{"paper":{"title":"Source Code Authorship Attribution Does Not Generalize from Competitions to Classrooms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Marek Horv\\'ath, Serhii Yemets","submitted_at":"2026-07-31T19:15:43Z","abstract_excerpt":"Source code authorship attribution aims to identify the author of a program fragment from its writing style. We fine-tune the pre-trained transformer CodeBERT on three sources of data: publicly available Google Code Jam (GCJ) submissions from an open Kaggle repository, a curated GCJ archive, and institutional coursework datasets collected at a technical university. On multi-round GCJ data, CodeBERT reaches 92.6% Top-1 accuracy for 10 authors and retains 70.7% Top-1 (88.2% Top-10) for 1000 authors. On the examined coursework datasets, the same pipeline performs at or below the corresponding cha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.00227","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.00227/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}