Related papers: SoK: Liquid Staking Tokens (LSTs) and Emerging Trends in Restaking

Related papers

Hybrid Stabilization Protocol for Cross-Chain Digital Assets Using Adaptor Signatures and AI-Driven Arbitrage [0.2621730497733947]
Stablecoins face an unresolved trilemma of balancing decentralization, stability, and regulatory compliance.<n>We present a hybrid cryptographic stabilization protocol that combines crypto-collateralized reserves, algorithmic futures contracts, and cross-chain pools.
arXiv Detail & Related papers (2025-06-06T03:14:05Z)
Proof of Useful Intelligence (PoUI): Blockchain Consensus Beyond Energy Waste [1.3846014191157405]
Technology enables secure, transparent data management in decentralized systems. It supports applications from cryptocurrencies like Bitcoin to tokenizing real-world assets like property. We propose Proof of Useful Intelligence (PoUI), a hybrid consensus mechanism.
arXiv Detail & Related papers (2025-04-24T13:32:03Z)
Phantom Events: Demystifying the Issues of Log Forgery in Blockchain [31.570414211726888]
We present the first in-depth security analysis of transaction log forgery in EVM-based blockchains. We propose a tool designed to detect event forgery vulnerabilities in smart contracts. We have successfully identified real-world instances for all five types of attacks across multiple decentralized applications.
arXiv Detail & Related papers (2025-02-19T08:07:26Z)
BrokerChain: A Blockchain Sharding Protocol by Exploiting Broker Accounts [30.62752646978089]
We propose BrokerChain, a cross-shard protocol dedicated to account-based state sharding.<n>We show that BrokerChain outperforms other baselines in terms of transaction throughput, transaction confirmation latency, the queue size of the transaction pool, and workload balance.
arXiv Detail & Related papers (2024-12-10T05:41:59Z)
Mitigating Challenges in Ethereum's Proof-of-Stake Consensus: Evaluating the Impact of EigenLayer and Lido [4.606106768645647]
The transition from a Proof-of-Work (PoW) to a Proof-of-Stake (PoS) consensus mechanism introduces a transformative approach to blockchain validation. This paper explores two innovative solutions: EigenLayer and Lido. We conclude with an evaluation of the combined potential of EigenLayer and Lido to foster a more resilient and inclusive ecosystem.
arXiv Detail & Related papers (2024-10-30T19:58:46Z)
CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing [70.25689961697523]
We propose a generalizable algorithm that enhances sequential reasoning by cross-task experience sharing and selection. Our work bridges the gap between existing sequential reasoning paradigms and validates the effectiveness of leveraging cross-task experiences.
arXiv Detail & Related papers (2024-10-22T03:59:53Z)
SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification. It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
arXiv Detail & Related papers (2024-08-30T07:15:43Z)
Generative Blockchain: Transforming Blockchain from Transaction Recording to Transaction Generation through Proof-of-Merit [5.801684954657074]
generative blockchain aims to transform conventional blockchain technology by combining transaction generation and recording. Central to our design is a novel consensus mechanism, Proof-of-Merit (PoM) We demonstrate PoM on a ride service on-demand platform, where the task of solving complex transaction-generating problems is delegated to a pool of independent problem solvers.
arXiv Detail & Related papers (2024-08-23T20:51:10Z)
RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform [2.90114256542208]
Current blockchain-based reputation solutions for crowdsourcing fail to tackle the challenge of ensuring both efficiency and privacy without compromising the scalability of the blockchain. This paper introduces RollupTheCrowd, a novel blockchain-powered crowdsourcing framework that leverages zkRollups to enhance system scalability while protecting user privacy. Our framework includes an effective and privacy-preserving reputation model that gauges workers' trustworthiness by assessing their crowdsourcing interactions.
arXiv Detail & Related papers (2024-07-02T12:51:32Z)
MEV Ecosystem Evolution From Ethereum 1.0 [6.151915040556504]
In traditional finance, there are possibilities to create values, e.g., arbitrage offers to create value from market inefficiencies or front-running offers to extract value for the participants having privileged roles. Such opportunities are readily available in DeFi ecosystems, where diverse participants engage in financial activities. In this survey, first, we show how lucrative such opportunities can be. Then, we discuss how protocolfollowing participants trying to capture such opportunities threaten to sabotage blockchain's performance. Finally, we review the current state of research trying to restore trustlessness and decentralization to provide all DeFi participants with a fair marketplace
arXiv Detail & Related papers (2024-06-19T14:22:26Z)
Fuzzychain: An Equitable Consensus Mechanism for Blockchain Networks [12.433289572707212]
Fuzzychain is a proposed solution to the drawbacks of Proof of Stake (PoS) It introduces the use of fuzzy sets to define stake semantics, promoting decentralised and distributed processing control. Our results indicate that Fuzzychain not only matches PoS in functionality but also ensures a fairer distribution of stakes among validators.
arXiv Detail & Related papers (2024-04-20T10:01:40Z)
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy. This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
arXiv Detail & Related papers (2024-03-28T07:08:26Z)
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions [31.18229828293164]
Federated learning (FL) is a distributed machine learning approach that protects user data privacy by training models locally on clients and aggregating them on a parameter server. While effective at preserving privacy, FL systems face limitations such as single points of failure, lack of incentives, and inadequate security. To address these challenges, blockchain technology is integrated into FL systems to provide stronger security, fairness, and scalability.
arXiv Detail & Related papers (2024-03-01T07:41:05Z)
Transaction Capacity, Security and Latency in Blockchains [35.16231062731263]
We analyze how secure a block is after the block becomes k-deep, i.e., security-latency, for Nakamoto consensus. We compare our results for Nakamoto consensus under bounded network delay models and obtain analogous bounds for safety violation threshold.
arXiv Detail & Related papers (2024-02-15T17:43:13Z)
Empirical and Theoretical Analysis of Liquid Staking Protocols [3.2963988742807295]
Liquid staking protocols allow for earning staking rewards without the disadvantage of locking the capital at the validators. They are seen by some as a threat to the Proof-of-Stake blockchain security. This paper is the first work that classifies liquid staking implementations.
arXiv Detail & Related papers (2024-01-29T17:56:45Z)
Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study [73.87110604150315]
Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology. In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
arXiv Detail & Related papers (2024-01-28T10:46:17Z)
Uniswap Liquidity Provision: An Online Learning Approach [49.145538162253594]
Decentralized Exchanges (DEXs) are new types of marketplaces leveraging technology. One such DEX, Uniswap v3, allows liquidity providers to allocate funds more efficiently by specifying an active price interval for their funds. This introduces the problem of finding an optimal strategy for choosing price intervals. We formalize this problem as an online learning problem with non-stochastic rewards.
arXiv Detail & Related papers (2023-02-01T17:21:40Z)
Token Spammers, Rug Pulls, and SniperBots: An Analysis of the Ecosystem of Tokens in Ethereum and in the Binance Smart Chain (BNB) [50.888293380932616]
We study the ecosystem of the tokens and liquidity pools. We find that about 60% of tokens are active for less than one day. We estimate that 1-day rug pulls generated $240 million in profits.
arXiv Detail & Related papers (2022-06-16T14:20:19Z)
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning [101.28281124670647]
Open-set semi-supervised learning (open-set SSL) investigates a challenging but practical scenario where out-of-distribution (OOD) samples are contained in the unlabeled data. We propose a novel training mechanism that could effectively exploit the presence of OOD data for enhanced feature learning. Our approach substantially lifts the performance on open-set SSL and outperforms the state-of-the-art by a large margin.
arXiv Detail & Related papers (2021-08-12T09:14:44Z)
Decentralized Basic Income: Creating Wealth with On-Chain Staking and Fixed-Rate Protocols [0.0]
We evaluate the mechanisms behind the decentralized finance protocols for generating stable, passive income. Currently, such savings interest rates can be as high as 20% annually, payable in traditional currency values such as US dollars. We will discuss potential pitfalls, assess how these protocols may behave in market cycles, as well as suggest areas for further research and development.
arXiv Detail & Related papers (2021-07-29T20:21:55Z)

This list is automatically generated from the titles and abstracts of the papers in this site.