{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:6MVV56R35YZ3QW4QDDU5WVS2RX","short_pith_number":"pith:6MVV56R3","canonical_record":{"source":{"id":"2307.13214","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-25T02:55:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b156bce433e1ec143e79e2d798cfa3c9cd46dca0cd304da47256fc6664e2c53d","abstract_canon_sha256":"be23dc065691324e2a388524a716b6d9dbd49aa8388ac44c3270d934ef57851a"},"schema_version":"1.0"},"canonical_sha256":"f32b5efa3bee33b85b9018e9db565a8dd7734f41330d9a0a8466ab0c56f9a5f7","source":{"kind":"arxiv","id":"2307.13214","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.13214","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"arxiv_version","alias_value":"2307.13214v2","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.13214","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"pith_short_12","alias_value":"6MVV56R35YZ3","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"pith_short_16","alias_value":"6MVV56R35YZ3QW4Q","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"pith_short_8","alias_value":"6MVV56R3","created_at":"2026-07-05T07:09:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:6MVV56R35YZ3QW4QDDU5WVS2RX","target":"record","payload":{"canonical_record":{"source":{"id":"2307.13214","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-25T02:55:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b156bce433e1ec143e79e2d798cfa3c9cd46dca0cd304da47256fc6664e2c53d","abstract_canon_sha256":"be23dc065691324e2a388524a716b6d9dbd49aa8388ac44c3270d934ef57851a"},"schema_version":"1.0"},"canonical_sha256":"f32b5efa3bee33b85b9018e9db565a8dd7734f41330d9a0a8466ab0c56f9a5f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:50.915591Z","signature_b64":"WX9EBG9lzm2zZ+aVhCUm5QXY8qrtuvHM0fKc6wyzcxE+ujgFgFRRSgv4XKRWAIlXgdrM+TBEoPTxZipXyVuuDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f32b5efa3bee33b85b9018e9db565a8dd7734f41330d9a0a8466ab0c56f9a5f7","last_reissued_at":"2026-07-05T07:09:50.915111Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:50.915111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.13214","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":"2026-07-05T07:09:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YJaN9A7iaq81S5+vnwXseTwouDfdLMasz0Lj3T7rpaGOydnL9Tr1jnXS40lg7V46r1R9NGquAnt1HHGXF/NoBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T18:04:19.838861Z"},"content_sha256":"6e234c1ea33ad09b6956ad695fe70999340680523ad84ce1bd9aafb4e8dc0953","schema_version":"1.0","event_id":"sha256:6e234c1ea33ad09b6956ad695fe70999340680523ad84ce1bd9aafb4e8dc0953"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:6MVV56R35YZ3QW4QDDU5WVS2RX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Chaoning Zhang, Choong Seon Hong, Chu Myaet Thwal, Huy Q. Le, Minh N. H. Nguyen, Yu Qiao","submitted_at":"2023-07-25T02:55:33Z","abstract_excerpt":"Federated learning (FL) enables a decentralized machine learning paradigm for multiple clients to collaboratively train a generalized global model without sharing their private data. Most existing works simply propose typical FL systems for single-modal data, thus limiting its potential on exploiting valuable multimodal data for future personalized applications. Furthermore, the majority of FL approaches still rely on the labeled data at the client side, which is limited in real-world applications due to the inability of self-annotation from users. In light of these limitations, we propose a n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.13214","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/2307.13214/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":"2026-07-05T07:09:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qXWh4swqiQ9WruWXaMDOXSkuJrA43h2Zpr29sBKkSNyajkWyLub3EsWFDkBBmAzIEZE53UHLDMTmm7mkVh/7Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T18:04:19.839230Z"},"content_sha256":"7747fa2fcb144a4b47c34e7dc993b20a2df1955f2bbcb6937216ce7ea4b83fbe","schema_version":"1.0","event_id":"sha256:7747fa2fcb144a4b47c34e7dc993b20a2df1955f2bbcb6937216ce7ea4b83fbe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6MVV56R35YZ3QW4QDDU5WVS2RX/bundle.json","state_url":"https://pith.science/pith/6MVV56R35YZ3QW4QDDU5WVS2RX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6MVV56R35YZ3QW4QDDU5WVS2RX/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":"2026-08-18T18:04:19Z","links":{"resolver":"https://pith.science/pith/6MVV56R35YZ3QW4QDDU5WVS2RX","bundle":"https://pith.science/pith/6MVV56R35YZ3QW4QDDU5WVS2RX/bundle.json","state":"https://pith.science/pith/6MVV56R35YZ3QW4QDDU5WVS2RX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6MVV56R35YZ3QW4QDDU5WVS2RX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6MVV56R35YZ3QW4QDDU5WVS2RX","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":"be23dc065691324e2a388524a716b6d9dbd49aa8388ac44c3270d934ef57851a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-25T02:55:33Z","title_canon_sha256":"b156bce433e1ec143e79e2d798cfa3c9cd46dca0cd304da47256fc6664e2c53d"},"schema_version":"1.0","source":{"id":"2307.13214","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.13214","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"arxiv_version","alias_value":"2307.13214v2","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.13214","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"pith_short_12","alias_value":"6MVV56R35YZ3","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"pith_short_16","alias_value":"6MVV56R35YZ3QW4Q","created_at":"2026-07-05T07:09:50Z"},{"alias_kind":"pith_short_8","alias_value":"6MVV56R3","created_at":"2026-07-05T07:09:50Z"}],"graph_snapshots":[{"event_id":"sha256:7747fa2fcb144a4b47c34e7dc993b20a2df1955f2bbcb6937216ce7ea4b83fbe","target":"graph","created_at":"2026-07-05T07:09:50Z","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/2307.13214/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated learning (FL) enables a decentralized machine learning paradigm for multiple clients to collaboratively train a generalized global model without sharing their private data. Most existing works simply propose typical FL systems for single-modal data, thus limiting its potential on exploiting valuable multimodal data for future personalized applications. Furthermore, the majority of FL approaches still rely on the labeled data at the client side, which is limited in real-world applications due to the inability of self-annotation from users. In light of these limitations, we propose a n","authors_text":"Chaoning Zhang, Choong Seon Hong, Chu Myaet Thwal, Huy Q. Le, Minh N. H. Nguyen, Yu Qiao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-25T02:55:33Z","title":"FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.13214","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":"sha256:6e234c1ea33ad09b6956ad695fe70999340680523ad84ce1bd9aafb4e8dc0953","target":"record","created_at":"2026-07-05T07:09:50Z","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":"be23dc065691324e2a388524a716b6d9dbd49aa8388ac44c3270d934ef57851a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-25T02:55:33Z","title_canon_sha256":"b156bce433e1ec143e79e2d798cfa3c9cd46dca0cd304da47256fc6664e2c53d"},"schema_version":"1.0","source":{"id":"2307.13214","kind":"arxiv","version":2}},"canonical_sha256":"f32b5efa3bee33b85b9018e9db565a8dd7734f41330d9a0a8466ab0c56f9a5f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f32b5efa3bee33b85b9018e9db565a8dd7734f41330d9a0a8466ab0c56f9a5f7","first_computed_at":"2026-07-05T07:09:50.915111Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:09:50.915111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WX9EBG9lzm2zZ+aVhCUm5QXY8qrtuvHM0fKc6wyzcxE+ujgFgFRRSgv4XKRWAIlXgdrM+TBEoPTxZipXyVuuDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:09:50.915591Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.13214","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e234c1ea33ad09b6956ad695fe70999340680523ad84ce1bd9aafb4e8dc0953","sha256:7747fa2fcb144a4b47c34e7dc993b20a2df1955f2bbcb6937216ce7ea4b83fbe"],"state_sha256":"1b0e6d6bc5802a62c9b67b27ee9683f4c5ee289d59defc4f67813801b7309eb3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qAfq5+fHGqwl1GHpmuH/nbrluc2quuaA5ge1oZx2DPHedu8UiqRkWbe3dvnbD3S2iRABNDRtXTSLn8wBqgeWAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T18:04:19.843076Z","bundle_sha256":"33a7a63a9e67615c5a31c5878a7280db5994ea264785a2513e8e2a14a6da88b9"}}