{"id":"W3215622318","doi":"10.2478/popets-2022-0027","title":"Polaris: Transparent Succinct Zero-Knowledge Arguments for R1CS with Efficient Verifier","year":2021,"lang":"en","type":"article","venue":"Proceedings on Privacy Enhancing Technologies","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zero-knowledge proof; Hash function; Gas meter prover; Discrete mathematics; Computer science; Function (biology); Zero (linguistics); Argument (complex analysis); Arithmetic; Mathematics; Combinatorics; Theoretical computer science; Cryptography; Algorithm; Programming language; Mathematical proof","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003447014,0.0003515315,0.0003608637,0.000313816,0.0003539804,0.0003593836,0.001635523,0.0001776372,0.000003124788],"category_scores_gemma":[0.0004448287,0.0002920119,0.0001323205,0.00123947,0.0001137248,0.0004299151,0.0006198729,0.0003784352,0.00001361197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031778,"about_ca_system_score_gemma":0.0001125819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004016354,"about_ca_topic_score_gemma":0.000006630382,"domain_scores_codex":[0.9976122,0.000008052374,0.0003531918,0.001015106,0.000360544,0.0006509381],"domain_scores_gemma":[0.9985785,0.0001123304,0.0001636152,0.0006920763,0.0003800396,0.00007337656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003075176,0.002301441,0.007674101,0.001061832,0.0003129071,0.00004942662,0.006460487,0.00006213372,0.06096615,0.8338706,0.004007388,0.08292602],"study_design_scores_gemma":[0.001119326,0.000650358,0.0007497185,0.0004145173,0.00004116539,0.00003924139,0.000936307,0.002611858,0.9537461,0.02495675,0.01411738,0.000617251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3838706,0.0007821249,0.6095919,0.001575074,0.0002759071,0.0005712581,0.000022363,0.002577691,0.0007331491],"genre_scores_gemma":[0.8947541,0.00008576687,0.1048449,0.00007750686,0.00001953328,0.0001789664,0.000007605711,0.00001901789,0.00001266206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8927799,"threshold_uncertainty_score":0.9999532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300912344232564,"score_gpt":0.2649774624334478,"score_spread":0.2419683389911222,"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."}}