{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RYPRJUQ7ST3BHM3BJMJ6KQWQA4","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":"c5da3d0d077050d059ac916911dd291626424c3fd5d3afe672a4aa8a6031f593","cross_cats_sorted":["cs.AI","cs.CL","cs.PL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-21T08:54:56Z","title_canon_sha256":"3263f04699e55e7a0306057a5782507bd3eec31db7c766f07cb1b2a3344327ce"},"schema_version":"1.0","source":{"id":"2403.14734","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.14734","created_at":"2026-07-05T10:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"2403.14734v5","created_at":"2026-07-05T10:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.14734","created_at":"2026-07-05T10:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"RYPRJUQ7ST3B","created_at":"2026-07-05T10:05:09Z"},{"alias_kind":"pith_short_16","alias_value":"RYPRJUQ7ST3BHM3B","created_at":"2026-07-05T10:05:09Z"},{"alias_kind":"pith_short_8","alias_value":"RYPRJUQ7","created_at":"2026-07-05T10:05:09Z"}],"graph_snapshots":[{"event_id":"sha256:9606ac3c0ef3213404cce50e3ac65bdc83a0b591d79b5176834246c9fc1a60d0","target":"graph","created_at":"2026-07-05T10:05:09Z","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/2403.14734/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural Code Intelligence -- leveraging deep learning to understand, generate, and optimize code -- holds immense potential for transformative impacts on the whole society. Bridging the gap between Natural Language and Programming Language, this domain has drawn significant attention from researchers in both research communities over the past few years. This survey presents a systematic and chronological review of the advancements in code intelligence, encompassing over 50 representative models and their variants, more than 20 categories of tasks, and an extensive coverage of over 680 related w","authors_text":"Chang Ma, Chengcheng Han, Fangzhi Xu, Fei Yuan, Jianing Wang, Kanzhi Cheng, Lingpeng Kong, Pengcheng Yin, Qipeng Guo, Qiushi Sun, Renyu Zhu, Shuai Yuan, Xiang Li, Xiaoli Li, Xipeng Qiu, Zhangyue Yin, Zhirui Chen, Zhiyong Wu","cross_cats":["cs.AI","cs.CL","cs.PL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-21T08:54:56Z","title":"A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.14734","kind":"arxiv","version":5},"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":"sha256:13c18d7ead332a1233fdc2c6879be6d4f440afb6a2fd79418a1aa7eca93c965d","target":"record","created_at":"2026-07-05T10:05:09Z","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":"c5da3d0d077050d059ac916911dd291626424c3fd5d3afe672a4aa8a6031f593","cross_cats_sorted":["cs.AI","cs.CL","cs.PL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-03-21T08:54:56Z","title_canon_sha256":"3263f04699e55e7a0306057a5782507bd3eec31db7c766f07cb1b2a3344327ce"},"schema_version":"1.0","source":{"id":"2403.14734","kind":"arxiv","version":5}},"canonical_sha256":"8e1f14d21f94f613b3614b13e542d0072321d79a2c74580a4397e3377e8d976e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e1f14d21f94f613b3614b13e542d0072321d79a2c74580a4397e3377e8d976e","first_computed_at":"2026-07-05T10:05:09.713409Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:09.713409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ucSDgC5N83c7MeOI9SxInwT/ZXvIz3CAoU4pEJgAGwgZ4Ds0h/PP5bBuTwpETiZq5yHpDEL58F5VkmX+Ew9zBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:09.713903Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.14734","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13c18d7ead332a1233fdc2c6879be6d4f440afb6a2fd79418a1aa7eca93c965d","sha256:9606ac3c0ef3213404cce50e3ac65bdc83a0b591d79b5176834246c9fc1a60d0"],"state_sha256":"911c668398570739c2107f3fe4099a52d6661eb7ea27a35d42bc8f6bb5281a31"}