Li Lu

A multi-axis open-coding study of 200 CyberGym traces found that code localization and understanding (43.1%) plus vulnerability reasoning and trigger design (17.3%) account for 60.4% of tokens and that only 24.4% of matched comparisons preserve success at lower total cost; the authors then present AVRI, an interface built on a persistent Bidirectional Evidence Trace (BET), which on 20 evaluation tasks reduces total cost by 18.0% for Codex and 23.7% for OpenCode while preserving success and improving or maintaining recall.

A multi-axis open-coding study of 200 CyberGym traces found that code localization and understanding (43.1%) plus vulnerability reasoning and trigger design (17.3%) account for 60.4% of tokens and that only 24.4% of matched comparisons preserve success at lower total cost; the authors then present AVRI, an interface built on a persistent Bidirectional Evidence Trace (BET), which on 20 evaluation tasks reduces total cost by 18.0% for Codex and 23.7% for OpenCode while preserving success and improving or maintaining recall.