{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:O3XXU6YS7VKGMMHIAM2CQ26XS6","short_pith_number":"pith:O3XXU6YS","canonical_record":{"source":{"id":"2409.03838","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-05T18:02:41Z","cross_cats_sorted":[],"title_canon_sha256":"96d0a5bf5fb986cb4675c878b2098cdd57d8003db9c8ad35cc15432788e81213","abstract_canon_sha256":"8079a7453e05b33b02a25ce1a803a187f9786105d29768f18c1547b705a6088f"},"schema_version":"1.0"},"canonical_sha256":"76ef7a7b12fd546630e80334286bd7978f5bdc03e17d4956886bb79e80a5111b","source":{"kind":"arxiv","id":"2409.03838","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.03838","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"arxiv_version","alias_value":"2409.03838v1","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.03838","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"pith_short_12","alias_value":"O3XXU6YS7VKG","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"pith_short_16","alias_value":"O3XXU6YS7VKGMMHI","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"pith_short_8","alias_value":"O3XXU6YS","created_at":"2026-07-05T09:03:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:O3XXU6YS7VKGMMHIAM2CQ26XS6","target":"record","payload":{"canonical_record":{"source":{"id":"2409.03838","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-05T18:02:41Z","cross_cats_sorted":[],"title_canon_sha256":"96d0a5bf5fb986cb4675c878b2098cdd57d8003db9c8ad35cc15432788e81213","abstract_canon_sha256":"8079a7453e05b33b02a25ce1a803a187f9786105d29768f18c1547b705a6088f"},"schema_version":"1.0"},"canonical_sha256":"76ef7a7b12fd546630e80334286bd7978f5bdc03e17d4956886bb79e80a5111b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:03:57.704106Z","signature_b64":"atuUUlLzQE27pPjPhHxQPEr0FO8hqV2XiygN59weyyVt2m/66h65ZJ10BAe8cg3PhO2o2aTDdICzx8CGwZPTBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76ef7a7b12fd546630e80334286bd7978f5bdc03e17d4956886bb79e80a5111b","last_reissued_at":"2026-07-05T09:03:57.703667Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:03:57.703667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.03838","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:03:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WoxA632yRb+KrRlCqXsLdu44R771kFS/k5LUWDZWYRpeK9Wp4rQm7XW3opY52sjmv27iIh3EdiFK3RvJU1KnDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T04:50:12.811331Z"},"content_sha256":"a9fc827cd932012e975fb86609c7d62884bbfb17e5b43097fb3f60a6e400736d","schema_version":"1.0","event_id":"sha256:a9fc827cd932012e975fb86609c7d62884bbfb17e5b43097fb3f60a6e400736d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:O3XXU6YS7VKGMMHIAM2CQ26XS6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"APITestGenie: Automated API Test Generation through Generative AI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Andr\\'e Pereira, Bruno Lima, Jo\\~ao Pascoal Faria","submitted_at":"2024-09-05T18:02:41Z","abstract_excerpt":"Intelligent assistants powered by Large Language Models (LLMs) can generate program and test code with high accuracy, boosting developers' and testers' productivity. However, there is a lack of studies exploring LLMs for testing Web APIs, which constitute fundamental building blocks of modern software systems and pose significant test challenges. Hence, in this article, we introduce APITestGenie, an approach and tool that leverages LLMs to generate executable API test scripts from business requirements and API specifications. In experiments with 10 real-world APIs, the tool generated valid tes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.03838","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/2409.03838/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:03:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HdxU6908d3+lSXiG/aNYuH2NN6hjXlTUtS5tYp+/bmn3HFBZ900Rg5bfb5Mvk7OrcHcgHnegWjOoFsQuAfVPDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T04:50:12.812100Z"},"content_sha256":"50421dfda5617898ae41f1f25d40d7db2b9e0c6cb9af7559a6d934fe917fa1a2","schema_version":"1.0","event_id":"sha256:50421dfda5617898ae41f1f25d40d7db2b9e0c6cb9af7559a6d934fe917fa1a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O3XXU6YS7VKGMMHIAM2CQ26XS6/bundle.json","state_url":"https://pith.science/pith/O3XXU6YS7VKGMMHIAM2CQ26XS6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O3XXU6YS7VKGMMHIAM2CQ26XS6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T04:50:12Z","links":{"resolver":"https://pith.science/pith/O3XXU6YS7VKGMMHIAM2CQ26XS6","bundle":"https://pith.science/pith/O3XXU6YS7VKGMMHIAM2CQ26XS6/bundle.json","state":"https://pith.science/pith/O3XXU6YS7VKGMMHIAM2CQ26XS6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O3XXU6YS7VKGMMHIAM2CQ26XS6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:O3XXU6YS7VKGMMHIAM2CQ26XS6","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":"8079a7453e05b33b02a25ce1a803a187f9786105d29768f18c1547b705a6088f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-05T18:02:41Z","title_canon_sha256":"96d0a5bf5fb986cb4675c878b2098cdd57d8003db9c8ad35cc15432788e81213"},"schema_version":"1.0","source":{"id":"2409.03838","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.03838","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"arxiv_version","alias_value":"2409.03838v1","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.03838","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"pith_short_12","alias_value":"O3XXU6YS7VKG","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"pith_short_16","alias_value":"O3XXU6YS7VKGMMHI","created_at":"2026-07-05T09:03:57Z"},{"alias_kind":"pith_short_8","alias_value":"O3XXU6YS","created_at":"2026-07-05T09:03:57Z"}],"graph_snapshots":[{"event_id":"sha256:50421dfda5617898ae41f1f25d40d7db2b9e0c6cb9af7559a6d934fe917fa1a2","target":"graph","created_at":"2026-07-05T09:03:57Z","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/2409.03838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Intelligent assistants powered by Large Language Models (LLMs) can generate program and test code with high accuracy, boosting developers' and testers' productivity. However, there is a lack of studies exploring LLMs for testing Web APIs, which constitute fundamental building blocks of modern software systems and pose significant test challenges. Hence, in this article, we introduce APITestGenie, an approach and tool that leverages LLMs to generate executable API test scripts from business requirements and API specifications. In experiments with 10 real-world APIs, the tool generated valid tes","authors_text":"Andr\\'e Pereira, Bruno Lima, Jo\\~ao Pascoal Faria","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-05T18:02:41Z","title":"APITestGenie: Automated API Test Generation through Generative AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.03838","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:a9fc827cd932012e975fb86609c7d62884bbfb17e5b43097fb3f60a6e400736d","target":"record","created_at":"2026-07-05T09:03:57Z","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":"8079a7453e05b33b02a25ce1a803a187f9786105d29768f18c1547b705a6088f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-05T18:02:41Z","title_canon_sha256":"96d0a5bf5fb986cb4675c878b2098cdd57d8003db9c8ad35cc15432788e81213"},"schema_version":"1.0","source":{"id":"2409.03838","kind":"arxiv","version":1}},"canonical_sha256":"76ef7a7b12fd546630e80334286bd7978f5bdc03e17d4956886bb79e80a5111b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76ef7a7b12fd546630e80334286bd7978f5bdc03e17d4956886bb79e80a5111b","first_computed_at":"2026-07-05T09:03:57.703667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:03:57.703667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"atuUUlLzQE27pPjPhHxQPEr0FO8hqV2XiygN59weyyVt2m/66h65ZJ10BAe8cg3PhO2o2aTDdICzx8CGwZPTBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:03:57.704106Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.03838","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9fc827cd932012e975fb86609c7d62884bbfb17e5b43097fb3f60a6e400736d","sha256:50421dfda5617898ae41f1f25d40d7db2b9e0c6cb9af7559a6d934fe917fa1a2"],"state_sha256":"aa46de36d081dddb1fcb4c754f9ce25e9e038b3cc26c7b49de580b16a93c5db5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CXbMyrogdqW5n8Ke9MzuxYB+vdxSA/gNDGJ6zHR3fqvFzqWfETGP3+Q5Qm5IpU5XxdAQyc4RuIO2sG4C1Wm4AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T04:50:12.818330Z","bundle_sha256":"b53cfd42cae4018b354fa453171efbc5ea538aa56d7c13c6fe180e74749661d0"}}