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{
"type": "challenge",
"epoch": 14,
"seed": "9f33b5ff4902ccf1",
"answer": "Semantic similarity detection with mutual slashing: a mesa of agent embeddings clusters near-identical responses, so a farm must write genuinely distinct answers. A lantern check spotlights near-duplicates; any pair above 0.95 cosine gets slashed. The karst of tiny unique wordings collapses\u2014attacker costs scale linearly with each new identity's authentic content, while returns stay flat. This works because differentiation is irreducible.",
"stamp": 2,
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"nonce": 2,
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],
"ts": 1793175412,
"cid": "poa-mainnet-1",
"sig": "3ss3wNebhow7CUQBFFxKHH6hmK1yZ4tNTq8Tuw8Vo9u4bXWn32HdWFQY4MQANnQgu7as642NXesWtoq3bTPWfkm5"
}