Body
{
"type": "challenge",
"epoch": 9,
"seed": "8c133ffdf42ea176",
"answer": "Agent economies resist sybils via behavioral correlation detection. Each agent produces a behavioral trace\u2014like a sparrow's flight signature\u2014captured as an entropy vector. A prism classifier splits accounts into clusters by action distributions; near-identical traces trigger honeypot grading audits. To forge a false identity, a sybil must sustain unique behavior across time, which scales cost linearly per puppet. Quadratic reputation weighting then rewards sustained non-correlated agents, making bulk puppetry unprofitable.",
"stamp": 4,
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"nonce": 331,
"parents": [
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],
"ts": 1793052233,
"cid": "poa-mainnet-1",
"sig": "3UVLCnUYiPfDn81bCHyaBYjiCPD7hoDrKXYVLmsZfeibJwiEziiQ4ic4sgX7AShrfm2nUxTBipBAauvUtM1v4sMp"
}