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Other literature type . 2026
License: CC BY
Data sources: ZENODO
SSRN Electronic Journal
Article . 2026 . Peer-reviewed
Data sources: Crossref
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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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Pure Computation and Governed Mutation: Capability Transforms and Side Effects in Protocol-Governed Systems

Authors: Ganti, Bhash;

Pure Computation and Governed Mutation: Capability Transforms and Side Effects in Protocol-Governed Systems

Abstract

This paper formalizes the architectural separation between pure computation and governed mutation in protocol-governed systems. Building on the execution model defined in Paper 6 [Bachi, 2026f], it specifies the semantic boundary between Capability Transforms (CT_) and Capability Side Effects (CS_). We define purity invariants for transforms, mutation declaration requirements for side effects, ordering guarantees, replay constraints, and mutation surface bounding. This separation is shown to be necessary for deterministic replay, trace completeness, and structural enforceability. This paper does not analyze security implications (Paper 8), execution engine architecture (Paper 6), governance mechanics (Paper 4), or lifecycle economics (Paper 9). Its purpose is definitional: to formalize the world-interaction boundary that enables determinism and auditability guarantees.

Keywords

Software Engineering, Programming Languages, Software Architecture

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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