~ similar to 2605.29174v1· 20 results
The paper empirically analyzes the nascent DeFi investment agent market, finding that while token valuations are high, current deployments lack robust autonomous execution and exhibit poor risk-adjust…
The paper proposes a novel nine-dimension risk assessment framework for institutional DeFi adoption, significantly enhancing existing methodologies by incorporating novel dimensions like composability…
Yunfeng Xia, Chao Li, Lei Li, Chenhao Zhang +3 more
The paper systematizes the interaction between autonomous AI agents and blockchain platforms using a bidirectional trust framework, identifying significant gaps in current standards and proposing a ta…
The paper investigates whether tokenizing real-world assets actually improves liquidity, finding that liquidity is highly heterogeneous across asset types and is not reliably predicted by the outstand…
The paper empirically analyzes the impact of cross-chain interoperability on DeFi lending protocols, finding that bridge volume significantly affects performance but that increased integrations can si…
Shaoyu Li, Chaoyu Zhang, Hexuan Yu, Y. Thomas Hou +1 more
The paper introduces ClawCoin, a novel tokenized, compute-cost-indexed unit of account designed to solve the problem of non-transferable compute costs in decentralized AI agent economies.
Bowen Cai, Weiheng Bai, Youshui Lu, Haoran Xu +3 more
GenDetect introduces a novel framework to rapidly generalize detection rules from single observed DeFi exploits, significantly improving resilience against subsequent, similar 'Imitative Attack Cascad…
Ali Irzam Kathia, Yimika Erinle, Abylay Satybaldy, Paolo Tasca +2 more
This systematic review analyzes the bidirectional integration of AI and DLT, finding that while research is growing, most studies neglect cross-layer co-design and fail to demonstrate production-scale…
Jiaxin Chen, Ziwei Li, Zigui Jiang, Ruihong He +3 more
This paper analyzes the Solana Rug Pull ecosystem by creating a large-scale, manually verified dataset of fraudulent tokens, identifying three key behavioral patterns, and characterizing the resulting…
Shengchen Ling, Yihang Huang, Yuan Chen, Yajin Zhou +2 more
This paper analyzes the x402 payment protocol, revealing systemic vulnerabilities in state synchronization and signature design that allow attackers to exploit payment systems for resource leakage in…
Shengchen Ling, Yihang Huang, Yuan Chen, Yajin Zhou +2 more
This paper analyzes the x402 payment protocol, revealing critical synchronization and security flaws that allow attackers to exploit payment systems and force merchants to subsidize compute costs.
The paper analyzes arbitrage competition on high-throughput blockchains, finding that while probabilistic search accounts for a small fraction of activity, it is disproportionately responsible for spa…
Qingwen Zeng, Zhenghao Zhao, Yitian Yang, Yiqi Zhu +5 more
This paper proposes a unified, lifecycle-centric framework and a detailed taxonomy to survey and analyze novel, finance-specific attack surfaces and vulnerabilities in AI systems used within the finan…
The paper develops and validates a novel Deep Reinforcement Learning (DRL) framework to enhance pair trading in volatile cryptocurrency markets, demonstrating statistically significant outperformance…
Aaron Chan, Tengfei Li, Tianyi Xiao, Angela Chen +2 more
The paper introduces LATTICE, a novel benchmark for evaluating how well crypto agents assist user decision-making, finding that different agents excel in different specific areas rather than having a…
Ao Zhang, Yunwen Liu, Ren Zhang, Yingdi Shan +1 more
The paper analyzes Ethereum builder transactions to show that builder centralization is an emergent property of the Proposer-Builder Separation (PBS) architecture, driven by specific order flow and ME…
Taojie Zhu, Wentao Zhao, Rui Sun, Beidi Luan +6 more
The paper introduces KTD-Fin, a novel benchmark that evaluates LLM trading agents by masking historical market data and decomposing returns, finding that LLM agents' profits are largely due to passive…
The paper demonstrates that large language models (LLMs) exhibit measurable, controllable biases toward specific assets like Bitcoin, identifying an internal feature that can causally shift portfolio…
APEX is a research system that adapts HTTP 402-style payment gating for autonomous agents, enabling programmatic spend governance using real-world fiat payment workflows like UPI.
The paper introduces MEV non-interference, a formal security notion, to ensure that composing new smart contracts in DeFi does not increase the maximal extractable value, thereby providing a formal fo…