Reliquary Activates Burn Mechanism to Address Incentive Concentration

The team activated a burn mechanism to mitigate exploit risks and address 70% incentive concentration among miners. They confirmed this aligns with the subnet's design thesis, where signal-rich prompt selection drives rewards, and training difficulty increases as unfilled windows rise to 20%.

• •Burn rate increased to 18% to reduce false answers and nearing training completion
• •Top miner captures 70% of incentives via optimized k=6 policy
• •Validators train on prompts surviving winnowing selection process
• •Miners advised to use /health and /verdicts endpoints for local scoring validation