{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:6OOKWOX55ZKLWCH2EQQHADUAVX","short_pith_number":"pith:6OOKWOX5","schema_version":"1.0","canonical_sha256":"f39cab3afdee54bb08fa2420700e80adedf7e3813a42892f8763fada066dbb41","source":{"kind":"arxiv","id":"2504.15848","version":1},"attestation_state":"computed","paper":{"title":"Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Erik Cambria, Liang He, Luwei Xiao, Qika Lin, Rui Mao, Shuai Zhao, Yanhao Jia","submitted_at":"2025-04-22T12:43:37Z","abstract_excerpt":"Multimodal aspect-based sentiment classification (MASC) is an emerging task due to an increase in user-generated multimodal content on social platforms, aimed at predicting sentiment polarity toward specific aspect targets (i.e., entities or attributes explicitly mentioned in text-image pairs). Despite extensive efforts and significant achievements in existing MASC, substantial gaps remain in understanding fine-grained visual content and the cognitive rationales derived from semantic content and impressions (cognitive interpretations of emotions evoked by image content). In this study, we pres"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2504.15848","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-04-22T12:43:37Z","cross_cats_sorted":[],"title_canon_sha256":"f7da9b91a536b3bede65ae017ff37292179dd8a489f9b6b3ab7d4cd138627816","abstract_canon_sha256":"29ceaef609ce58af12c99fa12372e02ebef5fd042afd90303ea7b8d02c8ca0af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:52:30.967755Z","signature_b64":"qgP7PULkix0bHk7jAk4J1crJg3YfrgbtWquwroLyHkSVDkNzIB/WDw1pA5cMAE6a/pWpEeNSqYKMAtczOQcPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f39cab3afdee54bb08fa2420700e80adedf7e3813a42892f8763fada066dbb41","last_reissued_at":"2026-07-05T10:52:30.967334Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:52:30.967334Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Erik Cambria, Liang He, Luwei Xiao, Qika Lin, Rui Mao, Shuai Zhao, Yanhao Jia","submitted_at":"2025-04-22T12:43:37Z","abstract_excerpt":"Multimodal aspect-based sentiment classification (MASC) is an emerging task due to an increase in user-generated multimodal content on social platforms, aimed at predicting sentiment polarity toward specific aspect targets (i.e., entities or attributes explicitly mentioned in text-image pairs). Despite extensive efforts and significant achievements in existing MASC, substantial gaps remain in understanding fine-grained visual content and the cognitive rationales derived from semantic content and impressions (cognitive interpretations of emotions evoked by image content). In this study, we pres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15848","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2504.15848/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2504.15848","created_at":"2026-07-05T10:52:30.967392+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.15848v1","created_at":"2026-07-05T10:52:30.967392+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15848","created_at":"2026-07-05T10:52:30.967392+00:00"},{"alias_kind":"pith_short_12","alias_value":"6OOKWOX55ZKL","created_at":"2026-07-05T10:52:30.967392+00:00"},{"alias_kind":"pith_short_16","alias_value":"6OOKWOX55ZKLWCH2","created_at":"2026-07-05T10:52:30.967392+00:00"},{"alias_kind":"pith_short_8","alias_value":"6OOKWOX5","created_at":"2026-07-05T10:52:30.967392+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX","json":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX.json","graph_json":"https://pith.science/api/pith-number/6OOKWOX55ZKLWCH2EQQHADUAVX/graph.json","events_json":"https://pith.science/api/pith-number/6OOKWOX55ZKLWCH2EQQHADUAVX/events.json","paper":"https://pith.science/paper/6OOKWOX5"},"agent_actions":{"view_html":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX","download_json":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX.json","view_paper":"https://pith.science/paper/6OOKWOX5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.15848&json=true","fetch_graph":"https://pith.science/api/pith-number/6OOKWOX55ZKLWCH2EQQHADUAVX/graph.json","fetch_events":"https://pith.science/api/pith-number/6OOKWOX55ZKLWCH2EQQHADUAVX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX/action/storage_attestation","attest_author":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX/action/author_attestation","sign_citation":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX/action/citation_signature","submit_replication":"https://pith.science/pith/6OOKWOX55ZKLWCH2EQQHADUAVX/action/replication_record"}},"created_at":"2026-07-05T10:52:30.967392+00:00","updated_at":"2026-07-05T10:52:30.967392+00:00"}