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UV-Net: Learning from Boundary Representations

arXiv 2021 28.2 method

Read-first score

Read-first score 28.2, weighted from topical fit, citation, graph, method, reproducibility, and recency signals.

Recency 8%
49

Uses a gentle age decay so recent papers surface without erasing older foundations. 2021

Methodology quality 25%
40

Screens visible abstract and analysis fields for experiment, dataset, baseline, metric, and limitation evidence. markers=dataset,metric

Topical relevance 42%
29.2

Matches configured research keywords against title, abstract, tags, and analysis text. matched=9

Reproducibility 25%
8

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

Field roles

Candidate

Rank sensitivity

Stability: volatile; rank range: 127.

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