{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:DG6H5ZQIT2SZVQF7OKB2B5WEP2","short_pith_number":"pith:DG6H5ZQI","canonical_record":{"source":{"id":"2010.12634","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-23T19:36:57Z","cross_cats_sorted":[],"title_canon_sha256":"e9d4ad5ba3026a75175ad563260e18d8d3e71ac040a593709df4e8f7863763b8","abstract_canon_sha256":"ac4d2a001e663795f94578cc8a4dbb6b35091b4b4c8bd2ac15545332fc59e373"},"schema_version":"1.0"},"canonical_sha256":"19bc7ee6089ea59ac0bf7283a0f6c47e8ea582f1a95a0e887b22716eaee31707","source":{"kind":"arxiv","id":"2010.12634","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.12634","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"arxiv_version","alias_value":"2010.12634v1","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.12634","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"pith_short_12","alias_value":"DG6H5ZQIT2SZ","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"pith_short_16","alias_value":"DG6H5ZQIT2SZVQF7","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"pith_short_8","alias_value":"DG6H5ZQI","created_at":"2026-07-05T01:45:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:DG6H5ZQIT2SZVQF7OKB2B5WEP2","target":"record","payload":{"canonical_record":{"source":{"id":"2010.12634","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-23T19:36:57Z","cross_cats_sorted":[],"title_canon_sha256":"e9d4ad5ba3026a75175ad563260e18d8d3e71ac040a593709df4e8f7863763b8","abstract_canon_sha256":"ac4d2a001e663795f94578cc8a4dbb6b35091b4b4c8bd2ac15545332fc59e373"},"schema_version":"1.0"},"canonical_sha256":"19bc7ee6089ea59ac0bf7283a0f6c47e8ea582f1a95a0e887b22716eaee31707","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:45:46.675290Z","signature_b64":"5PnO4CYdQAfpQiKCcMtNr02VGu98JeeGn4/JhNipuAGX4vhIf0Dm9+e8vWYUTMGOCGpfT0jPqnzVuahKJIkyAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19bc7ee6089ea59ac0bf7283a0f6c47e8ea582f1a95a0e887b22716eaee31707","last_reissued_at":"2026-07-05T01:45:46.674873Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:45:46.674873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.12634","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":"2026-07-05T01:45:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XKbmnm0pIaL1mP8CxaxrOFWNQ8K0NFsDVtNVNCjUEIRnc22ErVVqOjOHtuQQelC2lZohyFFrTZGq7Dsvk9yABw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T18:30:02.128665Z"},"content_sha256":"b9c8879e21ffc89bcdab88f06e6800af037f24edffe47af586309965dfa79a26","schema_version":"1.0","event_id":"sha256:b9c8879e21ffc89bcdab88f06e6800af037f24edffe47af586309965dfa79a26"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:DG6H5ZQIT2SZVQF7OKB2B5WEP2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Peng Shi, Rui Zhang, Shuaichen Chang, Tao Yu, Xiangyu Dong, Yusen Zhang","submitted_at":"2020-10-23T19:36:57Z","abstract_excerpt":"Neural models have achieved significant results on the text-to-SQL task, in which most current work assumes all the input questions are legal and generates a SQL query for any input. However, in the real scenario, users can input any text that may not be able to be answered by a SQL query. In this work, we propose TriageSQL, the first cross-domain text-to-SQL question intention classification benchmark that requires models to distinguish four types of unanswerable questions from answerable questions. The baseline RoBERTa model achieves a 60% F1 score on the test set, demonstrating the need for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.12634","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/2010.12634/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":"2026-07-05T01:45:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8LR5HrzU2eTHPDVOFxBBQyp7HUW/DvjP5ECesWLjEaFS7Q81bRs5gGbtIo+H9V34pmivYPyQHiSRtpRUGgoMAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T18:30:02.129272Z"},"content_sha256":"d18cd302c54cad90779bfa631418b8e05d19497e6277e3d269ee5ffad15b57f3","schema_version":"1.0","event_id":"sha256:d18cd302c54cad90779bfa631418b8e05d19497e6277e3d269ee5ffad15b57f3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DG6H5ZQIT2SZVQF7OKB2B5WEP2/bundle.json","state_url":"https://pith.science/pith/DG6H5ZQIT2SZVQF7OKB2B5WEP2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DG6H5ZQIT2SZVQF7OKB2B5WEP2/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":"2026-08-04T18:30:02Z","links":{"resolver":"https://pith.science/pith/DG6H5ZQIT2SZVQF7OKB2B5WEP2","bundle":"https://pith.science/pith/DG6H5ZQIT2SZVQF7OKB2B5WEP2/bundle.json","state":"https://pith.science/pith/DG6H5ZQIT2SZVQF7OKB2B5WEP2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DG6H5ZQIT2SZVQF7OKB2B5WEP2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DG6H5ZQIT2SZVQF7OKB2B5WEP2","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":"ac4d2a001e663795f94578cc8a4dbb6b35091b4b4c8bd2ac15545332fc59e373","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-23T19:36:57Z","title_canon_sha256":"e9d4ad5ba3026a75175ad563260e18d8d3e71ac040a593709df4e8f7863763b8"},"schema_version":"1.0","source":{"id":"2010.12634","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.12634","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"arxiv_version","alias_value":"2010.12634v1","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.12634","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"pith_short_12","alias_value":"DG6H5ZQIT2SZ","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"pith_short_16","alias_value":"DG6H5ZQIT2SZVQF7","created_at":"2026-07-05T01:45:46Z"},{"alias_kind":"pith_short_8","alias_value":"DG6H5ZQI","created_at":"2026-07-05T01:45:46Z"}],"graph_snapshots":[{"event_id":"sha256:d18cd302c54cad90779bfa631418b8e05d19497e6277e3d269ee5ffad15b57f3","target":"graph","created_at":"2026-07-05T01:45:46Z","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/2010.12634/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural models have achieved significant results on the text-to-SQL task, in which most current work assumes all the input questions are legal and generates a SQL query for any input. However, in the real scenario, users can input any text that may not be able to be answered by a SQL query. In this work, we propose TriageSQL, the first cross-domain text-to-SQL question intention classification benchmark that requires models to distinguish four types of unanswerable questions from answerable questions. The baseline RoBERTa model achieves a 60% F1 score on the test set, demonstrating the need for","authors_text":"Peng Shi, Rui Zhang, Shuaichen Chang, Tao Yu, Xiangyu Dong, Yusen Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-23T19:36:57Z","title":"Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.12634","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:b9c8879e21ffc89bcdab88f06e6800af037f24edffe47af586309965dfa79a26","target":"record","created_at":"2026-07-05T01:45:46Z","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":"ac4d2a001e663795f94578cc8a4dbb6b35091b4b4c8bd2ac15545332fc59e373","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-10-23T19:36:57Z","title_canon_sha256":"e9d4ad5ba3026a75175ad563260e18d8d3e71ac040a593709df4e8f7863763b8"},"schema_version":"1.0","source":{"id":"2010.12634","kind":"arxiv","version":1}},"canonical_sha256":"19bc7ee6089ea59ac0bf7283a0f6c47e8ea582f1a95a0e887b22716eaee31707","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19bc7ee6089ea59ac0bf7283a0f6c47e8ea582f1a95a0e887b22716eaee31707","first_computed_at":"2026-07-05T01:45:46.674873Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:45:46.674873Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5PnO4CYdQAfpQiKCcMtNr02VGu98JeeGn4/JhNipuAGX4vhIf0Dm9+e8vWYUTMGOCGpfT0jPqnzVuahKJIkyAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:45:46.675290Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.12634","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9c8879e21ffc89bcdab88f06e6800af037f24edffe47af586309965dfa79a26","sha256:d18cd302c54cad90779bfa631418b8e05d19497e6277e3d269ee5ffad15b57f3"],"state_sha256":"ad5869a8c3d224aa174587b2e5a74bc2054c667a70b9170f3257dc83c79074fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1x0DNu5yPYIn3ikhSNwpOV5GdUv7sG4H2FO7wpB2/hKK3p8US3rQBrT07jFPmybFtcDbKPpk6k3wr+/M9YVJDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T18:30:02.137119Z","bundle_sha256":"bd5a898e1f2f4e39b1320819b5952a17a3b6629dc35291ba5e945697353006c2"}}