Transaction
ID: 68e0d1b691...e585
Inputs (9)
Spent
Address:
Output transaction:
Settlement height:
Value:
3.4 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (11)
Unspent
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.24 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.14 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 923,032
Total coins transferred: 3.41 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000244 ERG
Raw Transaction Data
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"address": "9hLCPF55AbjYAnc8h8HLSxcbj3hERxNez1PPr8XRukUxmpEuFx1",
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],
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{
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"transactionId": "68e0d1b691c7dc99d4d73c9d419014b4145c710b1d5bd1de3aa64e4e0acce585",
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"creationHeight": 847518,
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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"index": 0,
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"sigmaType": "SLong",
"renderedValue": "10000000000"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03726b652761b514c978420088a3f5d8e5b000a334bc3ff07fd7303dd7df1ce641"
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"sigmaType": "SGroupElement",
"renderedValue": "03726b652761b514c978420088a3f5d8e5b000a334bc3ff07fd7303dd7df1ce641"
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{
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"index": 1,
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Creeping Madness #17",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "SLong",
"renderedValue": "10000000000"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03726b652761b514c978420088a3f5d8e5b000a334bc3ff07fd7303dd7df1ce641"
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{
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"index": 2,
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
"address": "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",
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"index": 0,
"amount": 1,
"name": "Creeping Madness #19",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "SLong",
"renderedValue": "10000000000"
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"sigmaType": "Coll[SByte]",
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"mainChain": true
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{
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"value": 3000000,
"index": 3,
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"index": 0,
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"sigmaType": "SLong",
"renderedValue": "10000000000"
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "SGroupElement",
"renderedValue": "03726b652761b514c978420088a3f5d8e5b000a334bc3ff07fd7303dd7df1ce641"
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"mainChain": true
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{
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"index": 4,
"globalIndex": 22281410,
"creationHeight": 847518,
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"ergoTree": "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",
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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"assets": [
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"index": 0,
"amount": 1,
"name": "Creeping Madness #16",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "SLong",
"renderedValue": "10000000000"
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"R5": {
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"sigmaType": "Coll[SByte]",
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{
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"value": 3000000,
"index": 5,
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"creationHeight": 847518,
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
"address": "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",
"assets": [
{
"tokenId": "9247eede39866ccc0500a80e0cb53845f2680c45f892fdc964c02cb3d95dd5ba",
"index": 0,
"amount": 1,
"name": "Creeping Madness #15",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "058090dfc04a",
"sigmaType": "SLong",
"renderedValue": "10000000000"
},
"R5": {
"serializedValue": "0e240008cd03726b652761b514c978420088a3f5d8e5b000a334bc3ff07fd7303dd7df1ce641",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03726b652761b514c978420088a3f5d8e5b000a334bc3ff07fd7303dd7df1ce641"
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{
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"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",
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"mainChain": true
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}