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If we are to use electronic plagiarism detectors on student work, it would be interesting to know how--much similarity should be expected in independently written documents on a similar topic. If our--measure is coarse, the answer should be zero, but a finer grained analysis (such as would be needed to--detect inadequate paraphrasing) is likely to detect some background noise. How much background--noise should there be
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Stored only when both papers are in the corpus — 25 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.