Pith. sign in

REVIEW 1 cited by

Higher Dimensional Graphics: Conceiving Worlds in Four Spatial Dimensions and Beyond

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2103.14627 v1 pith:IVTHDBWP submitted 2021-03-26 cs.HC cs.CGcs.GR

classification cs.HCcs.CGcs.GR
keywords applicationscontributionsdimensionaldimensionsgeometryhighershapesspatial
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

While the interpretation of high-dimensional datasets has become a necessity in most industries, and is supported by continuous advances in data science and machine learning, the spatial visualization of higher-dimensional geometry has mostly remained a niche research topic for mathematicians and physicists. Intermittent contributions to this field date back more than a century, and have had a non-negligible influence on contemporary art and philosophy. However, most contributions have focused on the understanding of specific mathematical shapes, with few concrete applications. In this work, we attempt to revive the community's interest in visualizing higher dimensional geometry by shifting the focus from the visualization of abstract shapes to the design of a broader hyper-universe concept, wherein 3D and 4D objects can coexist and interact with each other. Specifically, we discuss the content definition, authoring patterns, and technical implementations associated with the process of extending standard 3D applications as to support 4D mechanics. We operationalize our ideas through the introduction of a new hybrid 3D/4D videogame called Across Dimensions, which we developed in Unity3D through the integration of our own 4D plugin.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. HyperShadow: A Benchmark for Detecting 3D Projections of Higher-Dimensional Spatial Objects

    cs.LG 2026-07 conditional novelty 7.0 of 10

    Shadows of 4D–6D objects projected to 3D are detectable by learned point-cloud models and by a zero-parameter rigidity residual, but not by intrinsic-dimension estimation.

Pith tools