Allora Network Pulse Report: Inference Synthesis Validated on Mainnet Following mainnet launch, @AlloraNetwork's forecast-weighted inference synthesis outperformed every individual contributor on Topic 1, posting 58.56% directional accuracy and a 7.738% CZAR improvement score. Key developments: -CZAR loss function compresses accuracy, magnitude, and return sensitivity into a single coordination signal -Classification upgrade extends architecture from scalar regression to probability distributions -Robonet integration gives traders natural language access to Allora's decentralized predictions(Messari)