{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4ESYIIAC7GTGGPCESLE2JUGSSH","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":"4433bcef41cdfd29a47143746a92742caa7aa8e5c3d928bcc85f840334d4075f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-03-09T10:05:10Z","title_canon_sha256":"c35efc8e9e57af5869f1dc14695163d98b4a73f9076105420fe585eab5148957"},"schema_version":"1.0","source":{"id":"2203.04616","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.04616","created_at":"2026-07-05T04:40:51Z"},{"alias_kind":"arxiv_version","alias_value":"2203.04616v2","created_at":"2026-07-05T04:40:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.04616","created_at":"2026-07-05T04:40:51Z"},{"alias_kind":"pith_short_12","alias_value":"4ESYIIAC7GTG","created_at":"2026-07-05T04:40:51Z"},{"alias_kind":"pith_short_16","alias_value":"4ESYIIAC7GTGGPCE","created_at":"2026-07-05T04:40:51Z"},{"alias_kind":"pith_short_8","alias_value":"4ESYIIAC","created_at":"2026-07-05T04:40:51Z"}],"graph_snapshots":[{"event_id":"sha256:2e7dab0d9e06e670e2776f23549b7cbd661b58dbe661dd349c7986d076fb0244","target":"graph","created_at":"2026-07-05T04:40:51Z","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/2203.04616/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Patronizing and condescending language (PCL) has a large harmful impact and is difficult to detect, both for human judges and existing NLP systems. At SemEval-2022 Task 4, we propose a novel Transformer-based model and its ensembles to accurately understand such language context for PCL detection. To facilitate comprehension of the subtle and subjective nature of PCL, two fine-tuning strategies are applied to capture discriminative features from diverse linguistic behaviour and categorical distribution. The system achieves remarkable results on the official ranking, including 1st in Subtask 1 ","authors_text":"Dou Hu, Lianxin Jiang, Meizhi Jin, Mengfei Yuan, Mengyuan Zhou, Xiaofeng Shi, Xiyang Du, Yang Mo","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-03-09T10:05:10Z","title":"PALI-NLP at SemEval-2022 Task 4: Discriminative Fine-tuning of Transformers for Patronizing and Condescending Language Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.04616","kind":"arxiv","version":2},"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":"sha256:9684fc52f617ed53104884ca18e6190170c190f28a89fa83cd747ab3a237e3c3","target":"record","created_at":"2026-07-05T04:40:51Z","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":"4433bcef41cdfd29a47143746a92742caa7aa8e5c3d928bcc85f840334d4075f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-03-09T10:05:10Z","title_canon_sha256":"c35efc8e9e57af5869f1dc14695163d98b4a73f9076105420fe585eab5148957"},"schema_version":"1.0","source":{"id":"2203.04616","kind":"arxiv","version":2}},"canonical_sha256":"e125842002f9a6633c4492c9a4d0d291d0b6b862b8ac4e870424d5cb68adf9dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e125842002f9a6633c4492c9a4d0d291d0b6b862b8ac4e870424d5cb68adf9dd","first_computed_at":"2026-07-05T04:40:51.179944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:40:51.179944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Een33QosYPGyNgcGpf6Hs7Qj1Fyopz0vq0ZJn81vw12u+6w+QuYfhLve6XUX1D06c/b/Vh7dHO/erztH5c4qDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:40:51.180443Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.04616","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9684fc52f617ed53104884ca18e6190170c190f28a89fa83cd747ab3a237e3c3","sha256:2e7dab0d9e06e670e2776f23549b7cbd661b58dbe661dd349c7986d076fb0244"],"state_sha256":"c56a265c98ac52b66668a0638516ea43d2b992f00d181f104f57b072794cb777"}