{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:IEDBZ7WAZOFGH7WKPEMCLPLEMM","short_pith_number":"pith:IEDBZ7WA","canonical_record":{"source":{"id":"2210.15824","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2022-10-28T01:25:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"87fd631c151362080020e363c6e2cc5fa421871eddd3f8e83690e711d196911c","abstract_canon_sha256":"2eff9e3b117499c74f55d705088dae3c9f7b7e5234f98188f39bf126793e5ff1"},"schema_version":"1.0"},"canonical_sha256":"41061cfec0cb8a63feca791825bd64632f558d86db626ba786f808f814a27312","source":{"kind":"arxiv","id":"2210.15824","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15824","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15824v3","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15824","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"pith_short_12","alias_value":"IEDBZ7WAZOFG","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"pith_short_16","alias_value":"IEDBZ7WAZOFGH7WK","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"pith_short_8","alias_value":"IEDBZ7WA","created_at":"2026-07-05T05:36:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:IEDBZ7WAZOFGH7WKPEMCLPLEMM","target":"record","payload":{"canonical_record":{"source":{"id":"2210.15824","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2022-10-28T01:25:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"87fd631c151362080020e363c6e2cc5fa421871eddd3f8e83690e711d196911c","abstract_canon_sha256":"2eff9e3b117499c74f55d705088dae3c9f7b7e5234f98188f39bf126793e5ff1"},"schema_version":"1.0"},"canonical_sha256":"41061cfec0cb8a63feca791825bd64632f558d86db626ba786f808f814a27312","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:36:31.910479Z","signature_b64":"W9erpNiW4K+eMjyDM80W611KFJIF//zCQPjnD3fHJAeWtAGaHevLLLYTCLaFRCH0DPMtAbVwBHZFgV4gXIEvAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41061cfec0cb8a63feca791825bd64632f558d86db626ba786f808f814a27312","last_reissued_at":"2026-07-05T05:36:31.909995Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:36:31.909995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.15824","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:36:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fNVwacCGJEFkhP6GgV0Q4Jnnc0K2LtgV0I+EJBH27dIglxxNa0KbG01hQslr7A1eZyqGE9JAnpShcPuaIw8mAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T08:26:38.832961Z"},"content_sha256":"ac383e4c5e25cc1caf7497eb997c557fad4374a6b46d79b0af32d39e983da504","schema_version":"1.0","event_id":"sha256:ac383e4c5e25cc1caf7497eb997c557fad4374a6b46d79b0af32d39e983da504"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:IEDBZ7WAZOFGH7WKPEMCLPLEMM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.MM","authors_text":"Hong Li, Hongsong Zhu, Jie Liu, Limin Sun, Peipei Liu, Xin Zheng, Yimo Ren","submitted_at":"2022-10-28T01:25:16Z","abstract_excerpt":"Modality representation learning is an important problem for multimodal sentiment analysis (MSA), since the highly distinguishable representations can contribute to improving the analysis effect. Previous works of MSA have usually focused on multimodal fusion strategies, and the deep study of modal representation learning was given less attention. Recently, contrastive learning has been confirmed effective at endowing the learned representation with stronger discriminate ability. Inspired by this, we explore the improvement approaches of modality representation with contrastive learning in thi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15824","kind":"arxiv","version":3},"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/2210.15824/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:36:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V4Z7x3QdJmgOj/ZKAR907L9Gb5Z+Bhflyg5CTGWDwaa3WdfqZQVmzR16m31E7aOJUXy3zKZgWjdraPlY7pd5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T08:26:38.833331Z"},"content_sha256":"e4b8e0e91813f075e0bfb42280873aa9390c8f97cec0495d25b6e0ce88b7373d","schema_version":"1.0","event_id":"sha256:e4b8e0e91813f075e0bfb42280873aa9390c8f97cec0495d25b6e0ce88b7373d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IEDBZ7WAZOFGH7WKPEMCLPLEMM/bundle.json","state_url":"https://pith.science/pith/IEDBZ7WAZOFGH7WKPEMCLPLEMM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IEDBZ7WAZOFGH7WKPEMCLPLEMM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-15T08:26:38Z","links":{"resolver":"https://pith.science/pith/IEDBZ7WAZOFGH7WKPEMCLPLEMM","bundle":"https://pith.science/pith/IEDBZ7WAZOFGH7WKPEMCLPLEMM/bundle.json","state":"https://pith.science/pith/IEDBZ7WAZOFGH7WKPEMCLPLEMM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IEDBZ7WAZOFGH7WKPEMCLPLEMM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IEDBZ7WAZOFGH7WKPEMCLPLEMM","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":"2eff9e3b117499c74f55d705088dae3c9f7b7e5234f98188f39bf126793e5ff1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2022-10-28T01:25:16Z","title_canon_sha256":"87fd631c151362080020e363c6e2cc5fa421871eddd3f8e83690e711d196911c"},"schema_version":"1.0","source":{"id":"2210.15824","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15824","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15824v3","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15824","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"pith_short_12","alias_value":"IEDBZ7WAZOFG","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"pith_short_16","alias_value":"IEDBZ7WAZOFGH7WK","created_at":"2026-07-05T05:36:31Z"},{"alias_kind":"pith_short_8","alias_value":"IEDBZ7WA","created_at":"2026-07-05T05:36:31Z"}],"graph_snapshots":[{"event_id":"sha256:e4b8e0e91813f075e0bfb42280873aa9390c8f97cec0495d25b6e0ce88b7373d","target":"graph","created_at":"2026-07-05T05:36:31Z","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/2210.15824/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modality representation learning is an important problem for multimodal sentiment analysis (MSA), since the highly distinguishable representations can contribute to improving the analysis effect. Previous works of MSA have usually focused on multimodal fusion strategies, and the deep study of modal representation learning was given less attention. Recently, contrastive learning has been confirmed effective at endowing the learned representation with stronger discriminate ability. Inspired by this, we explore the improvement approaches of modality representation with contrastive learning in thi","authors_text":"Hong Li, Hongsong Zhu, Jie Liu, Limin Sun, Peipei Liu, Xin Zheng, Yimo Ren","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2022-10-28T01:25:16Z","title":"Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15824","kind":"arxiv","version":3},"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:ac383e4c5e25cc1caf7497eb997c557fad4374a6b46d79b0af32d39e983da504","target":"record","created_at":"2026-07-05T05:36:31Z","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":"2eff9e3b117499c74f55d705088dae3c9f7b7e5234f98188f39bf126793e5ff1","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2022-10-28T01:25:16Z","title_canon_sha256":"87fd631c151362080020e363c6e2cc5fa421871eddd3f8e83690e711d196911c"},"schema_version":"1.0","source":{"id":"2210.15824","kind":"arxiv","version":3}},"canonical_sha256":"41061cfec0cb8a63feca791825bd64632f558d86db626ba786f808f814a27312","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41061cfec0cb8a63feca791825bd64632f558d86db626ba786f808f814a27312","first_computed_at":"2026-07-05T05:36:31.909995Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:36:31.909995Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W9erpNiW4K+eMjyDM80W611KFJIF//zCQPjnD3fHJAeWtAGaHevLLLYTCLaFRCH0DPMtAbVwBHZFgV4gXIEvAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:36:31.910479Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.15824","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac383e4c5e25cc1caf7497eb997c557fad4374a6b46d79b0af32d39e983da504","sha256:e4b8e0e91813f075e0bfb42280873aa9390c8f97cec0495d25b6e0ce88b7373d"],"state_sha256":"995abe52a6e79e3868e7c4bb589bc1a732dc31b5109b24f060022996aa7b1749"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RHebTaTF+DfuAkmkyCkVHoDqgN4dV/19C2YhPcWYsRpMThpZNEv9m+R0B31cV2pU6Me+YJeR6JBdmfems/CIDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-15T08:26:38.835355Z","bundle_sha256":"440ce18506aebe9f32eaefd6be97d029f7e4994a5541475bec0b601b2a4eb27b"}}