{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:B2ADVJ4FA7D34RPVLTB6BSDTZG","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":"ab66e74b68180d9b33c2f5022a3262329e698ac1d8746c66a7e1bd49f570e246","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-18T05:07:20Z","title_canon_sha256":"61d10e6a97dd5a4380b0913ea74ca14cf6cf267094bd39e240a885c7c4f5fbab"},"schema_version":"1.0","source":{"id":"2504.13465","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.13465","created_at":"2026-07-05T10:50:55Z"},{"alias_kind":"arxiv_version","alias_value":"2504.13465v1","created_at":"2026-07-05T10:50:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.13465","created_at":"2026-07-05T10:50:55Z"},{"alias_kind":"pith_short_12","alias_value":"B2ADVJ4FA7D3","created_at":"2026-07-05T10:50:55Z"},{"alias_kind":"pith_short_16","alias_value":"B2ADVJ4FA7D34RPV","created_at":"2026-07-05T10:50:55Z"},{"alias_kind":"pith_short_8","alias_value":"B2ADVJ4F","created_at":"2026-07-05T10:50:55Z"}],"graph_snapshots":[{"event_id":"sha256:ad2219a03d3ffc7d36843b8e3fea327f2f65abeb794ff0bb196a073b25ea6841","target":"graph","created_at":"2026-07-05T10:50:55Z","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/2504.13465/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal learning has demonstrated incredible successes by integrating diverse data sources, yet it often relies on the availability of all modalities - an assumption that rarely holds in real-world applications. Pretrained multimodal models, while effective, struggle when confronted with small-scale and incomplete datasets (i.e., missing modalities), limiting their practical applicability. Previous studies on reconstructing missing modalities have overlooked the reconstruction's potential unreliability, which could compromise the quality of the final outputs. We present SURE (Scalable Uncer","authors_text":"Duy A. Nguyen, Khoa D. Doan, Minh N. Do, Quan Huu Do","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-18T05:07:20Z","title":"Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.13465","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":"sha256:279530a4d788f34f12b6221d310a69062a8c806dca46c1aeb8e369961b2d901b","target":"record","created_at":"2026-07-05T10:50:55Z","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":"ab66e74b68180d9b33c2f5022a3262329e698ac1d8746c66a7e1bd49f570e246","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-18T05:07:20Z","title_canon_sha256":"61d10e6a97dd5a4380b0913ea74ca14cf6cf267094bd39e240a885c7c4f5fbab"},"schema_version":"1.0","source":{"id":"2504.13465","kind":"arxiv","version":1}},"canonical_sha256":"0e803aa78507c7be45f55cc3e0c873c996cff083b1d508720bc7a201c9ee31eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e803aa78507c7be45f55cc3e0c873c996cff083b1d508720bc7a201c9ee31eb","first_computed_at":"2026-07-05T10:50:55.694197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:55.694197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Emw4ZgChI6TP8rZgzic9htkNh4uQoWV5Xlb2P/XRssksFC+K3Y+ztoN/0f+22QqvtT4+9sPH1eCQGmUV6RF+Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:55.694822Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.13465","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:279530a4d788f34f12b6221d310a69062a8c806dca46c1aeb8e369961b2d901b","sha256:ad2219a03d3ffc7d36843b8e3fea327f2f65abeb794ff0bb196a073b25ea6841"],"state_sha256":"3ca3df227e4461bb41f383405fe072014b470f6c4c67d0bbae7fac4684d678b6"}