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UV-Net: Learning from Boundary Representations

arXiv 2020 31.4 method

Read-first score

Read-first score 31.4, weighted from topical fit, citation, graph, method, reproducibility, and recency signals.

Reproducibility 33%
73

Screens links and visible text for paper, code, dataset, artifact, and repository signals. pdf=True; code=True; dataset=False; markers=github

Recency 11%
42.4

Uses a gentle age decay so recent papers surface without erasing older foundations. 2020

Topical relevance 56%
4.2

Matches configured research keywords against title, abstract, tags, and analysis text. matched=1

Field roles

Reproducibility anchor

Rank sensitivity

Stability: volatile; rank range: 87.

Tags