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AGT is best on all 13 KPIs against LightGBM, TimeMixer, and SOFTS in the matched seed-42 comparison, while final-architecture ablations show that relational attention, accounting topology, and the recency path each improve validation and test accuracy.
Covariate-Adjusted Residual Policy Learning (CAR-PL) is introduced, an action-wise R-learner that operates directly on multi-hot logs and regularizes selection by observational support and support objective-specific ranking of SMB financial guidance from multi-action accounting logs.
It is demonstrated that GRPO with a finance-grounded reward signal can produce substantially more useful business recommendations than commercial LLMs, and that a judge-independent causal audit is a valuable complement to, rather than a confirmation of, LLM-as-a-judge assessment in financial NLP.
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