{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:Z6TFGAXD2KUHTUMCYNRXESOABU","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":"b1c95e8bc90ee40a4e0206382f301f67e9b5d167e848ac792cbb8f0010f7ef11","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-28T08:07:13Z","title_canon_sha256":"d419b36de5f5542caf18af1ce4b3240d463e951291daaa97f574b25ab848575c"},"schema_version":"1.0","source":{"id":"2203.14563","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.14563","created_at":"2026-07-05T04:09:06Z"},{"alias_kind":"arxiv_version","alias_value":"2203.14563v1","created_at":"2026-07-05T04:09:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14563","created_at":"2026-07-05T04:09:06Z"},{"alias_kind":"pith_short_12","alias_value":"Z6TFGAXD2KUH","created_at":"2026-07-05T04:09:06Z"},{"alias_kind":"pith_short_16","alias_value":"Z6TFGAXD2KUHTUMC","created_at":"2026-07-05T04:09:06Z"},{"alias_kind":"pith_short_8","alias_value":"Z6TFGAXD","created_at":"2026-07-05T04:09:06Z"}],"graph_snapshots":[{"event_id":"sha256:b514b7d3c65b05a2f1ce6e3ebeb36a456f7c132da315fdfe738c66ee5441cf80","target":"graph","created_at":"2026-07-05T04:09:06Z","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/2203.14563/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An audience's prior beliefs and morals are strong indicators of how likely they will be affected by a given argument. Utilizing such knowledge can help focus on shared values to bring disagreeing parties towards agreement. In argumentation technology, however, this is barely exploited so far. This paper studies the feasibility of automatically generating morally framed arguments as well as their effect on different audiences. Following the moral foundation theory, we propose a system that effectively generates arguments focusing on different morals. In an in-depth user study, we ask liberals a","authors_text":"Henning Wachsmuth, Milad Alshomary, Roxanne El Baff, Timon Gurcke","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-28T08:07:13Z","title":"The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14563","kind":"arxiv","version":1},"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":"sha256:432f044d674462b176281e0c069c6765dc4ad1524b443ec7933dd7bc7ab54e88","target":"record","created_at":"2026-07-05T04:09:06Z","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":"b1c95e8bc90ee40a4e0206382f301f67e9b5d167e848ac792cbb8f0010f7ef11","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-28T08:07:13Z","title_canon_sha256":"d419b36de5f5542caf18af1ce4b3240d463e951291daaa97f574b25ab848575c"},"schema_version":"1.0","source":{"id":"2203.14563","kind":"arxiv","version":1}},"canonical_sha256":"cfa65302e3d2a879d182c3637249c00d1442bfec99487dbc938244a7ee596879","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cfa65302e3d2a879d182c3637249c00d1442bfec99487dbc938244a7ee596879","first_computed_at":"2026-07-05T04:09:06.468413Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:06.468413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hzWj5lgUg40ylVJRv4cqC+HfOrMxDAulLLaeoa9g6ZEyvms9cWdgI7r86F3aWqWnI1EVThGFT0YRdEF32WW/CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:06.468886Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.14563","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:432f044d674462b176281e0c069c6765dc4ad1524b443ec7933dd7bc7ab54e88","sha256:b514b7d3c65b05a2f1ce6e3ebeb36a456f7c132da315fdfe738c66ee5441cf80"],"state_sha256":"33f64a1d8f5ac2ce808212312733ff738c704f7aa17950c4fe5804faca032dc4"}