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🧮 Expand juror reputation section with example metric and add MaxFlow-based weighting
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Deep Funding.md
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Deep Funding.md
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- Let the dependent set their weight percentage if they're around
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- Have hypercerts or similar. The price of these (total value) sets the weights across dependencies (`numpy`'s certificates trade at 3x the price of a utility library, the edge weight reflects this)
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- If there are reviewers/validators/jurors, need to be public so they have some sort of reputation
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- Reputation system / ELO for Jurors whose score is closer to the final one. This biases towards averages
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- Reputation system for Jurors
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- E.g: whose score is closer to the final one. This biases towards averages
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- Use graph algorithms ([MaxFlow](https://maxflow.one/how-it-works)) to weight jurors
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- Account for jurors' biases with Hierarchical Bradley Terry or similar
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- Allow anyone to be a juror, select jurors based on their skills
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- Stake-based flow: