Causal effect of fixing identified failure points on agent task success
Determine whether correcting the specific failure points identified by Docent-based automated log analysis in HAL agent evaluations causally leads to successful task completion or instead reveals subsequent downstream errors by implementing checkpointing of agent and environment states and replaying execution with targeted error corrections.
References
Our automated log analysis identifies specific points where agents fail, but we cannot determine whether addressing these failures would lead to successful task completion or simply reveal subsequent errors. Establishing true causal relationships between observed failures and task outcomes would require checkpointing agent and environment states at each failure point, then replaying execution with the error corrected, which is beyond our computational budget at the moment.
Second, the diagnostic in Table~\ref{tab:tab1} is a hypothesis synthesized from the literature rather than a controlled result: it predicts which component a failure signature implicates and which intervention should help, and although individual predictions are supported by the works we cite, the mapping as a whole invites systematic empirical testing, which we revisit as an open problem in Section~\ref{sec:challenges}.