{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UY7PUD3DTNGSRT3PBEILDB27HR","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":"62abc09a04d2a334eb9db5669d330ef7d8434045424b39aed71f3f5b35708574","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-20T04:17:21Z","title_canon_sha256":"e613f3e34fbf0dd05d75bbeb5c7b6c09b9179ee9ec56159a4c6ee1177134e9ad"},"schema_version":"1.0","source":{"id":"2402.14852","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.14852","created_at":"2026-07-05T07:48:18Z"},{"alias_kind":"arxiv_version","alias_value":"2402.14852v1","created_at":"2026-07-05T07:48:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.14852","created_at":"2026-07-05T07:48:18Z"},{"alias_kind":"pith_short_12","alias_value":"UY7PUD3DTNGS","created_at":"2026-07-05T07:48:18Z"},{"alias_kind":"pith_short_16","alias_value":"UY7PUD3DTNGSRT3P","created_at":"2026-07-05T07:48:18Z"},{"alias_kind":"pith_short_8","alias_value":"UY7PUD3D","created_at":"2026-07-05T07:48:18Z"}],"graph_snapshots":[{"event_id":"sha256:4ec409391a2bbdc4b8615200062960699417a78b5e32896148b50915510d8fb2","target":"graph","created_at":"2026-07-05T07:48:18Z","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/2402.14852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In 2023, we are using the latest models of GPT-4 to advance program synthesis. The large language models have significantly improved the state-of-the-art for this purpose. To make these advancements more accessible, we have created a repository that connects these models to Huamn Eval. This dataset was initally developed to be used with a language model called CODEGEN on natural and programming language data. The utility of these trained models is showcased by demonstrating their competitive performance in zero-shot Python code generation on HumanEval tasks compared to previous state-of-the-ar","authors_text":"Daniel Li, Lincoln Murr","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-20T04:17:21Z","title":"HumanEval on Latest GPT Models -- 2024"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.14852","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":"sha256:16303bc80fd7e7a9efd77f71b3c65a14ad5972d906333521abbb3d1b3689bf81","target":"record","created_at":"2026-07-05T07:48:18Z","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":"62abc09a04d2a334eb9db5669d330ef7d8434045424b39aed71f3f5b35708574","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-20T04:17:21Z","title_canon_sha256":"e613f3e34fbf0dd05d75bbeb5c7b6c09b9179ee9ec56159a4c6ee1177134e9ad"},"schema_version":"1.0","source":{"id":"2402.14852","kind":"arxiv","version":1}},"canonical_sha256":"a63efa0f639b4d28cf6f0910b1875f3c58cd7bebc4ac5a8c2832d86797dada6d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a63efa0f639b4d28cf6f0910b1875f3c58cd7bebc4ac5a8c2832d86797dada6d","first_computed_at":"2026-07-05T07:48:18.868045Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:48:18.868045Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vb+jkKWCywFukmVUPiqZeOju5MAO2p+lbgXVYpAa2pZhiSzmBc9YUrN5rJHVKCxkpkAn8tV8Xgqndt+Q/o/IBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:48:18.868531Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.14852","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16303bc80fd7e7a9efd77f71b3c65a14ad5972d906333521abbb3d1b3689bf81","sha256:4ec409391a2bbdc4b8615200062960699417a78b5e32896148b50915510d8fb2"],"state_sha256":"1b91837bd03636e1fba4ff5c4874d135c0091c211a3972cc591bd08d10ac02d6"}