Sign inGet started
Paper · arXiv

Editorial routing shapes how computational results are qualified in AI-assisted scientific writing

Large language models increasingly analyze computational results and draft manuscripts, making reliable communication as important as correct analysis. Using fixed computational evidence, we tested whether assigning comparisons across modeling choices elsewhere in a research workflow changes manuscript reporting. In constrained sentence-writing tasks, Anthropic's Claude Sonnet 5 often omitted numerical qualifications when detailed comparisons were assigned to a group repository, but retained them more often when the same comparison was assigned to Supporting Information or its own working notes; Claude Opus 5 was less sensitive. These effects did not follow a simple accessibility ordering...

AuthorsJihan Kim
Primary categorycs.CL
Published13 September 2026
Last updated at source13 September 2026
cs.CL
Embed this entry
<iframe src="https://silytics.si/embed/item/7349781e-a7a1-4295-bd96-5109580c9c75" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.