{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HGLNEGE6643TJTUSBB5XKC4Q23","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":"e8be5acd8df6ed1a35be3a28c36ccf304ab43932083b697e00fc641fc7cd79ab","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-14T15:18:48Z","title_canon_sha256":"35981c93fff9174666b1739ac0baa0093458a862d8a9fe0b3d7d5cc527568caf"},"schema_version":"1.0","source":{"id":"2306.08568","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.08568","created_at":"2026-07-05T11:09:56Z"},{"alias_kind":"arxiv_version","alias_value":"2306.08568v2","created_at":"2026-07-05T11:09:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.08568","created_at":"2026-07-05T11:09:56Z"},{"alias_kind":"pith_short_12","alias_value":"HGLNEGE6643T","created_at":"2026-07-05T11:09:56Z"},{"alias_kind":"pith_short_16","alias_value":"HGLNEGE6643TJTUS","created_at":"2026-07-05T11:09:56Z"},{"alias_kind":"pith_short_8","alias_value":"HGLNEGE6","created_at":"2026-07-05T11:09:56Z"}],"graph_snapshots":[{"event_id":"sha256:c85043d54d3ada5b5d5160c1347a2b7c06065b88a9d72870173a5a9dff2422d0","target":"graph","created_at":"2026-07-05T11:09:56Z","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/2306.08568/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. In this paper, we introduce WizardCoder, which empowers Code LLMs with complex instruction fine-tuning, by adapting the Evol-Instruct method to the domain of code. Through comprehensive experiments on four prominent code generation benchmarks, namely HumanEval, HumanEval+, MBPP, and DS-1000, we unveil the exceptional capabilities of our model. It surpasses all ","authors_text":"Can Xu, Chongyang Tao, Daxin Jiang, Jing Ma, Pu Zhao, Qingfeng Sun, Qingwei Lin, Wenxiang Hu, Xiubo Geng, Ziyang Luo","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-14T15:18:48Z","title":"WizardCoder: Empowering Code Large Language Models with Evol-Instruct"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.08568","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:ba3c7c847baa6d82ced6d092a7e78bce1db42fc2dbbc0ef0a54fbf14d172528a","target":"record","created_at":"2026-07-05T11:09:56Z","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":"e8be5acd8df6ed1a35be3a28c36ccf304ab43932083b697e00fc641fc7cd79ab","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-14T15:18:48Z","title_canon_sha256":"35981c93fff9174666b1739ac0baa0093458a862d8a9fe0b3d7d5cc527568caf"},"schema_version":"1.0","source":{"id":"2306.08568","kind":"arxiv","version":2}},"canonical_sha256":"3996d2189ef73734ce92087b750b90d6ca5dcf11ed69c1ef430e2f5fd57e4f3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3996d2189ef73734ce92087b750b90d6ca5dcf11ed69c1ef430e2f5fd57e4f3a","first_computed_at":"2026-07-05T11:09:56.889051Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:56.889051Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ngeC7l+fDsDah8h6DFCCzdvWPxe+ddtAsSI18is/HkaaLWh/8DDgz7dpG/VRUdZ4yGAKlWDEc05WXqObi/UCAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:56.889540Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.08568","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba3c7c847baa6d82ced6d092a7e78bce1db42fc2dbbc0ef0a54fbf14d172528a","sha256:c85043d54d3ada5b5d5160c1347a2b7c06065b88a9d72870173a5a9dff2422d0"],"state_sha256":"590e07f7bbe8cafd678a2552eb49049225d29fdeacd12492fddb4d4c2398d38b"}