{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HJ4ZYRMOYR76WHB5REQCNT4E4I","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":"fd040ace1b10e12420ad97c1b2a4e68e0c01ea91102281297d81072e8276f6ab","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-04-29T14:13:57Z","title_canon_sha256":"a58e9f78a68b3ec18cc9da12d6df31b16e72ddde331c594c3990360de2876f0c"},"schema_version":"1.0","source":{"id":"2504.20799","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.20799","created_at":"2026-07-05T11:02:23Z"},{"alias_kind":"arxiv_version","alias_value":"2504.20799v2","created_at":"2026-07-05T11:02:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.20799","created_at":"2026-07-05T11:02:23Z"},{"alias_kind":"pith_short_12","alias_value":"HJ4ZYRMOYR76","created_at":"2026-07-05T11:02:23Z"},{"alias_kind":"pith_short_16","alias_value":"HJ4ZYRMOYR76WHB5","created_at":"2026-07-05T11:02:23Z"},{"alias_kind":"pith_short_8","alias_value":"HJ4ZYRMO","created_at":"2026-07-05T11:02:23Z"}],"graph_snapshots":[{"event_id":"sha256:bea9938271aa11a177ae50a3d189c1f331b1fd1b71f28d4b4a9e0aa9ac23ce93","target":"graph","created_at":"2026-07-05T11:02:23Z","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/2504.20799/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent technical breakthroughs in large language models (LLMs) have enabled them to fluently generate source code. Software developers often leverage both general-purpose and code-specialized LLMs to revise existing code or even generate a whole function from scratch. These capabilities are also beneficial in no-code or low-code contexts, in which one can write programs without a technical background. However, due to their internal design, LLMs are prone to generating hallucinations, which are incorrect, nonsensical, and not justifiable information but difficult to identify its presence. This ","authors_text":"Dongsun Kim, Jaechang Nam, Jindae Kim, John Youngeun Song, Mijung Kim, Yunseo Lee","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-04-29T14:13:57Z","title":"Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.20799","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":"sha256:987ec1629da36f200303920e89147dd92d309b1007d9ae191430d2b703b79122","target":"record","created_at":"2026-07-05T11:02:23Z","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":"fd040ace1b10e12420ad97c1b2a4e68e0c01ea91102281297d81072e8276f6ab","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-04-29T14:13:57Z","title_canon_sha256":"a58e9f78a68b3ec18cc9da12d6df31b16e72ddde331c594c3990360de2876f0c"},"schema_version":"1.0","source":{"id":"2504.20799","kind":"arxiv","version":2}},"canonical_sha256":"3a799c458ec47feb1c3d892026cf84e23976a151934f7a96144f816b57e181fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a799c458ec47feb1c3d892026cf84e23976a151934f7a96144f816b57e181fb","first_computed_at":"2026-07-05T11:02:23.906086Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:23.906086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PoZIT/JNcBd52lTcmYeYGF/qR4eTMg6xdf6J8gdhSYwsbbP8PdqI00OWFaKGpzrZKH7Y3rJ76SqSxqdWEt5hCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:23.906563Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.20799","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:987ec1629da36f200303920e89147dd92d309b1007d9ae191430d2b703b79122","sha256:bea9938271aa11a177ae50a3d189c1f331b1fd1b71f28d4b4a9e0aa9ac23ce93"],"state_sha256":"b608bcc5633c12df6949265b7326fa8393fdc0f39a91dd56f03d142c77e590ff"}