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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Register Tokens for Bounded-State Reasoning in Diffusion Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2609.16372/</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/2609.16372/feed.xml" rel="self" type="application/rss+xml" /><item><title>Register Tokens for Bounded-State Reasoning in Diffusion Language Models — mentioned by E-Reverance</title><link>https://news.ycombinator.com/item?id=49735161</link><guid isPermaLink="false">urn:hackerpapers:mention:2609.16372:49735161</guid><pubDate>Thu, 17 Sep 2026 01:00:20 GMT</pubDate><description>&lt;p&gt;In my opinion its a great idea because you get reuse hidden states which allows you to do something akin to thinking/[online learning]. If you only evolve use input space outputs you&amp;#x27;re dealing with more decoding pressure. Also related to what I was saying see these: https://arxiv.org/pdf/2609.16372v1 https://arxiv.org/pdf/2609.01449v1 (this one is quite mindblowing cause they noise they the actual input space every time but it still works) https://arxiv.org/pdf/2609.11801&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2609.16372/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
