{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5TPXTKBXGVNVGITANMYTEWQXYX","short_pith_number":"pith:5TPXTKBX","canonical_record":{"source":{"id":"2309.16120","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-09-28T02:58:07Z","cross_cats_sorted":[],"title_canon_sha256":"e0e63050da4c4a6a9ad9eb6cd1fc4e94c6d3697776dfd83827a9992d52b70537","abstract_canon_sha256":"8e097133a83a41f644cf17d6f0e95bd0ce3ea432561551535f68b94416e0b7de"},"schema_version":"1.0"},"canonical_sha256":"ecdf79a837355b5322606b31325a17c5ee1389377740c436059f504964a9f74c","source":{"kind":"arxiv","id":"2309.16120","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.16120","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"2309.16120v3","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16120","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"5TPXTKBXGVNV","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_16","alias_value":"5TPXTKBXGVNVGITA","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_8","alias_value":"5TPXTKBX","created_at":"2026-07-05T09:51:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5TPXTKBXGVNVGITANMYTEWQXYX","target":"record","payload":{"canonical_record":{"source":{"id":"2309.16120","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-09-28T02:58:07Z","cross_cats_sorted":[],"title_canon_sha256":"e0e63050da4c4a6a9ad9eb6cd1fc4e94c6d3697776dfd83827a9992d52b70537","abstract_canon_sha256":"8e097133a83a41f644cf17d6f0e95bd0ce3ea432561551535f68b94416e0b7de"},"schema_version":"1.0"},"canonical_sha256":"ecdf79a837355b5322606b31325a17c5ee1389377740c436059f504964a9f74c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:29.069863Z","signature_b64":"3PzzyxFizaB2f5iDUG/DfwIJEFlAnLGk7x8Jb6eGX+TxGUu15j6PtbWQM5fPh71D44yVFF7D4PYFzw2wuhUJCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ecdf79a837355b5322606b31325a17c5ee1389377740c436059f504964a9f74c","last_reissued_at":"2026-07-05T09:51:29.069458Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:29.069458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.16120","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:51:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xFxAFSW1hSR6b5bX1v732wTl/V9iCsF2EgjJteYmB5vsWOa0FVsNR15tb9S05+SZ7SpLItVksJzHKUn/UcqbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:53:55.228314Z"},"content_sha256":"ae8e6824328d00e5ce64e04e48f41c065dd009e2a32b6551b9ae85af7e3311fa","schema_version":"1.0","event_id":"sha256:ae8e6824328d00e5ce64e04e48f41c065dd009e2a32b6551b9ae85af7e3311fa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5TPXTKBXGVNVGITANMYTEWQXYX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fixing Large Language Models' Specification Misunderstanding for Better Code Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Junjie Chen, Xiangyu Zhang, Zhao Tian","submitted_at":"2023-09-28T02:58:07Z","abstract_excerpt":"Code generation is to automatically generate source code conforming to a given programming specification, which has received extensive attention especially with the development of large language models (LLMs). Due to the inherent difficulty of code generation, the code generated by LLMs may not be aligned with the specification. Although thought-eliciting prompting techniques have been proposed to enhance the code generation performance of LLMs, producing correct understanding for complicated programming problems remains challenging, resulting in unsatisfactory performance. Also, some feedback"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16120","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2309.16120/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:51:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZPalB7dzqOyIncuquHln5x+Kewp0Z0DBFuV1F+YODk3APCx3Qp9IK/3ViFAZRmUR/S+zO0qfHuIJvzh6rh7CCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:53:55.228743Z"},"content_sha256":"1bacad7e6d5d6bc21116c8e758e058c90f85cc34df9f5466ce0d1e8598d24d1e","schema_version":"1.0","event_id":"sha256:1bacad7e6d5d6bc21116c8e758e058c90f85cc34df9f5466ce0d1e8598d24d1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5TPXTKBXGVNVGITANMYTEWQXYX/bundle.json","state_url":"https://pith.science/pith/5TPXTKBXGVNVGITANMYTEWQXYX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5TPXTKBXGVNVGITANMYTEWQXYX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T10:53:55Z","links":{"resolver":"https://pith.science/pith/5TPXTKBXGVNVGITANMYTEWQXYX","bundle":"https://pith.science/pith/5TPXTKBXGVNVGITANMYTEWQXYX/bundle.json","state":"https://pith.science/pith/5TPXTKBXGVNVGITANMYTEWQXYX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5TPXTKBXGVNVGITANMYTEWQXYX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5TPXTKBXGVNVGITANMYTEWQXYX","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":"8e097133a83a41f644cf17d6f0e95bd0ce3ea432561551535f68b94416e0b7de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-09-28T02:58:07Z","title_canon_sha256":"e0e63050da4c4a6a9ad9eb6cd1fc4e94c6d3697776dfd83827a9992d52b70537"},"schema_version":"1.0","source":{"id":"2309.16120","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.16120","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"2309.16120v3","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16120","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"5TPXTKBXGVNV","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_16","alias_value":"5TPXTKBXGVNVGITA","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_8","alias_value":"5TPXTKBX","created_at":"2026-07-05T09:51:29Z"}],"graph_snapshots":[{"event_id":"sha256:1bacad7e6d5d6bc21116c8e758e058c90f85cc34df9f5466ce0d1e8598d24d1e","target":"graph","created_at":"2026-07-05T09:51:29Z","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/2309.16120/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code generation is to automatically generate source code conforming to a given programming specification, which has received extensive attention especially with the development of large language models (LLMs). Due to the inherent difficulty of code generation, the code generated by LLMs may not be aligned with the specification. Although thought-eliciting prompting techniques have been proposed to enhance the code generation performance of LLMs, producing correct understanding for complicated programming problems remains challenging, resulting in unsatisfactory performance. Also, some feedback","authors_text":"Junjie Chen, Xiangyu Zhang, Zhao Tian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-09-28T02:58:07Z","title":"Fixing Large Language Models' Specification Misunderstanding for Better Code Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16120","kind":"arxiv","version":3},"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:ae8e6824328d00e5ce64e04e48f41c065dd009e2a32b6551b9ae85af7e3311fa","target":"record","created_at":"2026-07-05T09:51:29Z","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":"8e097133a83a41f644cf17d6f0e95bd0ce3ea432561551535f68b94416e0b7de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2023-09-28T02:58:07Z","title_canon_sha256":"e0e63050da4c4a6a9ad9eb6cd1fc4e94c6d3697776dfd83827a9992d52b70537"},"schema_version":"1.0","source":{"id":"2309.16120","kind":"arxiv","version":3}},"canonical_sha256":"ecdf79a837355b5322606b31325a17c5ee1389377740c436059f504964a9f74c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ecdf79a837355b5322606b31325a17c5ee1389377740c436059f504964a9f74c","first_computed_at":"2026-07-05T09:51:29.069458Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:29.069458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3PzzyxFizaB2f5iDUG/DfwIJEFlAnLGk7x8Jb6eGX+TxGUu15j6PtbWQM5fPh71D44yVFF7D4PYFzw2wuhUJCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:29.069863Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.16120","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae8e6824328d00e5ce64e04e48f41c065dd009e2a32b6551b9ae85af7e3311fa","sha256:1bacad7e6d5d6bc21116c8e758e058c90f85cc34df9f5466ce0d1e8598d24d1e"],"state_sha256":"40d74dbd9563c74881490af8c8293ba6290831b2bea8c968776aae2e368953d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"POS2/aleGoRkZpap1P9bo8CBNxw+tkJrJQX4QLYmudu9dALarmcYV75UoFbbFSDv//y2gUNnoH30WdJZmjKBDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:53:55.231337Z","bundle_sha256":"dbce662668b7cad34fd0b46a07672fcaade7277e66b7342f3d1c086ada818dd5"}}