{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ","short_pith_number":"pith:Q2YMFCBZ","canonical_record":{"source":{"id":"2303.17987","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-03-23T15:15:40Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ba7628dd2ad2460f7d2952386f383b838a0b42dad3837ad36813d3d321c2a215","abstract_canon_sha256":"77e78087d2e68dd7bbdb2c84a61462dd6f362cfd5f4894e5fe29f3852f2c1354"},"schema_version":"1.0"},"canonical_sha256":"86b0c28839fc81611957ee18d9593a5e6b499f49fd89bb45405596ef1c681698","source":{"kind":"arxiv","id":"2303.17987","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.17987","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"arxiv_version","alias_value":"2303.17987v1","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.17987","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"pith_short_12","alias_value":"Q2YMFCBZ7SAW","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"pith_short_16","alias_value":"Q2YMFCBZ7SAWCGKX","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"pith_short_8","alias_value":"Q2YMFCBZ","created_at":"2026-07-05T05:56:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ","target":"record","payload":{"canonical_record":{"source":{"id":"2303.17987","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-03-23T15:15:40Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ba7628dd2ad2460f7d2952386f383b838a0b42dad3837ad36813d3d321c2a215","abstract_canon_sha256":"77e78087d2e68dd7bbdb2c84a61462dd6f362cfd5f4894e5fe29f3852f2c1354"},"schema_version":"1.0"},"canonical_sha256":"86b0c28839fc81611957ee18d9593a5e6b499f49fd89bb45405596ef1c681698","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:56:48.601148Z","signature_b64":"GjouZIuYV10mPtks9hQ34bUUqWfb7oWoYOuSU0EYBhflo/aArr8lFcR5KbwPmQdmHZbpi7++q7as7NaPj3yeBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"86b0c28839fc81611957ee18d9593a5e6b499f49fd89bb45405596ef1c681698","last_reissued_at":"2026-07-05T05:56:48.600724Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:56:48.600724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.17987","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:56:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vyw3Qd0X2iOQD7X9vcGj/4MykchxZ+3HIlRxsYkTR4JUBpmTLSuQFLMbQCgQTXZEBRJUp3VzFAIgGU5IxxbuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:14:51.257640Z"},"content_sha256":"9fa2e6e6448de7e57285ebb2605c3475b471d029d1c098af2a8d46ac4644d43d","schema_version":"1.0","event_id":"sha256:9fa2e6e6448de7e57285ebb2605c3475b471d029d1c098af2a8d46ac4644d43d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Federated Learning for Metaverse: A Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"Gengsen Huang, Shan Huang, Wensheng Gan, Yao Chen, Yongdong Wu","submitted_at":"2023-03-23T15:15:40Z","abstract_excerpt":"The metaverse, which is at the stage of innovation and exploration, faces the dilemma of data collection and the problem of private data leakage in the process of development. This can seriously hinder the widespread deployment of the metaverse. Fortunately, federated learning (FL) is a solution to the above problems. FL is a distributed machine learning paradigm with privacy-preserving features designed for a large number of edge devices. Federated learning for metaverse (FL4M) will be a powerful tool. Because FL allows edge devices to participate in training tasks locally using their own dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.17987","kind":"arxiv","version":1},"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/2303.17987/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":"2026-07-05T05:56:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ax1efHDfKZdKoFA+iYP+AM18uvsSbbk3netTbpW8Vp2ub2ia0PeNoNuUR4ram2CDYDGQQCNL+EOo7MpgHaRtAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:14:51.258424Z"},"content_sha256":"c355d5370d5c9dc4db47406b9efd8458301a5648c040bcc4fb16e0150bffe463","schema_version":"1.0","event_id":"sha256:c355d5370d5c9dc4db47406b9efd8458301a5648c040bcc4fb16e0150bffe463"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ/bundle.json","state_url":"https://pith.science/pith/Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ/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":"2026-08-04T09:14:51Z","links":{"resolver":"https://pith.science/pith/Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ","bundle":"https://pith.science/pith/Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ/bundle.json","state":"https://pith.science/pith/Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:Q2YMFCBZ7SAWCGKX5YMNSWJ2LZ","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":"77e78087d2e68dd7bbdb2c84a61462dd6f362cfd5f4894e5fe29f3852f2c1354","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-03-23T15:15:40Z","title_canon_sha256":"ba7628dd2ad2460f7d2952386f383b838a0b42dad3837ad36813d3d321c2a215"},"schema_version":"1.0","source":{"id":"2303.17987","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.17987","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"arxiv_version","alias_value":"2303.17987v1","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.17987","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"pith_short_12","alias_value":"Q2YMFCBZ7SAW","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"pith_short_16","alias_value":"Q2YMFCBZ7SAWCGKX","created_at":"2026-07-05T05:56:48Z"},{"alias_kind":"pith_short_8","alias_value":"Q2YMFCBZ","created_at":"2026-07-05T05:56:48Z"}],"graph_snapshots":[{"event_id":"sha256:c355d5370d5c9dc4db47406b9efd8458301a5648c040bcc4fb16e0150bffe463","target":"graph","created_at":"2026-07-05T05:56:48Z","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/2303.17987/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The metaverse, which is at the stage of innovation and exploration, faces the dilemma of data collection and the problem of private data leakage in the process of development. This can seriously hinder the widespread deployment of the metaverse. Fortunately, federated learning (FL) is a solution to the above problems. FL is a distributed machine learning paradigm with privacy-preserving features designed for a large number of edge devices. Federated learning for metaverse (FL4M) will be a powerful tool. Because FL allows edge devices to participate in training tasks locally using their own dat","authors_text":"Gengsen Huang, Shan Huang, Wensheng Gan, Yao Chen, Yongdong Wu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-03-23T15:15:40Z","title":"Federated Learning for Metaverse: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.17987","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":"sha256:9fa2e6e6448de7e57285ebb2605c3475b471d029d1c098af2a8d46ac4644d43d","target":"record","created_at":"2026-07-05T05:56:48Z","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":"77e78087d2e68dd7bbdb2c84a61462dd6f362cfd5f4894e5fe29f3852f2c1354","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-03-23T15:15:40Z","title_canon_sha256":"ba7628dd2ad2460f7d2952386f383b838a0b42dad3837ad36813d3d321c2a215"},"schema_version":"1.0","source":{"id":"2303.17987","kind":"arxiv","version":1}},"canonical_sha256":"86b0c28839fc81611957ee18d9593a5e6b499f49fd89bb45405596ef1c681698","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"86b0c28839fc81611957ee18d9593a5e6b499f49fd89bb45405596ef1c681698","first_computed_at":"2026-07-05T05:56:48.600724Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:56:48.600724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GjouZIuYV10mPtks9hQ34bUUqWfb7oWoYOuSU0EYBhflo/aArr8lFcR5KbwPmQdmHZbpi7++q7as7NaPj3yeBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:56:48.601148Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.17987","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9fa2e6e6448de7e57285ebb2605c3475b471d029d1c098af2a8d46ac4644d43d","sha256:c355d5370d5c9dc4db47406b9efd8458301a5648c040bcc4fb16e0150bffe463"],"state_sha256":"a964b98017db6917fdb68d3c4976aab26b75d374f3c2c7f114e712541fb2f8f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4w+B9lSwMcA/gEj340lbIfgKXx8hK9o23Tj3k/os9zGhCuzS9OUmehieAqIzomDbIVgtguo7ao16sQVuWFBwDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:14:51.263905Z","bundle_sha256":"22d0c39eba286100f5cd647020a42c488963d84b41ca485cc478033904bf29cf"}}