{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4X3WQOD6OJFIJCK3IUGCAQVP4N","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":"9e051e4920a0e4529ead711cdcf00958b31fee8a9812738faf36b1201c280f91","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-15T09:24:48Z","title_canon_sha256":"c2a70bad0cb2e8885474695859bce13f2ac8ff568d71f9edcdcaf4600599ed9b"},"schema_version":"1.0","source":{"id":"2305.08473","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.08473","created_at":"2026-07-05T07:57:40Z"},{"alias_kind":"arxiv_version","alias_value":"2305.08473v2","created_at":"2026-07-05T07:57:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.08473","created_at":"2026-07-05T07:57:40Z"},{"alias_kind":"pith_short_12","alias_value":"4X3WQOD6OJFI","created_at":"2026-07-05T07:57:40Z"},{"alias_kind":"pith_short_16","alias_value":"4X3WQOD6OJFIJCK3","created_at":"2026-07-05T07:57:40Z"},{"alias_kind":"pith_short_8","alias_value":"4X3WQOD6","created_at":"2026-07-05T07:57:40Z"}],"graph_snapshots":[{"event_id":"sha256:566065003c893dc612c4a94565b2307d46075d2c96bc86986d184752f499d12a","target":"graph","created_at":"2026-07-05T07:57:40Z","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/2305.08473/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing an effective representation learning method for multimodal sentiment analysis tasks is a crucial research direction. The challenge lies in learning both shared and private information in a complete modal representation, which is difficult with uniform multimodal labels and a raw feature fusion approach. In this work, we propose a deep modal shared information learning module based on the covariance matrix to capture the shared information between modalities. Additionally, we use a label generation module based on a self-supervised learning strategy to capture the private information ","authors_text":"Chun Wan, Danmin Miao, Guinan Guo, Jiakang Li, Songning Lai, Xifeng Hu, Yuan Tan, Yulong Li, Yutong Liu, Zhaoxia Ren, Zhi Liu, Zichen Song","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-15T09:24:48Z","title":"Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.08473","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:a1f2c957a43b0b74cfac38c85a8739ae5d8486b855d014adb9122b1d5ea5560a","target":"record","created_at":"2026-07-05T07:57:40Z","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":"9e051e4920a0e4529ead711cdcf00958b31fee8a9812738faf36b1201c280f91","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-15T09:24:48Z","title_canon_sha256":"c2a70bad0cb2e8885474695859bce13f2ac8ff568d71f9edcdcaf4600599ed9b"},"schema_version":"1.0","source":{"id":"2305.08473","kind":"arxiv","version":2}},"canonical_sha256":"e5f768387e724a84895b450c2042afe34ad8862bfa492048884b4150422a7662","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5f768387e724a84895b450c2042afe34ad8862bfa492048884b4150422a7662","first_computed_at":"2026-07-05T07:57:40.457965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:57:40.457965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bWdrRvePzeG3ORpfCmQZ9rfDZXtbdxLZUUeUpgGUKYkIdpXMirZLgLuRa0nOVu9cqoQ4K0EIYx8fX37q3EccBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:57:40.458386Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.08473","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1f2c957a43b0b74cfac38c85a8739ae5d8486b855d014adb9122b1d5ea5560a","sha256:566065003c893dc612c4a94565b2307d46075d2c96bc86986d184752f499d12a"],"state_sha256":"c7b70c5c8247ccd62392a76bb4367b9b873c04074528b4f619889fb2edc9fcc3"}