{
  "id": 16124,
  "url": "https://arxiv.org/abs/2608.01477v1",
  "title": "A Data-Centric Perspective on Tree Visualizations",
  "summary": "Tree visualization (TreeVis) techniques span diverse designs. Existing taxonomies organize them by visual characteristics such as layout dimensionality, edge representation, and node alignment. However, this visual-centric perspective can obscure structural similarities and make it difficult to determine whether differences arise from data structures or visual encodings. We investigate TreeVis techniques from a data-centric perspective grounded in Prepared Tables, the final data state prior to v",
  "authors": "Manling Yang, Alexandra Scott, Chris Ahn, Daniel Jakab, Suyang Li, Mingwei Li, Remco Chang",
  "category": "research",
  "topics": "safety-alignment,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-02T20:17:56.000Z",
  "fetched_at": "2026-08-04T05:10:21.797Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/16124",
  "original_url": "https://arxiv.org/abs/2608.01477v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}