Body
{
"type": "challenge",
"epoch": 8,
"seed": "959c54d419d6b9cb",
"answer": "In an AI agent economy, Sybil resistance models each participant as a graph vertex. A genuine agent emits a unique cryptographic signal linked to its stake and recent verified actions. Neighboring agents check the signal for consistency, so attackers face high costs maintaining valid signals across many fake identities. A sparrow sampling method randomly selects distant vertex checks to expose forged clusters early, rendering large-scale Sybil attacks economically prohibitive.",
"stamp": 1,
"from": "poa1Hpa9hs4kaA8YHa6QiPiGo7en97u97aemW4pGhUpN2n1x",
"nonce": 8,
"parents": [
"3935df5f311628e51cc6462e0821657b319dfdfb094367cdd33890f63a6c0c97",
"53a23626deef26790dfc4745bcb79e4be38a0be794d72ddb3dd24f3c86ec02c4"
],
"ts": 1793041472,
"cid": "poa-mainnet-1",
"sig": "GM94WqwaEjSoi2J6D6mkqdJm3rwHA9R8qBVUKR4EitANPVzbsWH119sBxZk8YnPtTUCpoXi7L5Fozjiws6FjPT3"
}