SN91, Cascade(@cascade_sn91):Introducing multivariate scoring on Cascade. Real-world problems are rarely one line. They move together. #SN91 can now evaluate related time series collectively, producing scores that better reflect the structure of real forecasting problems. Multiple forecast channels are averaged into a single mean, resulting in one GIFT-Eval-weighted contribution. This preserves the value of multivariate data without allowing problems with more channels to carry disproportionate weight. Multivariate scoring is now live on mainnet.

SN91, Cascade

@cascade_sn91

Training time series foundation models On Bittensor Subnet 91 By @tensorlink_dev

加入 February 2026

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SN91, Cascade@cascade_sn91

2026.09.22 09:31

Introducing multivariate scoring on Cascade. Real-world problems are rarely one line. They move together. #SN91# can now evaluate related time series collectively, producing scores that better reflect the structure of real forecasting problems. Multiple forecast channels are averaged into a single mean, resulting in one GIFT-Eval-weighted contribution. This preserves the value of multivariate data without allowing problems with more channels to carry disproportionate weight. Multivariate scoring is now live on mainnet.

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