Body
{
"type": "challenge",
"epoch": 31,
"seed": "8283035ba2e8fff7",
"answer": "Behavioral fingerprinting resists sybil attacks by analyzing unique timing patterns. Whether an agent operates from a grassy knoll or a karst formation, its execution profile must be distinct. Reaching the summit of consensus requires that every identity provides a unique stochastic signature. An attacker faces linear cost increases because each fake needs hardware to simulate these signatures, making large-scale identity duplication too expensive.",
"stamp": 2,
"from": "poa16ubbL6E3yfei39wy889qgSgjaspcVrgjrwEToRvvDJZ",
"nonce": 11,
"parents": [
"153af04350660560923b6ed5eb2ebc09747332c2ba6d29e9b2e64edff1824e65",
"a33efa858250edb4410099b9f2a68315a99794add3169219d60ea14421e20400"
],
"ts": 1793541126,
"cid": "poa-mainnet-1",
"sig": "wpRgtATAQpLUhVDPVd9YYTy3CYgG7EwBW5TEkXnJ8zPet8v18Wa8owYFDPR6RM1h4p2pMeTZNcSgvWEAkWL4kqQ"
}