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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Nano-Intrinsic True Random Number Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1701.06020/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1701.06020/feed.xml" rel="self" type="application/rss+xml" /><item><title>Nano-Intrinsic True Random Number Generation — mentioned by eternalban</title><link>https://news.ycombinator.com/item?id=13491719</link><guid isPermaLink="false">urn:hackerpapers:mention:1701.06020:13491719</guid><pubDate>Thu, 26 Jan 2017 14:42:56 GMT</pubDate><description>&lt;p&gt;You have a point but publication date, specially in this fast moving field, is a low grade data point. As another commenter wrote in this thread, we&amp;#x27;re reduced to deducing date range by looking at referenced prior work. I for one am grateful to Cornell for making ArXiv happen. They stamp the date on the preprint and their url enodes the general date [/&amp;lt;yy&amp;gt;&amp;lt;mm&amp;gt;.&amp;lt;sernum&amp;gt;] as well: https://arxiv.org/pdf/1701.06020.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1701.06020/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.ET</category></item></channel></rss>
