Predictable universally unique identification of sequential events on complex objects
Davi Pereira-Santos (1), Gabriel Dalforno (1), Andr\'e C. P. L. F., Carvalho (1) ((1) Instituto de Ci\^encias Matem\'aticas e de, Computa\c{c}\~ao, Universidade de S\~ao Paulo)

TL;DR
This paper introduces a new type of universal identifier based on the sequence of events leading to an object's creation, enabling predictable and relationship-aware identification in complex systems.
Contribution
It proposes a novel identifier scheme derived from algebraic operations on event sequences, allowing prediction and efficient retrieval without full processing.
Findings
Identifiers can be predicted from event sequences.
Supports relationship inference between objects.
Enables efficient database checks for object content.
Abstract
Universal identifiers and hashing have been widely adopted in computer science from distributed financial transactions to data science. This is a consequence of their capability to avoid many shortcomings of relative identifiers, such as limited scope and the need for central management. However, the current identifiers in use are isolated entities which cannot provide much information about the relationship between objects. As an example, if one has both the identifiers of an object and its transformed version, no information about how they are related can be obtained without resorting to some kind of authority or additionally appended information. Moreover, given an input object and an arbitrarily long sequence of costly steps, one cannot currently predict the identifier of the outcome without actually processing the entire sequence. The capability of predicting the resulting…
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Taxonomy
TopicsFault Detection and Control Systems
