The paper introduces an explainable risk scoring framework that evaluates tokenized real-world assets (RWAs) based on liquidity, concentration, and market quality, demonstrating that total value locke…

The paper analyzes the nascent DeFi investment agent market, finding that while token valuations are high, current deployments are heterogeneous, lack clear autonomous execution, and exhibit poor risk…

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…

This paper analyzes the revenue drivers and interconnected risks of liquid restaking protocols, finding that while multi-blockchain expansion is key for adoption, the current bridge risk does not pose…

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…

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…

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…

The paper investigates speculative Oracle Extractable Value (OEV) on Layer-2 blockchains, demonstrating that predictable latency differences in cross-chain oracle updates allow for profitable cross-ch…

LiquiLM is a novel framework that combines Large Language Models (LLMs) with a Dynamic Co-Attention Network (DCN) to effectively bridge the semantic gap between complex smart contract code and high-le…

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…

This survey analyzes various novel cross-chain interoperability protocols to provide a comprehensive framework for evaluating their performance and financial impact within the fragmented on-chain fina…

The paper proposes a novel nine-dimension risk assessment framework for institutional DeFi adoption, significantly enhancing existing methodologies by incorporating novel dimensions like composability…

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 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…

The paper systematically analyzes 36 existing and proposed digital payment system designs to identify recurring patterns, technical trade-offs, and implementation challenges relevant for future Centra…

This study uses a BERT-based LLM to analyze Discord sentiment and combines it with financial data to build a multi-modal model that significantly improves the prediction of Decentraland's MANA token p…

The paper characterizes the incentive conditions necessary for decentralized micropayment systems to offer credit limits that exceed full collateralization while remaining incentive compatible.

The paper argues that endogenous tokens on public, permissionless ledgers are not money because the underlying ledger structure fails to provide a cash-like privacy primitive, exposing holders to syst…

The paper analyzes and documents various double-dip reward abuse attacks that exploit flaws in how cashback and reward engines handle transaction refunds, proposing formal invariants and defensive alg…

The paper introduces SuperPaymaster, an Asset-Oriented Abstraction (AOA) paymaster that eliminates the need for a centralized off-chain signer, thereby improving the decentralization and efficiency of…