{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:T3D2FRVOKA7LDHD2BNGWTVGZPV","short_pith_number":"pith:T3D2FRVO","canonical_record":{"source":{"id":"2312.11242","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T14:40:20Z","cross_cats_sorted":[],"title_canon_sha256":"1af782690631470e3563da8ab038123baae8e353448c113de907ae432419f0e1","abstract_canon_sha256":"828a66f9473621d81427f57364b49732abb99be70da320f73548f0e6f1fcb556"},"schema_version":"1.0"},"canonical_sha256":"9ec7a2c6ae503eb19c7a0b4d69d4d97d473efd81174ff61e66521ac2373298ca","source":{"kind":"arxiv","id":"2312.11242","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11242","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11242v6","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11242","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"pith_short_12","alias_value":"T3D2FRVOKA7L","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"pith_short_16","alias_value":"T3D2FRVOKA7LDHD2","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"pith_short_8","alias_value":"T3D2FRVO","created_at":"2026-07-05T10:33:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:T3D2FRVOKA7LDHD2BNGWTVGZPV","target":"record","payload":{"canonical_record":{"source":{"id":"2312.11242","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T14:40:20Z","cross_cats_sorted":[],"title_canon_sha256":"1af782690631470e3563da8ab038123baae8e353448c113de907ae432419f0e1","abstract_canon_sha256":"828a66f9473621d81427f57364b49732abb99be70da320f73548f0e6f1fcb556"},"schema_version":"1.0"},"canonical_sha256":"9ec7a2c6ae503eb19c7a0b4d69d4d97d473efd81174ff61e66521ac2373298ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:33:02.619980Z","signature_b64":"PmbAcwNywYH0Gifz1Pa0/zzlgo8oIGoP/5ZiT95bp1kK2I9EemzDic0wjnr7UvEQvwQ4qFvu75wnrxMcXTqMAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ec7a2c6ae503eb19c7a0b4d69d4d97d473efd81174ff61e66521ac2373298ca","last_reissued_at":"2026-07-05T10:33:02.619209Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:33:02.619209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.11242","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:33:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qMHfq2Puyo6g5cBpTiGrErEsyxRw6XDop2MuXI/UxzAbeJBiZUneTD6Qt2EjUhg40oHk1MNPXXRTANuVyJOKAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:29:44.596742Z"},"content_sha256":"ac9a0a704a3d6687ab6c75b9d324bb2cacd27ed06ca0d5e7ec9ee1f8e646d086","schema_version":"1.0","event_id":"sha256:ac9a0a704a3d6687ab6c75b9d324bb2cacd27ed06ca0d5e7ec9ee1f8e646d086"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:T3D2FRVOKA7LDHD2BNGWTVGZPV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bing Wang, Changyu Ren, Di Yin, Jian Yang, Jiaqi Bai, Linzheng Chai, Qian-Wen Zhang, Xing Sun, Xinnian Liang, Zhao Yan, Zhoujun Li","submitted_at":"2023-12-18T14:40:20Z","abstract_excerpt":"Recent LLM-based Text-to-SQL methods usually suffer from significant performance degradation on \"huge\" databases and complex user questions that require multi-step reasoning. Moreover, most existing methods neglect the crucial significance of LLMs utilizing external tools and model collaboration. To address these challenges, we introduce MAC-SQL, a novel LLM-based multi-agent collaborative framework. Our framework comprises a core decomposer agent for Text-to-SQL generation with few-shot chain-of-thought reasoning, accompanied by two auxiliary agents that utilize external tools or models to ac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11242","kind":"arxiv","version":6},"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/2312.11242/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":"2026-07-05T10:33:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eUlFs746LMLCq4bEcC7P/99mjjoWdWGwKWHlSLTSIE1k7m3a7mfI1xmgWtSWX/chJobLXs9flux5p/6YeNnPAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:29:44.597129Z"},"content_sha256":"94f23cbfe75b21d24b347498e42bb022b548a8b97256a6a198a64b8b8e20c18d","schema_version":"1.0","event_id":"sha256:94f23cbfe75b21d24b347498e42bb022b548a8b97256a6a198a64b8b8e20c18d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T3D2FRVOKA7LDHD2BNGWTVGZPV/bundle.json","state_url":"https://pith.science/pith/T3D2FRVOKA7LDHD2BNGWTVGZPV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T3D2FRVOKA7LDHD2BNGWTVGZPV/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":"2026-07-07T05:29:44Z","links":{"resolver":"https://pith.science/pith/T3D2FRVOKA7LDHD2BNGWTVGZPV","bundle":"https://pith.science/pith/T3D2FRVOKA7LDHD2BNGWTVGZPV/bundle.json","state":"https://pith.science/pith/T3D2FRVOKA7LDHD2BNGWTVGZPV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T3D2FRVOKA7LDHD2BNGWTVGZPV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:T3D2FRVOKA7LDHD2BNGWTVGZPV","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":"828a66f9473621d81427f57364b49732abb99be70da320f73548f0e6f1fcb556","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T14:40:20Z","title_canon_sha256":"1af782690631470e3563da8ab038123baae8e353448c113de907ae432419f0e1"},"schema_version":"1.0","source":{"id":"2312.11242","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11242","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11242v6","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11242","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"pith_short_12","alias_value":"T3D2FRVOKA7L","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"pith_short_16","alias_value":"T3D2FRVOKA7LDHD2","created_at":"2026-07-05T10:33:02Z"},{"alias_kind":"pith_short_8","alias_value":"T3D2FRVO","created_at":"2026-07-05T10:33:02Z"}],"graph_snapshots":[{"event_id":"sha256:94f23cbfe75b21d24b347498e42bb022b548a8b97256a6a198a64b8b8e20c18d","target":"graph","created_at":"2026-07-05T10:33:02Z","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/2312.11242/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent LLM-based Text-to-SQL methods usually suffer from significant performance degradation on \"huge\" databases and complex user questions that require multi-step reasoning. Moreover, most existing methods neglect the crucial significance of LLMs utilizing external tools and model collaboration. To address these challenges, we introduce MAC-SQL, a novel LLM-based multi-agent collaborative framework. Our framework comprises a core decomposer agent for Text-to-SQL generation with few-shot chain-of-thought reasoning, accompanied by two auxiliary agents that utilize external tools or models to ac","authors_text":"Bing Wang, Changyu Ren, Di Yin, Jian Yang, Jiaqi Bai, Linzheng Chai, Qian-Wen Zhang, Xing Sun, Xinnian Liang, Zhao Yan, Zhoujun Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T14:40:20Z","title":"MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11242","kind":"arxiv","version":6},"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:ac9a0a704a3d6687ab6c75b9d324bb2cacd27ed06ca0d5e7ec9ee1f8e646d086","target":"record","created_at":"2026-07-05T10:33:02Z","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":"828a66f9473621d81427f57364b49732abb99be70da320f73548f0e6f1fcb556","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T14:40:20Z","title_canon_sha256":"1af782690631470e3563da8ab038123baae8e353448c113de907ae432419f0e1"},"schema_version":"1.0","source":{"id":"2312.11242","kind":"arxiv","version":6}},"canonical_sha256":"9ec7a2c6ae503eb19c7a0b4d69d4d97d473efd81174ff61e66521ac2373298ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ec7a2c6ae503eb19c7a0b4d69d4d97d473efd81174ff61e66521ac2373298ca","first_computed_at":"2026-07-05T10:33:02.619209Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:33:02.619209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PmbAcwNywYH0Gifz1Pa0/zzlgo8oIGoP/5ZiT95bp1kK2I9EemzDic0wjnr7UvEQvwQ4qFvu75wnrxMcXTqMAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:33:02.619980Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11242","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac9a0a704a3d6687ab6c75b9d324bb2cacd27ed06ca0d5e7ec9ee1f8e646d086","sha256:94f23cbfe75b21d24b347498e42bb022b548a8b97256a6a198a64b8b8e20c18d"],"state_sha256":"62d4b9f47618166d516212fefe02f8b89f9f4616d79d16944819174ee79a86d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"12TOs8mKt75oUpFKSGs+CazHi7TCLYb22d0+RgPpSD9FMkMeDTaOH8nhMwPQOtjiQFSSfIeIbhOBlgpPqfDfDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:29:44.599293Z","bundle_sha256":"8f9bf9fcab95ddf2fe93f7c90443d488c3b6ec40b80071a74a9c10ef1d7eee23"}}