{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KXLPV2U6PILG4FF5EPEP7EWCSR","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":"5b0b73ef18a6b8824986d87dc864239c48ab69b2c65ee963f9265bad0f87cd31","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-25T01:45:00Z","title_canon_sha256":"83d290406609d133f5e3c1402d89b544f25839f42b79fee87facc8e4c4b52531"},"schema_version":"1.0","source":{"id":"2505.18929","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.18929","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"arxiv_version","alias_value":"2505.18929v1","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18929","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_12","alias_value":"KXLPV2U6PILG","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_16","alias_value":"KXLPV2U6PILG4FF5","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_8","alias_value":"KXLPV2U6","created_at":"2026-07-05T11:09:21Z"}],"graph_snapshots":[{"event_id":"sha256:96f00484cda3b8823a5631fc813e89b967c75fb7b301607a92783600baad80ec","target":"graph","created_at":"2026-07-05T11:09:21Z","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/2505.18929/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advancements of Large language models (LLMs) have provided great opportunities to text-to-SQL tasks to overcome the main challenges to understand complex domain information and complex database structures in business applications. In this paper, we propose a meta-aware learning framework to integrate domain knowledge, database schema, chain-of-thought reasoning processes, and metadata relationships to improve the SQL generation quality. The proposed framework includes four learning strategies: schema-based learning, Chain-of-Thought (CoT) learning, knowledge-enhanced learning, and key info","authors_text":"Wenda Zhang","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-25T01:45:00Z","title":"Meta-aware Learning in text-to-SQL Large Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18929","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":"sha256:337941a8191e0425024c03fc223d46d4e16c5de21e43f77c5224228b7412c33c","target":"record","created_at":"2026-07-05T11:09:21Z","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":"5b0b73ef18a6b8824986d87dc864239c48ab69b2c65ee963f9265bad0f87cd31","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-25T01:45:00Z","title_canon_sha256":"83d290406609d133f5e3c1402d89b544f25839f42b79fee87facc8e4c4b52531"},"schema_version":"1.0","source":{"id":"2505.18929","kind":"arxiv","version":1}},"canonical_sha256":"55d6faea9e7a166e14bd23c8ff92c29448ba70033540989cd9f327bb9a963094","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55d6faea9e7a166e14bd23c8ff92c29448ba70033540989cd9f327bb9a963094","first_computed_at":"2026-07-05T11:09:21.972971Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:21.972971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3RcWzh5VeZjDO+LG31AVNH4Zeobtr1e6ILvxlwx23Pjsq1fj2NonLmnZo41cU4ZjY3V4W5uR784ejKIwnoNiCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:21.973474Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.18929","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:337941a8191e0425024c03fc223d46d4e16c5de21e43f77c5224228b7412c33c","sha256:96f00484cda3b8823a5631fc813e89b967c75fb7b301607a92783600baad80ec"],"state_sha256":"6bf3f4548336677e986a9412bb8de86acabddbf6ae68590a1dd4c6f890ec0c79"}