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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Lifted Payments Payment Statement Audit Model

Abstract

A processor-neutral, machine-readable model for normalizing monthly merchant payment-processing statements without storing cardholder data. Package 1.1.6 preserves the schema 1.1.0 record contract. The release includes a JSON Schema Draft 2020-12 contract, Decimal-safe Python validator, CSV template, synthetic example, exact field definitions, two registered valid vectors, seventeen deliberately invalid vectors, a reproducible validation report, exact dependency pins, SHA-256 inventory, public threat model, and fail-closed publication gate. Version 1.1.6 replaces Kaggle's eventually consistent search catalog with its canonical dataset-view endpoint, requires exact dataset owner and slug identity, and verifies Kaggle's platform-expanded release tree path-by-path and byte-for-byte against the canonical archive. It retains deterministic archives, exact Zenodo and Hugging Face inventories, immutable-commit Hugging Face verification, stale-mirror rejection, corrupt-compression rejection, truncated-card screening, Unicode-control rejection, and provenance regression coverage. The exact merge passed 92 tests, package gate 15/15, and tagged candidate gate 16/16. Ruff, compileall, Gitleaks, and pip-audit passed; Bandit reported zero medium or high findings. The model and gate are normalization, integrity, and declared-provenance aids. They are not an accounting opinion, legal review, interchange-pricing guarantee, malware sandbox, qualification determination, price quote, digital signature, or guarantee of savings. Automated screening cannot prove arbitrary notes contain no confidential information; human review remains required before public release. No real merchant or cardholder data is included. Canonical documentation: https://liftedpayments.com/payment-processing-statement-audit/Versioned source: https://github.com/Lifted-Holdings/payment-processing-resources/releases/tag/v1.1.6Security policy: https://github.com/Lifted-Holdings/payment-processing-resources/blob/v1.1.6/SECURITY.mdVersion DOI: https://doi.org/10.5281/zenodo.21765732Release archive SHA-256: bf533a93f9647c7dfd75049cd835e8d9d67daf4e9144f662d3b792c8deabb10a

Keywords

statement audit, payment processing, cost analysis, payments data, fintech, JSON Schema, effective rate, merchant services

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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