{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:P6UJR3GIVNQQVY7PFE6Q4RS7VI","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":"8219ae2cf96ce296af625968c739e3ba5449b963cb9632a74d53e482d828141f","cross_cats_sorted":["cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T15:53:13Z","title_canon_sha256":"c9d45315b005de5ac77cb245043a754277461cc872398e9407b47c5c04d98ff6"},"schema_version":"1.0","source":{"id":"2412.08489","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08489","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08489v1","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08489","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_12","alias_value":"P6UJR3GIVNQQ","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_16","alias_value":"P6UJR3GIVNQQVY7P","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_8","alias_value":"P6UJR3GI","created_at":"2026-07-05T09:47:51Z"}],"graph_snapshots":[{"event_id":"sha256:5d290bbb182d7308fb795fcca93a93fa49a9d13a60203710a1b6b1ad5bc7ef2e","target":"graph","created_at":"2026-07-05T09:47:51Z","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/2412.08489/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal Aspect-Based Sentiment Analysis (MABSA) combines text and images to perform sentiment analysis but often struggles with irrelevant or misleading visual information. Existing methodologies typically address either sentence-image denoising or aspect-image denoising but fail to comprehensively tackle both types of noise. To address these limitations, we propose DualDe, a novel approach comprising two distinct components: the Hybrid Curriculum Denoising Module (HCD) and the Aspect-Enhance Denoising Module (AED). The HCD module enhances sentence-image denoising by incorporating a flexibl","authors_text":"Cam-Van Thi Nguyen, Dat Tran Nguyen, Nguyen Van Doan","cross_cats":["cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T15:53:13Z","title":"A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08489","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":"sha256:4f896aa4edf9a229246ad6c28e8b784984342f047e3b9f908109ee7a07c9d6fd","target":"record","created_at":"2026-07-05T09:47:51Z","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":"8219ae2cf96ce296af625968c739e3ba5449b963cb9632a74d53e482d828141f","cross_cats_sorted":["cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T15:53:13Z","title_canon_sha256":"c9d45315b005de5ac77cb245043a754277461cc872398e9407b47c5c04d98ff6"},"schema_version":"1.0","source":{"id":"2412.08489","kind":"arxiv","version":1}},"canonical_sha256":"7fa898ecc8ab610ae3ef293d0e465faa3a85c92a5cbf636cc0c8488672983732","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7fa898ecc8ab610ae3ef293d0e465faa3a85c92a5cbf636cc0c8488672983732","first_computed_at":"2026-07-05T09:47:51.030754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:51.030754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5rTmTf8yliVzWTYcPC0rTEFK1rFUOY+Bz7ZdcSVecd66dZF5GbIAL7uScVSNjvb6UcDuXVqSgOqtTPQskBTeAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:51.031101Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08489","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f896aa4edf9a229246ad6c28e8b784984342f047e3b9f908109ee7a07c9d6fd","sha256:5d290bbb182d7308fb795fcca93a93fa49a9d13a60203710a1b6b1ad5bc7ef2e"],"state_sha256":"e0396150e60b4cdbcc5fbfe234d3fa01a372750024f7f6d1bacad9b794f4356b"}