Florian Frantzen, Michael T. Schaub: A repository for discovery and reuse of higher-order network datasets https://arxiv.org/abs/2608.03491 https://arxiv.org/pdf/2608.03491 https://arxiv.org/html/2608.03491

[2026-08-05 Wed (UTC), 1 new article found for csDL Digital Libraries]

Ilias Kanellos, Serafeim Chatzopoulos, Thanasis Vergoulis: BIP! Ranker: A Software Library for Citation-Based Impact Indicators on Large-Scale Graphs https://arxiv.org/abs/2608.02004 https://arxiv.org/pdf/2608.02004 https://arxiv.org/html/2608.02004

[2026-08-04 Tue (UTC), 1 new article found for csDL Digital Libraries]

Keigo Kusumegi, Xinyu Yang, Paul Ginsparg, Mathijs de Vaan, Toby Stuart, Yian Yin: A robust association between LLM use and scientific productivity: Assessing stopping-time selection https://arxiv.org/abs/2607.28968 https://arxiv.org/pdf/2607.28968 https://arxiv.org/html/2607.28968

[2026-08-03 Mon (UTC), 1 new article found for csDL Digital Libraries]

Jennifer D'Souza, et al.: SciSchema.org: A Multidisciplinary Collection of Schemas for Structured Scientific Process Descriptions https://arxiv.org/abs/2607.27955 https://arxiv.org/pdf/2607.27955 https://arxiv.org/html/2607.27955

Binyan Xu, Fan Yang, Xilin Dai, Kehuan Zhang: Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review https://arxiv.org/abs/2607.27209 https://arxiv.org/pdf/2607.27209 https://arxiv.org/html/2607.27209

Kohler, Bosc\'a, Meyer-Eschenbach, Banduge, Abedian, Marschollek, Eils: Bridging openEHR and OMOP: Expanded Mappings and Systematic Analysis of Semantic and Structural Limitations in the OMOP... https://arxiv.org/abs/2607.27208 https://arxiv.org/pdf/2607.27208 https://arxiv.org/html/2607.27208

[2026-07-31 Fri (UTC), 3 new articles found for csDL Digital Libraries]

Eleni Adamidi, Serafeim Chatzopoulos, Thanasis Vergoulis: Scientific Knowledge Discovery in the Age of Large Language Models https://arxiv.org/abs/2607.26670 https://arxiv.org/pdf/2607.26670 https://arxiv.org/html/2607.26670

Hazem Ibrahim, Talal Rahwan, Yasir Zaki: Bias at the Borderline: Who Gets the Benefit of the Doubt in Peer Review? https://arxiv.org/abs/2607.26280 https://arxiv.org/pdf/2607.26280 https://arxiv.org/html/2607.26280

[2026-07-30 Thu (UTC), 2 new articles found for csDL Digital Libraries]

Mike Thelwall, Parveen Ali: Is ChatGPT as reliable as individual reviewers assessing the quality of published journal articles from PDFs or titles and abstracts? https://arxiv.org/abs/2607.25965 https://arxiv.org/pdf/2607.25965 https://arxiv.org/html/2607.25965

Florian Krebs: F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skill https://arxiv.org/abs/2607.25637 https://arxiv.org/pdf/2607.25637 https://arxiv.org/html/2607.25637

Oph\'elie Fraisier-Vannier: Comparative Analysis of Classification Schemes on Major Bibliometric Platforms: A study of Web of Science, Scopus, the Lens, and Dimensions https://arxiv.org/abs/2607.25499 https://arxiv.org/pdf/2607.25499 https://arxiv.org/html/2607.25499

Chiaki Miura, Ichiro Sakata: Preprints Without Curation Are Increasingly Cited by Journals https://arxiv.org/abs/2607.25220 https://arxiv.org/pdf/2607.25220 https://arxiv.org/html/2607.25220

[2026-07-29 Wed (UTC), 4 new articles found for csDL Digital Libraries]

Danbinaerin Han: Umulsai: A Plain-Text Format and In-Browser Engraving System for Jeongganbo, Korean Mensural Notation https://arxiv.org/abs/2607.24230 https://arxiv.org/pdf/2607.24230 https://arxiv.org/html/2607.24230

Yongjie Yang: How Hard Is It to Impact the Impact of Your Paper? https://arxiv.org/abs/2607.22737 https://arxiv.org/pdf/2607.22737 https://arxiv.org/html/2607.22737

Marek Kwiek: Nonlinear Journal Prestige Normalized Productivity: Defining and Measuring It https://arxiv.org/abs/2607.22701 https://arxiv.org/pdf/2607.22701 https://arxiv.org/html/2607.22701

Fidan Badalova, Philipp Mayr: Detecting Hallucinated and Suspicious Citations: What Current Tools Can and Cannot Do https://arxiv.org/abs/2607.22693 https://arxiv.org/pdf/2607.22693 https://arxiv.org/html/2607.22693

Aadi Narayana Varma Dantuluri, Sushrut Thorat, Paras Chopra: Towards Nexus-Score: Metadata Gaps Limit Scholarly AI Attribution https://arxiv.org/abs/2607.22684 https://arxiv.org/pdf/2607.22684 https://arxiv.org/html/2607.22684

Sheng Lu: From peer review nuances to best practices https://arxiv.org/abs/2607.22681 https://arxiv.org/pdf/2607.22681 https://arxiv.org/html/2607.22681

Sean R. Wilkinson, Polina Shpilker, Wesley Brewer: SetGo: Metadata Readiness for Scientific AI Datasets https://arxiv.org/abs/2607.22677 https://arxiv.org/pdf/2607.22677 https://arxiv.org/html/2607.22677

Ahmed Abolfadl, Marwa Mahmoud Abla, Mervat Abu-Elkheir, Maggie Mashaly: AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends https://arxiv.org/abs/2607.22641 https://arxiv.org/pdf/2607.22641 https://arxiv.org/html/2607.22641

[2026-07-28 Tue (UTC), 8 new articles found for csDL Digital Libraries]

Arcangelo Massari, Silvio Peroni: Ask the Curator: Demonstrating Expert-Driven RDF Data Curation with HERITRACE https://arxiv.org/abs/2607.22348 https://arxiv.org/pdf/2607.22348 https://arxiv.org/html/2607.22348

[2026-07-27 Mon (UTC), 1 new article found for csDL Digital Libraries]

Muhsen Hammoud: From Static Bibliometrics to Dynamic Knowledge Graphs: An LLM-Powered Framework for Modernizing Science, Technology, and Innovation (STI) Analytics https://arxiv.org/abs/2607.21327 https://arxiv.org/pdf/2607.21327 https://arxiv.org/html/2607.21327