Explore the foundational ideas of crypto. The Research category breaks down cutting-edge whitepapers, academic studies, and the technical theories shaping the future of blockchain technology.
This research reveals Maximal Extractable Value as the primary bottleneck for blockchain scaling, proposing programmable privacy and explicit bidding for efficient resource allocation.
This research establishes a formal theory of Maximal Extractable Value, providing a rigorous abstract model for understanding and mitigating blockchain economic attacks.
This research introduces ZKP protocols with optimal prover efficiency for any circuit, removing trusted setup constraints and enabling practical large-scale verifiable computation.
ZKTorch introduces a parallel proof accumulation system for ML inference, fundamentally enhancing transparency while safeguarding proprietary model weights.
This research introduces novel zero-knowledge proof protocols that achieve linear prover time and distributed generation, fundamentally advancing privacy-preserving computation.
This survey illuminates how Zero-Knowledge Proofs fundamentally reshape computational integrity and privacy across distributed systems, enabling secure, data-private interactions.
This research introduces cryptographic primitives enabling scalable zero-knowledge proofs for private analytics and delegated computation, fundamentally reshaping decentralized system efficiency.
This research establishes Maximal Extractable Value as the primary economic bottleneck for blockchain scalability, proposing a novel auction design for efficient blockspace utilization.
This research establishes a foundational, abstract model for Maximal Extractable Value, enabling rigorous security proofs and advancing blockchain integrity.
This research identifies MEV-driven spam as the primary scaling bottleneck, proposing programmable privacy and explicit auctions to unlock efficient blockspace.
This breakthrough reconfigures ZKP generation as tree evaluation, enabling proofs on resource-limited devices and expanding verifiable computation's reach.
This research fundamentally redefines transaction fee mechanism design by integrating active block producer behavior and proposing a novel sybil-proof auction for enhanced welfare.
This research establishes a rigorous, abstract model for Maximal Extractable Value, enabling formal security proofs for blockchain protocols and smart contracts.
This research introduces Execution Tickets, a protocol-integrated mechanism to distribute Maximal Extractable Value, fostering a more equitable and robust blockchain economy.
This research introduces a novel transaction fee mechanism, overcoming a foundational impossibility theorem to ensure miner incentives and user truthfulness in blockchain networks.
This research establishes a formal theory for Maximal Extractable Value (MEV), providing a foundational framework to analyze and mitigate economic attacks on public blockchains.
This research introduces novel ZKP protocols that achieve linear prover time and distributed proof generation, fundamentally enhancing blockchain scalability and privacy.
This research establishes a rigorous theoretical framework for MEV, enabling formal security proofs against economic manipulation in blockchain protocols.
This research introduces the SAKA mechanism, a sybil-proof, incentive-compatible transaction fee design that mitigates MEV's negative impact on blockchain welfare.
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