{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7LPFWBJBYYEMHAK5S2WSU2ULC7","short_pith_number":"pith:7LPFWBJB","canonical_record":{"source":{"id":"2411.08599","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-13T13:30:21Z","cross_cats_sorted":["cs.CL","cs.DB","cs.LG"],"title_canon_sha256":"d29a6faa5181d42ef6d10168895282803629249208aeb692637ef3c52d659911","abstract_canon_sha256":"50d662e8347f411c906bfce0d797c49b08ce786b87af1a7fc87f4014d7501006"},"schema_version":"1.0"},"canonical_sha256":"fade5b0521c608c3815d96ad2a6a8b17e84f3bb47842e702e3cd79734f615083","source":{"kind":"arxiv","id":"2411.08599","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08599","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08599v3","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08599","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"pith_short_12","alias_value":"7LPFWBJBYYEM","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"pith_short_16","alias_value":"7LPFWBJBYYEMHAK5","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"pith_short_8","alias_value":"7LPFWBJB","created_at":"2026-07-05T10:12:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7LPFWBJBYYEMHAK5S2WSU2ULC7","target":"record","payload":{"canonical_record":{"source":{"id":"2411.08599","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-13T13:30:21Z","cross_cats_sorted":["cs.CL","cs.DB","cs.LG"],"title_canon_sha256":"d29a6faa5181d42ef6d10168895282803629249208aeb692637ef3c52d659911","abstract_canon_sha256":"50d662e8347f411c906bfce0d797c49b08ce786b87af1a7fc87f4014d7501006"},"schema_version":"1.0"},"canonical_sha256":"fade5b0521c608c3815d96ad2a6a8b17e84f3bb47842e702e3cd79734f615083","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:02.209152Z","signature_b64":"2RswETnBrtv2Y9sCXELpE/FqI+YdHx72aVBHx12vyvD3U0XFwWIR4DrwQdxbfH8wta8Vwp572ZJgeZz8ji3vCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fade5b0521c608c3815d96ad2a6a8b17e84f3bb47842e702e3cd79734f615083","last_reissued_at":"2026-07-05T10:12:02.208636Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:02.208636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.08599","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:12:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WBHOgUTYnKmyS6zntC0L9LNXZQEHRYLkzNrWvYhsxisc9R06SEwHQ46uGdq+kxPINX4J/azjrNhpPvDQQ8A/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T15:01:55.812015Z"},"content_sha256":"e6b4d8a5046d8086dd7c832f936a486135d9259fffc37054d7dd681629ae954b","schema_version":"1.0","event_id":"sha256:e6b4d8a5046d8086dd7c832f936a486135d9259fffc37054d7dd681629ae954b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7LPFWBJBYYEMHAK5S2WSU2ULC7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.DB","cs.LG"],"primary_cat":"cs.AI","authors_text":"Jinyang Gao, Liyu Mou, Shiqi Li, Wei Li, Xiaorong Shi, Xiaoxia Li, Yifu Liu, Yiming Wang, Yingqi Gao, Yin Zhu, Yu Li, Yuntao Hong, Zhiling Luo","submitted_at":"2024-11-13T13:30:21Z","abstract_excerpt":"To tackle the challenges of large language model performance in natural language to SQL tasks, we introduce XiYan-SQL, an innovative framework that employs a multi-generator ensemble strategy to improve candidate generation. We introduce M-Schema, a semi-structured schema representation method designed to enhance the understanding of database structures. To enhance the quality and diversity of generated candidate SQL queries, XiYan-SQL integrates the significant potential of in-context learning (ICL) with the precise control of supervised fine-tuning. On one hand, we propose a series of traini"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08599","kind":"arxiv","version":3},"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/2411.08599/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":"2026-07-05T10:12:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LTfBRIeYWPllF0TmCiZMW4OQhVoKzCeAQiX2cwwie3bEALISTNbTxmQ5Rn8Dt/iQktYfjmGo0aieIOdGDNoWCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T15:01:55.812918Z"},"content_sha256":"7d6b42ede96791348739d35ce678d2a48acad1e829444068bf258ff63a43b452","schema_version":"1.0","event_id":"sha256:7d6b42ede96791348739d35ce678d2a48acad1e829444068bf258ff63a43b452"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7LPFWBJBYYEMHAK5S2WSU2ULC7/bundle.json","state_url":"https://pith.science/pith/7LPFWBJBYYEMHAK5S2WSU2ULC7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7LPFWBJBYYEMHAK5S2WSU2ULC7/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":"2026-08-04T15:01:55Z","links":{"resolver":"https://pith.science/pith/7LPFWBJBYYEMHAK5S2WSU2ULC7","bundle":"https://pith.science/pith/7LPFWBJBYYEMHAK5S2WSU2ULC7/bundle.json","state":"https://pith.science/pith/7LPFWBJBYYEMHAK5S2WSU2ULC7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7LPFWBJBYYEMHAK5S2WSU2ULC7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7LPFWBJBYYEMHAK5S2WSU2ULC7","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":"50d662e8347f411c906bfce0d797c49b08ce786b87af1a7fc87f4014d7501006","cross_cats_sorted":["cs.CL","cs.DB","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-13T13:30:21Z","title_canon_sha256":"d29a6faa5181d42ef6d10168895282803629249208aeb692637ef3c52d659911"},"schema_version":"1.0","source":{"id":"2411.08599","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08599","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08599v3","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08599","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"pith_short_12","alias_value":"7LPFWBJBYYEM","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"pith_short_16","alias_value":"7LPFWBJBYYEMHAK5","created_at":"2026-07-05T10:12:02Z"},{"alias_kind":"pith_short_8","alias_value":"7LPFWBJB","created_at":"2026-07-05T10:12:02Z"}],"graph_snapshots":[{"event_id":"sha256:7d6b42ede96791348739d35ce678d2a48acad1e829444068bf258ff63a43b452","target":"graph","created_at":"2026-07-05T10:12:02Z","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/2411.08599/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To tackle the challenges of large language model performance in natural language to SQL tasks, we introduce XiYan-SQL, an innovative framework that employs a multi-generator ensemble strategy to improve candidate generation. We introduce M-Schema, a semi-structured schema representation method designed to enhance the understanding of database structures. To enhance the quality and diversity of generated candidate SQL queries, XiYan-SQL integrates the significant potential of in-context learning (ICL) with the precise control of supervised fine-tuning. On one hand, we propose a series of traini","authors_text":"Jinyang Gao, Liyu Mou, Shiqi Li, Wei Li, Xiaorong Shi, Xiaoxia Li, Yifu Liu, Yiming Wang, Yingqi Gao, Yin Zhu, Yu Li, Yuntao Hong, Zhiling Luo","cross_cats":["cs.CL","cs.DB","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-13T13:30:21Z","title":"A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08599","kind":"arxiv","version":3},"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:e6b4d8a5046d8086dd7c832f936a486135d9259fffc37054d7dd681629ae954b","target":"record","created_at":"2026-07-05T10:12:02Z","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":"50d662e8347f411c906bfce0d797c49b08ce786b87af1a7fc87f4014d7501006","cross_cats_sorted":["cs.CL","cs.DB","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-13T13:30:21Z","title_canon_sha256":"d29a6faa5181d42ef6d10168895282803629249208aeb692637ef3c52d659911"},"schema_version":"1.0","source":{"id":"2411.08599","kind":"arxiv","version":3}},"canonical_sha256":"fade5b0521c608c3815d96ad2a6a8b17e84f3bb47842e702e3cd79734f615083","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fade5b0521c608c3815d96ad2a6a8b17e84f3bb47842e702e3cd79734f615083","first_computed_at":"2026-07-05T10:12:02.208636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:02.208636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2RswETnBrtv2Y9sCXELpE/FqI+YdHx72aVBHx12vyvD3U0XFwWIR4DrwQdxbfH8wta8Vwp572ZJgeZz8ji3vCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:02.209152Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.08599","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6b4d8a5046d8086dd7c832f936a486135d9259fffc37054d7dd681629ae954b","sha256:7d6b42ede96791348739d35ce678d2a48acad1e829444068bf258ff63a43b452"],"state_sha256":"41e7010d59b21608bac8488ff5e9afa3de7ccd57f4e5bdbb95c13bd15192a106"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"688JOdW8gaF3bOxobKzf0moOtJPYAI+1bX6jGgC7DzVJ2T1rU1lsQEd4fy9Efbm0DnVB4R8NxH7w/LlVfUdnCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T15:01:55.821444Z","bundle_sha256":"6f204756acb54e26a535306e04f42daff86422258b15600914acf008f7e75875"}}