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Competence-Preserving Resume Perturbations Expose Presentation Sensitivity in LLM Screening

arXiv · AI, language, vision and robotics · article · Sep 15, 2026 · UTC

Resume screeners must infer job-relevant competence from resumes whose presentation can vary substantially in wording, structure, stylistic polish, and document extraction quality. Ideally, such surface variation should not change decisions when the underlying qualification evidence is unchanged. We introduce a controlled audit of this property, constructing occupation-grounded candidate profiles at controlled competence levels and rendering each profile into multiple resume presentations. A deterministic validation gate excludes variants that alter the underlying evidence before scoring. Acro

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