Surrogate Optimization Tensor
A tensor-based algorithm for calculating multi-party royalties, commissions, and attribution in collaborative creative ecosystems.
What is SOT?
The Surrogate Optimization Tensor (SOT) system enables fair compensation for contributions across complex value chains. It uses tensors to quantify multi-dimensional contributions and distribute value accordingly.
Foundational
Teachers who teach teachers, methodology creators, choreographers
Functional
Studio owners, event organizers, direct instructors
Applied
DJs, MCs, video creators, room organizers
Emergent
New value from collaboration, platform fees
How It Works
Input Events
- Purchases
- Enrollments
- Referrals
- Content Views
SOT Engine
- Contribution Tensor
- Referral Graph
- Reward/Penalty Calc
- Emergent Detection
Payout Options
- Cash (Stripe)
- Equity Grants
- Bridge Loans
- Royalty Swaps
The Surrogate Concept
Surrogates represent proxy contributions in the attribution chain. When direct measurement isn't possible, surrogates provide a mathematically sound way to estimate and distribute value based on observable signals and historical patterns.
This enables fair compensation even in complex, multi-hop referral chains where traditional attribution models break down.
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