A new paper on arXiv proposes a method for scoring the specificity of individual sentences in technical documentation. The authors argue that collaboration depends on shared context, and documentation is one way that context persists across people and AI teammates. Specificity — the amount and exactness of detail expressed in language — shapes what information readers can extract from a document.
The study is framed as a domain-transfer investigation, meaning the authors likely test whether specificity scores trained or calibrated in one domain remain useful in another. The abstract, however, is truncated in the source, so the full methodology and results are not available here.
What is clear is the intended purpose: better quantifying how much detail a sentence carries could help teams and AI systems identify where documentation is too vague or too verbose. The paper's focus on domain transfer suggests the authors are concerned with making the scoring approach robust beyond a single technical field.