Injective has published a new white paper, marking its first full rewrite since the original version released in December 2018. The updated document positions the network as a Layer 1 built for institutional-grade finance and asset tokenization, with a framework that spans the full lifecycle of tokenized assets from issuance and trading to settlement. It also introduces Injective’s native real-world asset, or RWA, tokenization mechanism and its iAssets derivatives model. According to the release, tokenized assets can trade on a fully on-chain central limit order book and use sealed high-frequency batch auctions for unified price clearing. The paper also says the chain uses BFT consensus for deterministic finality, with block times of about 600 milliseconds. Other sections cover native EVM and WASM support, risk management for perpetual contracts, and financial use cases involving AI agents. Injective added that on-chain protocol revenue will be directed to recurring INJ community buybacks.
Injective has released a new white paper, its first full rewrite since the project’s original paper was published in December 2018.
The updated paper positions Injective as a Layer 1 network aimed at institutional-grade finance and asset tokenization. It outlines coverage across the full lifecycle of tokenized assets, from issuance and trading to settlement, and introduces the chain’s native real-world asset tokenization mechanism as well as iAssets derivatives.
According to the paper, tokenized assets can be traded through a fully on-chain central limit order book. Price clearing is handled through sealed high-frequency batch auctions, which the document says produce a unified clearing price. On consensus, Injective says its BFT design provides deterministic finality, with block times of around 600 milliseconds.
The new version also includes sections on native EVM and WASM support, risk management for perpetual contracts, and AI agent finance. Injective said on-chain protocol revenue will flow to recurring INJ community buybacks.
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