{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5LMJ27KYQNM3KYV4PGW64X7WUQ","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":"fa573d9ad62b14b36e568610e43cd9f631d5e37c6887b66b122874fecf692c5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-12-21T06:51:34Z","title_canon_sha256":"7c41f495449e9f1450b4563395678dc0df016f09b7046e52d9ec1a00cad9f747"},"schema_version":"1.0","source":{"id":"2312.13608","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.13608","created_at":"2026-07-05T07:26:47Z"},{"alias_kind":"arxiv_version","alias_value":"2312.13608v1","created_at":"2026-07-05T07:26:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.13608","created_at":"2026-07-05T07:26:47Z"},{"alias_kind":"pith_short_12","alias_value":"5LMJ27KYQNM3","created_at":"2026-07-05T07:26:47Z"},{"alias_kind":"pith_short_16","alias_value":"5LMJ27KYQNM3KYV4","created_at":"2026-07-05T07:26:47Z"},{"alias_kind":"pith_short_8","alias_value":"5LMJ27KY","created_at":"2026-07-05T07:26:47Z"}],"graph_snapshots":[{"event_id":"sha256:56ee30fceee7837c88649d1b8c99c7ecc257ae2c8f78088651e2464ba129524d","target":"graph","created_at":"2026-07-05T07:26:47Z","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/2312.13608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Counter-argument generation -- a captivating area in computational linguistics -- seeks to craft statements that offer opposing views. While most research has ventured into paragraph-level generation, sentence-level counter-argument generation beckons with its unique constraints and brevity-focused challenges. Furthermore, the diverse nature of counter-arguments poses challenges for evaluating model performance solely based on n-gram-based metrics. In this paper, we present the ArgTersely benchmark for sentence-level counter-argument generation, drawing from a manually annotated dataset from t","authors_text":"Jiayu Lin, Meng Han, Qi Zhang, Rong Ye, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhao Cao, Zhongyu Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-12-21T06:51:34Z","title":"Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.13608","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":"sha256:26f2d102b20b10408c90d59491ff428527036ff260d44aa4f361dd64132cee9c","target":"record","created_at":"2026-07-05T07:26:47Z","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":"fa573d9ad62b14b36e568610e43cd9f631d5e37c6887b66b122874fecf692c5f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-12-21T06:51:34Z","title_canon_sha256":"7c41f495449e9f1450b4563395678dc0df016f09b7046e52d9ec1a00cad9f747"},"schema_version":"1.0","source":{"id":"2312.13608","kind":"arxiv","version":1}},"canonical_sha256":"ead89d7d588359b562bc79adee5ff6a41c1cdedd62704fdf068ebf0f1a4ae9ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ead89d7d588359b562bc79adee5ff6a41c1cdedd62704fdf068ebf0f1a4ae9ed","first_computed_at":"2026-07-05T07:26:47.391037Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:47.391037Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5Ai+fBspdcC4Yl+Z4dXUyIDZlgH+uWImm86lVHDdJvEdCWb746I0ZWkBQ/LBBC4e0SLSSNP/i2n8iOzC0ljaCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:47.391559Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.13608","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26f2d102b20b10408c90d59491ff428527036ff260d44aa4f361dd64132cee9c","sha256:56ee30fceee7837c88649d1b8c99c7ecc257ae2c8f78088651e2464ba129524d"],"state_sha256":"a0352078a4821a4c3abaeaeb4d123322a1f8fd0b4eaa9f6740ade4ee77ff0d90"}