{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JFYR3XQAQF5RTTFLUO7ATLGWA5","short_pith_number":"pith:JFYR3XQA","canonical_record":{"source":{"id":"2405.02712","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-04T16:56:14Z","cross_cats_sorted":[],"title_canon_sha256":"aa64efd0b1188ce7fb01bba37cbb024528e857be8463f807d784810487ff4c30","abstract_canon_sha256":"f7220afa0236fb47638815556858278e60a85ad6660bb2be466d38739d6e8c69"},"schema_version":"1.0"},"canonical_sha256":"49711dde00817b19ccaba3be09acd6075111bf3143b81ea852448e4b55af026e","source":{"kind":"arxiv","id":"2405.02712","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.02712","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"arxiv_version","alias_value":"2405.02712v1","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.02712","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"pith_short_12","alias_value":"JFYR3XQAQF5R","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"pith_short_16","alias_value":"JFYR3XQAQF5RTTFL","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"pith_short_8","alias_value":"JFYR3XQA","created_at":"2026-07-05T08:15:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JFYR3XQAQF5RTTFLUO7ATLGWA5","target":"record","payload":{"canonical_record":{"source":{"id":"2405.02712","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-04T16:56:14Z","cross_cats_sorted":[],"title_canon_sha256":"aa64efd0b1188ce7fb01bba37cbb024528e857be8463f807d784810487ff4c30","abstract_canon_sha256":"f7220afa0236fb47638815556858278e60a85ad6660bb2be466d38739d6e8c69"},"schema_version":"1.0"},"canonical_sha256":"49711dde00817b19ccaba3be09acd6075111bf3143b81ea852448e4b55af026e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:15:52.638542Z","signature_b64":"jrixWqC3qmsuQRT1bhJ1dJ3qpb5gi33BDi99EYz17FELDuBaZceLq7isGcW253WZ1H43kuM0J3jJiPBDRAZMCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49711dde00817b19ccaba3be09acd6075111bf3143b81ea852448e4b55af026e","last_reissued_at":"2026-07-05T08:15:52.637972Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:15:52.637972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.02712","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:15:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AymddOvyfhmJuzy4pXg9D3hPMCiMLYf9LOaK0a9YazBb3da/yuyfri+kQI6CY0e8N9aav7ygEKpaR36aoj+ECA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:54:11.267331Z"},"content_sha256":"a14f1fb777b571a05d8a8e53cc81a32d865000b6bfe7826cc230381f5d2d0be6","schema_version":"1.0","event_id":"sha256:a14f1fb777b571a05d8a8e53cc81a32d865000b6bfe7826cc230381f5d2d0be6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JFYR3XQAQF5RTTFLUO7ATLGWA5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hanchong Zhang, Hongshen Xu, Kai Yu, Lu Chen, Ruisheng Cao","submitted_at":"2024-05-04T16:56:14Z","abstract_excerpt":"Recently, Large Language Models (LLMs) have been demonstrated to possess impressive capabilities in a variety of domains and tasks. We investigate the issue of prompt design in the multi-turn text-to-SQL task and attempt to enhance the LLMs' reasoning capacity when generating SQL queries. In the conversational context, the current SQL query can be modified from the preceding SQL query with only a few operations due to the context dependency. We introduce our method called CoE-SQL which can prompt LLMs to generate the SQL query based on the previously generated SQL query with an edition chain. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.02712","kind":"arxiv","version":1},"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/2405.02712/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":"2026-07-05T08:15:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u3A80POM2fMfkFyPEQX80TneeVq2uxkFNoVZ6yqHbCZ/iivi0sok4JJYmCEzzupaYdD0YuVJSasVXiOj1cMgCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:54:11.267833Z"},"content_sha256":"f37bdcc939ba8ddf3c8b95383ed42727fa77a725f8bca15db22b65c6012f5a8d","schema_version":"1.0","event_id":"sha256:f37bdcc939ba8ddf3c8b95383ed42727fa77a725f8bca15db22b65c6012f5a8d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JFYR3XQAQF5RTTFLUO7ATLGWA5/bundle.json","state_url":"https://pith.science/pith/JFYR3XQAQF5RTTFLUO7ATLGWA5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JFYR3XQAQF5RTTFLUO7ATLGWA5/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":"2026-08-08T13:54:11Z","links":{"resolver":"https://pith.science/pith/JFYR3XQAQF5RTTFLUO7ATLGWA5","bundle":"https://pith.science/pith/JFYR3XQAQF5RTTFLUO7ATLGWA5/bundle.json","state":"https://pith.science/pith/JFYR3XQAQF5RTTFLUO7ATLGWA5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JFYR3XQAQF5RTTFLUO7ATLGWA5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JFYR3XQAQF5RTTFLUO7ATLGWA5","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":"f7220afa0236fb47638815556858278e60a85ad6660bb2be466d38739d6e8c69","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-04T16:56:14Z","title_canon_sha256":"aa64efd0b1188ce7fb01bba37cbb024528e857be8463f807d784810487ff4c30"},"schema_version":"1.0","source":{"id":"2405.02712","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.02712","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"arxiv_version","alias_value":"2405.02712v1","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.02712","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"pith_short_12","alias_value":"JFYR3XQAQF5R","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"pith_short_16","alias_value":"JFYR3XQAQF5RTTFL","created_at":"2026-07-05T08:15:52Z"},{"alias_kind":"pith_short_8","alias_value":"JFYR3XQA","created_at":"2026-07-05T08:15:52Z"}],"graph_snapshots":[{"event_id":"sha256:f37bdcc939ba8ddf3c8b95383ed42727fa77a725f8bca15db22b65c6012f5a8d","target":"graph","created_at":"2026-07-05T08:15:52Z","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/2405.02712/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, Large Language Models (LLMs) have been demonstrated to possess impressive capabilities in a variety of domains and tasks. We investigate the issue of prompt design in the multi-turn text-to-SQL task and attempt to enhance the LLMs' reasoning capacity when generating SQL queries. In the conversational context, the current SQL query can be modified from the preceding SQL query with only a few operations due to the context dependency. We introduce our method called CoE-SQL which can prompt LLMs to generate the SQL query based on the previously generated SQL query with an edition chain. ","authors_text":"Hanchong Zhang, Hongshen Xu, Kai Yu, Lu Chen, Ruisheng Cao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-04T16:56:14Z","title":"CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.02712","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:a14f1fb777b571a05d8a8e53cc81a32d865000b6bfe7826cc230381f5d2d0be6","target":"record","created_at":"2026-07-05T08:15:52Z","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":"f7220afa0236fb47638815556858278e60a85ad6660bb2be466d38739d6e8c69","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-04T16:56:14Z","title_canon_sha256":"aa64efd0b1188ce7fb01bba37cbb024528e857be8463f807d784810487ff4c30"},"schema_version":"1.0","source":{"id":"2405.02712","kind":"arxiv","version":1}},"canonical_sha256":"49711dde00817b19ccaba3be09acd6075111bf3143b81ea852448e4b55af026e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49711dde00817b19ccaba3be09acd6075111bf3143b81ea852448e4b55af026e","first_computed_at":"2026-07-05T08:15:52.637972Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:15:52.637972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jrixWqC3qmsuQRT1bhJ1dJ3qpb5gi33BDi99EYz17FELDuBaZceLq7isGcW253WZ1H43kuM0J3jJiPBDRAZMCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:15:52.638542Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.02712","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a14f1fb777b571a05d8a8e53cc81a32d865000b6bfe7826cc230381f5d2d0be6","sha256:f37bdcc939ba8ddf3c8b95383ed42727fa77a725f8bca15db22b65c6012f5a8d"],"state_sha256":"d8ec91f529ca5f8459052e4ce09aaab702a649cd4ec64f3d2b752c0ff92093ef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KYXOdxAh/aToUcHRzubpksP/I730YMUHBjBl9FsCbxc5xAIyEsOd5kqFCZdC6M5nhwaUuh8Z6SRpcoiVBrmvDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:54:11.271114Z","bundle_sha256":"2297395c41244d01d71ba2f6f558800b93c9675887f70b39470b1299a15acc59"}}