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docs/yuma-consensus.md

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The algorithm is designed to more heavily weight the inputs of more trusted validators, in order to ignore the portion of the validation signal that is less reliable. By disregarding unreliable weight-settings, YC incentivizes validators to be worthy of trust by working hard to give consistent, fast, honest evaluations of miners that predict the eventual convergence of other validators' evaluations. YC incentivizes miners to work hard for the highest combined evaluation by the community of validators.
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See:
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- [How Yuma Consensus 3 Makes Bittensor More Fair](./yc3-blog)
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- [Emissions](./emissions)
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- [Subtensor Docs: Yuma Consensus](https://github.com/opentensor/subtensor/blob/main/docs/consensus.md)
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The $\alpha$ variable here is unrelated to the concept of subnet specific currencies, referred to as alpha $\alpha$ tokens. Here $\alpha$ refers to a factor used in this EMA smoothing function—see [consensus-based weights, a.k.a. liquid alpha](./subnets/consensus-based-weights.md).
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:::info
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Yuma Consensus 3 introduces **per-bond alpha scaling** where each validator-miner pair gets its own α value rather than using a uniform rate. When Liquid Alpha is enabled, the system calculates individual alpha values using a sigmoid function based on the difference between a validator's current weights and network consensus. This allows validators to start accumulating bonds independently, rewarding early recognition of promising miners while maintaining anti-fraud protection.
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See [How Yuma Consensus 3 Makes Bittensor More Fair](./yc3-blog)
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:::
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## Validator emissions
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Each validator $i$’s share $V_i$ of validator emissions (41% of each subnet's total emissions) is the sum of all of its bonds to miners, weighted by the miner's total emissions:

sidebars.js

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"learn/bittensor-building-blocks",
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"learn/anatomy-of-incentive-mechanism",
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"emissions",
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"yuma-consensus",
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"yuma-consensus",
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"yc3-blog"
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],
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},
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{

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