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This arXiv preprint proposes a formal algebra for reasoning about transformers, built on functional decompositions with sequential and parallel composition, recursion, and abstraction. Earlier theory mostly asked what transformers can compute, so a logical framework for modeling their structure is a different kind of contribution. It is an early-stage theoretical proposal, and its practical value depends on whether the algebra can scale to real models and yield usable verification results.
Surse care acoperăarXiv, Quantum Zeitgeist, LessWrong, Hugging Face

An Algebra of Transformers

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2610.36795v1 Announce Type: cross Abstract: On the theoretic analyses on transforms, they mainly focus on the computability analysis, such the Turing-completeness of unbounded precision transformers, the advantage of parallelizability of unbounded precision transformers and the limitations of bounded precision transformers. This paper give transformers an algebra for reasoning, which relies heavily on the functional decomposition results of transformers. This algebra uses functional decompositions as atomic actions, includes sequential composition and parallel composition, recursion for feedback and abstraction for hidden layers. As we know, it is the first attempt to model transformers logically and can be used to verify the correctness of transformer based applications.

Abstract:On the theoretic analyses on transforms, they mainly focus on the computability analysis, such the Turing-completeness of unbounded precision transformers, the advantage of parallelizability of unbounded precision transformers and the limitations of bounded precision transformers. This paper give transformers an algebra for reasoning, which relies heavily on the functional decomposition results of transformers. This algebra uses functional decompositions as atomic actions, includes sequential composition and parallel composition, recursion for feedback and abstraction for hidden layers. As we know, it is the first attempt to model transformers logically and can be used to verify the correctness of transformer based applications.

Logic in Computer Science (cs.LO); Artificial Intelligence (cs.AI)

arXiv:2610.36795 [cs.LO]

(or arXiv:2610.36795v1 [cs.LO] for this version)

https://doi.org/10.48550/arXiv.2610.36795 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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