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T-SMART: Mechanism-Level Attribution for Tool-Augmented Time-Series QA
A new arXiv paper introduces T-SMART, a method that attributes how tool-augmented language models arrive at answers for time-series question answering. The work targets a known weakness: LLMs handle poorly the case where numerical signals are turned into text and require explicit computation. It offers analysis at the level of internal mechanisms rather than just final outputs, though the abstract provided is truncated.