{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:Q6H2GDOALQLL4IYDLCCC5C7LMH","short_pith_number":"pith:Q6H2GDOA","schema_version":"1.0","canonical_sha256":"878fa30dc05c16be230358842e8beb61c01486de281664e3c30635ed134a8a6a","source":{"kind":"arxiv","id":"2606.19644","version":1},"attestation_state":"computed","paper":{"title":"Prompt Quality and Pull Request Outcomes: A Stage-Based Empirical Study of LLM-Assisted Development","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Daniel Ogenrwot, John Businge, Richard Sserunjogi","submitted_at":"2026-06-17T22:50:22Z","abstract_excerpt":"Large language model (LLM)-powered tools such as ChatGPT are increasingly used in collaborative software engineering workflows, yet little is known about how prompt structure influences downstream pull request (PR) outcomes. Prior studies primarily examine conversational helpfulness, productivity, or coarse-grained adoption metrics, leaving the role of prompt structure in collaborative integration behavior insufficiently understood. We analyze 265 manually validated developer-ChatGPT interactions derived from self-admitted ChatGPT usage in open-source pull requests. Building on prior research "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.19644","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-17T22:50:22Z","cross_cats_sorted":[],"title_canon_sha256":"32ad450d79a899571aa1d42ac3c6875fe167cb715cb76c772329cf0a6bda41d7","abstract_canon_sha256":"ac4cba9bdfc6b37b5fde80f39f36a37f4ddc23f9e9320caf863c7d2940c46cf7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:31.142153Z","signature_b64":"lrSZYk6QDu6gP+JJpB05PPvmYYjMYCg/txrqp6JOvcz0JeYVS1VWXqhGw1p7bJV/S4l3bt7iGSi0LFo4DVJACQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"878fa30dc05c16be230358842e8beb61c01486de281664e3c30635ed134a8a6a","last_reissued_at":"2026-06-19T16:12:31.141812Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:31.141812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Prompt Quality and Pull Request Outcomes: A Stage-Based Empirical Study of LLM-Assisted Development","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Daniel Ogenrwot, John Businge, Richard Sserunjogi","submitted_at":"2026-06-17T22:50:22Z","abstract_excerpt":"Large language model (LLM)-powered tools such as ChatGPT are increasingly used in collaborative software engineering workflows, yet little is known about how prompt structure influences downstream pull request (PR) outcomes. Prior studies primarily examine conversational helpfulness, productivity, or coarse-grained adoption metrics, leaving the role of prompt structure in collaborative integration behavior insufficiently understood. We analyze 265 manually validated developer-ChatGPT interactions derived from self-admitted ChatGPT usage in open-source pull requests. Building on prior research "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19644","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/2606.19644/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.19644","created_at":"2026-06-19T16:12:31.141873+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.19644v1","created_at":"2026-06-19T16:12:31.141873+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19644","created_at":"2026-06-19T16:12:31.141873+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q6H2GDOALQLL","created_at":"2026-06-19T16:12:31.141873+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q6H2GDOALQLL4IYD","created_at":"2026-06-19T16:12:31.141873+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q6H2GDOA","created_at":"2026-06-19T16:12:31.141873+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH","json":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH.json","graph_json":"https://pith.science/api/pith-number/Q6H2GDOALQLL4IYDLCCC5C7LMH/graph.json","events_json":"https://pith.science/api/pith-number/Q6H2GDOALQLL4IYDLCCC5C7LMH/events.json","paper":"https://pith.science/paper/Q6H2GDOA"},"agent_actions":{"view_html":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH","download_json":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH.json","view_paper":"https://pith.science/paper/Q6H2GDOA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.19644&json=true","fetch_graph":"https://pith.science/api/pith-number/Q6H2GDOALQLL4IYDLCCC5C7LMH/graph.json","fetch_events":"https://pith.science/api/pith-number/Q6H2GDOALQLL4IYDLCCC5C7LMH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH/action/storage_attestation","attest_author":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH/action/author_attestation","sign_citation":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH/action/citation_signature","submit_replication":"https://pith.science/pith/Q6H2GDOALQLL4IYDLCCC5C7LMH/action/replication_record"}},"created_at":"2026-06-19T16:12:31.141873+00:00","updated_at":"2026-06-19T16:12:31.141873+00:00"}