{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DPG7Z3MS564G6FNKHMEBQDATN5","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":"bc1617b74ec605f86cd603fca84936d888cca1b0413b13f49b8ed520944682c3","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-19T00:48:30Z","title_canon_sha256":"b3f9e1a823bb562068883f2cb79140ce0b767620e22433ff1bb41aa62e503a8b"},"schema_version":"1.0","source":{"id":"2404.12560","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.12560","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"arxiv_version","alias_value":"2404.12560v1","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.12560","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"pith_short_12","alias_value":"DPG7Z3MS564G","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"pith_short_16","alias_value":"DPG7Z3MS564G6FNK","created_at":"2026-07-05T08:09:55Z"},{"alias_kind":"pith_short_8","alias_value":"DPG7Z3MS","created_at":"2026-07-05T08:09:55Z"}],"graph_snapshots":[{"event_id":"sha256:b01188d38e0321f5dd6bf7a6d7774b3cf669ee1845e2649f60838be879cd9943","target":"graph","created_at":"2026-07-05T08:09:55Z","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/2404.12560/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The current state-of-the-art (SOTA) for automated text-to-SQL still falls well short of expert human performance as measured by execution accuracy (EX) on the BIRD-SQL benchmark. The most accurate methods are also slow and expensive. To advance the SOTA for text-to-SQL while reducing cost and improving speed, we explore the combination of low-cost fine tuning, novel methods for diverse retrieval-augmented generation (RAG) and new input and output formats that help large language models (LLMs) achieve higher EX. We introduce two new methods, Dubo-SQL v1 and v2. Dubo-SQL v1 sets a new record for","authors_text":"Andrew J. Duberstein, Dayton G. Thorpe, Ian A. Kinsey","cross_cats":["cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-19T00:48:30Z","title":"Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.12560","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:a01d2b0d51fdbff0d3f0f5c5bb164b4664c1befba5239fd01bbb4860216f55c5","target":"record","created_at":"2026-07-05T08:09:55Z","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":"bc1617b74ec605f86cd603fca84936d888cca1b0413b13f49b8ed520944682c3","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-19T00:48:30Z","title_canon_sha256":"b3f9e1a823bb562068883f2cb79140ce0b767620e22433ff1bb41aa62e503a8b"},"schema_version":"1.0","source":{"id":"2404.12560","kind":"arxiv","version":1}},"canonical_sha256":"1bcdfced92efb86f15aa3b08180c136f63a5267a5d2b3dcd8f22ac8062acf04f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bcdfced92efb86f15aa3b08180c136f63a5267a5d2b3dcd8f22ac8062acf04f","first_computed_at":"2026-07-05T08:09:55.293828Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:09:55.293828Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vorbRmy0yNOaProWWZJAaML25LGwsyIZmTnS5tWsF131KTcRQKzAYW+oHeww71G3S2oFNtLz+ix1awTl0V0/Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T08:09:55.294362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.12560","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a01d2b0d51fdbff0d3f0f5c5bb164b4664c1befba5239fd01bbb4860216f55c5","sha256:b01188d38e0321f5dd6bf7a6d7774b3cf669ee1845e2649f60838be879cd9943"],"state_sha256":"d4019897465130a707bd4d0a2eef9d01de14bd29742bd5935d7e54478a3235a7"}