{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:W6GDWWTBBDAAK2GJXBICBXN6L2","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":"bda74d1fffb4c63c1030d9f38dbb1640d7a335cadcabac6cad812314047928fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T05:09:58Z","title_canon_sha256":"c883268b67e75d7001bee5f5321009c4fa63696364970a1531d6504e30d3628f"},"schema_version":"1.0","source":{"id":"2310.10698","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10698","created_at":"2026-07-05T07:03:32Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10698v2","created_at":"2026-07-05T07:03:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10698","created_at":"2026-07-05T07:03:32Z"},{"alias_kind":"pith_short_12","alias_value":"W6GDWWTBBDAA","created_at":"2026-07-05T07:03:32Z"},{"alias_kind":"pith_short_16","alias_value":"W6GDWWTBBDAAK2GJ","created_at":"2026-07-05T07:03:32Z"},{"alias_kind":"pith_short_8","alias_value":"W6GDWWTB","created_at":"2026-07-05T07:03:32Z"}],"graph_snapshots":[{"event_id":"sha256:bcd6d8f613c00a99ede0876085b263625fc45be4d63a4cde070a1c4d209e983b","target":"graph","created_at":"2026-07-05T07:03:32Z","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/2310.10698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have showcased remarkable prowess in code generation. However, automated code generation is still challenging since it requires a high-level semantic mapping between natural language requirements and codes. Most existing LLMs-based approaches for code generation rely on decoder-only causal language models often treate codes merely as plain text tokens, i.e., feeding the requirements as a prompt input, and outputing code as flat sequence of tokens, potentially missing the rich semantic features inherent in source code. To bridge this gap, this paper proposes the \"Se","authors_text":"Shanshan Li, Xiangke Liao, Yingwei Ma, Yong Guo, Yuanliang Zhang, Yue Yu, Yu Jiang, Yutao Xie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T05:09:58Z","title":"Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10698","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":"sha256:11eda37893ff49ae92b1eb6c616b95647a60b3f549494f8aeda690fdbdb91602","target":"record","created_at":"2026-07-05T07:03:32Z","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":"bda74d1fffb4c63c1030d9f38dbb1640d7a335cadcabac6cad812314047928fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-16T05:09:58Z","title_canon_sha256":"c883268b67e75d7001bee5f5321009c4fa63696364970a1531d6504e30d3628f"},"schema_version":"1.0","source":{"id":"2310.10698","kind":"arxiv","version":2}},"canonical_sha256":"b78c3b5a6108c00568c9b85020ddbe5eb0b323dc71d41ed9200789b289a9b3a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b78c3b5a6108c00568c9b85020ddbe5eb0b323dc71d41ed9200789b289a9b3a3","first_computed_at":"2026-07-05T07:03:32.513535Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:03:32.513535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QoJCeQDjlUfV8pJS+D8UwHhILUR9ktyw8MLaPo6dGIXylZz9q7Sg90FABwhQD97E+K3ZIx6MioaT188yv8u0Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:03:32.513993Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10698","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11eda37893ff49ae92b1eb6c616b95647a60b3f549494f8aeda690fdbdb91602","sha256:bcd6d8f613c00a99ede0876085b263625fc45be4d63a4cde070a1c4d209e983b"],"state_sha256":"24fd0d475e2e97dd30fa22a1bd34d15330e36f704273d104e015bef30191f2c2"}