{"id":"W4409775553","doi":"10.21203/rs.3.rs-6507372/v1","title":"RETRACTED: Grid Mirror: Harnessing Adversarial PINNs to Model Power Grid Dynamics","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":true,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Grid; Power grid; Adversarial system; Dynamics (music); Computer science; Power (physics); Distributed computing; Artificial intelligence; Physics; Mathematics; Geometry; Acoustics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05820818733378447,"score_gpt":0.399544219478025,"score_spread":0.3413360321442405,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}