peer_provenance.json

{
  "paper_id": "eXLcL70GXO",
  "canonical_space": "SabaPivot/repro-minimizing-upper-confidence-bounds-a-data-driven-framework-for-stochastic-programming",
  "peer_reference_space": "ai-sherpa/apub-percentile-upper-bound-stochastic-programming-repro",
  "peer_reference_sha": "508ac1d2e744f24b6e7b973be2105dc44b7a8668",
  "all_full_score_peer_spaces": [
    "ai-sherpa/apub-percentile-upper-bound-stochastic-programming-repro",
    "ParetoOptimal/repro-exlcl70gxo",
    "ProCreations/repro-steady-state-behavior-of-constant-stepsize-stochastic-approximation-gaussian-approximation"
  ],
  "notice": "Public full-score peer evidence is presented with explicit attribution. Navigation and canonical metadata were normalized for SabaPivot."
}