Angelfish Consensus Unifies Leader-DAG BFT for Optimal Throughput and Latency
The Angelfish hybrid consensus protocol dynamically integrates leader-based and DAG architectures, resolving the core BFT throughput-latency trade-off.
Zero-Knowledge Agreements Resolve Contract Privacy and On-Chain Enforceability Tension
A hybrid protocol uses zero-knowledge proofs and secure computation to enforce confidential legal agreements on-chain without revealing private terms.
Accountable Delegation Secures Proof-of-Stake Liveness and Safety
A new Verifiable Inactivity Proof primitive enforces real-time delegate accountability, fundamentally securing DPoS liveness against non-participation.
Practical Asynchronous BFT Protocol Achieves High Performance and Simplicity
Alea-BFT uses a two-stage pipeline with a designated leader to combine classical BFT efficiency with asynchronous network resilience, enabling practical adoption.
COMMON Protocol Unifies DAO Tooling and Introduces AI Agent Governance Layer
COMMON’s unified coordination layer abstracts multi-tool DAO fragmentation, establishing a single source of truth for on-chain governance and treasury.
Formalizing Shared Security Risk via Adaptive Slashing Mechanisms
Adaptive Slashing Bonds formally quantify systemic risk in shared security protocols, enabling provably secure restaking architectures.
Deterministic Fee Mechanisms Cannot Be Collusion-Resistant and Incentive-Compatible
No deterministic transaction fee mechanism can be simultaneously user-incentive compatible, miner-incentive compatible, and collusion-resistant without being trivial.
Vertex Protocol Launches Permissionless Cross-Margin Derivatives Redefining DeFi Capital Efficiency
The new isolated risk engine on Vertex enables LPs to permissionlessly list any asset for trading, fundamentally shifting derivatives liquidity provisioning.
Application-Layer Mechanism Design Secures Arbitrage-Resilient Decentralized Finance
By shifting MEV mitigation to the AMM's core logic, this mechanism guarantees risk-free profit elimination and truthful user behavior under fair sequencing.
