{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:E6YSOCKHODTNRBZDCFOQYGL5ZP","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":"a3a93a667056b0333e31d1c6e7abbe4ca3d843c85ac7486405c5b5e1b5d789a5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-30T10:34:08Z","title_canon_sha256":"bbbd8195d38e8a05add69d4d9091d8b9be2b52ed071302025e926aa072147901"},"schema_version":"1.0","source":{"id":"2211.16883","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.16883","created_at":"2026-07-05T05:21:12Z"},{"alias_kind":"arxiv_version","alias_value":"2211.16883v1","created_at":"2026-07-05T05:21:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.16883","created_at":"2026-07-05T05:21:12Z"},{"alias_kind":"pith_short_12","alias_value":"E6YSOCKHODTN","created_at":"2026-07-05T05:21:12Z"},{"alias_kind":"pith_short_16","alias_value":"E6YSOCKHODTNRBZD","created_at":"2026-07-05T05:21:12Z"},{"alias_kind":"pith_short_8","alias_value":"E6YSOCKH","created_at":"2026-07-05T05:21:12Z"}],"graph_snapshots":[{"event_id":"sha256:cb00de69b3954844165b7157ace13069b46dd8bf5aa2f73888722df0e04e5d31","target":"graph","created_at":"2026-07-05T05:21:12Z","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/2211.16883/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting sarcasm and verbal irony from people's subjective statements is crucial to understanding their intended meanings and real sentiments and positions in social scenarios. This paper describes the X-PuDu system that participated in SemEval-2022 Task 6, iSarcasmEval - Intended Sarcasm Detection in English and Arabic, which aims at detecting intended sarcasm in various settings of natural language understanding. Our solution finetunes pre-trained language models, such as ERNIE-M and DeBERTa, under the multilingual settings to recognize the irony from Arabic and English texts. Our system ra","authors_text":"Guanghao Chen, Hongyi Huang, Shuohuan Wang, Yang Yang, Yaqian Han, Yekun Chai, Yitong Xu, Yu Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-30T10:34:08Z","title":"X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.16883","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":"sha256:6b09b818f98f7affff87652357857616a6d452adaca8ffae8da83990675b9983","target":"record","created_at":"2026-07-05T05:21:12Z","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":"a3a93a667056b0333e31d1c6e7abbe4ca3d843c85ac7486405c5b5e1b5d789a5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-30T10:34:08Z","title_canon_sha256":"bbbd8195d38e8a05add69d4d9091d8b9be2b52ed071302025e926aa072147901"},"schema_version":"1.0","source":{"id":"2211.16883","kind":"arxiv","version":1}},"canonical_sha256":"27b127094770e6d88723115d0c197dcbeca79991283e0293bf91bf7623a19046","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27b127094770e6d88723115d0c197dcbeca79991283e0293bf91bf7623a19046","first_computed_at":"2026-07-05T05:21:12.541732Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:21:12.541732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UyO0jmgnW/HCTsyRlpwc9pzUb5OrYQdXJj73ZRESRKBbNayqDMGkO6XlC4mepE+y5xmmMs0rJmeKP1rCTyXqCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:21:12.542132Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.16883","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b09b818f98f7affff87652357857616a6d452adaca8ffae8da83990675b9983","sha256:cb00de69b3954844165b7157ace13069b46dd8bf5aa2f73888722df0e04e5d31"],"state_sha256":"25aa33d27f63ac4dab84e5f8d342a8e185c21b37951848f4e7e1cc6216716b83"}