{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:APLV4MP5V5R65EW2XLSUZ2IIQD","short_pith_number":"pith:APLV4MP5","schema_version":"1.0","canonical_sha256":"03d75e31fdaf63ee92dabae54ce90880d9baa1bfd7ab7cf4fa9a8b84cba5e0c2","source":{"kind":"arxiv","id":"1303.7310","version":1},"attestation_state":"computed","paper":{"title":"Exploring the Role of Logically Related Non-Question Phrases for Answering Why-Questions","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Kannan Srinathan, Niraj Kumar, Rashmi Gangadharaiah, Vasudeva Varma","submitted_at":"2013-03-29T06:31:40Z","abstract_excerpt":"In this paper, we show that certain phrases although not present in a given question/query, play a very important role in answering the question. Exploring the role of such phrases in answering questions not only reduces the dependency on matching question phrases for extracting answers, but also improves the quality of the extracted answers. Here matching question phrases means phrases which co-occur in given question and candidate answers. To achieve the above discussed goal, we introduce a bigram-based word graph model populated with semantic and topical relatedness of terms in the given do"},"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":"1303.7310","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CL","submitted_at":"2013-03-29T06:31:40Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"beb4c430534a654798271976beafe5123f0e65cccb04128c72a87d7f3a6e5dd3","abstract_canon_sha256":"863da0f80b131d84f51951bfa43c16df7e8aaa25543f245e8a528eb006add171"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:29:26.368500Z","signature_b64":"YpiWf9vvzPdGlnv4CDfK2nZmBH+aFse0stXayJSf9JvbHSZptUxjUfQnHwGa65pPkndgU9uEgp4pMwgx9o/LAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"03d75e31fdaf63ee92dabae54ce90880d9baa1bfd7ab7cf4fa9a8b84cba5e0c2","last_reissued_at":"2026-05-18T03:29:26.367665Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:29:26.367665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exploring the Role of Logically Related Non-Question Phrases for Answering Why-Questions","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Kannan Srinathan, Niraj Kumar, Rashmi Gangadharaiah, Vasudeva Varma","submitted_at":"2013-03-29T06:31:40Z","abstract_excerpt":"In this paper, we show that certain phrases although not present in a given question/query, play a very important role in answering the question. Exploring the role of such phrases in answering questions not only reduces the dependency on matching question phrases for extracting answers, but also improves the quality of the extracted answers. Here matching question phrases means phrases which co-occur in given question and candidate answers. To achieve the above discussed goal, we introduce a bigram-based word graph model populated with semantic and topical relatedness of terms in the given do"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.7310","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":""},"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":"1303.7310","created_at":"2026-05-18T03:29:26.367799+00:00"},{"alias_kind":"arxiv_version","alias_value":"1303.7310v1","created_at":"2026-05-18T03:29:26.367799+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.7310","created_at":"2026-05-18T03:29:26.367799+00:00"},{"alias_kind":"pith_short_12","alias_value":"APLV4MP5V5R6","created_at":"2026-05-18T12:27:38.830355+00:00"},{"alias_kind":"pith_short_16","alias_value":"APLV4MP5V5R65EW2","created_at":"2026-05-18T12:27:38.830355+00:00"},{"alias_kind":"pith_short_8","alias_value":"APLV4MP5","created_at":"2026-05-18T12:27:38.830355+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/APLV4MP5V5R65EW2XLSUZ2IIQD","json":"https://pith.science/pith/APLV4MP5V5R65EW2XLSUZ2IIQD.json","graph_json":"https://pith.science/api/pith-number/APLV4MP5V5R65EW2XLSUZ2IIQD/graph.json","events_json":"https://pith.science/api/pith-number/APLV4MP5V5R65EW2XLSUZ2IIQD/events.json","paper":"https://pith.science/paper/APLV4MP5"},"agent_actions":{"view_html":"https://pith.science/pith/APLV4MP5V5R65EW2XLSUZ2IIQD","download_json":"https://pith.science/pith/APLV4MP5V5R65EW2XLSUZ2IIQD.json","view_paper":"https://pith.science/paper/APLV4MP5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1303.7310&json=true","fetch_graph":"https://pith.science/api/pith-number/APLV4MP5V5R65EW2XLSUZ2IIQD/graph.json","fetch_events":"https://pith.science/api/pith-number/APLV4MP5V5R65EW2XLSUZ2IIQD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/APLV4MP5V5R65EW2XLSUZ2IIQD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/APLV4MP5V5R65EW2XLSUZ2IIQD/action/storage_attestation","attest_author":"https://pith.science/pith/APLV4MP5V5R65EW2XLSUZ2IIQD/action/author_attestation","sign_citation":"https://pith.science/pith/APLV4MP5V5R65EW2XLSUZ2IIQD/action/citation_signature","submit_replication":"https://pith.science/pith/APLV4MP5V5R65EW2XLSUZ2IIQD/action/replication_record"}},"created_at":"2026-05-18T03:29:26.367799+00:00","updated_at":"2026-05-18T03:29:26.367799+00:00"}