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    <title>PyPI recent updates for carl-studio</title>
    <link>https://pypi.org/project/carl-studio/</link>
    <description>Recent updates to the Python Package Index for carl-studio</description>
    <language>en</language>    <item>
      <title>0.20.1</title>
      <link>https://pypi.org/project/carl-studio/0.20.1/</link>
      <description>CARL (Coherence-Aware Reinforcement Learning) — information-theoretic reward signals for LLM training via token-level probability distributions</description>
<author>tej@terminals.tech</author>      <pubDate>Sat, 09 May 2026 01:25:01 GMT</pubDate>
    </item>    <item>
      <title>0.20.0</title>
      <link>https://pypi.org/project/carl-studio/0.20.0/</link>
      <description>CARL (Coherence-Aware Reinforcement Learning) — information-theoretic reward signals for LLM training via token-level probability distributions</description>
<author>tej@terminals.tech</author>      <pubDate>Sat, 09 May 2026 01:21:24 GMT</pubDate>
    </item>    <item>
      <title>0.18.3</title>
      <link>https://pypi.org/project/carl-studio/0.18.3/</link>
      <description>CARL (Coherence-Aware Reinforcement Learning) — information-theoretic reward signals for LLM training via token-level probability distributions</description>
<author>tej@terminals.tech</author>      <pubDate>Sat, 25 Apr 2026 04:36:49 GMT</pubDate>
    </item>    <item>
      <title>0.18.2</title>
      <link>https://pypi.org/project/carl-studio/0.18.2/</link>
      <description>CARL (Coherence-Aware Reinforcement Learning) — information-theoretic reward signals for LLM training via token-level probability distributions</description>
<author>tej@terminals.tech</author>      <pubDate>Fri, 24 Apr 2026 21:43:44 GMT</pubDate>
    </item>    <item>
      <title>0.18.1</title>
      <link>https://pypi.org/project/carl-studio/0.18.1/</link>
      <description>CARL (Coherence-Aware Reinforcement Learning) — information-theoretic reward signals for LLM training via token-level probability distributions</description>
<author>tej@terminals.tech</author>      <pubDate>Fri, 24 Apr 2026 20:31:04 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/carl-studio/0.3.0/</link>
      <description>CARL (Coherence-Aware Reinforcement Learning) — information-theoretic reward signals for LLM training via token-level probability distributions</description>
<author>tej@terminals.tech</author>      <pubDate>Thu, 09 Apr 2026 23:56:53 GMT</pubDate>
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