FinAcumen agent uses self-evolving experience memory for financial multimodal reasoning

A new arXiv paper introduces FinAcumen, an agent design for financial tasks that must combine arithmetic, information retrieval, chart and document interpretation, and time-based reasoning over mixed evidence. While earlier tool-using agents focused mainly on executing steps accurately, this work targets the remaining difficulty of handling heterogeneous inputs, proposing a memory harness that evolves from its own accumulated experience. The submission is a revised version of the preprint.