{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:WAYHKWMOS2ONRQE7FAJD46JA2J","short_pith_number":"pith:WAYHKWMO","schema_version":"1.0","canonical_sha256":"b03075598e969cd8c09f28123e7920d27ea5057105e373c7e22ef88938fe9d9a","source":{"kind":"arxiv","id":"2412.07629","version":4},"attestation_state":"computed","paper":{"title":"Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jihun Lee, Kwang In Kim, Kyumin Kim, Sungjae Lee, Wonjin Lee","submitted_at":"2024-12-10T16:08:14Z","abstract_excerpt":"Applying language models (LMs) to tables is challenging due to the inherent structural differences between two-dimensional tables and one-dimensional text for which the LMs were originally designed. Furthermore, when applying linearized tables to LMs, the maximum token lengths often imposed in self-attention calculations make it difficult to comprehensively understand the context spread across large tables. To address these challenges, we present PieTa (Piece of Table), a new framework for subtable-based question answering (QA). PieTa operates through an iterative process of dividing tables in"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.07629","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-10T16:08:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c481f91fd66538fccff82856dcfba7004edb57f87477147db7768b7cc15a1b62","abstract_canon_sha256":"8baa1067db3017376c9a9be56fb005c9aafdad005593a73d64c07594ba0b9b2d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:16:40.121396Z","signature_b64":"oBGgzexgdQ/UUQOpWHzzFofOQJBFkNclvM9kjrvI8dEpRyuIalL/RV2M8/KFD4ma5svsNh0D2DQJ+JDmOzi0AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b03075598e969cd8c09f28123e7920d27ea5057105e373c7e22ef88938fe9d9a","last_reissued_at":"2026-07-05T10:16:40.120819Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:16:40.120819Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jihun Lee, Kwang In Kim, Kyumin Kim, Sungjae Lee, Wonjin Lee","submitted_at":"2024-12-10T16:08:14Z","abstract_excerpt":"Applying language models (LMs) to tables is challenging due to the inherent structural differences between two-dimensional tables and one-dimensional text for which the LMs were originally designed. Furthermore, when applying linearized tables to LMs, the maximum token lengths often imposed in self-attention calculations make it difficult to comprehensively understand the context spread across large tables. To address these challenges, we present PieTa (Piece of Table), a new framework for subtable-based question answering (QA). PieTa operates through an iterative process of dividing tables in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07629","kind":"arxiv","version":4},"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/2412.07629/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.07629","created_at":"2026-07-05T10:16:40.120898+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.07629v4","created_at":"2026-07-05T10:16:40.120898+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07629","created_at":"2026-07-05T10:16:40.120898+00:00"},{"alias_kind":"pith_short_12","alias_value":"WAYHKWMOS2ON","created_at":"2026-07-05T10:16:40.120898+00:00"},{"alias_kind":"pith_short_16","alias_value":"WAYHKWMOS2ONRQE7","created_at":"2026-07-05T10:16:40.120898+00:00"},{"alias_kind":"pith_short_8","alias_value":"WAYHKWMO","created_at":"2026-07-05T10:16:40.120898+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J","json":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J.json","graph_json":"https://pith.science/api/pith-number/WAYHKWMOS2ONRQE7FAJD46JA2J/graph.json","events_json":"https://pith.science/api/pith-number/WAYHKWMOS2ONRQE7FAJD46JA2J/events.json","paper":"https://pith.science/paper/WAYHKWMO"},"agent_actions":{"view_html":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J","download_json":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J.json","view_paper":"https://pith.science/paper/WAYHKWMO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.07629&json=true","fetch_graph":"https://pith.science/api/pith-number/WAYHKWMOS2ONRQE7FAJD46JA2J/graph.json","fetch_events":"https://pith.science/api/pith-number/WAYHKWMOS2ONRQE7FAJD46JA2J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J/action/storage_attestation","attest_author":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J/action/author_attestation","sign_citation":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J/action/citation_signature","submit_replication":"https://pith.science/pith/WAYHKWMOS2ONRQE7FAJD46JA2J/action/replication_record"}},"created_at":"2026-07-05T10:16:40.120898+00:00","updated_at":"2026-07-05T10:16:40.120898+00:00"}