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    <title>ICYMI Law — AI Paper-like Links</title>
    <link>https://icymilaw.org/#aipapers</link>
    <description>Popular AI paper-like links shared recently on Bluesky.</description>
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    <lastBuildDate>Mon, 15 Jun 2026 06:08:46 -0400</lastBuildDate>
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      <title>AI can help scientists publish less</title>
      <link>https://arxiv.org/abs/2606.13829</link>
      <guid isPermaLink="true">https://arxiv.org/abs/2606.13829</guid>
      <description>&lt;p&gt;&lt;img src="https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:a4feceawcvvxstg7pagxnryg/bafkreigc4ofbn4qhcdzeaiy7q2h4qsynlyzvuzqcxetqfipq4bamvd2n2i" alt="" style="max-width:100%;height:auto;" /&gt;&lt;/p&gt;We can do more than defend science from a flood of AI-assisted papers. Used well, AI offers a historic opportunity to correct distortions in the publication system, help us publish fewer and better pa...&lt;br&gt;&lt;br&gt;&lt;small&gt;reposts: 1 · likes: 12&lt;/small&gt;</description>
      <pubDate>Mon, 15 Jun 2026 06:08:46 -0400</pubDate>
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      <source url="https://arxiv.org">arxiv.org</source>
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      <title>Mean-Field Systems with Heterogeneous Subteams: Optimality of Cluster-Symmetric Independent Policies and Equivalence with Decentralized McKean-Vlasov Control of Cluster-Representative Agents</title>
      <link>https://arxiv.org/abs/2604.27380</link>
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      <description>&lt;p&gt;&lt;img src="https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:fzdxacqjkqcx225rav7565xc/bafkreidqmqwy3yg4tl3phag6b33z4zqxmqu4b2m6eya4gutzr2weqdsdui" alt="" style="max-width:100%;height:auto;" /&gt;&lt;/p&gt;Across science and engineering, mean-field methods have been a powerful and versatile approach for the analysis of systems of many interacting elements. However, common arguments used to characterize ...&lt;br&gt;&lt;br&gt;&lt;small&gt;reposts: 1 · likes: 4&lt;/small&gt;</description>
      <pubDate>Mon, 15 Jun 2026 06:08:46 -0400</pubDate>
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      <source url="https://arxiv.org">arxiv.org</source>
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      <title>Students still think they write better than GenAI, but not equally: Disciplinary differences in usage, trust, and writing practices with artificial intelligence</title>
      <link>https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6869641</link>
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      <description>This survey study (n=342) identifies undergraduates’ GenAI usage patterns, their attitudes of trust towards these technologies, and their self-reported positive&lt;br&gt;&lt;br&gt;&lt;small&gt;🔥🔥🔥🔥 · reposts: 15 · likes: 35&lt;/small&gt;</description>
      <pubDate>Sun, 14 Jun 2026 16:58:50 -0400</pubDate>
      <source url="https://papers.ssrn.com">papers.ssrn.com</source>
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    <item>
      <title>Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender</title>
      <link>https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646</link>
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      <description>People increasingly consult generative artificial intelligence (AI) while reasoning. As AI becomes embedded in daily thought, what becomes of human judgment? We&lt;br&gt;&lt;br&gt;&lt;small&gt;🔥 · reposts: 6 · likes: 17&lt;/small&gt;</description>
      <pubDate>Sun, 14 Jun 2026 16:58:50 -0400</pubDate>
      <source url="https://papers.ssrn.com">papers.ssrn.com</source>
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      <title>SatLM: Satisfiability-Aided Language Models Using Declarative Prompting</title>
      <link>https://arxiv.org/abs/2305.09656</link>
      <guid isPermaLink="true">https://arxiv.org/abs/2305.09656</guid>
      <description>&lt;p&gt;&lt;img src="https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:zfo3ww2suaikfjuho3lvs7zs/bafkreid5ef6vsscqwei75f6d6ixwxru7unutp2iqw6zabq2c7k3hykpboq" alt="" style="max-width:100%;height:auto;" /&gt;&lt;/p&gt;Prior work has combined chain-of-thought prompting in large language models (LLMs) with programmatic representations to perform effective and transparent reasoning. While such an approach works well f...&lt;br&gt;&lt;br&gt;&lt;small&gt;reposts: 0 · likes: 8&lt;/small&gt;</description>
      <pubDate>Sun, 14 Jun 2026 16:58:50 -0400</pubDate>
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      <source url="https://arxiv.org">arxiv.org</source>
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      <title>Retrieval Collapses When AI Pollutes the Web</title>
      <link>https://arxiv.org/abs/2602.16136</link>
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      <description>&lt;p&gt;&lt;img src="https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:v3kdlk64khpz3hezk55kmnm3/bafkreidqmqwy3yg4tl3phag6b33z4zqxmqu4b2m6eya4gutzr2weqdsdui" alt="" style="max-width:100%;height:auto;" /&gt;&lt;/p&gt;The rapid proliferation of AI-generated content on the Web presents a structural risk to information retrieval, as search engines and Retrieval-Augmented Generation (RAG) systems increasingly consume ...&lt;br&gt;&lt;br&gt;&lt;small&gt;reposts: 0 · likes: 4&lt;/small&gt;</description>
      <pubDate>Sun, 14 Jun 2026 16:58:50 -0400</pubDate>
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      <source url="https://arxiv.org">arxiv.org</source>
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      <title>Critical Confabulation: Can LLMs Hallucinate for Social Good?</title>
      <link>https://arxiv.org/abs/2511.07722</link>
      <guid isPermaLink="true">https://arxiv.org/abs/2511.07722</guid>
      <description>&lt;p&gt;&lt;img src="https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:hwcwxrgklrgi4fzcldy2zxqf/bafkreidqmqwy3yg4tl3phag6b33z4zqxmqu4b2m6eya4gutzr2weqdsdui" alt="" style="max-width:100%;height:auto;" /&gt;&lt;/p&gt;LLMs hallucinate, yet some confabulations can have social affordances if carefully bounded. We propose critical confabulation (inspired by critical fabulation from literary and social theory), the use...&lt;br&gt;&lt;br&gt;&lt;small&gt;reposts: 1 · likes: 2&lt;/small&gt;</description>
      <pubDate>Sun, 14 Jun 2026 16:58:50 -0400</pubDate>
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      <source url="https://arxiv.org">arxiv.org</source>
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