RowFIN Artifact: Code and Datasets for "RowFIN: Scalable and Verifiable Funding for Web3 Services"

RowFIN is a research prototype for scalable and verifiable funding of long-lived Web3 services. Instead of relying on global coordination for every subscription, RowFIN uses reputation-weighted verifiable selection so that providers can determine their eligibility locally, while clients interact with only a bounded subset of providers.

This dataset contains the research code used during the development and evaluation of ROWFIN. It includes Python simulations for payout fairness, convergence, and large-scale provider selection; Rust experiments evaluating the scalability of FROST-based threshold signing; and an end-to-end Rust prototype implementing the core subscription workflow using public randomness, VRF-based selection, authenticated reputation snapshots, Merkle proofs, and peer-to-peer communication.

The repository is provided as an archive of the research software underlying the accompanying manuscript, RowFIN: Scalable and Verifiable Funding for Web3 Services. It should be considered research prototype code rather than a fully automated reproducibility package. Some experiments require manual configuration, experiment-specific parameters, or intermediate data not included in the archive.

The RowFIN work is presented as part of the first author's PhD thesis. A dedicated research paper based on this work is currently unpublished and is intended for future submission.

The software is released under the MIT License.