Retrieval-Grounded, Distractor-Robust Quantitative Reasoning with a Local Small Language Model: A System Report for DocSem 2026
We describe a three-stage pipeline submitted to the DocSem 2026 shared task on document-grounded quantitative reasoning with evidence attribution. Each task instance provides a scanned, image-only PDF containing a self-contained arithmetic word problem embedded among a large number of lexically similar but irrelevant d...