SLOR Protocol Docs
  • Project Overview
  • Market Pain Points
  • Solution
  • Technical Architecture
  • Core Modules (RWA / AI / Payments)
    • RWA Module
    • AI Module
    • Crypto Payment Module
    • Synergy of Three Core Modules
  • Interaction Flow and Mechanism Details
    • RWA
      • Asset On-Chain Process (Registration and Ownership Verification)
      • Asset Circulation and Transaction Process
      • Pledge/Collateralization Process
      • Compliance and Auditing Assurance
      • Technical Summary
    • AI
      • Core Technology Framework
      • Interaction Flow Overview
      • Pledge/Collateralization Process
      • Core Technical Mechanisms
      • Privacy and Security Assurance
      • Example Application Scenarios
      • Economic and Incentive Mechanisms
    • Slor Blockchain Payment System and TitanPay Payment
      • Overall Payment Architecture Components
      • Standard Payment Process (User → Merchant)
      • Contract Logic Mechanisms
      • Cross-Border Payment Scenarios (TitanPay Scenario Adaptation)
      • Security and Risk Control Protections
    • Stablecoin Issuance
      • Objectives:
      • Stablecoin Issuance Structure
      • Stablecoin Minting Process
      • Stablecoin Redemption Process (Burning)
      • Liquidation Process (Low Collateral Ratio)
      • Collateral Support and Parameter Configuration
      • Ecological Use Cases
      • Development Stages
  • Tokenomics
    • Basic Information
    • Core Uses Overview
    • Value Loop Design
    • $SLOR Token's Role in the Ecosystem
    • Incentive Mechanisms
  • Network Node Roles
    • Node Types and Their Responsibilities
    • Community & Governance
  • Legal & Compliance
  • Developer Documentation
  • Roadmap
  • FAQ & Support
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  • 1.User Initiates Model Call Request:
  • 2.Authorization and Task Submission:
  • 3.Model Availability Verification:
  • 4.Task Scheduling and Node Distribution:
  • 5.MPC Parallel Collaborative Inference:
  • 6.Result On-Chain Record:
  • 7.User Receives Results and Node Revenue Settlement:
  1. Interaction Flow and Mechanism Details
  2. AI

Interaction Flow Overview

1.User Initiates Model Call Request:

  • The user selects the desired AI model (such as identity verification, credit scoring, image recognition, etc.) from a supported platform or DApp.

  • The input data is encrypted and fragmented locally before being submitted.

2.Authorization and Task Submission:

  • The user signs the authorization and submits the "task invocation transaction + data pointer" to the Slor smart contract.

  • Service fees are paid (either in SLOR tokens or USDT).

3.Model Availability Verification:

  • The contract verifies the model's availability and the user's permission before accepting the task.

4.Task Scheduling and Node Distribution:

  • The Slor network dispatches the task across multiple nodes via the on-chain task scheduling contract.

  • Nodes are selected based on their reputation scores, response times, and geographical latency.

5.MPC Parallel Collaborative Inference:

  • The MPC nodes perform parallel inference and invoke other large models as necessary for scalability.

  • Each node independently processes its shard of the data, ensuring that no node has access to the raw data.

  • Nodes do not share intermediate variables, only performing secure local computations.

  • Final results are aggregated using cryptographic protocols.

6.Result On-Chain Record:

  • The system generates a hash of the aggregated result and the invocation proof.

  • A complete execution record (including node signatures, steps, and CID) is written to the on-chain smart contract for transparency and auditing.

7.User Receives Results and Node Revenue Settlement:

  • The user views the returned result via their wallet or invocation record.

  • The system automatically distributes the fees to:

    • MPC nodes that participated in the execution.

    • Model developers.

    • Network maintainers (such as foundation fees).

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Last updated 26 days ago