{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KJHD6PP65DINNIXY2C5NZK57TF","short_pith_number":"pith:KJHD6PP6","canonical_record":{"source":{"id":"2507.19264","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:39:34Z","cross_cats_sorted":[],"title_canon_sha256":"7bd21128b3368d3632f375e7d7ac6b6542f3332b17952eea8dbc9dab28841e58","abstract_canon_sha256":"af07df97fd097d93c23d82cbc141b07be7c0083658f61ca1e52123a7fea37b9a"},"schema_version":"1.0"},"canonical_sha256":"524e3f3dfee8d0d6a2f8d0badcabbf99732629bed4686f8311faa0f632fd49b9","source":{"kind":"arxiv","id":"2507.19264","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19264","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19264v2","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19264","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"pith_short_12","alias_value":"KJHD6PP65DIN","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"pith_short_16","alias_value":"KJHD6PP65DINNIXY","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"pith_short_8","alias_value":"KJHD6PP6","created_at":"2026-07-05T11:49:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KJHD6PP65DINNIXY2C5NZK57TF","target":"record","payload":{"canonical_record":{"source":{"id":"2507.19264","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:39:34Z","cross_cats_sorted":[],"title_canon_sha256":"7bd21128b3368d3632f375e7d7ac6b6542f3332b17952eea8dbc9dab28841e58","abstract_canon_sha256":"af07df97fd097d93c23d82cbc141b07be7c0083658f61ca1e52123a7fea37b9a"},"schema_version":"1.0"},"canonical_sha256":"524e3f3dfee8d0d6a2f8d0badcabbf99732629bed4686f8311faa0f632fd49b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:34.126174Z","signature_b64":"9KnyipEuF4/O8MqEIwQGOnpTYOL8eFZMOUtVzINVxnga8UgTbbS3ThiJqeKWPKIRssEoD6LJO09s0HuAqa1uBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"524e3f3dfee8d0d6a2f8d0badcabbf99732629bed4686f8311faa0f632fd49b9","last_reissued_at":"2026-07-05T11:49:34.125669Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:34.125669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.19264","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:49:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"13p1CFpC0MWviWKjMxq5ciTEGAGSi4GMK8JrlGodQb5hRLtUdAIJSK1sb9n6ifXpxJXjwb6bevTcp9eSsC40Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T13:46:01.499514Z"},"content_sha256":"d9c2737a6664ce1f6d7ce3f90b41ae6ee2d8a9d8be25f91c684509ea7ce3418b","schema_version":"1.0","event_id":"sha256:d9c2737a6664ce1f6d7ce3f90b41ae6ee2d8a9d8be25f91c684509ea7ce3418b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KJHD6PP65DINNIXY2C5NZK57TF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chen Chen, Jungong Han, Sijie Li","submitted_at":"2025-07-25T13:39:34Z","abstract_excerpt":"In this paper, we propose SimMLM, a simple yet powerful framework for multimodal learning with missing modalities. Unlike existing approaches that rely on sophisticated network architectures or complex data imputation techniques, SimMLM provides a generic and effective solution that can adapt to various missing modality scenarios with improved accuracy and robustness. Specifically, SimMLM consists of a generic Dynamic Mixture of Modality Experts (DMoME) architecture, featuring a dynamic, learnable gating mechanism that automatically adjusts each modality's contribution in both full and partial"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19264","kind":"arxiv","version":2},"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/2507.19264/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":"2026-07-05T11:49:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uLCaeV+lio3DfgVrQbJ3CxQKhGiD5Rg606UF36sgqXN6aNkEd3vejYonDGMmM9cCMzwISGYwDEWurPcOaXd4CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T13:46:01.500699Z"},"content_sha256":"27338545433b3f5c970ad5fe17f1b4e0a613826412607aab749580d56f8df43c","schema_version":"1.0","event_id":"sha256:27338545433b3f5c970ad5fe17f1b4e0a613826412607aab749580d56f8df43c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KJHD6PP65DINNIXY2C5NZK57TF/bundle.json","state_url":"https://pith.science/pith/KJHD6PP65DINNIXY2C5NZK57TF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KJHD6PP65DINNIXY2C5NZK57TF/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":"2026-08-10T13:46:01Z","links":{"resolver":"https://pith.science/pith/KJHD6PP65DINNIXY2C5NZK57TF","bundle":"https://pith.science/pith/KJHD6PP65DINNIXY2C5NZK57TF/bundle.json","state":"https://pith.science/pith/KJHD6PP65DINNIXY2C5NZK57TF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KJHD6PP65DINNIXY2C5NZK57TF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KJHD6PP65DINNIXY2C5NZK57TF","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":"af07df97fd097d93c23d82cbc141b07be7c0083658f61ca1e52123a7fea37b9a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:39:34Z","title_canon_sha256":"7bd21128b3368d3632f375e7d7ac6b6542f3332b17952eea8dbc9dab28841e58"},"schema_version":"1.0","source":{"id":"2507.19264","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19264","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19264v2","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19264","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"pith_short_12","alias_value":"KJHD6PP65DIN","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"pith_short_16","alias_value":"KJHD6PP65DINNIXY","created_at":"2026-07-05T11:49:34Z"},{"alias_kind":"pith_short_8","alias_value":"KJHD6PP6","created_at":"2026-07-05T11:49:34Z"}],"graph_snapshots":[{"event_id":"sha256:27338545433b3f5c970ad5fe17f1b4e0a613826412607aab749580d56f8df43c","target":"graph","created_at":"2026-07-05T11:49:34Z","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/2507.19264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose SimMLM, a simple yet powerful framework for multimodal learning with missing modalities. Unlike existing approaches that rely on sophisticated network architectures or complex data imputation techniques, SimMLM provides a generic and effective solution that can adapt to various missing modality scenarios with improved accuracy and robustness. Specifically, SimMLM consists of a generic Dynamic Mixture of Modality Experts (DMoME) architecture, featuring a dynamic, learnable gating mechanism that automatically adjusts each modality's contribution in both full and partial","authors_text":"Chen Chen, Jungong Han, Sijie Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:39:34Z","title":"SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19264","kind":"arxiv","version":2},"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:d9c2737a6664ce1f6d7ce3f90b41ae6ee2d8a9d8be25f91c684509ea7ce3418b","target":"record","created_at":"2026-07-05T11:49:34Z","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":"af07df97fd097d93c23d82cbc141b07be7c0083658f61ca1e52123a7fea37b9a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-25T13:39:34Z","title_canon_sha256":"7bd21128b3368d3632f375e7d7ac6b6542f3332b17952eea8dbc9dab28841e58"},"schema_version":"1.0","source":{"id":"2507.19264","kind":"arxiv","version":2}},"canonical_sha256":"524e3f3dfee8d0d6a2f8d0badcabbf99732629bed4686f8311faa0f632fd49b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"524e3f3dfee8d0d6a2f8d0badcabbf99732629bed4686f8311faa0f632fd49b9","first_computed_at":"2026-07-05T11:49:34.125669Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:34.125669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9KnyipEuF4/O8MqEIwQGOnpTYOL8eFZMOUtVzINVxnga8UgTbbS3ThiJqeKWPKIRssEoD6LJO09s0HuAqa1uBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:34.126174Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.19264","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9c2737a6664ce1f6d7ce3f90b41ae6ee2d8a9d8be25f91c684509ea7ce3418b","sha256:27338545433b3f5c970ad5fe17f1b4e0a613826412607aab749580d56f8df43c"],"state_sha256":"f7c30457248b50929b6f4e792889963ba3fd97b966a39cfa2855601441c8a75e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YU+GpyhoqJqgfNyce3C0zayUX8ZMSPRODvai/r9IxxNZmUNgt6o7VkDxaQWG8FTSj1aP2iHmiUI7lIx0cTYdBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T13:46:01.509244Z","bundle_sha256":"b14448eba3d66fbb4fbedf077d8c68778744b81d187e268547521445e814878a"}}