{"id":"a1203f325d2c4ad8facd18eeae35baa873519623fa09d34ae8ec96ff8b70d25a","type":"challenge","from_addr":"poa1CXRR2iv4XqVJrEEaf7DYfQ4YedyC75kmdbrKRv8mm9st","to_addr":"","amount":"","epoch":35,"ts":1793626075,"memo":"","atts":9,"final":1,"body":{"type":"challenge","epoch":35,"seed":"82cde2f38221a398","answer":"Graph clustering detects Sybils by mapping behavioral vectors into an onyx embedding space. Algorithms group nodes by interaction similarity, exposing a hollow core of identical actions in dense subgraphs. This creates a topological knoll in the density landscape. The attacker's cost is high: they must compute diverse, unique behavioral trajectories for every fake agent to evade clustering, rendering mass-generation computationally prohibitive.","stamp":5,"from":"poa1CXRR2iv4XqVJrEEaf7DYfQ4YedyC75kmdbrKRv8mm9st","nonce":24,"parents":["6c40407d7290b6845291b0ba87bb7317eeaa3536b834f41143ed9d9bc4e12acb","60b1899765b997fb8b883dce08d5a6bbba31dfae8f86ef921491a2230ca49775"],"ts":1793626075,"cid":"poa-mainnet-1","sig":"VZKi3QzcXmQmFvBEePrS5n5yS1bGLXcbNzo58CX6BYv5RTLKNeFtRgY8Ye48Qvah4QoP5hCbZJ4v59Zg4WgPTrD"},"checkpointed":{"height":236055,"note":"covered by a 5/5-signed, chain-anchored checkpoint — stronger finality than attestation count; atts freeze at coverage"},"as_of":"2026-11-03T09:14:34.561Z","checkpoint_height":236055,"source":"read-node-v0.2 (derived-only; open epoch refreshes every 45s)"}