{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:KBE55QQ66LN6BZN3CT5PQKYAKY","short_pith_number":"pith:KBE55QQ6","schema_version":"1.0","canonical_sha256":"5049dec21ef2dbe0e5bb14faf82b005626e0ca54a6e7fa035c2567eb7e072e6d","source":{"kind":"arxiv","id":"2309.05938","version":2},"attestation_state":"computed","paper":{"title":"Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"100088, 2, 2), 4) ((1) School of Artificial Intelligence, 510006, 510330, China), China (3) China National Institute of Standardization, China (4) Pazhou Lab, Guangzhou, Jianxing Yu (1, Meng-xiang Wang (3), Processing, Sun Yat-sen University, Yufeng Zhang (1, Zhuhai 519082 (2) Guangdong Key Laboratory of Big Data Analysis","submitted_at":"2023-09-12T03:27:08Z","abstract_excerpt":"This paper proposes a new task in the field of Answering Subjective Induction Question on Products (SUBJPQA). The answer to this kind of question is non-unique, but can be interpreted from many perspectives. For example, the answer to 'whether the phone is heavy' has a variety of different viewpoints. A satisfied answer should be able to summarize these subjective opinions from multiple sources and provide objective knowledge, such as the weight of a phone. That is quite different from the traditional QA task, in which the answer to a factoid question is unique and can be found from a single d"},"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":"2309.05938","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-09-12T03:27:08Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4e94c15ea6c7740db2587f5f999332833c0510409ba139cd6db4c92e769b345a","abstract_canon_sha256":"fa4567f720cc0c14743667fa2999ab37330e4c7b110b62abb6d3c8af03f6d696"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:57:55.534965Z","signature_b64":"guN6zuwrHgZp3bEDeaOByJZDVJLs542Zs0p+Yp+XwWg7U3jXdSejkhaGxzfxo+OxGtTzTzQXJUdkodsX1HAxCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5049dec21ef2dbe0e5bb14faf82b005626e0ca54a6e7fa035c2567eb7e072e6d","last_reissued_at":"2026-07-05T06:57:55.534456Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:57:55.534456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"100088, 2, 2), 4) ((1) School of Artificial Intelligence, 510006, 510330, China), China (3) China National Institute of Standardization, China (4) Pazhou Lab, Guangzhou, Jianxing Yu (1, Meng-xiang Wang (3), Processing, Sun Yat-sen University, Yufeng Zhang (1, Zhuhai 519082 (2) Guangdong Key Laboratory of Big Data Analysis","submitted_at":"2023-09-12T03:27:08Z","abstract_excerpt":"This paper proposes a new task in the field of Answering Subjective Induction Question on Products (SUBJPQA). The answer to this kind of question is non-unique, but can be interpreted from many perspectives. For example, the answer to 'whether the phone is heavy' has a variety of different viewpoints. A satisfied answer should be able to summarize these subjective opinions from multiple sources and provide objective knowledge, such as the weight of a phone. That is quite different from the traditional QA task, in which the answer to a factoid question is unique and can be found from a single d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.05938","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/2309.05938/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":"2309.05938","created_at":"2026-07-05T06:57:55.534512+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.05938v2","created_at":"2026-07-05T06:57:55.534512+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.05938","created_at":"2026-07-05T06:57:55.534512+00:00"},{"alias_kind":"pith_short_12","alias_value":"KBE55QQ66LN6","created_at":"2026-07-05T06:57:55.534512+00:00"},{"alias_kind":"pith_short_16","alias_value":"KBE55QQ66LN6BZN3","created_at":"2026-07-05T06:57:55.534512+00:00"},{"alias_kind":"pith_short_8","alias_value":"KBE55QQ6","created_at":"2026-07-05T06:57:55.534512+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/KBE55QQ66LN6BZN3CT5PQKYAKY","json":"https://pith.science/pith/KBE55QQ66LN6BZN3CT5PQKYAKY.json","graph_json":"https://pith.science/api/pith-number/KBE55QQ66LN6BZN3CT5PQKYAKY/graph.json","events_json":"https://pith.science/api/pith-number/KBE55QQ66LN6BZN3CT5PQKYAKY/events.json","paper":"https://pith.science/paper/KBE55QQ6"},"agent_actions":{"view_html":"https://pith.science/pith/KBE55QQ66LN6BZN3CT5PQKYAKY","download_json":"https://pith.science/pith/KBE55QQ66LN6BZN3CT5PQKYAKY.json","view_paper":"https://pith.science/paper/KBE55QQ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.05938&json=true","fetch_graph":"https://pith.science/api/pith-number/KBE55QQ66LN6BZN3CT5PQKYAKY/graph.json","fetch_events":"https://pith.science/api/pith-number/KBE55QQ66LN6BZN3CT5PQKYAKY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KBE55QQ66LN6BZN3CT5PQKYAKY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KBE55QQ66LN6BZN3CT5PQKYAKY/action/storage_attestation","attest_author":"https://pith.science/pith/KBE55QQ66LN6BZN3CT5PQKYAKY/action/author_attestation","sign_citation":"https://pith.science/pith/KBE55QQ66LN6BZN3CT5PQKYAKY/action/citation_signature","submit_replication":"https://pith.science/pith/KBE55QQ66LN6BZN3CT5PQKYAKY/action/replication_record"}},"created_at":"2026-07-05T06:57:55.534512+00:00","updated_at":"2026-07-05T06:57:55.534512+00:00"}