Equation 7 · Retrieval Is an Evidence System, Not a Memory
What does this equation mean?
Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.
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Symbol z
z is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
How to interpret it
Read this expression with the definitions, units, and assumptions supplied by the article.
What the article says around this equation
Read the structure rather than the arithmetic. The generator is never conditioned on the corpus. It is conditioned on z — one span, or a handful — and its output distribution is a weighted account of what those spans support. Everything outside has probability zero of influencing the answer, and the system has no representation of what it excluded. REALM made the same commitment on the training side, learning a latent retriever end-to-end so that the model attends over documents drawn from a corpus at pretraining, fine-tuning and inference time, and reporting 4–16% absolute gains on open-domain question answering over prior methods [ 2 ] .
Sources cited in the surrounding passage
These citations give research context. Read each source to check which claims it supports.