{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5PQZ2C6VXQMIGOYLQLFSUPBZWY","short_pith_number":"pith:5PQZ2C6V","canonical_record":{"source":{"id":"2305.12820","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T08:25:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e062459fc5b28ce75e28bf3c6439273a3de7f1917b0d7b94fd2b47bbbde2976f","abstract_canon_sha256":"df5bb9079798f61787d378912550a24a6136f8553c7d4a6ce1350e60dcbb9408"},"schema_version":"1.0"},"canonical_sha256":"ebe19d0bd5bc18833b0b82cb2a3c39b61df8595b8f07c1a600238fb26aa46476","source":{"kind":"arxiv","id":"2305.12820","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12820","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12820v2","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12820","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"pith_short_12","alias_value":"5PQZ2C6VXQMI","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"pith_short_16","alias_value":"5PQZ2C6VXQMIGOYL","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"pith_short_8","alias_value":"5PQZ2C6V","created_at":"2026-07-05T06:38:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5PQZ2C6VXQMIGOYLQLFSUPBZWY","target":"record","payload":{"canonical_record":{"source":{"id":"2305.12820","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T08:25:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e062459fc5b28ce75e28bf3c6439273a3de7f1917b0d7b94fd2b47bbbde2976f","abstract_canon_sha256":"df5bb9079798f61787d378912550a24a6136f8553c7d4a6ce1350e60dcbb9408"},"schema_version":"1.0"},"canonical_sha256":"ebe19d0bd5bc18833b0b82cb2a3c39b61df8595b8f07c1a600238fb26aa46476","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:38:57.734421Z","signature_b64":"b8/yrVMF10ikGkdX+1t3tsaulLoMj6Paf9Aowh3hhIEbznQmeVT0fg1FNKayyJ8aq3CAADugusat+BQnts2yAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebe19d0bd5bc18833b0b82cb2a3c39b61df8595b8f07c1a600238fb26aa46476","last_reissued_at":"2026-07-05T06:38:57.733948Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:38:57.733948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.12820","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:38:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MnU5nWdTp8/196yOIJtsSlpNFWDzPs8F5ZL5DiS4iSFci3AN2CI032IEPqfGOjB8XHdIAFIBXUArBFHw7/S9Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:10:58.582154Z"},"content_sha256":"1f5fa2c029a291e845bc60a2ac5b3e8345e5a76338a78b466e108fa265edaf21","schema_version":"1.0","event_id":"sha256:1f5fa2c029a291e845bc60a2ac5b3e8345e5a76338a78b466e108fa265edaf21"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5PQZ2C6VXQMIGOYLQLFSUPBZWY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Andrew Yates, Evangelos Kanoulas, Maarten de Rijke, Vaishali Pal","submitted_at":"2023-05-22T08:25:15Z","abstract_excerpt":"Recent advances in tabular question answering (QA) with large language models are constrained in their coverage and only answer questions over a single table. However, real-world queries are complex in nature, often over multiple tables in a relational database or web page. Single table questions do not involve common table operations such as set operations, Cartesian products (joins), or nested queries. Furthermore, multi-table operations often result in a tabular output, which necessitates table generation capabilities of tabular QA models. To fill this gap, we propose a new task of answerin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12820","kind":"arxiv","version":2},"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/2305.12820/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":"2026-07-05T06:38:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VIoox1nDaw+ncI6LX9VHf1j0Py2NA2UKa8lkRs0RZ/n3NeZ08YNGQEupYNDwOiPnrjok3UVrhKsd8Z+bbi0YAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:10:58.582676Z"},"content_sha256":"76bad3b37dfeca6880ab2ab7e5cd4cc41e650ee1d5323d34d19d52e456be2869","schema_version":"1.0","event_id":"sha256:76bad3b37dfeca6880ab2ab7e5cd4cc41e650ee1d5323d34d19d52e456be2869"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5PQZ2C6VXQMIGOYLQLFSUPBZWY/bundle.json","state_url":"https://pith.science/pith/5PQZ2C6VXQMIGOYLQLFSUPBZWY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5PQZ2C6VXQMIGOYLQLFSUPBZWY/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":"2026-07-09T03:10:58Z","links":{"resolver":"https://pith.science/pith/5PQZ2C6VXQMIGOYLQLFSUPBZWY","bundle":"https://pith.science/pith/5PQZ2C6VXQMIGOYLQLFSUPBZWY/bundle.json","state":"https://pith.science/pith/5PQZ2C6VXQMIGOYLQLFSUPBZWY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5PQZ2C6VXQMIGOYLQLFSUPBZWY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5PQZ2C6VXQMIGOYLQLFSUPBZWY","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":"df5bb9079798f61787d378912550a24a6136f8553c7d4a6ce1350e60dcbb9408","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T08:25:15Z","title_canon_sha256":"e062459fc5b28ce75e28bf3c6439273a3de7f1917b0d7b94fd2b47bbbde2976f"},"schema_version":"1.0","source":{"id":"2305.12820","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12820","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12820v2","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12820","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"pith_short_12","alias_value":"5PQZ2C6VXQMI","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"pith_short_16","alias_value":"5PQZ2C6VXQMIGOYL","created_at":"2026-07-05T06:38:57Z"},{"alias_kind":"pith_short_8","alias_value":"5PQZ2C6V","created_at":"2026-07-05T06:38:57Z"}],"graph_snapshots":[{"event_id":"sha256:76bad3b37dfeca6880ab2ab7e5cd4cc41e650ee1d5323d34d19d52e456be2869","target":"graph","created_at":"2026-07-05T06:38:57Z","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/2305.12820/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in tabular question answering (QA) with large language models are constrained in their coverage and only answer questions over a single table. However, real-world queries are complex in nature, often over multiple tables in a relational database or web page. Single table questions do not involve common table operations such as set operations, Cartesian products (joins), or nested queries. Furthermore, multi-table operations often result in a tabular output, which necessitates table generation capabilities of tabular QA models. To fill this gap, we propose a new task of answerin","authors_text":"Andrew Yates, Evangelos Kanoulas, Maarten de Rijke, Vaishali Pal","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T08:25:15Z","title":"MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12820","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":"sha256:1f5fa2c029a291e845bc60a2ac5b3e8345e5a76338a78b466e108fa265edaf21","target":"record","created_at":"2026-07-05T06:38:57Z","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":"df5bb9079798f61787d378912550a24a6136f8553c7d4a6ce1350e60dcbb9408","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-22T08:25:15Z","title_canon_sha256":"e062459fc5b28ce75e28bf3c6439273a3de7f1917b0d7b94fd2b47bbbde2976f"},"schema_version":"1.0","source":{"id":"2305.12820","kind":"arxiv","version":2}},"canonical_sha256":"ebe19d0bd5bc18833b0b82cb2a3c39b61df8595b8f07c1a600238fb26aa46476","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebe19d0bd5bc18833b0b82cb2a3c39b61df8595b8f07c1a600238fb26aa46476","first_computed_at":"2026-07-05T06:38:57.733948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:38:57.733948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b8/yrVMF10ikGkdX+1t3tsaulLoMj6Paf9Aowh3hhIEbznQmeVT0fg1FNKayyJ8aq3CAADugusat+BQnts2yAA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:38:57.734421Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.12820","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f5fa2c029a291e845bc60a2ac5b3e8345e5a76338a78b466e108fa265edaf21","sha256:76bad3b37dfeca6880ab2ab7e5cd4cc41e650ee1d5323d34d19d52e456be2869"],"state_sha256":"186c6403a4710339e06fb60f202c96f467963dd8893986b674894ff1d7d44c70"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YoijhL65yZPz+Feck1RANJqQ3y8qQMSC925gzlLjQCDOzx2B06/qADnT5RqhS1Rwt2s+isPmsfpMY+6k5YoyBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T03:10:58.585668Z","bundle_sha256":"6b559c37c9fe4a010175b57cf5f456049a36d3e88ad81c62be97b5c861a886ed"}}