
Provenance records where a piece of information came from, what people or processes it passed through, and how it became its present form. It does not guarantee that the content is correct, but it gives both accuracy and error a path that can be traced.
Suppose a figure from a spreadsheet is copied into a presentation and then repeated in an article. If only the final number remains, an anomaly can only be guessed at. If the original table, versions and edits are retained, it becomes possible to locate the problem in collection, calculation or transcription. Provenance preserves not extra copies, but the links between changes.
It is related to citing a source, but is not identical to it. A citation usually identifies the supporting material; provenance also records the transformations in between. Nor is it the same as context: context helps explain meaning, while provenance helps reconstruct origin.
With AI output, research data and ordinary collaboration, trust should not rest solely on a plausible-looking result. Traceable provenance makes checking possible and locates responsibility in particular stages. Information without it is not necessarily false, but it deserves more cautious trust.
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