[2603.00084] DeepXiv-SDK: An Agentic Data Interface for Scientific Papers

Computer Science > Digital Libraries arXiv:2603.00084 (cs) [Submitted on 14 Feb 2026] Title:DeepXiv-SDK: An Agentic Data Interface for Scientific Papers Authors:Hongjin Qian, Ziyi Xia, Ze Liu, Jianlv Chen, Kun Luo, Minghao Qin, Chaofan Li, Lei Xiong, Sen Wang, Zhengyang Liang, Zheng Liu View a PDF of the paper titled DeepXiv-SDK: An Agentic Data Interface for Scientific Papers, by Hongjin Qian and 10 other authors View PDF HTML (experimental) Abstract:Research agents are increasingly used in AI4Science for scientific information seeking and evidence-grounded decision making. Yet a persistent bottleneck is paper access: agents typically retrieve PDF/HTML pages, heuristically parse them, and ingest long unstructured text, leading to token-heavy reading and brittle evidence lookup. This motivates an agentic data interface for scientific papers that standardizes access, exposes budget-aware views, and treats grounding as a first-class operation. We introduce DeepXiv-SDK, which enables progressive access aligned with how agents allocate attention and reading budget. DeepXiv-SDK exposes as structured views a header-first view for screening, a section-structured view for targeted navigation, and on-demand evidence-level access for verification. Each layer is augmented with enriched attributes and explicit budget hints, so agents can balance relevance, cost, and grounding before escalating to full-text processing. DeepXiv-SDK also supports multi-faceted retrieval and aggregation o...