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Zero-Error Recovery from Deterministic Partial Views

Authors: Simas, Tristan;

Zero-Error Recovery from Deterministic Partial Views

Abstract

We study zero-error recovery from deterministic partial views of a finite latent tuple. Admissible views induce a confusability graph on latent states, so exact recovery with a T-ary auxiliary tag is equivalent to T-colorability. In the full coordinate-view model on the labeled tuple space, the realizable confusability relations are exactly those determined by upward-closed families of coordinate-agreement sets. Block composition maps the one-shot confusability graph to its strong powers, yielding Shannon-capacity limits and the standard Lovász-ϑ upper theory. Transitive confusability gives a route to the cluster-graph equality case, with meet-witnessing and fiber coherence as sufficient conditions. Under an affine restriction on the realized state family, the coordinate side carries a representable matroid whose rank gives tractable upper bounds on confusability and capacity, and the unit-rate boundary is characterized by zero-delay synchronization together with structural side-information.

Keywords

formal methods, language design, Single Source of Truth, epistemic coherence, encoding systems

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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