{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XQLLW4TABOXCKQ7NIZEDHWFO4I","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":"6631cc75a4acd09dadd934766c999e0807b0467e4041281e5fcbc2b0828844b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-01T10:29:36Z","title_canon_sha256":"c1aade65d300c5c8612ca89d847c7b3e1950bd30fb6ea8d81a0c5b3f8a5dd769"},"schema_version":"1.0","source":{"id":"2412.00756","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00756","created_at":"2026-07-05T09:45:59Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00756v2","created_at":"2026-07-05T09:45:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00756","created_at":"2026-07-05T09:45:59Z"},{"alias_kind":"pith_short_12","alias_value":"XQLLW4TABOXC","created_at":"2026-07-05T09:45:59Z"},{"alias_kind":"pith_short_16","alias_value":"XQLLW4TABOXCKQ7N","created_at":"2026-07-05T09:45:59Z"},{"alias_kind":"pith_short_8","alias_value":"XQLLW4TA","created_at":"2026-07-05T09:45:59Z"}],"graph_snapshots":[{"event_id":"sha256:4e86cbf90d9597645f6cd66b248d32edac1cd5e0eb9dbea1b317bd2f1e668c0e","target":"graph","created_at":"2026-07-05T09:45:59Z","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/2412.00756/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal sarcasm detection (MSD) is essential for various downstream tasks. Existing MSD methods tend to rely on spurious correlations. These methods often mistakenly prioritize non-essential features yet still make correct predictions, demonstrating poor generalizability beyond training environments. Regarding this phenomenon, this paper undertakes several initiatives. Firstly, we identify two primary causes that lead to the reliance of spurious correlations. Secondly, we address these challenges by proposing a novel method that integrate Multimodal Incongruities via Contrastive Learning (M","authors_text":"Cong Cao, Diandian Guo, Fangfang Yuan, Guangjie Zeng, Hao Peng, Philip S. Yu, Xiaoyan Yu, Yanbing Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-01T10:29:36Z","title":"Multi-View Incongruity Learning for Multimodal Sarcasm Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00756","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:c84a9b0ba5f1a09733ffbcf6d4d4b6c465fd182ffde6c787431ca2298694bd85","target":"record","created_at":"2026-07-05T09:45:59Z","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":"6631cc75a4acd09dadd934766c999e0807b0467e4041281e5fcbc2b0828844b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-12-01T10:29:36Z","title_canon_sha256":"c1aade65d300c5c8612ca89d847c7b3e1950bd30fb6ea8d81a0c5b3f8a5dd769"},"schema_version":"1.0","source":{"id":"2412.00756","kind":"arxiv","version":2}},"canonical_sha256":"bc16bb72600bae2543ed464833d8aee22bd375a0bb7ff5f680670e22d8945616","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc16bb72600bae2543ed464833d8aee22bd375a0bb7ff5f680670e22d8945616","first_computed_at":"2026-07-05T09:45:59.278095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:45:59.278095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ypCKhsGWT8CiAjjEzldpuGPm/pfLU98gtsIsxVegdTMLAIUf7DWqHiTWPORkOI0oLJ7Oy2gqM2LElpnkEQHhDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:45:59.278587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00756","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c84a9b0ba5f1a09733ffbcf6d4d4b6c465fd182ffde6c787431ca2298694bd85","sha256:4e86cbf90d9597645f6cd66b248d32edac1cd5e0eb9dbea1b317bd2f1e668c0e"],"state_sha256":"d1127d1a25574c71bc4f32dc8a9b10177c7f81518acff37111c991f0a210e5e3"}