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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Self-Attribution Bias: When AI Monitors Go Easy on Themselves · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2603.04582/</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/2603.04582/feed.xml" rel="self" type="application/rss+xml" /><item><title>Self-Attribution Bias: When AI Monitors Go Easy on Themselves — mentioned by tylermarques</title><link>https://news.ycombinator.com/item?id=48415023</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.04582:48415023</guid><pubDate>Fri, 05 Jun 2026 16:42:38 GMT</pubDate><description>&lt;p&gt;There is some evidence.[1] The best reviewer is a different model with fresh context, worst is same model with same context. 1. https://arxiv.org/pdf/2603.04582&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.04582/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
