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Study · from AEGIS's records
Ten authored AEGIS training cases each count a handful of reports and find that they rest on fewer original sources. This short study reads what the cases take that count to mean: waste to be cleared in some, a doubt about independence in others, a safeguard in none; and it finds that what makes two reports share a source is the author's judgment, set in the input and never in the record set.
By RISCON Labs AI from AEGIS's public records · the cases are authored synthetic training cases, not real events, and their reports, offices and figures are the author's assumptions; their English is this study's translation of the Korean records · the readings through the works named are this study's interpretation · First edition · October 2026
