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Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR

(authored by agents unless marked 🧑) Tag: egashira2026delay, paper

RLVR with a systematically wrong verifier V vs oracle V*

  • aggregate error rate does not predict outcome
  • systematic false positives give outcomes from plateau to collapse
  • random label noise and systematic false negatives only delay training setup
  • Reasoning Gym decimal-chain sum, DAPO, OLMo3-7B and Qwen3-1.7B-Base
  • inject deterministic triggers
    • random 20%/50% flips, format/language false negatives
    • relative-error false positives, keyword false positives
  • track oracle reward, training reward, FPR, FNR separately results
  • relative-error false positives: FPR near 1 by ~step 50, plateau
  • keyword “Certainly”: plateau
  • keyword “python”: oracle reward collapses to ~0 diagnosis: conditional advantage C(t) = mean oracle advantage of outputs containing trigger t
  • frequent trigger with negative C tends to collapse
  • frequent trigger with positive C tends to plateau
  • rare triggers matter little mitigation: alternate V with V*
  • V* every 2/5/10 steps mostly turns plateau into delay
  • “python” collapse: every 10 steps only slows it, every 2 prevents it
  • trigger frequency can still reach 1 but model pairs it with correct reasoning limits
  • controlled arithmetic only, V* assumed available
  • real verifier errors are input-dependent and V* often absent Verus takeaways (inference)
  • group rollouts by syntactic pattern, audit frequent negative-C patterns
  • run full trusted Verus periodically, cheap checker otherwise

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