{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T16:48:05Z","timestamp":1782146885714,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"DOI":"10.1145\/3774398.3811574","type":"proceedings-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T15:50:37Z","timestamp":1782143437000},"page":"463-467","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Nosi IDE: Securing Coding Assessment Integrity in the Age of LLMs via Process-Driven Analytics"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1478-8291","authenticated-orcid":false,"given":"Ryan","family":"Lueder","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8976-2041","authenticated-orcid":false,"given":"Yuhui","family":"Zhao","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1014-9877","authenticated-orcid":false,"given":"Mitchell","family":"Gray","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6431-8503","authenticated-orcid":false,"given":"Shuyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9097-1592","authenticated-orcid":false,"given":"Saurabh","family":"Chatterjee","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5223-9473","authenticated-orcid":false,"given":"Qiao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0425-4245","authenticated-orcid":false,"given":"David","family":"Nahodyl","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8442-7842","authenticated-orcid":false,"given":"Thad","family":"Starner","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108643"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2787622.2787717"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1160379"},{"key":"e_1_3_2_1_4_1","volume-title":"MOSS: A Tool for Detecting Software Similarity. https:\/\/theory.stanford.edu\/ aiken\/moss\/. Accessed: 2026-02-04.","author":"Aiken Alex","year":"1994","unstructured":"Alex Aiken. 1994. MOSS: A Tool for Detecting Software Similarity. https:\/\/theory.stanford.edu\/ aiken\/moss\/. Accessed: 2026-02-04."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2090116.2090132"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.12729864"},{"key":"e_1_3_2_1_7_1","unstructured":"Josh Freeman. 2025. Student Generative AI Survey 2025. Report 61. Higher Education Policy Institute (HEPI) London UK."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2024.09.689"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1151588.1151600"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3231711"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","unstructured":"Francesca Lucchetti Zixuan Wu Arjun Guha Molly Q. Feldman and Carolyn Jane Anderson. 2024. Substance Beats Style: Why Beginning Students Fail to Code with LLMs. doi:10.48550\/arXiv.2410.19792 arXiv:2410.19792 [cs].","DOI":"10.48550\/arXiv.2410.19792"},{"key":"e_1_3_2_1_12_1","first-page":"1016","article-title":"Finding Plagiarisms among a Set of Programs with JPlag","volume":"8","author":"Prechelt Lutz","year":"2002","unstructured":"Lutz Prechelt, Guido Malpohl, and Michael Philippsen. 2002. Finding Plagiarisms among a Set of Programs with JPlag. Journal of Universal Computer Science, Vol. 8, 11 (2002), 1016-1038. https:\/\/www.jucs.org\/jucs_8_11\/finding_plagiarisms_among","journal-title":"Journal of Universal Computer Science"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","unstructured":"Vinu Sankar Sadasivan Aounon Kumar Sriram Balasubramanian Wenxiao Wang and Soheil Feizi. 2025. Can AI-Generated Text be Reliably Detected? doi:10.48550\/arXiv.2303.11156 arXiv:2303.11156 [cs].","DOI":"10.48550\/arXiv.2303.11156"},{"key":"e_1_3_2_1_14_1","unstructured":"Timur Sa?lam and Larissa Schmid. 2025. Evaluating Software Plagiarism Detection in the Age of AI: Automated Obfuscation and Lessons for Academic Integrity. arXiv:2505.20158 [cs.SE] https:\/\/arxiv.org\/abs\/2505.20158"},{"key":"e_1_3_2_1_15_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Lukasz Kaiser and Illia Polosukhin. 2023. Attention Is All You Need. arXiv:1706.03762 [cs.CL] https:\/\/arxiv.org\/abs\/1706.03762"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICALT.2013.99"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1177\/016146811711900305"}],"event":{"name":"L@S '26: Thirteenth ACM Conference on Learning @ Scale","location":"Seoul Republic of Korea"},"container-title":["Proceedings of the Thirteenth ACM Conference on Learning @ Scale"],"original-title":[],"deposited":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T15:54:34Z","timestamp":1782143674000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774398.3811574"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,28]]},"references-count":17,"alternative-id":["10.1145\/3774398.3811574","10.1145\/3774398"],"URL":"https:\/\/doi.org\/10.1145\/3774398.3811574","relation":{},"subject":[],"published":{"date-parts":[[2026,6,28]]},"assertion":[{"value":"2026-06-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}