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      <title>Pretraining Recurrent Networks without Recurrence</title>
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      <pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate>
      
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      <description>Supervised Memory Training (SMT) sidesteps BPTT by reducing RNN training to one-step memory-transition labels supplied by a Transformer-based predictive-state encoder — recovering O(1) gradient paths and time-parallel training.</description>
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