Subsystem Specialization Decouples Consensus Speed from Decentralization
BlueBottle introduces a two-layer consensus architecture to overcome the trilemma, specializing one layer for low-latency finality and the other for extensive decentralization.
Decoupling Coding and Commitment Strengthens Data Availability Sampling Assurance
A new Data Availability Sampling paradigm uses Random Linear Network Coding to generate coded samples on-the-fly, achieving significantly stronger security assurance for light clients.
Multi-Curve Single-Root Identity Primitive Secures Post-Quantum Decentralization
MSCIKDF is a new cryptographic identity primitive that enables cryptographically isolated identity streams across diverse protocols, securing the transition to post-quantum cryptography.
Zero-Knowledge Mechanisms Decouple Commitment from Disclosure in Protocol Design
Research pioneers a cryptographic primitive that proves a mechanism's incentive properties and execution correctness without revealing its secret rules.
Pod Consensus Achieves Optimal Latency and Censorship Resistance
The Pod consensus notion eliminates inter-replica communication to achieve $2delta$ optimal latency, enabling high-speed, censorship-resistant decentralized applications.
Decentralized Checkpointing Foils Proof-of-Stake Long-Range Attacks with Coin Holder Votes
Winkle introduces a decentralized checkpointing primitive, leveraging coin holder transaction-embedded votes to cryptoeconomically secure PoS history against long-range key compromise.
Decentralized Arrangers Secure Layer Two Rollups with Set Consensus
A novel Decentralized Arranger, powered by Set Byzantine Consensus, eliminates centralized L2 sequencer risk, unlocking true rollup trustlessness.
Proposer-Builder Separation Shifts Centralization to Block Builders
Mathematical models quantify how Proposer-Builder Separation equalizes validator rewards but concentrates power in a few skilled block builders, creating a Proof-of-MEV paradigm.
Data Availability Sampling Decouples Scaling from Node Bandwidth
PeerDAS leverages erasure coding and random sampling to verify data availability, reducing node bandwidth by 85% and unlocking massive Layer 2 throughput.
