{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:H6JSD4RIMIRL45DZVWUGNTDOC7","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":"f77bd724350f5162bf66d7824f9ef2beb4c254f543136239ba17d45036a76c76","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-06T20:05:41Z","title_canon_sha256":"e1d8f997f4121b31f582c0839b6800ebc6b7aa82b1f0d421208ae0afa6d5f870"},"schema_version":"1.0","source":{"id":"2506.06509","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06509","created_at":"2026-07-05T11:46:43Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06509v2","created_at":"2026-07-05T11:46:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06509","created_at":"2026-07-05T11:46:43Z"},{"alias_kind":"pith_short_12","alias_value":"H6JSD4RIMIRL","created_at":"2026-07-05T11:46:43Z"},{"alias_kind":"pith_short_16","alias_value":"H6JSD4RIMIRL45DZ","created_at":"2026-07-05T11:46:43Z"},{"alias_kind":"pith_short_8","alias_value":"H6JSD4RI","created_at":"2026-07-05T11:46:43Z"}],"graph_snapshots":[{"event_id":"sha256:001c2c44c186a13a3b16c077a03f80263590e0246623676e336963a9383357c7","target":"graph","created_at":"2026-07-05T11:46:43Z","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/2506.06509/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this contribution, we examine the capability of private GPTs to automatically generate executable test code based on requirements. More specifically, we use acceptance criteria as input, formulated as part of epics, or stories, which are typically used in modern development processes. This gives product owners, or business intelligence, respectively, a way to directly produce testable criteria through the use of LLMs. We explore the quality of the so-produced tests in two ways: i) directly by letting the LLM generate code from requirements, ii) through an intermediate step using Gherkin syn","authors_text":"Consuelo Rojas, Jakub Jagielski, Markus Abel","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-06T20:05:41Z","title":"Private GPTs for LLM-driven testing in software development and machine learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06509","kind":"arxiv","version":2},"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":"sha256:800f21922c1fc003cdc6d6fc7a4a611dae0b9f9f05ac42f985ffb3e46b874f4f","target":"record","created_at":"2026-07-05T11:46:43Z","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":"f77bd724350f5162bf66d7824f9ef2beb4c254f543136239ba17d45036a76c76","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-06T20:05:41Z","title_canon_sha256":"e1d8f997f4121b31f582c0839b6800ebc6b7aa82b1f0d421208ae0afa6d5f870"},"schema_version":"1.0","source":{"id":"2506.06509","kind":"arxiv","version":2}},"canonical_sha256":"3f9321f2286222be7479ada866cc6e17e154f6587693378b0f28b232a4ca743e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f9321f2286222be7479ada866cc6e17e154f6587693378b0f28b232a4ca743e","first_computed_at":"2026-07-05T11:46:43.892064Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:43.892064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qyiCAKFzRA3mzMy4o3zJ6fTSCBMn3Jn9h/8uzkUBXxohuyxrSlAAB/ecKo2bBRmzZR8L4eA/XQlB3C7kkTzeBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:43.892542Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.06509","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:800f21922c1fc003cdc6d6fc7a4a611dae0b9f9f05ac42f985ffb3e46b874f4f","sha256:001c2c44c186a13a3b16c077a03f80263590e0246623676e336963a9383357c7"],"state_sha256":"69781198288803bd66280790a889f4afc0b2149394d914a8edc579622e13f0be"}