Editors and reviewers are expected to ensure that manuscripts cite relevant, accurate, current, and ethically appropriate literature, yet manuscript-level citation auditing remains largely manual, fragmented, and difficult to scale. Citation context, metadata quality, self-citation patterns, and bibliographic integrity all affect whether a reference appropriately supports a local claim. We present CitePrism, a transparent hybrid decision-support framework for editorial citation auditing that combines LLM-assisted contextual reasoning, embedding-based semantic similarity, metadata verification, integrity-oriented flags, and human-in-the-loop analyst review. CitePrism extracts citation neighborhoods, enriches reference metadata, computes fused relevance scores, surfaces metadata and self-citation review prompts, and supports configurable threshold-based triage. In a preliminary validation on a single case-study manuscript with 104 references from pavement engineering, agreement with human binary relevance labels reached Cohen's kappa = 0.429. At operating threshold tau = 17, CitePrism flagged all human-labeled irrelevant citations, while also producing false positives requiring analyst review. These results suggest that CitePrism may support conservative editorial screening and citation-quality triage, but they do not establish general editorial performance. CitePrism is intended as pilot-stage decision support, not as an autonomous misconduct detector or automated editorial decision system. Broader validation across manuscripts, domains, annotators, baselines, and deployment settings is required before operational use.

翻译：摘要：编辑和审稿人本应确保稿件引用相关、准确、最新且符合伦理规范的文献，但稿件层面的引文审计仍主要依赖人工操作，呈现碎片化且难以规模化。引文语境、元数据质量、自引模式及书目完整性均会影响参考文献是否恰当支撑局部论点。本文提出CitePrism——一种用于编辑引文审计的透明混合决策支持框架，它融合了基于大语言模型的语境推理、通过嵌入实现的语义相似度计算、元数据验证、完整性标志检测及人机协同分析师复核。CitePrism通过提取引文邻域、丰富参考文献元数据、计算融合相关性得分、呈现元数据与自引复核提示，并支持可配置的阈值分类。基于一份包含104篇路面工程领域参考文献的案例手稿进行初步验证，其与人工二元相关性标注的一致性达到Cohen's kappa=0.429。在操作阈值τ=17时，CitePrism标记了所有人工标注为不相关的引文，同时产生需分析师复核的误报。这些结果表明CitePrism可能支持保守的编辑筛选与引文质量分类，但尚不能确立普适的编辑效果。CitePrism旨在作为试点阶段的决策支持工具，而非自主不当行为检测或自动化编辑决策系统。投入实际使用前，需在更多手稿、领域、标注者、基线及部署场景中开展广泛验证。