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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Execution-Time Evidence Objects (ETEOs) for Gambling & Gaming Payment Integrity

Authors: Giuliano, Tony;

Execution-Time Evidence Objects (ETEOs) for Gambling & Gaming Payment Integrity

Abstract

This technical specification defines Execution-Time Evidence Objects (ETEOs) for gambling and gaming environments where payment integrity, dispute resolution, and regulatory defensibility depend on non-reconstructive records.The specification describes a method for generating execution-time, chain-of-custody evidence at the moment wagers, outcomes, settlements, or operational actions occur, rather than relying on reconstructed logs or post-hoc data aggregation.ETEOs are designed to support audit-defensible dispute handling across:• Player chargebacks and payment disputes• Operator-processor settlement reconciliation• AML, responsible gaming, and regulator inquiries• Platform integrity and third-party reviewThe framework prioritizes privacy-preserving capture, cryptographic linkage, and contemporaneous evidence generation to reduce reliance on narrative explanations or reconstructed records in high-risk payment and compliance workflows.

Keywords

audit defensibility, chain of custody, non-repudiation, gambling payments, payment integrity, chargeback disputes, gaming compliance, execution-time evidence

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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
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