Replication Data for: Bitcoin Under Volatile Block Rewards: How Mempool Statistics Can Influence Bitcoin Mining

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Provided by Catholic University of Leuven

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Dataset information

Country of origin
Updated
2026.03.17 15:33
Created
2026.03.17
Available languages
English
Keywords
MDP, Asynchronous Advantage Actor-Critic, A3C, Bitcoin, Markov Decision Process
Quality scoring

Dataset description

Bitcoin / MDP + A3C implementation: This repository provides a Python implementation of two analysis tools—one based on a Markov Decision Process (MDP) and one based on Asynchronous Advantage Actor-Critic (A3C)—introduced in the paper. The implementation is intended to evaluate Bitcoin’s security as the block subsidy continues to halve and converges to zero, with a focus on how mempool statistics can influence miner behavior. It models decision-making and incentives under volatile rewards rather than presenting an empirical collection. The scope of the repository is the executable code and experiment framework needed to reproduce and study the paper’s security analysis.
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190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
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