Succinct Accumulator Lower Bound Imposes Fundamental Stateless Client Efficiency Limits
Foundational proof establishes a super-linear lower bound on total witness updates for succinct accumulators, limiting stateless client scalability.
Formalizing Global Platform Architectures via Essential Agent Cardinality
A new mathematical framework rigorously classifies all digital platforms by quantifying the minimal set of essential agents required for system operation.
Biomimetic Sybil-Resistance Enables Four Orders of Magnitude Consensus Speed and Security
The first asymmetric Sybil-resistance method, Proof-of-Balance, adapts biological signaling to allow honest agents to retain network control without matching adversary's budget, yielding a 40,000x security and speed increase.
Formal Specification Refinement Enables Safe, Verifiable Smart Contract Evolution
New refinement framework shifts to a "specification is law" paradigm, enabling safe, formally verified contract upgrades while preserving essential properties.
Revelation Mechanisms Enforce Truthful Consensus in Proof-of-Stake Systems
Game theory's revelation mechanisms enforce truthful block proposals in PoS, resolving disputes and fundamentally enhancing decentralized coordination.
Multi-Layered Stratification Provides Consistent Methodology for Measuring True Decentralization
A stratified, eight-layer methodology and a Minimum Decentralization Test now formally measure and unify the contested semantics of blockchain decentralization.
Zero-Knowledge Proofs Secure Mechanism Design without Revealing Rules
A new cryptographic framework enables verifiable, private mechanism design by using zero-knowledge proofs to commit to rules without public disclosure, eliminating trusted mediators.
Six Trust Primitives Formalize Security for the Autonomous Agentic Web
A new framework classifies inter-agent trust into six primitives—from cryptographic proof to economic stake—enabling secure, scalable AI agent protocols.
AMM Mechanism Achieves Strategy Proofness through Constant Potential Function
Designing Automated Market Makers with a constant potential function provably eliminates miner arbitrage, fundamentally securing on-chain trading.
