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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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WARP Graphs: Canonical State Evolution and Deterministic Worldlines

Authors: Ross, James;

WARP Graphs: Canonical State Evolution and Deterministic Worldlines

Abstract

Paper I introduced warp graphs (warps) as a well-founded "graphs all the way down" state object. This paper equips warp states with an operational semantics based on double-pushout rewriting with interfaces (DPOI) in an adhesive category of typed open graphs.The central result is a deterministic concurrent semantics at the level of a tick: for any scheduler-admissible batch of skeleton rewrites, the committed successor is independent (up to typed open graph isomorphism) of the internal serialisation order. States are packaged as two-plane objects U = (G; α, β), with a skeleton G ∈ OGraphT and recursively attached warps over each vertex and edge. We prove that attachment-plane rewrites commute with skeleton publication up to canonical transport along preserved structure, formalised via a projection functor π : WState → OGraphT equipped with a chosen reindexing (cleavage).To connect the mathematics to deterministic replay, we isolate the scheduler as a total policy σ : WState → Batch and define a tick receipt whose core is a "tick event poset" recording which candidate matches were accepted and which were rejected by deterministic conflict resolution. Under tick confluence, this poset quotients to the same committed state, providing a clean bridge to provenance traces (Paper III).

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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