{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DBJXCIQ3KCQBAFWVZ3QEMUGTWL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"206d02bd75487a6b7c4f0f61825e2dc471656a368500a803eacda96a94a70aba","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-18T11:23:17Z","title_canon_sha256":"dff79be04e61501cc0946170891f722ab11d19dc5d7bb6828af0f328109eaf21"},"schema_version":"1.0","source":{"id":"2507.14256","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14256","created_at":"2026-07-05T11:40:02Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14256v1","created_at":"2026-07-05T11:40:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14256","created_at":"2026-07-05T11:40:02Z"},{"alias_kind":"pith_short_12","alias_value":"DBJXCIQ3KCQB","created_at":"2026-07-05T11:40:02Z"},{"alias_kind":"pith_short_16","alias_value":"DBJXCIQ3KCQBAFWV","created_at":"2026-07-05T11:40:02Z"},{"alias_kind":"pith_short_8","alias_value":"DBJXCIQ3","created_at":"2026-07-05T11:40:02Z"}],"graph_snapshots":[{"event_id":"sha256:7c6273d4aafc095f5a4d5c714adeceefc95f22b658a9a9dabc1419e5b0b9fb41","target":"graph","created_at":"2026-07-05T11:40:02Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.14256/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative AI is gaining increasing attention in software engineering, where testing remains an indispensable reliability mechanism. According to the widely adopted testing pyramid, unit tests constitute the majority of test cases and are often schematic, requiring minimal domain expertise. Automatically generating such tests under the supervision of software engineers can significantly enhance productivity during the development phase of the software lifecycle.\n  This paper investigates the impact of code context and prompting strategies on the quality and adequacy of unit tests generated by ","authors_text":"Artur Laskowski, Jakub Walczak, Piotr Tomalak","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-18T11:23:17Z","title":"Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14256","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f79f38c22aec156435259f9b1d4a5e59a5bc345745258360da29c803f5358e85","target":"record","created_at":"2026-07-05T11:40:02Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"206d02bd75487a6b7c4f0f61825e2dc471656a368500a803eacda96a94a70aba","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-18T11:23:17Z","title_canon_sha256":"dff79be04e61501cc0946170891f722ab11d19dc5d7bb6828af0f328109eaf21"},"schema_version":"1.0","source":{"id":"2507.14256","kind":"arxiv","version":1}},"canonical_sha256":"185371221b50a01016d5cee04650d3b2c518cdd2e8598df73ebb5b44f951dcdc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"185371221b50a01016d5cee04650d3b2c518cdd2e8598df73ebb5b44f951dcdc","first_computed_at":"2026-07-05T11:40:02.847635Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:02.847635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rOEZkhSxl5xKr3Rxp5ckTGqyifL81YrvviSAAYVlpUC0dse7bMITttZfjhgyWynEYgdCXzHCBkFluBvGGvM6Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:02.848125Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.14256","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f79f38c22aec156435259f9b1d4a5e59a5bc345745258360da29c803f5358e85","sha256:7c6273d4aafc095f5a4d5c714adeceefc95f22b658a9a9dabc1419e5b0b9fb41"],"state_sha256":"83f9fcec471bdd55ba0d6eaab65fe999a12f07fb0b4e22e6537c0c3e06e7a4c2"}