{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:W32A5RSYZDTQVST3AV2FPXOF7D","short_pith_number":"pith:W32A5RSY","canonical_record":{"source":{"id":"2109.02464","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-08-18T07:12:23Z","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"title_canon_sha256":"6e7c732ee72297f1b02232384ca40d4c26f336ff8e5ecfc0edb230ed44edb7d6","abstract_canon_sha256":"c613b7143255f5c40123ebef4f9892c507b4e850cca1c32683dc72f7b0a88e3e"},"schema_version":"1.0"},"canonical_sha256":"b6f40ec658c8e70aca7b057457ddc5f8fb64b024be1d0efde06a76cb450ee6c9","source":{"kind":"arxiv","id":"2109.02464","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.02464","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"arxiv_version","alias_value":"2109.02464v2","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.02464","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"pith_short_12","alias_value":"W32A5RSYZDTQ","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"pith_short_16","alias_value":"W32A5RSYZDTQVST3","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"pith_short_8","alias_value":"W32A5RSY","created_at":"2026-07-05T04:32:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:W32A5RSYZDTQVST3AV2FPXOF7D","target":"record","payload":{"canonical_record":{"source":{"id":"2109.02464","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-08-18T07:12:23Z","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"title_canon_sha256":"6e7c732ee72297f1b02232384ca40d4c26f336ff8e5ecfc0edb230ed44edb7d6","abstract_canon_sha256":"c613b7143255f5c40123ebef4f9892c507b4e850cca1c32683dc72f7b0a88e3e"},"schema_version":"1.0"},"canonical_sha256":"b6f40ec658c8e70aca7b057457ddc5f8fb64b024be1d0efde06a76cb450ee6c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:32:51.323854Z","signature_b64":"qPsvTGC/EFNxemnAcSHCqTXBE+vWWllEwlRbdazmO/RHrMPqWT1pl55mE61z45Hp/llS3EY12cH70FozruLZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6f40ec658c8e70aca7b057457ddc5f8fb64b024be1d0efde06a76cb450ee6c9","last_reissued_at":"2026-07-05T04:32:51.323302Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:32:51.323302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.02464","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":"2026-07-05T04:32:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tvg9l6Ipct0NVAnhCEzcl22MGS5NTjNsIOLG3viaTOBzsIivCACDujDKPVvfCWTlz6CMTAnqUFA3yufNL4qsCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:48:59.233908Z"},"content_sha256":"b501fdcd64b8c0f779bc572160680bbdf3b3614abf3decfbc3ef8a576721aabb","schema_version":"1.0","event_id":"sha256:b501fdcd64b8c0f779bc572160680bbdf3b3614abf3decfbc3ef8a576721aabb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:W32A5RSYZDTQVST3AV2FPXOF7D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Practical and Secure Federated Recommendation with Personalized Masks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CR","cs.LG"],"primary_cat":"cs.IR","authors_text":"Di Chai, Junxue Zhang, Kai Chen, Kun Guo, Leye Wang, Liu Yang, Qiang Yang","submitted_at":"2021-08-18T07:12:23Z","abstract_excerpt":"Federated recommendation addresses the data silo and privacy problems altogether for recommender systems. Current federated recommender systems mainly utilize cryptographic or obfuscation methods to protect the original ratings from leakage. However, the former comes with extra communication and computation costs, and the latter damages model accuracy. Neither of them could simultaneously satisfy the real-time feedback and accurate personalization requirements of recommender systems. In this paper, we proposed federated masked matrix factorization (FedMMF) to protect the data privacy in federa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.02464","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/2109.02464/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":"2026-07-05T04:32:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jEduoFpfivDdGBMd+eWVwHvA+TGouFMeB4E8Ss3A/STgEZTVal42C4qNpZaZAYvM0mg4svNsQwsSt/2HP7O9Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:48:59.234285Z"},"content_sha256":"9d4be09a7e699880be00ef45a92b3e8ca1586d99c5ad64ff4ef728e6a5b75f5d","schema_version":"1.0","event_id":"sha256:9d4be09a7e699880be00ef45a92b3e8ca1586d99c5ad64ff4ef728e6a5b75f5d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W32A5RSYZDTQVST3AV2FPXOF7D/bundle.json","state_url":"https://pith.science/pith/W32A5RSYZDTQVST3AV2FPXOF7D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W32A5RSYZDTQVST3AV2FPXOF7D/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":"2026-07-09T02:48:59Z","links":{"resolver":"https://pith.science/pith/W32A5RSYZDTQVST3AV2FPXOF7D","bundle":"https://pith.science/pith/W32A5RSYZDTQVST3AV2FPXOF7D/bundle.json","state":"https://pith.science/pith/W32A5RSYZDTQVST3AV2FPXOF7D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W32A5RSYZDTQVST3AV2FPXOF7D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:W32A5RSYZDTQVST3AV2FPXOF7D","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":"c613b7143255f5c40123ebef4f9892c507b4e850cca1c32683dc72f7b0a88e3e","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-08-18T07:12:23Z","title_canon_sha256":"6e7c732ee72297f1b02232384ca40d4c26f336ff8e5ecfc0edb230ed44edb7d6"},"schema_version":"1.0","source":{"id":"2109.02464","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.02464","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"arxiv_version","alias_value":"2109.02464v2","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.02464","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"pith_short_12","alias_value":"W32A5RSYZDTQ","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"pith_short_16","alias_value":"W32A5RSYZDTQVST3","created_at":"2026-07-05T04:32:51Z"},{"alias_kind":"pith_short_8","alias_value":"W32A5RSY","created_at":"2026-07-05T04:32:51Z"}],"graph_snapshots":[{"event_id":"sha256:9d4be09a7e699880be00ef45a92b3e8ca1586d99c5ad64ff4ef728e6a5b75f5d","target":"graph","created_at":"2026-07-05T04:32:51Z","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/2109.02464/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated recommendation addresses the data silo and privacy problems altogether for recommender systems. Current federated recommender systems mainly utilize cryptographic or obfuscation methods to protect the original ratings from leakage. However, the former comes with extra communication and computation costs, and the latter damages model accuracy. Neither of them could simultaneously satisfy the real-time feedback and accurate personalization requirements of recommender systems. In this paper, we proposed federated masked matrix factorization (FedMMF) to protect the data privacy in federa","authors_text":"Di Chai, Junxue Zhang, Kai Chen, Kun Guo, Leye Wang, Liu Yang, Qiang Yang","cross_cats":["cs.AI","cs.CR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-08-18T07:12:23Z","title":"Practical and Secure Federated Recommendation with Personalized Masks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.02464","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:b501fdcd64b8c0f779bc572160680bbdf3b3614abf3decfbc3ef8a576721aabb","target":"record","created_at":"2026-07-05T04:32:51Z","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":"c613b7143255f5c40123ebef4f9892c507b4e850cca1c32683dc72f7b0a88e3e","cross_cats_sorted":["cs.AI","cs.CR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-08-18T07:12:23Z","title_canon_sha256":"6e7c732ee72297f1b02232384ca40d4c26f336ff8e5ecfc0edb230ed44edb7d6"},"schema_version":"1.0","source":{"id":"2109.02464","kind":"arxiv","version":2}},"canonical_sha256":"b6f40ec658c8e70aca7b057457ddc5f8fb64b024be1d0efde06a76cb450ee6c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6f40ec658c8e70aca7b057457ddc5f8fb64b024be1d0efde06a76cb450ee6c9","first_computed_at":"2026-07-05T04:32:51.323302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:32:51.323302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qPsvTGC/EFNxemnAcSHCqTXBE+vWWllEwlRbdazmO/RHrMPqWT1pl55mE61z45Hp/llS3EY12cH70FozruLZDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:32:51.323854Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.02464","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b501fdcd64b8c0f779bc572160680bbdf3b3614abf3decfbc3ef8a576721aabb","sha256:9d4be09a7e699880be00ef45a92b3e8ca1586d99c5ad64ff4ef728e6a5b75f5d"],"state_sha256":"b0625425a6e4bba72847a5a8aab0f2490f801ad6e831b9289b639a8f721b894f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cD8zB7LU2WNOAa+GQUsYAdkZabdQ1FgQrnoyUnBlJP+pJztSo1T3LCLg7yfZzRLhPeOVsSjSG5043TeyIkMyCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T02:48:59.236749Z","bundle_sha256":"580d1909108dc88cd5489cba0653d8ad39da64ac135317f43c8c4fcaaba27ac0"}}