{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:KJRBWC3TFHCEFS5HMLFSXJ22AW","short_pith_number":"pith:KJRBWC3T","schema_version":"1.0","canonical_sha256":"52621b0b7329c442cba762cb2ba75a05af8347702dfcc09f2aa7f2f9308d7312","source":{"kind":"arxiv","id":"2301.09759","version":1},"attestation_state":"computed","paper":{"title":"Topic Ontologies for Arguments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Benno Stein, Johannes Kiesel, Martin Potthast, Yamen Ajjour","submitted_at":"2023-01-23T23:43:24Z","abstract_excerpt":"Many computational argumentation tasks, like stance classification, are topic-dependent: the effectiveness of approaches to these tasks significantly depends on whether the approaches were trained on arguments from the same topics as those they are tested on. So, which are these topics that researchers train approaches on? This paper contributes the first comprehensive survey of topic coverage, assessing 45 argument corpora. For the assessment, we take the first step towards building an argument topic ontology, consulting three diverse authoritative sources: the World Economic Forum, the Wikip"},"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":"2301.09759","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-23T23:43:24Z","cross_cats_sorted":[],"title_canon_sha256":"6fbcfd59ea6b7b56f4f5e81d1b18e0f9cf4de9fae038b457dccfd1e90befee3a","abstract_canon_sha256":"5d565c74779658c47679df395c2edf16f057c740a344712c69ed3f467b43e1c4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:35:05.502354Z","signature_b64":"+eMVNRUYIGLm1++bWgod8PC6QUo6JSQF1ECBZ8D5q68KWBslGfylAhITeEih/fF1STLytx3Pe8eBcBzqBAICAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"52621b0b7329c442cba762cb2ba75a05af8347702dfcc09f2aa7f2f9308d7312","last_reissued_at":"2026-07-05T05:35:05.501853Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:35:05.501853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Topic Ontologies for Arguments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Benno Stein, Johannes Kiesel, Martin Potthast, Yamen Ajjour","submitted_at":"2023-01-23T23:43:24Z","abstract_excerpt":"Many computational argumentation tasks, like stance classification, are topic-dependent: the effectiveness of approaches to these tasks significantly depends on whether the approaches were trained on arguments from the same topics as those they are tested on. So, which are these topics that researchers train approaches on? This paper contributes the first comprehensive survey of topic coverage, assessing 45 argument corpora. For the assessment, we take the first step towards building an argument topic ontology, consulting three diverse authoritative sources: the World Economic Forum, the Wikip"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.09759","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/2301.09759/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":"2301.09759","created_at":"2026-07-05T05:35:05.501911+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.09759v1","created_at":"2026-07-05T05:35:05.501911+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.09759","created_at":"2026-07-05T05:35:05.501911+00:00"},{"alias_kind":"pith_short_12","alias_value":"KJRBWC3TFHCE","created_at":"2026-07-05T05:35:05.501911+00:00"},{"alias_kind":"pith_short_16","alias_value":"KJRBWC3TFHCEFS5H","created_at":"2026-07-05T05:35:05.501911+00:00"},{"alias_kind":"pith_short_8","alias_value":"KJRBWC3T","created_at":"2026-07-05T05:35:05.501911+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/KJRBWC3TFHCEFS5HMLFSXJ22AW","json":"https://pith.science/pith/KJRBWC3TFHCEFS5HMLFSXJ22AW.json","graph_json":"https://pith.science/api/pith-number/KJRBWC3TFHCEFS5HMLFSXJ22AW/graph.json","events_json":"https://pith.science/api/pith-number/KJRBWC3TFHCEFS5HMLFSXJ22AW/events.json","paper":"https://pith.science/paper/KJRBWC3T"},"agent_actions":{"view_html":"https://pith.science/pith/KJRBWC3TFHCEFS5HMLFSXJ22AW","download_json":"https://pith.science/pith/KJRBWC3TFHCEFS5HMLFSXJ22AW.json","view_paper":"https://pith.science/paper/KJRBWC3T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.09759&json=true","fetch_graph":"https://pith.science/api/pith-number/KJRBWC3TFHCEFS5HMLFSXJ22AW/graph.json","fetch_events":"https://pith.science/api/pith-number/KJRBWC3TFHCEFS5HMLFSXJ22AW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KJRBWC3TFHCEFS5HMLFSXJ22AW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KJRBWC3TFHCEFS5HMLFSXJ22AW/action/storage_attestation","attest_author":"https://pith.science/pith/KJRBWC3TFHCEFS5HMLFSXJ22AW/action/author_attestation","sign_citation":"https://pith.science/pith/KJRBWC3TFHCEFS5HMLFSXJ22AW/action/citation_signature","submit_replication":"https://pith.science/pith/KJRBWC3TFHCEFS5HMLFSXJ22AW/action/replication_record"}},"created_at":"2026-07-05T05:35:05.501911+00:00","updated_at":"2026-07-05T05:35:05.501911+00:00"}