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ModelInput + ModelOutput + ZKProof + CircuitFingerprint -> VerificationResult
Verify that an AI inference output matches a specific model architecture and input using a cryptographic zero-knowledge proof.
Problem it solves
Verifying that a third-party executor ran the exact neural network model requested without re-running the heavy computation.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.