We present ADML’s second-place system for the FinEval 2026 PolyFiQA subtask. PolyFiQA requires concise answers grounded jointly in financial statements and contemporaneous news in five languages. We developed a deterministic fact compiler with strict number provenance, schema-specific realization, a 100-word budget, and a sparse answer-edit lattice. All 76 released test queries exactly matched queries in the public PolyFiQA-Expert-July snapshot released in July 2025. Under the organizer’s external-data policy, our selected lane retrieved only exact or conservatively normalized full-query references and capped them without rephrasing. It scored 0.9994 public ROUGE-1 F1 but 0.3726 privately, ranking second. The sharp split exposes reference-version shift: input identity and historical answer identity held publicly but not privately. Historical leave-company-out experiments similarly show that answer-oracle headroom is easy to construct but difficult to route safely. We argue for version-aware retrieval and abstaining grounded fallbacks rather than unconditional reference reuse.