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 proposes a trustless framework using dual-layer cryptographic commitments to solve the operator-gating problem in blockchain provenance trees, ensuring verifiable user attribution even when…

This paper analyzes 48 large, active DAOs on Ethereum and finds that common governance mechanisms like token registration, staking, and delegation systematically reinforce the centralization of voting…

The paper proposes a DAO and blockchain-based framework to decentralize and incentivize community participation in facility management, demonstrating its potential for collective building upkeep.

This paper proposes a decentralized, blockchain-based protocol using both public and private blockchains to enhance the cyber resilience and security of IoT data transfer for digital building twins an…

This paper analyzes high-impact Web3 security incidents to show that most losses stem from off-chain organizational and operational failures, not just smart contract bugs.

This paper proposes and evaluates the integration of Federated Learning and blockchain technology over cloud-edge infrastructure to enhance data privacy and security for decentralized AI applications.

The paper proposes a blockchain-based, governance-constrained agentic AI architecture for wildfire monitoring that enforces mandatory human oversight to ensure safety, reliability, and accountability…

The paper introduces ODYSSEY, a confidential blockchain that mitigates execution-inference and execution-replay attacks by implementing a delegation model, achieving high throughput and low latency in…

The paper proposes BitSov, an eight-layer, Bitcoin-native architectural framework designed to build sovereign internet infrastructure by composing existing decentralized technologies.

The paper introduces Ark, a novel Bitcoin-compatible commit-chain that enables offchain transaction batching of virtual UTXOs (VTXOs) with a constant onchain footprint, solving scalability issues with…

The paper proposes a method using on-chain voting analysis to detect emerging partisan communities within DAOs, demonstrating that addresses destined to fork cluster together months before actual orga…

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.

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 Federated Computing as Code (FCaC), a declarative architecture that enforces sovereignty-critical constraints in federated systems by compiling authority into cryptographically veri…

ORCHID introduces a novel, bio-inspired consensus protocol that uses quantum-noisy phase oscillators and a binding threshold derived from neuroscience to achieve scalable, high-fidelity consensus in d…

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…

This paper synthesizes the emerging field of blockchain and AI for securing intelligent networks by providing a comprehensive taxonomy, integration patterns, and an evaluation blueprint.

The paper identifies and quantifies 'zombie linkages' in various DNS integrations, demonstrating that persistent, outdated mappings pose significant security risks across different naming ecosystems.

The paper proposes a compliance-aware architecture for agentic payments on stablecoin rails that embeds regulatory checks directly into the on-chain execution flow to ensure safe, low-friction transfe…