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  • Imua
    • About
  • Manifesto
    • The Problems
    • The Principles
  • Architecture
    • Imua Design Principles
    • Imua Network
    • Imua Modules
    • Client Chain Bridges
      • Trustless Verification of Client Chain State
      • Handling Race Conditions between Imua and Client Chains
    • Client Chain Contracts
  • Concepts
    • Ecosystem
      • Re/stakers
      • Operators
      • Services (AVS)
        • Service Integration with Imua
        • Service Committee
        • Service Integration Details
    • restaked Proof-of-Stake (rPOS)
    • Multi-Token Restaking
    • Multi-Chain Restaking with Trustless Bridging
    • Voting Power
    • Price Oracle
    • Flexible Integration with AVS
    • Tribe Staking
  • Governance
  • Risk Management
    • Risk Analysis
      • Risk Modeling
      • Risk Parameters
      • Crypto-Economic Risk
      • Unintended Slashing
      • Black Swan Events
    • Risk Mitigation
      • Smart Contract Simplicity
      • Audits
      • Slashing Prevention
      • Slashing Vetos
      • Insurance Pools
      • Circuit Breakers
  • Components
    • Testnet
    • Oracle Module
      • Reaching Consensus on Asset Prices
      • Penalty
      • Implementation Detail
    • Smart Contracts
    • Explorer
    • Registry
  • Validator Setup
    • Prerequisites
    • Node Install
    • Compiling Binary from Source
    • Oracle Price Feeder
    • Running the Node
    • Snapshot
    • Register Option 1 (Bootstrap)
    • Register Option 2 (Post Network Launch)
    • Deposit Tokens
    • Delegating Tokens
    • Confirm Election Status
    • Faucets
    • Managing The Validator
    • Security Best Practices
    • Risks & Mitigation
    • Participation in Governance
    • FAQs & Resources
  • Testnet Upgrade to v1.1.1
  • AVS Setup
    • AVS Overview
    • Prerequisites
    • Building the AVS in Imua
    • Hello-World-AVS Example
    • Becoming AVS Operator
    • AVS Register and Deploy
    • AVS Task Example
    • Enhanced and Automated Edition of hello-avs integration guide&example
  • Whitepaper (2023)
    • .pdf
  • FAQ
    • What problems is Imua solving?
    • What are the main design trade-offs that had to be made with an omnichain design?
    • Does the omnichain design imply added trust assumptions (relative to a single-chain design)?
    • What concurrency-related challenges would you face with a different design?
    • How does Imua integrate with new chains?
    • Do specific chains prove unique challenges w.r.t. integration?
    • How is the cross-chain communication is achieved?
    • What are the known attack / censorship vectors here, if any?
    • Are the restaked tokens being pooled in a centralized account?
    • Who will run the validators in the Imua network?
    • Is Imua an AVS?
    • How does Imua address the risks of overloading L1 social consensus?
    • Does the Imua queuing system raise concerns around latency?
    • What are the main benefits of an omnichain design?
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  1. Manifesto

The Problems

Trust in institutions is at an all-time low

Trust in institutions has hit historic lows—precisely as AI systems requiring high trust emerge alongside blockchains that reduce trust requirements.

Economic security is fragmented in blockchain networks

In Proof-of-Stake (PoS) blockchain systems, tokens are staked as collateral to secure the network of decentralized applications (DApps). However, blockchains still remain siloed and largely disconnected from the off-chain world.

Cryptographic networks provide strong security guarantees but lack incentives to scale

Cryptographic primitives such as ZKP, FHE and MPC all suffer from scaling issues, which causes them to be under utilized as core technology. Economic incentives help provide the necessary work to bring them to scale.

Developers must create their own decentralized networks and services from scratch

The process of bootstrapping decentralized, verifiable trust services from scratch usually involves designing a staking token, building liquidity, attracting investors, recruiting validators, and gaining market adoption—which all come at great expense especially before achieving product-market-fit.

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Last updated 23 days ago