Proof of Contribution Quantifies Open-Source Impact with Dynamic Tearank Algorithm
A novel consensus mechanism leverages a page-rank style algorithm to objectively measure open-source project impact, ensuring equitable attribution across complex dependencies.
Pod: Optimal-Latency, Censorship-Free, Accountable Generalized Consensus Layer
A novel consensus primitive eliminates inter-replica communication, achieving physically optimal latency and enabling high-speed, accountable decentralized applications.
Nil Message Compute Redefines Decentralized Computation beyond Blockchain Consensus
Nil Message Compute introduces a cryptographic framework for secure, private, and scalable decentralized computation, transcending traditional blockchain limitations.
Blockchain Framework Fosters Transparent, Incentive-Compatible LLM Multi-Agent Collaboration
A novel blockchain framework enables decentralized Large Language Model agents to collaborate transparently with aligned incentives, overcoming centralized coordination limitations.
EdDSA Chains Achieve Quantum Safety with Zero-Knowledge Proofs
A novel zero-knowledge proof system enables quantum-safe upgrades for EdDSA blockchains, securing dormant assets without disruptive wallet changes.
Inner-Product Arguments over Integers for Succinct Zero-Knowledge Proofs
This research extends inner-product arguments to integers, enabling succinct, batchable zero-knowledge proofs for arithmetic circuits and range proofs.
Sublinear-Space Zero-Knowledge Proofs Enable Pervasive Verifiable Computation.
This research introduces the first sublinear-space zero-knowledge prover, transforming proof generation into a tree evaluation problem to unlock on-device verifiable computation.
Dynamic Committee Rotation Enhances Asynchronous Consensus Security and Scalability
This research introduces a novel dynamic committee rotation mechanism, proactively mitigating collusion risks in asynchronous Byzantine fault-tolerant protocols.
Blockchain-Enabled Sharded SplitFed Learning for Secure Distributed AI
Introducing a blockchain-enabled, sharded architecture with committee consensus to secure and scale distributed machine learning against centralized vulnerabilities.
