~ similar to 2604.27694v1· 20 results
This paper analyzes the conditions under which Bitcoin's security might fail due to miners deviating from honest mining when block rewards decline to zero, concluding that protocol mechanisms can miti…
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…
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…
Intercloud proposes a decentralized economic network that achieves eventual consistency and security using a novel 'chilling-effect consensus' mechanism, eliminating the need for global coordination.
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…
The paper develops and validates a novel Deep Reinforcement Learning (DRL) framework to enhance pair trading in volatile cryptocurrency markets, demonstrating statistically significant outperformance…
This paper critically re-evaluates the use of Graph Neural Networks (GNNs) for Bitcoin fraud detection, demonstrating that under strict, leakage-free temporal evaluation, simple feature-only models si…
The paper introduces Temporary Power Adjusting Withholding (T-PAW), a generalized and more potent block withholding attack than the existing PAW attack, demonstrating that this attack can yield signif…
This paper analyzes Bitcoin's new V2 P2P transport protocol, demonstrating that while it fixes known vulnerabilities, attackers can still execute conceptual attacks like message identification via pay…
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…
This study demonstrates that the publicly distributed firmware of ASIC cryptocurrency miners constitutes a primary and sufficient attack surface, allowing attackers to reconstruct internal architectur…
The paper analyzes transaction fee mechanisms in modern blockchains that use parallel execution and contingency, proving an inherent trade-off between minimizing risks for users and maximizing revenue…
The paper introduces Bitcoin Smart Accounts (BSA), a novel, trust-minimized protocol enabling native Bitcoin to participate in DeFi while maintaining self-custody of funds.
The paper designs an optimal mechanism for soliciting expensive computational tasks in adversarial blockchain environments, showing that the loss of optimality scales logarithmically with the cost of…
The paper proposes a dual-regime architecture combining Bernoulli CUSUM and asymmetric scoring to significantly improve trust fraud detection in sparse rating networks, achieving superior performance…
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 proposes 'inertial mining,' a novel protocol that ensures miners follow the intended Bitcoin rules by making the protocol an economic equilibrium, thereby preventing profitable deviations li…
The paper proves that standard account-based ledgers cannot non-custodially enforce asset disposition, and introduces a novel commitment-based ledger structure, the 'envelope,' that achieves this capa…
The paper develops a structurally justified framework for measuring Quantum Cryptographic Exposure (HNDL) by showing that the compromise probability factorizes into distinct, interacting components ba…
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…