{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:S4KDFOFR6AMSBK53HI4RV4N3TN","short_pith_number":"pith:S4KDFOFR","canonical_record":{"source":{"id":"2311.00272","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2023-11-01T03:46:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bebb938219e3733b9d22ade4f6ba7b311e8e0d21995bd5dc1d30f9bfba5e68c2","abstract_canon_sha256":"97964a649395fb31ad8ffbb32bc46256f4b7b003b9ae86146bbf0fdbe590c9d2"},"schema_version":"1.0"},"canonical_sha256":"971432b8b1f01920abbb3a391af1bb9b77cd73d245ae04d26a26bdb402198252","source":{"kind":"arxiv","id":"2311.00272","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.00272","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"arxiv_version","alias_value":"2311.00272v1","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.00272","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"pith_short_12","alias_value":"S4KDFOFR6AMS","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"pith_short_16","alias_value":"S4KDFOFR6AMSBK53","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"pith_short_8","alias_value":"S4KDFOFR","created_at":"2026-07-05T07:07:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:S4KDFOFR6AMSBK53HI4RV4N3TN","target":"record","payload":{"canonical_record":{"source":{"id":"2311.00272","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2023-11-01T03:46:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bebb938219e3733b9d22ade4f6ba7b311e8e0d21995bd5dc1d30f9bfba5e68c2","abstract_canon_sha256":"97964a649395fb31ad8ffbb32bc46256f4b7b003b9ae86146bbf0fdbe590c9d2"},"schema_version":"1.0"},"canonical_sha256":"971432b8b1f01920abbb3a391af1bb9b77cd73d245ae04d26a26bdb402198252","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:07:44.818153Z","signature_b64":"mjaSg4OTP+uBLScYOTCbEr/WrYC0xSCoGGT0lyqMwTK0YxgumkzNtB5zxTCSgfvrBnk6fbL/8pnZ3tp2RY6lAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"971432b8b1f01920abbb3a391af1bb9b77cd73d245ae04d26a26bdb402198252","last_reissued_at":"2026-07-05T07:07:44.817629Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:07:44.817629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.00272","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:07:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xy+h5aM3S+3er4ljXt37bopFittp92LC9JfNW/MZ82TnjRnZcGUzpxSIce29E6srYWpchh8RKu/hPbsdnibRDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:12:15.663991Z"},"content_sha256":"06089cf6fc962b96fe1f10feb5e5431bea18cdabc4690034b2a5819da8ba2614","schema_version":"1.0","event_id":"sha256:06089cf6fc962b96fe1f10feb5e5431bea18cdabc4690034b2a5819da8ba2614"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:S4KDFOFR6AMSBK53HI4RV4N3TN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Ge Li, Jia Li, Zejun Wang, Zhi Jin","submitted_at":"2023-11-01T03:46:36Z","abstract_excerpt":"Large language models have shown good performances in generating code to meet human requirements. However, human requirements expressed in natural languages can be vague, incomplete, and ambiguous, leading large language models to misunderstand human requirements and make mistakes. Worse, it is difficult for a human user to refine the requirement. To help human users refine their requirements and improve large language models' code generation performances, we propose ChatCoder: a method to refine the requirements via chatting with large language models. We design a chat scheme in which the lar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.00272","kind":"arxiv","version":1},"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/2311.00272/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":"2026-07-05T07:07:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tjjmM3KG+q+wK1/EWQLIFce1Ssx77QFcT2uQlsigFFiTQsQKfjR/WkUy4FVTfVcv/Rf1WMNjZ4Yi6Tf+wTQBCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:12:15.664508Z"},"content_sha256":"e53a11f2716017504fd78101efbcd69bb00c3a6cd2d38796d39eb306e471cf5f","schema_version":"1.0","event_id":"sha256:e53a11f2716017504fd78101efbcd69bb00c3a6cd2d38796d39eb306e471cf5f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S4KDFOFR6AMSBK53HI4RV4N3TN/bundle.json","state_url":"https://pith.science/pith/S4KDFOFR6AMSBK53HI4RV4N3TN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S4KDFOFR6AMSBK53HI4RV4N3TN/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":"2026-08-03T17:12:15Z","links":{"resolver":"https://pith.science/pith/S4KDFOFR6AMSBK53HI4RV4N3TN","bundle":"https://pith.science/pith/S4KDFOFR6AMSBK53HI4RV4N3TN/bundle.json","state":"https://pith.science/pith/S4KDFOFR6AMSBK53HI4RV4N3TN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S4KDFOFR6AMSBK53HI4RV4N3TN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:S4KDFOFR6AMSBK53HI4RV4N3TN","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":"97964a649395fb31ad8ffbb32bc46256f4b7b003b9ae86146bbf0fdbe590c9d2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2023-11-01T03:46:36Z","title_canon_sha256":"bebb938219e3733b9d22ade4f6ba7b311e8e0d21995bd5dc1d30f9bfba5e68c2"},"schema_version":"1.0","source":{"id":"2311.00272","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.00272","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"arxiv_version","alias_value":"2311.00272v1","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.00272","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"pith_short_12","alias_value":"S4KDFOFR6AMS","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"pith_short_16","alias_value":"S4KDFOFR6AMSBK53","created_at":"2026-07-05T07:07:44Z"},{"alias_kind":"pith_short_8","alias_value":"S4KDFOFR","created_at":"2026-07-05T07:07:44Z"}],"graph_snapshots":[{"event_id":"sha256:e53a11f2716017504fd78101efbcd69bb00c3a6cd2d38796d39eb306e471cf5f","target":"graph","created_at":"2026-07-05T07:07:44Z","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/2311.00272/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models have shown good performances in generating code to meet human requirements. However, human requirements expressed in natural languages can be vague, incomplete, and ambiguous, leading large language models to misunderstand human requirements and make mistakes. Worse, it is difficult for a human user to refine the requirement. To help human users refine their requirements and improve large language models' code generation performances, we propose ChatCoder: a method to refine the requirements via chatting with large language models. We design a chat scheme in which the lar","authors_text":"Ge Li, Jia Li, Zejun Wang, Zhi Jin","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2023-11-01T03:46:36Z","title":"ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.00272","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":"sha256:06089cf6fc962b96fe1f10feb5e5431bea18cdabc4690034b2a5819da8ba2614","target":"record","created_at":"2026-07-05T07:07:44Z","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":"97964a649395fb31ad8ffbb32bc46256f4b7b003b9ae86146bbf0fdbe590c9d2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SE","submitted_at":"2023-11-01T03:46:36Z","title_canon_sha256":"bebb938219e3733b9d22ade4f6ba7b311e8e0d21995bd5dc1d30f9bfba5e68c2"},"schema_version":"1.0","source":{"id":"2311.00272","kind":"arxiv","version":1}},"canonical_sha256":"971432b8b1f01920abbb3a391af1bb9b77cd73d245ae04d26a26bdb402198252","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"971432b8b1f01920abbb3a391af1bb9b77cd73d245ae04d26a26bdb402198252","first_computed_at":"2026-07-05T07:07:44.817629Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:07:44.817629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mjaSg4OTP+uBLScYOTCbEr/WrYC0xSCoGGT0lyqMwTK0YxgumkzNtB5zxTCSgfvrBnk6fbL/8pnZ3tp2RY6lAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:07:44.818153Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.00272","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06089cf6fc962b96fe1f10feb5e5431bea18cdabc4690034b2a5819da8ba2614","sha256:e53a11f2716017504fd78101efbcd69bb00c3a6cd2d38796d39eb306e471cf5f"],"state_sha256":"59542d1bb3958d40fb1f55d6a7a80f0b9451ec559889e0fe297bf956936b7baf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9dAJr/Uouc2BiFPhWyBk4IvlbIYGiFCEGQ5a5P0cwqdCPRr/vRzOZNRW8pTsvWPUpFkaU/jGe4PG1Nf6q2hHAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:12:15.670265Z","bundle_sha256":"b3f0e551eec9261ac12b87a142d171f024cf735fdddc37c7aab7243b5e2112b3"}}