Write Once, Check Many: Reusable Ledgers for Post-Hoc Policy Compliance Auditing of Agent Trajectories
Auditing LLM agents against policies is critical to ensure safety but requires rereading long trajectories once per policy. Can we instead record each trajectory once and reuse that record for policies not known in advance? We propose write once, check many, a framework in which a writer model converts each agent trajectory into a policy-independent ledger of the agent's actions and outcomes. A reader then checks each new policy against the ledger alone, without access to the original trajectory. On 900 trajectories from SHADE-Arena, $τ$-bench, and $τ^2$-bench, we show that a 12B reader of narrative ledgers can either match or in fact achieve higher AUC than the same 12B model reading ful...
| Authors | Ashwin Nagarajan, Gursimran Panesar, Alicia Yang et al. |
|---|---|
| Primary category | cs.CL |
| Published | 17 October 2026 |
| Last updated at source | 17 October 2026 |
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