{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:3KYLE4PP3PG23BZF3XIHYXJBSZ","short_pith_number":"pith:3KYLE4PP","schema_version":"1.0","canonical_sha256":"dab0b271efdbcdad8725ddd07c5d21965847b59efce3cf05b75bdea26da9989f","source":{"kind":"arxiv","id":"2505.20303","version":1},"attestation_state":"computed","paper":{"title":"Future of Code with Generative AI: Transparency and Safety in the Era of AI Generated Software","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"David Hanson","submitted_at":"2025-05-18T05:01:41Z","abstract_excerpt":"As artificial intelligence becomes increasingly integrated into software development processes, the prevalence and sophistication of AI-generated code continue to expand rapidly. This study addresses the critical need for transparency and safety in AI generated code by examining the current landscape, identifying potential risks, and exploring future implications. We analyze market opportunities for detecting AI-generated code, discuss the challenges associated with managing increasing complexity, and propose solutions to enhance transparency and functionality analysis. Furthermore, this study"},"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":"2505.20303","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-05-18T05:01:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2b86662984a8c6d07968e75a0fedd257403b0cf5e2a2f5c5fa79f7c90e13b2f5","abstract_canon_sha256":"e6addf179c964c78fc2ab703aa8465226a82bf19d691f3bfb4a80fe2692bfaa4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:11.027653Z","signature_b64":"kha/+Y15WExSfNQ4Sa/Zuu0j7ObhH70fj/YTdynQlbo1CxP7P/XPMWvLp1aueWbDS1g8DU2YxI783F3wZG2zDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dab0b271efdbcdad8725ddd07c5d21965847b59efce3cf05b75bdea26da9989f","last_reissued_at":"2026-07-05T11:10:11.027198Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:11.027198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Future of Code with Generative AI: Transparency and Safety in the Era of AI Generated Software","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"David Hanson","submitted_at":"2025-05-18T05:01:41Z","abstract_excerpt":"As artificial intelligence becomes increasingly integrated into software development processes, the prevalence and sophistication of AI-generated code continue to expand rapidly. This study addresses the critical need for transparency and safety in AI generated code by examining the current landscape, identifying potential risks, and exploring future implications. We analyze market opportunities for detecting AI-generated code, discuss the challenges associated with managing increasing complexity, and propose solutions to enhance transparency and functionality analysis. Furthermore, this study"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20303","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/2505.20303/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":"2505.20303","created_at":"2026-07-05T11:10:11.027247+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.20303v1","created_at":"2026-07-05T11:10:11.027247+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20303","created_at":"2026-07-05T11:10:11.027247+00:00"},{"alias_kind":"pith_short_12","alias_value":"3KYLE4PP3PG2","created_at":"2026-07-05T11:10:11.027247+00:00"},{"alias_kind":"pith_short_16","alias_value":"3KYLE4PP3PG23BZF","created_at":"2026-07-05T11:10:11.027247+00:00"},{"alias_kind":"pith_short_8","alias_value":"3KYLE4PP","created_at":"2026-07-05T11:10:11.027247+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/3KYLE4PP3PG23BZF3XIHYXJBSZ","json":"https://pith.science/pith/3KYLE4PP3PG23BZF3XIHYXJBSZ.json","graph_json":"https://pith.science/api/pith-number/3KYLE4PP3PG23BZF3XIHYXJBSZ/graph.json","events_json":"https://pith.science/api/pith-number/3KYLE4PP3PG23BZF3XIHYXJBSZ/events.json","paper":"https://pith.science/paper/3KYLE4PP"},"agent_actions":{"view_html":"https://pith.science/pith/3KYLE4PP3PG23BZF3XIHYXJBSZ","download_json":"https://pith.science/pith/3KYLE4PP3PG23BZF3XIHYXJBSZ.json","view_paper":"https://pith.science/paper/3KYLE4PP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.20303&json=true","fetch_graph":"https://pith.science/api/pith-number/3KYLE4PP3PG23BZF3XIHYXJBSZ/graph.json","fetch_events":"https://pith.science/api/pith-number/3KYLE4PP3PG23BZF3XIHYXJBSZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3KYLE4PP3PG23BZF3XIHYXJBSZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3KYLE4PP3PG23BZF3XIHYXJBSZ/action/storage_attestation","attest_author":"https://pith.science/pith/3KYLE4PP3PG23BZF3XIHYXJBSZ/action/author_attestation","sign_citation":"https://pith.science/pith/3KYLE4PP3PG23BZF3XIHYXJBSZ/action/citation_signature","submit_replication":"https://pith.science/pith/3KYLE4PP3PG23BZF3XIHYXJBSZ/action/replication_record"}},"created_at":"2026-07-05T11:10:11.027247+00:00","updated_at":"2026-07-05T11:10:11.027247+00:00"}