<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Proof on SciDraft | A Hugo Theme</title><link>https://www.zhumengyao.com/scidraft/tags/proof/</link><description>Recent content in Proof on SciDraft | A Hugo Theme</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 21 Sep 2026 12:22:00 +0900</lastBuildDate><atom:link href="https://www.zhumengyao.com/scidraft/tags/proof/index.xml" rel="self" type="application/rss+xml"/><item><title>Proof of the Softmax Shift Lemma (proof)</title><link>https://www.zhumengyao.com/scidraft/notes/demo-note-proof-softmax-shift/</link><pubDate>Mon, 21 Sep 2026 12:22:00 +0900</pubDate><guid>https://www.zhumengyao.com/scidraft/notes/demo-note-proof-softmax-shift/</guid><description>&lt;p&gt;&lt;strong&gt;Demo note.&lt;/strong&gt; This note demonstrates what the &lt;strong&gt;SciDraft&lt;/strong&gt; Hugo theme can do
for academic and scientific publishing — for research institutions, researchers
and students. Its content is demonstration material only: readers should ignore
whether the demo content is correct.&lt;/p&gt;
&lt;p&gt;A proof is the part of a note that cannot be skipped, and this one is short enough to
show the whole pattern: write the definition, factor out the constant, use that it cancels
between numerator and denominator.&lt;/p&gt;</description></item><item><title>Proof: Attention Outputs Lie in the Convex Hull (proof)</title><link>https://www.zhumengyao.com/scidraft/notes/demo-note-proof-attention-convex/</link><pubDate>Mon, 21 Sep 2026 09:52:00 +0900</pubDate><guid>https://www.zhumengyao.com/scidraft/notes/demo-note-proof-attention-convex/</guid><description>&lt;p&gt;&lt;strong&gt;Demo note.&lt;/strong&gt; This note demonstrates what the &lt;strong&gt;SciDraft&lt;/strong&gt; Hugo theme can do
for academic and scientific publishing — for research institutions, researchers
and students. Its content is demonstration material only: readers should ignore
whether the demo content is correct.&lt;/p&gt;
&lt;p&gt;The statement that attention outputs are convex combinations follows from two facts
about the softmax and one line of the triangle inequality, and the proof shows exactly
where each is used.&lt;/p&gt;</description></item></channel></rss>