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Cosmic voids are extensive underdense environments whose morphology, density profiles, and peculiar velocities preserve information about the gravitational formation of large-scale structure. Their evolution reflects both the redistribution of matter within the cosmic web and the background expansion governing late-time growth. This article develops a conceptual review of how void environments can inform comparisons among dark-energy cosmologies while remaining sensitive to the procedures through which voids are identified from galaxy surveys. Particular attention is given to hierarchical void-in-void and void-in-cloud evolution, evolving merger histories, watershed and spherical catalog definitions, and the relationship between galaxy tracers and the underlying matter density. The analysis discusses why mean radial profiles, surrounding compensation, coherent velocities, void-galaxy correlations, and Alcock–Paczynski anisotropies can provide complementary cosmological information without constituting assumption-free observables. Observed void characteristics depend on the conversion from angles and redshifts into positions, redshift-space distortions, tracer sparsity, survey masks, and choices in density reconstruction. Consequently, comparisons across redshift or between theoretical models require forward modeling and validated covariance estimates. Drawing on five published theoretical, simulation, and observational studies, the article distinguishes physical changes in underdense regions from changes in their catalog representation and argues that robust dark-energy tests should jointly evaluate geometry, growth, and selection effects. No new numerical measurements or simulations are claimed. The central conclusion is that voids offer an informative complementary perspective on the cosmic web when their statistical definitions and measurement systematics are included explicitly in cosmological inference.
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Rashford et al. (2026) studied this question.
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