{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2SF6AKIZT6B4LVMME6NDADUV3Q","short_pith_number":"pith:2SF6AKIZ","canonical_record":{"source":{"id":"2409.04475","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-09-05T13:45:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"60edf421f399c2d9028b404491480f42975889cdd8ab354e46a25b4f863e41c5","abstract_canon_sha256":"8dfc3bcbbb6bb60e9582decbe6f9473496f79c4300efac251e3062eb1a00dcd8"},"schema_version":"1.0"},"canonical_sha256":"d48be029199f83c5d58c279a300e95dc2fd570215e406e2da6f8e71dd82c95dd","source":{"kind":"arxiv","id":"2409.04475","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.04475","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"arxiv_version","alias_value":"2409.04475v2","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.04475","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"pith_short_12","alias_value":"2SF6AKIZT6B4","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"pith_short_16","alias_value":"2SF6AKIZT6B4LVMM","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"pith_short_8","alias_value":"2SF6AKIZ","created_at":"2026-07-05T09:45:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2SF6AKIZT6B4LVMME6NDADUV3Q","target":"record","payload":{"canonical_record":{"source":{"id":"2409.04475","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-09-05T13:45:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"60edf421f399c2d9028b404491480f42975889cdd8ab354e46a25b4f863e41c5","abstract_canon_sha256":"8dfc3bcbbb6bb60e9582decbe6f9473496f79c4300efac251e3062eb1a00dcd8"},"schema_version":"1.0"},"canonical_sha256":"d48be029199f83c5d58c279a300e95dc2fd570215e406e2da6f8e71dd82c95dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:45:14.278281Z","signature_b64":"EdonuT/lav56AOwfrEQo5xIStJmtE3QKwdeuTplxAK9QaLd21Ii3Qym/66qqX09YZIV9V5Z4FO5AiAKQUxSIBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d48be029199f83c5d58c279a300e95dc2fd570215e406e2da6f8e71dd82c95dd","last_reissued_at":"2026-07-05T09:45:14.277818Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:45:14.277818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.04475","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:45:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ell2fkcjh0hJ1Ij5XjA9tAnnCjADkEf79cUIJBGMkDWLLDJtSZndyLYen57cTp5RC7uOs6ur+MAZff2m9ZsiAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:54:45.304280Z"},"content_sha256":"95604a8e2a6be2e568773100b6d967a1c98daf7c0ac1bb07dd86dbc0195b01f5","schema_version":"1.0","event_id":"sha256:95604a8e2a6be2e568773100b6d967a1c98daf7c0ac1bb07dd86dbc0195b01f5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2SF6AKIZT6B4LVMME6NDADUV3Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.DB","authors_text":"Bo Li, Chen Lin, Guoliang Li, Jinsong Su, Shifu Li, Xuanhe Zhou, Yihang Zheng, Yi Luo, Zhenghao Lin","submitted_at":"2024-09-05T13:45:42Z","abstract_excerpt":"The development of Large Language Models (LLMs) has revolutionized QA across various industries, including the database domain. However, there is still a lack of a comprehensive benchmark to evaluate the capabilities of different LLMs and their modular components in database QA. To this end, we introduce DQABench, the first comprehensive database QA benchmark for LLMs. DQABench features an innovative LLM-based method to automate the generation, cleaning, and rewriting of evaluation dataset, resulting in over 200,000 QA pairs in English and Chinese, separately. These QA pairs cover a wide range"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.04475","kind":"arxiv","version":2},"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/2409.04475/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":"2026-07-05T09:45:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D+br1SgBh/vlePJcnZ1Or03/9nALOTpbxy1K0gVU3RfB5Q/2p2ugG6iIGEUENCB4JVnehUb6vLswAQB2x5YoCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:54:45.305000Z"},"content_sha256":"f1090b85ef4bafc5cf3be1a2338b503462bd3690a3d14f5ed114f00fd4580072","schema_version":"1.0","event_id":"sha256:f1090b85ef4bafc5cf3be1a2338b503462bd3690a3d14f5ed114f00fd4580072"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2SF6AKIZT6B4LVMME6NDADUV3Q/bundle.json","state_url":"https://pith.science/pith/2SF6AKIZT6B4LVMME6NDADUV3Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2SF6AKIZT6B4LVMME6NDADUV3Q/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":"2026-08-11T06:54:45Z","links":{"resolver":"https://pith.science/pith/2SF6AKIZT6B4LVMME6NDADUV3Q","bundle":"https://pith.science/pith/2SF6AKIZT6B4LVMME6NDADUV3Q/bundle.json","state":"https://pith.science/pith/2SF6AKIZT6B4LVMME6NDADUV3Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2SF6AKIZT6B4LVMME6NDADUV3Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2SF6AKIZT6B4LVMME6NDADUV3Q","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":"8dfc3bcbbb6bb60e9582decbe6f9473496f79c4300efac251e3062eb1a00dcd8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-09-05T13:45:42Z","title_canon_sha256":"60edf421f399c2d9028b404491480f42975889cdd8ab354e46a25b4f863e41c5"},"schema_version":"1.0","source":{"id":"2409.04475","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.04475","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"arxiv_version","alias_value":"2409.04475v2","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.04475","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"pith_short_12","alias_value":"2SF6AKIZT6B4","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"pith_short_16","alias_value":"2SF6AKIZT6B4LVMM","created_at":"2026-07-05T09:45:14Z"},{"alias_kind":"pith_short_8","alias_value":"2SF6AKIZ","created_at":"2026-07-05T09:45:14Z"}],"graph_snapshots":[{"event_id":"sha256:f1090b85ef4bafc5cf3be1a2338b503462bd3690a3d14f5ed114f00fd4580072","target":"graph","created_at":"2026-07-05T09:45:14Z","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/2409.04475/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The development of Large Language Models (LLMs) has revolutionized QA across various industries, including the database domain. However, there is still a lack of a comprehensive benchmark to evaluate the capabilities of different LLMs and their modular components in database QA. To this end, we introduce DQABench, the first comprehensive database QA benchmark for LLMs. DQABench features an innovative LLM-based method to automate the generation, cleaning, and rewriting of evaluation dataset, resulting in over 200,000 QA pairs in English and Chinese, separately. These QA pairs cover a wide range","authors_text":"Bo Li, Chen Lin, Guoliang Li, Jinsong Su, Shifu Li, Xuanhe Zhou, Yihang Zheng, Yi Luo, Zhenghao Lin","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-09-05T13:45:42Z","title":"Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.04475","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":"sha256:95604a8e2a6be2e568773100b6d967a1c98daf7c0ac1bb07dd86dbc0195b01f5","target":"record","created_at":"2026-07-05T09:45:14Z","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":"8dfc3bcbbb6bb60e9582decbe6f9473496f79c4300efac251e3062eb1a00dcd8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2024-09-05T13:45:42Z","title_canon_sha256":"60edf421f399c2d9028b404491480f42975889cdd8ab354e46a25b4f863e41c5"},"schema_version":"1.0","source":{"id":"2409.04475","kind":"arxiv","version":2}},"canonical_sha256":"d48be029199f83c5d58c279a300e95dc2fd570215e406e2da6f8e71dd82c95dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d48be029199f83c5d58c279a300e95dc2fd570215e406e2da6f8e71dd82c95dd","first_computed_at":"2026-07-05T09:45:14.277818Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:45:14.277818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EdonuT/lav56AOwfrEQo5xIStJmtE3QKwdeuTplxAK9QaLd21Ii3Qym/66qqX09YZIV9V5Z4FO5AiAKQUxSIBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:45:14.278281Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.04475","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:95604a8e2a6be2e568773100b6d967a1c98daf7c0ac1bb07dd86dbc0195b01f5","sha256:f1090b85ef4bafc5cf3be1a2338b503462bd3690a3d14f5ed114f00fd4580072"],"state_sha256":"dc7c4b4655be9c6822b418c9f1fca1d5df1b45260c706fd3ea514bada4d6a710"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tisCDTTTC7t5zmiFYjQOZgMJc/+2OQxl++GLww6fASyCrv+VcjZRxVetsnjIM2rM0Jfd2Mspb0qudkgjMX6iBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:54:45.310026Z","bundle_sha256":"db319eadad9db89a05829decf122971a5e1e1ecf7a79411b76c4ba1e07a5a9b7"}}