{"id":"W4416527475","doi":"10.48550/arxiv.2504.05509","title":"Enforcing Control Flow Integrity on DeFi Smart Contracts","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Exploit; Sophistication; Control (management); Control flow; Dependency (UML); Heuristics; Smart contract; Security controls; Composability; Access control","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009263627,0.000861519,0.000792473,0.001100375,0.001191185,0.002435335,0.001758443,0.001410362,0.002470905],"category_scores_gemma":[0.04613694,0.0007111894,0.0004902245,0.0006828685,0.00383625,0.006508449,0.003808266,0.002488322,0.0007935248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285204,"about_ca_system_score_gemma":0.003448887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002766054,"about_ca_topic_score_gemma":0.00266859,"domain_scores_codex":[0.9911657,0.002886132,0.0005431463,0.001197896,0.003417917,0.0007891781],"domain_scores_gemma":[0.9622476,0.01362144,0.004145652,0.01670969,0.002507671,0.000767893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00114915,0.0007964589,0.06371822,0.0006663866,0.0002061452,0.001008248,0.001876566,0.301638,0.09386227,0.09700759,0.007455027,0.4306159],"study_design_scores_gemma":[0.0001072341,0.0005437003,0.00632032,0.0001322333,0.00005793471,0.0005109463,0.0003094819,0.8586566,0.06986939,0.04997094,0.01342597,0.00009525348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4702065,0.000686264,0.5014602,0.0009445007,0.00008965268,0.0007187329,0.0005296113,0.01539235,0.00997219],"genre_scores_gemma":[0.9153467,0.000193574,0.08117733,0.0002738549,0.00002728685,0.0001316416,0.0005472194,0.0004167345,0.001885698],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009263627,"threshold_uncertainty_score":0.04899126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938193747320476,"score_gpt":0.1897300503537541,"score_spread":0.1503481128805493,"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."}}