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        <identifier>oai:figshare.com:article/32051700</identifier>
        <datestamp>2026-09-24T21:18:25Z</datestamp>
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          <dc:title>Reward Hacking and Specification Gaming in AI — Historical Record Archive</dc:title>
          <dc:creator>Drift Working Archive (22445446)</dc:creator>
          <dc:subject>Artificial intelligence not elsewhere classified</dc:subject>
          <dc:subject>Machine learning not elsewhere classified</dc:subject>
          <dc:subject>reward hacking</dc:subject>
          <dc:subject>specification gaming</dc:subject>
          <dc:subject>reinforcement learning</dc:subject>
          <dc:subject>system alignment</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This record documents an early exploratory paper on reward hacking and specification gaming in artificial intelligence systems. It examines how systems can satisfy formal objectives or reward functions while diverging from the broader task those objectives were intended to represent. The paper was part of an earlier stage of project development and is retained as a historical metadata reference.&lt;/p&gt;</dc:description>
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