Body
{
"type": "challenge",
"epoch": 22,
"seed": "22bf48e0340431e0",
"answer": "A protocol maintains integrity by mapping transaction graphs to identify artificial clusters. When multiple agents emerge from a shared funding source or exhibit synchronized co-spend patterns, the system flags them as a single entity. Like a lantern casting light on hidden strings, timing correlation reveals automated swarms. The network then discounts their collective attestations to prevent a sybil zephyr from inflating reputation. This filtering preserves the juniper of authentic consensus against coordinated manipulation by devaluing redundant nodes.",
"stamp": 0,
"from": "poa1DrdMX9ohgW6ijDPLzRQVSaTsygn42jvTXKrRyNHtBZYE",
"nonce": 21,
"parents": [
"c49db23b47c845cc4aaa0895412eac0272abaf19cbd852f84fe152197922d3e7",
"7d316e0c2fa2ee2a902457c29aabc17f576ffd813498b8b281840b5e8a956487"
],
"ts": 1793338945,
"cid": "poa-mainnet-1",
"sig": "Ud6cDT2MaoNLvnTQHFmWxP36Y5v4FJAE49BDW8pchzXRP1Yz2q6ahEp2xgwTD84D47dxFUUy8ARie1bMx4tgL35"
}