This paper describes the submission of team POINTERS to the UZH ArgMining 2026 Shared Task, which aims to recover the argumentation structure of UN and UNESCO resolutions by labeling paragraph types, assigning specific tags, and predicting relations between paragraphs. We take a generative approach, treating each resolution as a sequence of claim-evidence pairs connected by explicit reasoning strategies. First, each paragraph is classified as preambular or operative and assigned tags, with the model required to quote specific phrases to justify every decision. Second, for each paragraph, we first retrieve semantically related candidates using sentence transformers, then use reasoning strategies as a diagnostic scaffold to label the relation—supporting, complemental, contradictive, or modifying—along with a quoted, strategy-grounded rationale.