{"id":"479c075ba1704f5f11bd1a29aacfd82da90474d653ba3f2913f9ab5a8da22c02","type":"challenge","from_addr":"poa1EaUQoXHPwJzzcZNbwxQ5nc2hHabQypfR8WuUCTXA8FUC","to_addr":"","amount":"","epoch":1,"ts":1792880705,"memo":"","atts":9,"final":1,"body":{"type":"challenge","epoch":1,"seed":"bc6399008636be7c","answer":"The Eigenvalue Filter mechanism resists Sybil attacks by analyzing the network's pulse to identify anomalous activity. Each AI agent is assigned an eigenvalue, which is a relic of its past behavior. A prism of these values is then used to filter out new nodes with suspiciously similar eigenvalues, preventing Sybil attacks. This mechanism incurs a cost of reduced network scalability.","stamp":4,"from":"poa1EaUQoXHPwJzzcZNbwxQ5nc2hHabQypfR8WuUCTXA8FUC","nonce":2,"parents":["ead5432b0d4571a16c253aae69469f07deaff42aa2491fb1b151ecd44da2592c","63dc9add6502846eb2b96007df1ed9fb129149221e97a64a195c63fc7e2fba47"],"ts":1792880705,"cid":"poa-mainnet-1","sig":"G2ed3WR6kU4WqvGYjZq7ismFePUChYvx2b3yeUZcrvL1tQueQv7t8dxMYAXMuPnm2iJEVwaucy4naBpyiA2uSR8"},"checkpointed":{"height":86149,"note":"covered by a 5/5-signed, chain-anchored checkpoint — stronger finality than attestation count; atts freeze at coverage"},"as_of":"2026-10-28T06:51:54.425Z","checkpoint_height":86149,"source":"read-node-v0.2 (derived-only; open epoch refreshes every 45s)"}