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With ever increasing progression of digitization most industries and parts of everyday life become digital. From the most complex tasks executed by sophisticated AI to the simplest of movements of data, the impact on our lives might be incredibly profound. For such things not be put under extreme scrutiny, there needs to be a certain level of trust. In the case of digital processes there is the unique opportunity to rely on something usually unattainable for society: truth.
The following paper aims specifically to address the issue of trust for asset data tampering and how to achieve it through a truth. Truth derived trust is important due to the essential part it plays for the creation of a trusted exchange of data in the digital age.