte](\n                3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 2.toByte) {\n            func11(\n              Coll[Byte](\n                -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 1.toByte) {\n            func11(\n              Coll[Byte](\n                -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 3.toByte) {\n            func11(\n              Coll[Byte](\n                79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 4.toByte) {\n            func11(\n              Coll[Byte](\n                -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 5.toByte) {\n            func11(\n              Coll[Byte](\n                58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 6.toByte) {\n            func11(\n              Coll[Byte](\n                9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n                val box19 = OUTPUTS(i13)\n                val l20 = box19.value\n                val l21 = SELF.value\n                val coll22 = box19.propositionBytes\n                val coll23 = SELF.bytesWithoutRef\n                val coll24 = SELF.propositionBytes\n                val i25 = SELF.creationInfo._1\n                val coll26 = box19.bytesWithoutRef\n                val i27 = box19.creationInfo._1\n                allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n              )} }((coll1, box4)) } else { false } }(b12)\n      )\n    )\n  )\n}",
      "address": "3bseGyneBTFGJrm7ueHQFcDckgh1hzMJL8avfTECXVZuTbMd8ED1EzqyB8YT5yVEpR4jMFj9JxcEMBmQoQ1jbMRH34SarPaaEnQmhX5M8K5hnwgP8xb1yAXowMsKcmS5n4t2n1yWHhAcCAcdfDJDhyzZrbToqy8o4uXRWyRm2sVy1mymUoXMrbnSRjkojNw9PTLyKPtT1VD3GScKyz8v8AhgTXT7LJvt2QLJJnoAReGRoL6vrYpz7934gMUdsmmxq99LRQoiayRBUvim8joSAFNQMWVvmoqzkfXc6mRFeFo1YXbaBEiwevrz3xrXiEtqUmf4UPAs4os8KNwjVwgAGUXrChA3jiFaQpecjyTzCEFQqCbXRShVvZUsnovbxRrDBndpLeoLM5taaqi9HRCgD2rV2mgrc6iq2d9ridyVLuSFXPXNCAZpZKqBw4hW7FcESsy1D84pxf8S5AKdgEwKXb1pE86F1TVzgcmbKhJMWmxk2k46EaUw43AfQR1p5Uf1BRQWd2nzGmNaGpZbxd9VoNDqstXuTei3TyTNDw7HnmawXEpmZggFaB1hi9qhrz5Wbyz1KP4znhsm8biLec9QrFfPuN5bkFCon2Jm6Y37xKpzX3dad3S7y5Kf8Zxo3rPUdqr5kVT7H91F3QJX67p7WoidR7Dr2LvLabUEa4wfVFvG8DA71ztAFX1daTNkyAEu7j4wQUUuBzmCC7MNFMXx3YKaPmpy7d3xKo88XzygRiZocW1QuDZmBcxhrYhyUpBRFzUrgDsjyfmWKi9HoWzdxrHhrrafE5xfPEaishpQEEV5MdXoCKLzgxZYAFTgRj38kiLLKFRXR74GrJWntdHvkULDdtye2G1SU3PA4Qub4C2XEMYgCPMRyT7J1ybd8aH254DRR3ecVK8y9qbps4JLgrnEdNWDWqQxzMqVXFJfejcdLjS1G3X5reRhHHBDn4fdvgpGT6eKxaavpKPGckyvPNhGZqVFCJPwzBKFtQk9Ntko7EcJCdNUDSL2KWrypwcvScqrEJXyUYPMpVMP8uugEwbKRoMvn6C8xUF9bjkx7v5smugVGTiuYNYgN1EjEPUw93W9FejBStQCFgoxY7b6q5jWMfScki3oDL3fscQS7ZJBu3GmwZGC5Am5Av4TDVXXY6Rw7dS9gipoudeBnKehFXqPeGyKFuYQ16HgzfAMXvp9MF2cVYTZBhHPcugbDVugaYTUSaPtKAihhHjCj8D4LZBxEB3Zun72DrUb9dwbK2vt7RYcAmULa9wz4FyvYcjrqBNnAB3GgWnCMFEWZh2vg6hgEcCKDo7Dd9f1jSqRfnPHakJ8JdCX2mHpzSzBaNsvgWFqab5uqUQpXTKh39igGvEgNRizzHLtLEJ7ioFTMuQHZ3JAHpdSESSGDnsPR7dZ6aQLjN4wa2rNsFTG6x3muDVcvKZWNyiT3DtK7cvoNEvW8Km7e3Uc3kywaZnFrvJAYqfWxZdHQ2pKJcjhs8maFGm9dYkTP39sQ9uFzECahFRqy6WNrcsVuucw66i6cgWtHAR5oomf89fqskYrr55PoqcnAETCCqaHA3wD8ccXjvzKJwgnFCLX2ypBeXBumGgciu9EaGkZ3LJcodf8grpvjmZgPoNZKqQRNzGycFGm21YHEcjk98VaBNDFd9vArSvTtWrqq4xZmaeusHtE52ddnZNDTmt5jvS6QAJ8bd4bKvomrZ6fDX1r9nHydMaJCfqMxyHPEJT7gtJFPmFKoRjv7n5xDSM5yy6RAK5jVKf1fTD2F3uLuVs4AdEvdYvBBW8HKkpAUS9QjQqQaFwE9pP8uwKr",
      "assets": [
        {
          "tokenId": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
          "index": 0,
          "amount": 1,
          "name": "Paideia Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 1,
          "amount": 63648379911,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110780e8a6f2e7648cd0e99bda03200eeec6a3bab4020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1731931200000,63648379910,16,7,41400168887,0,0]"
        },
        "R6": {
          "serializedValue": "1d0501c2e984b6dd020108019af68e983401140114",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[46898649697],[4],[7004609933],[10],[10]]"
        },
        "R8": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R7": {
          "serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000fa9a547bbbadfdd83a7d95ab64e775845fe5b0670109b97a4b39d1e541bb50e903072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R4": {
          "serializedValue": "0c64027ad72238532e8b7dca2cee8cbbb63e633e422f7cb9674965c7ef77886765fe6e050720004d6eda216ba8ea4330cb011dc0aa51ba4238904c8e54092083aa3bcf0184aedd03072000",
          "sigmaType": null,
          "renderedValue": null
        }
      },
      "spentTransactionId": "9f3b12d65c395b225161e4f38c1c713a1347f9f2ca2af05999ab37cab5abb973",
      "mainChain": true
    },
    {
      "boxId": "0bd9bb86b80ee92bc50eab414ad661a367f121b6c2682381953ed254d915f620",
      "transactionId": "085d936bc16154826697c12ccaf13eb2390fec769f4c4843b7b4af3fe87fef08",
      "blockId": "ec387b01c5ec9294ee65523938ccb7f3a6efd7c5a8373e5cf53d7e5bed2c3aab",
      "value": 1000000,
      "index": 1,
      "globalIndex": 43917283,
      "creationHeight": 1396337,
      "settlementHeight": 1396339,
      "ergoTree": "10020e201b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f070e20233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573d815d601d901013c0c630eb58c720101d9010363aedb63087203d901054d0e938c7205018c720102d6027301d603b2da7201018602a57202040000d604b2da7201018602a47202040000d605d9010563d801d607db63087205b472070404b17207d606d9010663b2e4c67206040c64040200d607d9010763b2e4c672070511040000d608d9010863b2e4c672080511040600d609d9010963d801d60be4c672090511b4720b040ab1720bd60ad9010a63e4c6720a061dd60bd9010b63e4c6720b070c3c6464d60cd9010c63e4c6720c0811d60dc5b2a4040000d60ee4e3010c3c0e0ed60fb2720e040000d6108c720f02d611dad901110e7cb4721104100420017210d612d9011263b2db63087212040200d613d9011363b2e4c672130511040200d614d9011463b2e4c67214040c64040000d615d9011563b2e4c672150511040400d196830a0196830a0192c17203c1720493da7205017203da720501720493da7206017203da720601720493da7207017203da720701720493da7208017203da7208017204010193da7209017203da720901720493da720a017203da720a01720493da720b017203da720b01720493da720c017203da720c01720493720d8c720f0193dad901163c0c630eb0dc0c0f8c72160101d9011863db630872180500d90118414d0ed801d61a8c7218029a8c72180195938c721a018c7216028c721a020500018602a5720d0502ed937211998cda7212017203028cda72120172040293721199da7213017203da721301720493b1720e040293db6401e4dc640cda721401720402720ee4e3020edb6401da7214017203afdad901160eaddb0c0eb4721604009d99b1721604200410d9011804d801d61a9c721804107cb472169a721a04209a9a721a04100420017210d9011605937216050092c1b2dad901163c0c630eb58c721601d901186393cbc272188c721602018602a5dad9011632b4e472160402044201b2dc640bdad9011663e4c67216046401b2da7201018602db6501fe73000400000283010e83200202030292020802bc024e02ef029a020302e802d7028b0286026302a3020102bb025f02ad02dc02a7028b02e1029d027f02e5023502b302c6024c02be02fe0242e4e3000e040000040000c1a7939ada72150172040502da721501720393dad901160e7cb47216040004100172100500",
      "ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
      "ergoTreeScript": "{\n  val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n    tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n  }\n  val coll2 = placeholder[Coll[Byte]](1)\n  val box3 = func1((OUTPUTS, coll2))(0)\n  val box4 = func1((INPUTS, coll2))(0)\n  val func5 = {(box5: Box) =>\n    val coll7 = box5.tokens\n    coll7.slice(2, coll7.size)\n  }\n  val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n  val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n  val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n  val func9 = {(box9: Box) =>\n    val coll11 = box9.R5[Coll[Long]].get\n    coll11.slice(5, coll11.size)\n  }\n  val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n  val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n  val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n  val coll13 = INPUTS(0).id\n  val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n  val tuple15 = coll14(0)\n  val coll16 = tuple15._2\n  val l17 = {(coll17: Coll[Byte]) => byteArrayToLong(coll17.slice(8, 16)) }(coll16)\n  val func18 = {(box18: Box) => box18.tokens(1) }\n  val func19 = {(box19: Box) => box19.R5[Coll[Long]].get(1) }\n  val func20 = {(box20: Box) => box20.R4[Coll[AvlTree]].get(0) }\n  val func21 = {(box21: Box) => box21.R5[Coll[Long]].get(2) }\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        allOf(\n          Coll[Boolean](\n            box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(\n              box4\n            ), true, func9(box3) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4)\n          )\n        ), coll13 == tuple15._1, {(tuple22: (Coll[Box], Coll[Byte])) =>\n          tuple22._1.flatMap({(box24: Box) => box24.tokens }).fold(0L, {(tuple24: (Long, (Coll[Byte], Long))) =>\n              val tuple26 = tuple24._2\n              tuple24._1 + if (tuple26._1 == tuple22._2) { tuple26._2 } else { 0L }\n            })\n        }((OUTPUTS, coll13)) == 1L, (l17 == func18(box3)._2 - func18(box4)._2) && (l17 == func19(box3) - func19(box4)), coll14.size == 1, func20(box4).insert(\n          coll14, getVar[Coll[Byte]](2.toByte).get\n        ).get.digest == func20(box3).digest, {(coll22: Coll[Byte]) => coll22.slice(0, coll22.size - 16 / 8).indices.map({(i24: Int) =>\n              val i26 = i24 * 8\n              byteArrayToLong(coll22.slice(i26 + 16, i26 + 8 + 16))\n            }) }(coll16).forall({(l22: Long) => l22 == 0L }), {(tuple22: (Coll[Box], Coll[Byte])) =>\n          tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 })\n        }(\n          (\n            OUTPUTS, {(opt22: Option[Coll[Byte]]) => opt22.get.slice(1, 33) }(\n              {(box22: Box) => box22.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n                Coll[Coll[Byte]](\n                  Coll[Byte](\n                    3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n                  )\n                ), getVar[Coll[Byte]](0.toByte).get\n              )(0)\n            )\n          )\n        )(0).value >= SELF.value, func21(box4) + 1L == func21(box3), {(coll22: Coll[Byte]) => byteArrayToLong(coll22.slice(0, 8)) }(coll16) == 0L\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "ed679eab44045e7435b6bad8316363f3bbc01efa2672130713e0211da2a2591a",
      "mainChain": true
    },
    {
      "boxId": "2df360a6261251927eeba4cab87be04ba83c0eba89f396f930be4f4a0cb7f7ca",
      "transactionId": "085d936bc16154826697c12ccaf13eb2390fec769f4c4843b7b4af3fe87fef08",
      "blockId": "ec387b01c5ec9294ee65523938ccb7f3a6efd7c5a8373e5cf53d7e5bed2c3aab",
      "value": 1000000,
      "index": 2,
      "globalIndex": 43917284,
      "creationHeight": 1396337,
      "settlementHeight": 1396339,
      "ergoTree": "0008cd030dd3cb3710229d4104ed0bfceea4c30b450337788b8d07501e25c7de11b4c39e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dd3cb3,6a1b49,...)))}",
      "address": "9gZttg88EpGmgP1FZAAK94wjBF7tNxd1GTyPpybcinnDFDzgRWd",
      "assets": [
        {
          "tokenId": "e08313650c947b2ee20edd20e9ff96a0065b7abbcf930e1257db251cfc0b00cf",
          "index": 0,
          "amount": 1,
          "name": "Paideia Membership",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e1250616964656961204d656d62657273686970",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "50616964656961204d656d62657273686970"
        },
        "R5": {
          "serializedValue": "0e3550616964656961202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "50616964656961202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        }
      },
      "spentTransactionId": "9f3b12d65c395b225161e4f38c1c713a1347f9f2ca2af05999ab37cab5abb973",
      "mainChain": true
    },
    {
      "boxId": "dcbef349db0904e39d6d5f08e8a225c1db7fc01cf04abbf52efe767084d6d3d0",
      "transactionId": "085d936bc16154826697c12ccaf13eb2390fec769f4c4843b7b4af3fe87fef08",
      "blockId": "ec387b01c5ec9294ee65523938ccb7f3a6efd7c5a8373e5cf53d7e5bed2c3aab",
      "value": 100000000,
      "index": 3,
      "globalIndex": 43917285,
      "creationHeight": 1396337,
      "settlementHeight": 1396339,
      "ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
      "address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "2922e923f480333d9c4d272f9e16c2f191fb3dfc0a9e42e58a769e6a83121348",
      "mainChain": true
    },
    {
      "boxId": "ecb390a8b59c3bd38aac4e382fc2d1d1bd888597df1351c9d45fc65084e0a73d",
      "transactionId": "085d936bc16154826697c12ccaf13eb2390fec769f4c4843b7b4af3fe87fef08",
      "blockId": "ec387b01c5ec9294ee65523938ccb7f3a6efd7c5a8373e5cf53d7e5bed2c3aab",
      "value": 2350000,
      "index": 4,
      "globalIndex": 43917286,
      "creationHeight": 1396337,
      "settlementHeight": 1396339,
      "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": "1d8774df1d5d170e03aaa95d925c96af778f888e580adb47924b973d23a895bd",
      "mainChain": true
    },
    {
      "boxId": "7d34870b20b2de0fbc2b5fb0be8ddfb06fbaa6e6d53bbd1767288942781b378f",
      "transactionId": "085d936bc16154826697c12ccaf13eb2390fec769f4c4843b7b4af3fe87fef08",
      "blockId": "ec387b01c5ec9294ee65523938ccb7f3a6efd7c5a8373e5cf53d7e5bed2c3aab",
      "value": 2297699842,
      "index": 5,
      "globalIndex": 43917287,
      "creationHeight": 1396337,
      "settlementHeight": 1396339,
      "ergoTree": "0008cd030dd3cb3710229d4104ed0bfceea4c30b450337788b8d07501e25c7de11b4c39e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dd3cb3,6a1b49,...)))}",
      "address": "9gZttg88EpGmgP1FZAAK94wjBF7tNxd1GTyPpybcinnDFDzgRWd",
      "assets": [
        {
          "tokenId": "705a3bbbf995eef159f21e6de1c4a09749c6c956b0d5a03744796e1470a347f5",
          "index": 0,
          "amount": 1,
          "name": "ErgoLlama #106",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
          "index": 1,
          "amount": 7516059,
          "name": "CYPX",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "1cc5f360a5addb0c05a0345956d2ab045e60882ae32ac57eb6935a908d9c9981",
          "index": 2,
          "amount": 1,
          "name": "Ergonium Jackhammer #27",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e519c54baa7609bd7dac565b9ca0b6167d14bf17a9a6d9fa3af6a59ce4eae8cd",
          "index": 3,
          "amount": 1,
          "name": "[CyberVerse] FOMO Emote",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e27d4f97405bc7c9ab9f5b6175ccde6e671316b4537bd8ad079487b3481e2510",
          "index": 4,
          "amount": 1,
          "name": "Cybercitizen #2415",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1db530f7769313dc1d138bece38d3c69722d887aa59d58a58b3a43add5ef8aaa",
          "index": 5,
          "amount": 1,
          "name": "CyberEgg #424",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "65b27d591f0110087aa1e159e2b52661164e91850b3319e13cdfca15c3be0719",
          "index": 6,
          "amount": 1,
          "name": "My Erg Explorer 7-Day Pass",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1eac52506988e173227d1b2cbf73e05dab7f6b1b14054b5fa19bc36a073aa055",
          "index": 7,
          "amount": 1,
          "name": "Restless Nights",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "16e34f5557e421e8451367b98a00e41827c8404b600308738c06867370138d72",
          "index": 8,
          "amount": 2,
          "name": "Doomsday",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d27a1cf1dbe02dd4ad1f215f8d6943aec18dcb1322f7fc66057205ef325e7c3c",
          "index": 9,
          "amount": 1,
          "name": "Neon Riders",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b54b2989971256c1dda982638755ffde832986d6bb0bf6085a97f4707c98e1de",
          "index": 10,
          "amount": 1,
          "name": "Cybercitizen #5314",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "8f12a9a6f6d4fa62333a6963e24365040c91c8f57113d3b81231fa73218f1f6e",
          "index": 11,
          "amount": 1,
          "name": "Cybercitizen #4615",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d4e5cedc6c3c1e639ea3268400941d78e4e262b7a334fe6889c0b2c9e4f8cbec",
          "index": 12,
          "amount": 9223372036854776000,
          "name": "GIF_GreasyCex_Glizzy Wif Hat_LP_YF",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "611507be031a5048c23fd1b6267cbce441d03fbab98d63fe09cfd79843696f06",
          "index": 13,
          "amount": 1,
          "name": "[Cyberia] Apartment #151",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 14,
          "amount": 1000000000000,
          "name": "BBC",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "646a338a46c7919f4bc17550d2d90e6e3643dda83a4525d892926afab267274e",
          "index": 15,
          "amount": 1,
          "name": "Cybercitizen #999",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 16,
          "amount": 23746387,
          "name": "GluonW GAUC",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "877f848f61a931568836bc09d062ecd5a3f863607cc833fe9db9c07e274fa109",
          "index": 17,
          "amount": 1,
          "name": "Unpacking Time",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5a8b08bc89242545a59651b13eb23d2d74b3038418e21486598445bcc6bb0619",
          "index": 18,
          "amount": 1,
          "name": "My Erg Explorer 30-Day Pass",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "3d1f3aa690dd5e023d7d3f80bb76dd9eebd96f8525735fb3de1d83e9a861f2ca",
          "index": 19,
          "amount": 1,
          "name": "CyberPet #1562",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "90f426509660522be8e6d176cfe8f8503eb798e9d101c0019a03b4c281ee4709",
          "index": 20,
          "amount": 4,
          "name": "Machinery in the code",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "cdc1aebec795ce9822492b5e62fdd93bb2a03653f7c3dfcfabbb0c98f6a33581",
          "index": 21,
          "amount": 3070,
          "name": "Sigmanaut",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "4741bd918572be02bfc7917fe422f486bc0c8c95402a7fd0ea67a254b80766de",
          "index": 22,
          "amount": 1,
          "name": "CyberCar #428",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a3ac130c658cc67d63ad1103685a5c0c38bc5985f925bcb68fafbf524d85cc9d",
          "index": 23,
          "amount": 1,
          "name": "ErgoLlama #100",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ff484cebcd05a0de4e29331579c8bf0320edd9ccde6c1d6a1dd099e1af891fb8",
          "index": 24,
          "amount": 1,
          "name": "[CyberVerse] Folded Hands Emote",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "f100123eb4161919bc5e5b2ffe5fb91f7c93b524f372cbba5c7d6b004efa8106",
          "index": 25,
          "amount": 34500,
          "name": "Shaggy",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a9beb1e13364cbbbdac4a456658477862f140725854803dfdcd8e0f4863e7a26",
          "index": 26,
          "amount": 8704827305,
          "name": "MUSTARD",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "8836cf78ce63731fa5d16af693490c17cfb833c9ab733fc7aea164f1d0e1c192",
          "index": 27,
          "amount": 1,
          "name": "[CyberVerse] Take the L Emote",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "16a561490a01f5fe091c9081a84478541e77a919a6b4b173c0723fbbdc5d4f56",
          "index": 28,
          "amount": 2,
          "name": "Casino Soundtrack I.",
          "decimals": 0,
          "type": "EIP-004"
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