{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:HBZMLH5SW3GXEXI254XTQP75YJ","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":"69f8a15aa21ae19f6f7a58c9678a37a3ced0ef2dfa55dcbc1ac2f209618819e4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-06T12:26:58Z","title_canon_sha256":"a77cc739d684a1b7fd1507b5f97787177ecff415bd659870680feebf00dcf118"},"schema_version":"1.0","source":{"id":"2107.02575","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.02575","created_at":"2026-07-05T02:55:22Z"},{"alias_kind":"arxiv_version","alias_value":"2107.02575v1","created_at":"2026-07-05T02:55:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.02575","created_at":"2026-07-05T02:55:22Z"},{"alias_kind":"pith_short_12","alias_value":"HBZMLH5SW3GX","created_at":"2026-07-05T02:55:22Z"},{"alias_kind":"pith_short_16","alias_value":"HBZMLH5SW3GXEXI2","created_at":"2026-07-05T02:55:22Z"},{"alias_kind":"pith_short_8","alias_value":"HBZMLH5S","created_at":"2026-07-05T02:55:22Z"}],"graph_snapshots":[{"event_id":"sha256:a31ae45542825d7d17f51825a3f8c58938955da8b3e6f32aea8dc2926ff82d2a","target":"graph","created_at":"2026-07-05T02:55:22Z","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/2107.02575/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes a method for representation learning of multimodal data using contrastive losses. A traditional approach is to contrast different modalities to learn the information shared between them. However, that approach could fail to learn the complementary synergies between modalities that might be useful for downstream tasks. Another approach is to concatenate all the modalities into a tuple and then contrast positive and negative tuple correspondences. However, that approach could consider only the stronger modalities while ignoring the weaker ones. To address these issues, we pro","authors_text":"Hao Dong, Li Yi, Qingnan Fan, Shanghang Zhang, Thomas Funkhouser, Yunze Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-06T12:26:58Z","title":"Contrastive Multimodal Fusion with TupleInfoNCE"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.02575","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:bc831113f2df329def94b0d7e1bb8df67136957ecda4822a6e406cd07ea5f481","target":"record","created_at":"2026-07-05T02:55:22Z","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":"69f8a15aa21ae19f6f7a58c9678a37a3ced0ef2dfa55dcbc1ac2f209618819e4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-06T12:26:58Z","title_canon_sha256":"a77cc739d684a1b7fd1507b5f97787177ecff415bd659870680feebf00dcf118"},"schema_version":"1.0","source":{"id":"2107.02575","kind":"arxiv","version":1}},"canonical_sha256":"3872c59fb2b6cd725d1aef2f383ffdc278671fca0a9808583fdcb34f33a4e369","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3872c59fb2b6cd725d1aef2f383ffdc278671fca0a9808583fdcb34f33a4e369","first_computed_at":"2026-07-05T02:55:22.186251Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:55:22.186251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XsI2Ceu3CUA1g3910B/bL4IzVbgxbz034vpBprDG5r5Gx+LAiUPytO6vuX9U9bw5NHwx8WLDtayqBpRSf5t2Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T02:55:22.186639Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.02575","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc831113f2df329def94b0d7e1bb8df67136957ecda4822a6e406cd07ea5f481","sha256:a31ae45542825d7d17f51825a3f8c58938955da8b3e6f32aea8dc2926ff82d2a"],"state_sha256":"e35d052289dd9211eef21279d0c9eaf81ff2f30802e5a57459f5c37efb206098"}