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    <title>PyPI recent updates for orionfold-proof</title>
    <link>https://pypi.org/project/orionfold-proof/</link>
    <description>Recent updates to the Python Package Index for orionfold-proof</description>
    <language>en</language>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/orionfold-proof/0.2.3/</link>
      <description>Local-first Proof Receipt — prove which AI model, prompt, or workflow is worth trusting.</description>
<author>manav@orionfold.com</author>      <pubDate>Sun, 28 Jun 2026 17:37:52 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/orionfold-proof/0.2.2/</link>
      <description>Local-first Proof Receipt — prove which AI model, prompt, or workflow is worth trusting.</description>
<author>manav@orionfold.com</author>      <pubDate>Sun, 28 Jun 2026 14:18:02 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/orionfold-proof/0.2.1/</link>
      <description>Local-first Proof Receipt — prove which AI model, prompt, or workflow is worth trusting.</description>
<author>manav@orionfold.com</author>      <pubDate>Sun, 28 Jun 2026 02:04:51 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/orionfold-proof/0.2.0/</link>
      <description>Local-first Proof Receipt — prove which AI model, prompt, or workflow is worth trusting.</description>
<author>manav@orionfold.com</author>      <pubDate>Sun, 28 Jun 2026 01:41:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/orionfold-proof/0.1.3/</link>
      <description>Local-first Proof Receipt — prove which AI model, prompt, or workflow is worth trusting.</description>
<author>manav@orionfold.com</author>      <pubDate>Sat, 27 Jun 2026 05:18:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/orionfold-proof/0.1.2/</link>
      <description>Local-first Proof Receipt — prove which AI model, prompt, or workflow is worth trusting.</description>
<author>manav@orionfold.com</author>      <pubDate>Fri, 26 Jun 2026 08:03:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/orionfold-proof/0.1.1/</link>
      <description>Local-first Proof Receipt — prove which AI model, prompt, or workflow is worth trusting.</description>
<author>manav@orionfold.com</author>      <pubDate>Fri, 26 Jun 2026 07:35:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/orionfold-proof/0.1.0/</link>
      <description>Local-first Proof Receipt — prove which AI model, prompt, or workflow is worth trusting.</description>
<author>manav@orionfold.com</author>      <pubDate>Thu, 25 Jun 2026 16:57:01 GMT</pubDate>
    </item>    <item>
      <title>0.0.0</title>
      <link>https://pypi.org/project/orionfold-proof/0.0.0/</link>
      <description>Orionfold Proof — local-first proof receipts that show which AI model, prompt, or RAG setup is worth trusting (early placeholder).</description>
<author>manav@orionfold.com</author>      <pubDate>Sat, 20 Jun 2026 01:00:17 GMT</pubDate>
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