Agent trajectories as programs: fingerprinting and programming coding-agent behavior
Benchmark scores tell you what an agent got right; they do not tell you how it got there. In this work, we introduce methods for comparing agents procedurally in different contexts, where the model, tasks, and approaches vary. We compare ten agents and find that they are identifiable by their behavioral habits, which we define as fingerprints: a probe over these procedural signatures attributes an unseen trajectory to the correct agent at 85.7% accuracy, controlling for leakage across tasks. We develop procedural representations for agent problem-solving procedures with an emergent vocabulary induction technique that is meant to be maximally compressive to avoid surface-level variation wh...
| Authors | Hamidah Oderinwale |
|---|---|
| Primary category | cs.SE |
| Published | 15 June 2026 |
| Last updated at source | 15 June 2026 |
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