Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata — arxiv papers scraper is one entity page on reapx.dev, built from real runs of the reapx/arxiv-papers-scraper Apify Actor.
Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata has 6 observations across 6 arxiv papers scraper runs, covering 12 measured fields.
What the page holds
Every row the runs observed for this one entity, merged across each run that saw it rather than showing only the latest slice. The page carries Dataset and SoftwareApplication JSON-LD, a canonical URL, and the id of every run it cites, so any figure on it can be traced back to the run that produced it.
Runs cited on the page: 314fVb0LUWf3IXhoe, 7FG3tFXy44zAICQHP, DuUYAhCFXj3nnbbxW, abstractWordCount, seEWBGgKs5zzRoEMc, uGjIIpaY6DOuJsPUP
The rest of the set
The full index for this source is at https://reapx.dev/data/arxiv-papers-scraper/, and every page on the property is declared in https://reapx.dev/sitemap.xml.
reapx/arxiv-papers-scraper is on the Apify Store — pay-per-event, limited-permission, and it absorbs platform usage rather than billing it separately.
Canonical source: https://reapx.dev/data/arxiv-papers-scraper/2607-28338v1/
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