Knowledge Architecture
Corpus Reconciliation
Resolving the contradictions inside a set of documents before that set is treated as a source of truth.
What it is
Corpus reconciliation is resolving the contradictions inside a set of documents before that set is treated as a source of truth. It means finding the places where two documents answer the same question differently, deciding which is current, and recording the decision — rather than leaving both in the index and letting retrieval pick.
Why it matters
Most retrieval systems skip this step entirely. They index whatever exists, retrieve the closest match and ground against it, which means a contradiction in the corpus becomes a contradiction in the answers, delivered confidently and with a citation. Reconciliation is unglamorous and still largely manual, and it sets the ceiling on every accuracy number a downstream system can report — no amount of model or retrieval improvement can exceed the consistency of the source.
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