Paper
OMNIINTENT: A Trusted Intent-Centric Framework for User-Friendly Web3
Authors
Zhuoran Pan, Yue Li, Zhi Guan, Jianbin Hu, Zhong Chen
Abstract
The increasingly complex Web3 ecosystem and decentralized finance (DeFi) landscape demand ever higher levels of technical expertise and financial literacy from participants. The Intent-Centric paradigm in DeFi has thus emerged in response, which allows users to focus on their trading intents rather than the underlying execution details. However, existing approaches, including Typed-intent design and LLM-driven solver, trade off expressiveness, trust, privacy, and composability. We present OMNIINTENT, a language-runtime co-design that reconciles these requirements. OMNIINTENT introduces ICL, a domain-specific Intent-Centric Language for precise yet flexible specification of triggers, actions, and runtime constraints; a Trusted Execution Environment (TEE)-based compiler that compiles intents into signed, state-bound transactions inside an enclave; and an execution optimizer that constructs transaction dependency graphs for safe parallel batch submission and a mempool-aware feasibility checker that predicts execution outcomes. Our full-stack prototype processes diverse DeFi scenarios, achieving 89.6% intent coverage, up to 7.3x throughput speedup via parallel execution, and feasibility-prediction accuracy up to 99.2% with low latency.
Metadata
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Raw Data (Debug)
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"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2603.04168v1</id>\n <title>OMNIINTENT: A Trusted Intent-Centric Framework for User-Friendly Web3</title>\n <updated>2026-03-04T15:24:47Z</updated>\n <link href='https://arxiv.org/abs/2603.04168v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2603.04168v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>The increasingly complex Web3 ecosystem and decentralized finance (DeFi) landscape demand ever higher levels of technical expertise and financial literacy from participants. The Intent-Centric paradigm in DeFi has thus emerged in response, which allows users to focus on their trading intents rather than the underlying execution details. However, existing approaches, including Typed-intent design and LLM-driven solver, trade off expressiveness, trust, privacy, and composability.\n We present OMNIINTENT, a language-runtime co-design that reconciles these requirements. OMNIINTENT introduces ICL, a domain-specific Intent-Centric Language for precise yet flexible specification of triggers, actions, and runtime constraints; a Trusted Execution Environment (TEE)-based compiler that compiles intents into signed, state-bound transactions inside an enclave; and an execution optimizer that constructs transaction dependency graphs for safe parallel batch submission and a mempool-aware feasibility checker that predicts execution outcomes. Our full-stack prototype processes diverse DeFi scenarios, achieving 89.6% intent coverage, up to 7.3x throughput speedup via parallel execution, and feasibility-prediction accuracy up to 99.2% with low latency.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='cs.CR'/>\n <published>2026-03-04T15:24:47Z</published>\n <arxiv:primary_category term='cs.CR'/>\n <author>\n <name>Zhuoran Pan</name>\n </author>\n <author>\n <name>Yue Li</name>\n </author>\n <author>\n <name>Zhi Guan</name>\n </author>\n <author>\n <name>Jianbin Hu</name>\n </author>\n <author>\n <name>Zhong Chen</name>\n </author>\n </entry>"
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