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Training Data

Every successful repair would generate two training examples:

  1. Repair-model pair — failure → repair directive.
  2. Agent pair — original input + repair directive → correct output.

Both would feed downstream training corpora. This is the honest extension of the real flywheel doctrine — eval verdicts feeding training corpora — but a SwarmFixer corpus of these pairs does not exist yet; only the upstream eval verdicts are real and live.


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