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    <title>PyPI recent updates for honestboard</title>
    <link>https://pypi.org/project/honestboard/</link>
    <description>Recent updates to the Python Package Index for honestboard</description>
    <language>en</language>    <item>
      <title>0.6.1</title>
      <link>https://pypi.org/project/honestboard/0.6.1/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Thu, 15 Oct 2026 15:14:16 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/honestboard/0.6.0/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Thu, 15 Oct 2026 05:53:11 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/honestboard/0.5.1/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 21:30:18 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/honestboard/0.5.0/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 20:47:08 GMT</pubDate>
    </item>    <item>
      <title>0.4.3</title>
      <link>https://pypi.org/project/honestboard/0.4.3/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 19:08:42 GMT</pubDate>
    </item>    <item>
      <title>0.4.2</title>
      <link>https://pypi.org/project/honestboard/0.4.2/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 18:32:20 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/honestboard/0.4.1/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 18:23:52 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/honestboard/0.4.0/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 18:14:14 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/honestboard/0.3.0/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 14:11:01 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/honestboard/0.2.1/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 13:56:11 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/honestboard/0.2.0/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Wed, 14 Oct 2026 13:07:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/honestboard/0.1.0/</link>
      <description>Statistical checks for AI leaderboards: a selective record test with online certification, rank intervals, a confidence set of the best system and a winner&#39;s-curse correction, from per-task results.</description>
<author>jeffery.opoku01@utrgv.edu</author>      <pubDate>Tue, 13 Oct 2026 15:41:50 GMT</pubDate>
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