Tootfinder

A Generic Framework for Optimization in Blockchain Simulators
Hou-Wan Long, Yujun Pan, Xiongfei Zhao, Yain-Whar Si
https://arxiv.org/abs/2508.04157 https://

A Generic Framework for Optimization in Blockchain Simulators
As blockchain technology rapidly evolves, researchers face a significant challenge due to diverse and non-standardized simulation parameters, which hinder the replicability and comparability of research methodologies. This paper introduces a Generic Framework for Optimization in Blockchain Simulators (GFOBS), a comprehensive and adaptable solution designed to standardize and optimize blockchain simulations. GFOBS provides a flexible platform that supports various optimization algorithms, variab…

SoK: Preconfirmations
Aikaterini-Panagiota Stouka, Conor McMenamin, Demetris Kyriacou, Lin Oshitani, Quentin Botha
https://arxiv.org/abs/2510.02947 https://

SoK: Preconfirmations
In recent years, significant research efforts have focused on improving blockchain throughput and confirmation speeds without compromising security. While decreasing the time it takes for a transaction to be included in the blockchain ledger enhances user experience, a fundamental delay still remains between when a transaction is issued by a user and when its inclusion is confirmed in the blockchain ledger. This delay limits user experience gains through the confirmation uncertainty it brings f…

Autonomous Dominant Resource Fairness for Blockchain Ecosystems
Serdar Metin
https://arxiv.org/abs/2507.16350 https://arxiv.org/pdf/2…

Autonomous Dominant Resource Fairness for Blockchain Ecosystems
Blockchain systems have been a part of mainstream academic research, and a hot topic at that. It has spread to almost every subfield in the computer science literature, as well as economics and finance. Especially in a world where digital trust is much sought for, blockchains offer a rich variety of desired properties, such as immutability, public auditing, decentralised record keeping, among others. Not only has it been a research topic of its own, the integration of blockchains into other sys…

4-Swap: Achieving Grief-Free and Bribery-Safe Atomic Swaps Using Four Transactions
Kirti Singh (Indian Institute of Technology Bombay, India, Institute for Development and Research in Banking Technology, Hyderabad, India), Vinay J. Ribeiro (Indian Institute of Technology Bombay, India), Susmita Mandal (Institute for Development and Research in Banking Technology, Hyderabad, India)

4-Swap: Achieving Grief-Free and Bribery-Safe Atomic Swaps Using Four Transactions
Cross-chain asset exchange is crucial for blockchain interoperability. Existing solutions rely on trusted third parties and risk asset loss, or use decentralized alternatives like atomic swaps, which suffer from grief attacks. Griefing occurs when a party prematurely exits, locking the counterparty's assets until a timelock expires. Hedged Atomic Swaps mitigate griefing by introducing a penalty premium; however, they increase the number of transactions from four (as in Tier Nolan's swap) to six…

Smart Contract-Enabled Procurement under Bounded Demand Variability: A Truncated Normal Approach
Jinho Cha, Youngchul Kim, Junyeol Ryu, Sangjun Park, Jeongho Kang, Hyeyoung Hwang
https://arxiv.org/abs/2510.07801

Smart Contract-Enabled Procurement under Bounded Demand Variability: A Truncated Normal Approach
This study develops a strategic procurement framework integrating blockchain-based smart contracts with bounded demand variability modeled through a truncated normal distribution. While existing research emphasizes the technical feasibility of smart contracts, the operational and economic implications of adoption under moderate uncertainty remain underexplored. We propose a multi-supplier model in which a centralized retailer jointly determines the optimal smart contract adoption intensity and …

Markov Chain-based Model of Blockchain Radio Access Networks
Vasileios Kouvakis, Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Hongwu Liu, Theodoros A. Tsiftsis, Octavia A. Dobre
https://arxiv.org/abs/2508.14519

Markov Chain-based Model of Blockchain Radio Access Networks
Security has always been a priority, for researchers, service providers and network operators when it comes to radio access networks (RAN). One wireless access approach that has captured attention is blockchain enabled RAN (B-RAN) due to its secure nature. This research introduces a framework that integrates blockchain technology into RAN while also addressing the limitations of state-of-the-art models. The proposed framework utilizes queuing and Markov chain theory to model the aspects of B-RA…

Composable Life: Speculation for Decentralized AI Life
Botao Amber Hu, Fangting
https://arxiv.org/abs/2508.20668 https://arxiv.org/pdf/2508.20668

Composable Life: Speculation for Decentralized AI Life
"Composable Life" is a hybrid project blending design fiction, experiential virtual reality, and scientific research. Through a multi-perspective, cross-media approach to speculative design, it reshapes our understanding of the digital future from AI's perspective. The project explores the hypothetical first suicide of an on-chain artificial life, examining the complex symbiotic relationship between humans, AI, and blockchain technology.

Bridging Cloud Convenience and Protocol Transparency: A Hybrid Architecture for Ethereum Node Operations on Amazon Managed Blockchain
S M Mostaq Hossain, Amani Altarawneh, Maanak Gupta
https://arxiv.org/abs/2507.18774

Bridging Cloud Convenience and Protocol Transparency: A Hybrid Architecture for Ethereum Node Operations on Amazon Managed Blockchain
As blockchain technologies are increasingly adopted in enterprise and research domains, the need for secure, scalable, and performance-transparent node infrastructure has become critical. While self-hosted Ethereum nodes offer operational control, they often lack elasticity and require complex maintenance. This paper presents a hybrid, service-oriented architecture for deploying and monitoring Ethereum full nodes using Amazon Managed Blockchain (AMB), integrated with EC2-based observability, IA…

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain
Calkin Garg, Omar Rios Cruz, Tessa Andersen, Gaby G. Dagher, Donald Winiecki, Min Long

Quantum Blockchain Survey: Foundations, Trends, and Gaps
Saurav Ghosh
https://arxiv.org/abs/2507.13720 https://arxiv.org/pdf/2507.137…

Quantum Blockchain Survey: Foundations, Trends, and Gaps
Quantum computing poses fundamental risks to classical blockchain systems by undermining widely used cryptographic primitives. In response, two major research directions have emerged: post-quantum blockchains, which integrate quantum-resistant algorithms, and quantum blockchains, which leverage quantum properties such as entanglement and quantum key distribution. This survey reviews key developments in both areas, analyzing their cryptographic foundations, architectural designs, and implementat…

Crosslisted article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain
Calkin Garg, Omar Rios Cruz, Tessa Andersen, Gaby G. Dagher, Donald Winiecki, Min Long

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
Lei Yu, Shiqi Cheng, Zhirong Huang, Jingyuan Zhang, Chenjie Shen, Junyi Lu, Li Yang, Fengjun Zhang, Jiajia Ma
https://arxiv.org/abs/2507.22371

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
With the increasing security issues in blockchain, smart contract vulnerability detection has become a research focus. Existing vulnerability detection methods have their limitations: 1) Static analysis methods struggle with complex scenarios. 2) Methods based on specialized pre-trained models perform well on specific datasets but have limited generalization capabilities. In contrast, general-purpose Large Language Models (LLMs) demonstrate impressive ability in adapting to new vulnerability pa…