peer_provenance.json

{
  "paper_id": "WArbqRUsAe",
  "canonical_space": "SabaPivot/repro-formulacode-evaluating-agentic-optimization-on-large-codebases",
  "peer_reference_space": "Srishti280992/repro-formulacode-evaluating-agentic-optimization-on-large-codebases",
  "peer_reference_sha": "353c018b3843ae98dd37e06c841202cdf2f80ee3",
  "all_full_score_peer_spaces": [
    "Srishti280992/repro-formulacode-evaluating-agentic-optimization-on-large-codebases",
    "ProCreations/repro-contextual-rollout-bandits-for-reinforcement-learning-with-verifiable-rewards"
  ],
  "notice": "Public full-score peer evidence is presented with explicit attribution. Navigation and canonical metadata were normalized for SabaPivot."
}