{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EQQJICZ7XOUDGV7TG63W4KXRD7","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":"9ef8c5808262ed62fd4e33211af8eec04a1cd75d83a8d8eeadaedaa354a26c78","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-03T06:59:44Z","title_canon_sha256":"ca9c54cfec0d1cc74249ec1c544851946155b676d833f4e2186b6380327a5228"},"schema_version":"1.0","source":{"id":"2504.02327","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.02327","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"arxiv_version","alias_value":"2504.02327v2","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.02327","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_12","alias_value":"EQQJICZ7XOUD","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_16","alias_value":"EQQJICZ7XOUDGV7T","created_at":"2026-07-03T01:17:11Z"},{"alias_kind":"pith_short_8","alias_value":"EQQJICZ7","created_at":"2026-07-03T01:17:11Z"}],"graph_snapshots":[{"event_id":"sha256:2e3768d70b07d91856080b8c9ec0e9261d64189e5796b214133259b521a7fcb5","target":"graph","created_at":"2026-07-03T01:17:11Z","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/2504.02327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Natural Language to SQL (NL2SQL) aims to translate natural language queries into executable SQL statements, offering non-expert users intuitive access to databases. While recent approaches leveraging large-scale private LLMs such as GPT-4 have achieved state-of-the-art results, they face two critical challenges: the lack of openness and reproducibility, and the prohibitive computational cost of test-time scaling. To address these issues, we explore improving the model-level performance of small-scale public LLMs in NL2SQL under resource-constrained settings. Our exploratory experiments reveal ","authors_text":"Junfeng Zhao, Rihong Qiu, Tianyu Jia, Weibin Liao, Xin Gao, Xinyu Ma, Yang Lin, Yasha Wang, Yifan Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-03T06:59:44Z","title":"LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.02327","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:cdc1d67e61e065ed441c5f1fe6a41e381d8fde556678a344285882d3ae44b401","target":"record","created_at":"2026-07-03T01:17:11Z","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":"9ef8c5808262ed62fd4e33211af8eec04a1cd75d83a8d8eeadaedaa354a26c78","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-03T06:59:44Z","title_canon_sha256":"ca9c54cfec0d1cc74249ec1c544851946155b676d833f4e2186b6380327a5228"},"schema_version":"1.0","source":{"id":"2504.02327","kind":"arxiv","version":2}},"canonical_sha256":"2420940b3fbba83357f337b76e2af11fd5db5129a504afbac7997776387141ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2420940b3fbba83357f337b76e2af11fd5db5129a504afbac7997776387141ce","first_computed_at":"2026-07-03T01:17:11.199591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:11.199591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lxtibJRoHw3qmnqAiWKtjr3MLW2S7bSyHdHXe9NyOyZFcTNmCd/2e35wX9mi/Kc4RhgaL0YZkaJteK2sk+C6Dw==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:11.199987Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.02327","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cdc1d67e61e065ed441c5f1fe6a41e381d8fde556678a344285882d3ae44b401","sha256:2e3768d70b07d91856080b8c9ec0e9261d64189e5796b214133259b521a7fcb5"],"state_sha256":"0a98d2a98db294efcaaff7aa417aa6aa6771c6ea2ddc2e7f61671e1ce0b83c7c"}