<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>2609.04748v1 on Jaehun's Blog</title><link>https://jaehun.me/tags/2609.04748v1/</link><description>Recent content in 2609.04748v1 on Jaehun's Blog</description><generator>Hugo</generator><language>ko-kr</language><lastBuildDate>Mon, 07 Sep 2026 14:31:22 +0000</lastBuildDate><atom:link href="https://jaehun.me/tags/2609.04748v1/index.xml" rel="self" type="application/rss+xml"/><item><title>Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving</title><link>https://jaehun.me/posts/same-request-different-answer-quantization-amplifies-cache-induced-divergence-in-llm-serving/</link><pubDate>Mon, 07 Sep 2026 00:00:00 +0900</pubDate><guid>https://jaehun.me/posts/same-request-different-answer-quantization-amplifies-cache-induced-divergence-in-llm-serving/</guid><description>&lt;p&gt;&lt;a&#10; href="https://arxiv.org/abs/2609.04748v1"target="_blank"&#10; class="inline-flex items-center gap-1"&#10; &gt;논문 링크&lt;svg class="h-3 w-3 flex-shrink-0" id="external-link" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M15 3h6v6m-11 5L21 3m-3 10v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"/&gt;&lt;/svg&gt;&#10; &lt;/a&gt;&lt;/p&gt;&#10;&lt;h2 id="같은-요청-다른-답-프리픽스-캐시가-서빙을-비재현적으로-만들고-양자화가-이를-증폭시킨다"&gt;같은 요청, 다른 답: 프리픽스 캐시가 서빙을 비재현적으로 만들고, 양자화가 이를 증폭시킨다&lt;a href="#%ea%b0%99%ec%9d%80-%ec%9a%94%ec%b2%ad-%eb%8b%a4%eb%a5%b8-%eb%8b%b5-%ed%94%84%eb%a6%ac%ed%94%bd%ec%8a%a4-%ec%ba%90%ec%8b%9c%ea%b0%80-%ec%84%9c%eb%b9%99%ec%9d%84-%eb%b9%84%ec%9e%ac%ed%98%84%ec%a0%81%ec%9c%bc%eb%a1%9c-%eb%a7%8c%eb%93%a4%ea%b3%a0-%ec%96%91%ec%9e%90%ed%99%94%ea%b0%80-%ec%9d%b4%eb%a5%bc-%ec%a6%9d%ed%8f%ad%ec%8b%9c%ed%82%a8%eb%8b%a4" class="heading-anchor" aria-label="이 섹션에 대한 링크"&gt;&lt;svg class="h-4 w-4" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;g fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2"&gt;&lt;path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"/&gt;&lt;path d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"/&gt;&lt;/g&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;&#10; &lt;blockquote&#10; class="border-primary bg-muted/30 hover:bg-muted/40 my-6 rounded-r-lg border-l-4 py-4 pr-4 pl-6 italic transition-all duration-200 ease-out hover:translate-x-1"&#10; &gt;&#10; &lt;div class="prose prose-sm max-w-none"&gt;&#10; &lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt; — 프리픽스 캐시는 &amp;ldquo;투명한 최적화&amp;quot;로 여겨지지만 투명하지 않다. 캐시를 끄면 동일 워크로드의 반복 실행이 &lt;strong&gt;10개 설정 × 80에피소드 = 800개 전부 비트 단위로 동일&lt;/strong&gt; 하게 재현되는 반면 (근거: Tab. 2), 캐시를 켜면 에이전트의 궤적이 &lt;strong&gt;16비트에서 36.2%, 4비트 양자화에서 75.0%&lt;/strong&gt; 나 바뀐다 (근거: §IV-D). 그런데 평균 정확도는 움직이지 않는다 — 이것은 &amp;ldquo;열화(degradation)&amp;ldquo;가 아니라 &amp;ldquo;불안정성(instability)&amp;ldquo;이며, 둘은 다른 대응을 요구한다 (근거: §IV-F, §V).&lt;/p&gt;</description></item></channel></rss>