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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Research . 2025
License: CC BY
Data sources: Datacite
ZENODO
Research . 2025
License: CC BY
Data sources: Datacite
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Parallelized Merkle-Tree Validation in Proof-of-Work Mining

descriptionPublicationkeyboard_double_arrow_right Research , Other literature type 24 Jun 2025Publisher:Zenodo
Authors: Kessler, Andrew;

doi: 10.5281/zenodo.15730747 , 10.5281/zenodo.15730748

Parallelized Merkle-Tree Validation in Proof-of-Work Mining

Abstract

Based on DPoWW consensus, it is possible to parallelise validation payloads, critical for scaling miner throughput. While a statistical approach is possible in the future, a more secure and robust deterministic approach is detailed here. The pair wise coverage of a fragmented Merkle Tree is described as well as Steiner Triple Systems approach trading off validation payload sze against number of mineres required to guarantee fault tolerance. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green