{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CDCQGYVDQ5JRQ4GNWYUF7DSOE7","short_pith_number":"pith:CDCQGYVD","canonical_record":{"source":{"id":"2408.03694","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-07T11:14:18Z","cross_cats_sorted":["cs.AI","cs.GT","cs.LG"],"title_canon_sha256":"b89bce7ec0b78b830cb6c6fa5248d4a955377ba9f7588197822ba97fcf159c99","abstract_canon_sha256":"b573cc1b2e5cfb971a5dcd20a23df289328953aabbb2269d543bdbf430b40a1a"},"schema_version":"1.0"},"canonical_sha256":"10c50362a387531870cdb6285f8e4e27ec2af7ad5e76ad2e2a7fc7a6fda26d0c","source":{"kind":"arxiv","id":"2408.03694","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03694","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03694v1","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03694","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"CDCQGYVDQ5JR","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_16","alias_value":"CDCQGYVDQ5JRQ4GN","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_8","alias_value":"CDCQGYVD","created_at":"2026-07-05T08:53:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CDCQGYVDQ5JRQ4GNWYUF7DSOE7","target":"record","payload":{"canonical_record":{"source":{"id":"2408.03694","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-07T11:14:18Z","cross_cats_sorted":["cs.AI","cs.GT","cs.LG"],"title_canon_sha256":"b89bce7ec0b78b830cb6c6fa5248d4a955377ba9f7588197822ba97fcf159c99","abstract_canon_sha256":"b573cc1b2e5cfb971a5dcd20a23df289328953aabbb2269d543bdbf430b40a1a"},"schema_version":"1.0"},"canonical_sha256":"10c50362a387531870cdb6285f8e4e27ec2af7ad5e76ad2e2a7fc7a6fda26d0c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:53:01.919071Z","signature_b64":"nFDKvjdC5qy00HOYWJkxs7GuynkW49aboBeAzUE1a1gC0a0nk++2olhg4VDq3n7zeqsZ1hMnWXVNLhInFLFmBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10c50362a387531870cdb6285f8e4e27ec2af7ad5e76ad2e2a7fc7a6fda26d0c","last_reissued_at":"2026-07-05T08:53:01.918717Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:53:01.918717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.03694","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":"2026-07-05T08:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dwKWckwx7nDyHk3yEnF2QHd6MjPGWG4SpkF0l/Xx90ZItl01GPDVSvCnPyTSGPqXb6aXa9LMe2iZ4SDCUGNZCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T02:57:21.462975Z"},"content_sha256":"db9677857eb3fbf8d6baf19e41ea5d413d1662d8a4708c52c76db84c2fbfb6ae","schema_version":"1.0","event_id":"sha256:db9677857eb3fbf8d6baf19e41ea5d413d1662d8a4708c52c76db84c2fbfb6ae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CDCQGYVDQ5JRQ4GNWYUF7DSOE7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.GT","cs.LG"],"primary_cat":"cs.DC","authors_text":"Aiman Erbad, Amr Mohamed, Emna Baccour, Mohsen Guizani, Mounir Hamdi","submitted_at":"2024-08-07T11:14:18Z","abstract_excerpt":"The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction, involves high-performance models. In this dynamic environment, users' tasks frequently shift, requiring fast model personalization despite limited data. This evolution consumes extensive resources and requires vast data volumes. To address this, meta-learning emerges as an invaluable tool for metaverse users, with federated meta-learning (FML), offering even more tailored solutions owing to its adaptive capabilities. However, the metaverse is characterized by users heterogeneity with diverse data struc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03694","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/2408.03694/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":"2026-07-05T08:53:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LGavxYHAp1ZdgV6omD83mV+mndjJG4A0x1FzzJtz1RmLn6crZwJk951KXvs0zzUGfhWzOCjM0ux6V7mt+eW6BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T02:57:21.463507Z"},"content_sha256":"323cbcd01c7c7f88744072b45695b20b36b973c44b8b0b67861ea79fc7175b9f","schema_version":"1.0","event_id":"sha256:323cbcd01c7c7f88744072b45695b20b36b973c44b8b0b67861ea79fc7175b9f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CDCQGYVDQ5JRQ4GNWYUF7DSOE7/bundle.json","state_url":"https://pith.science/pith/CDCQGYVDQ5JRQ4GNWYUF7DSOE7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CDCQGYVDQ5JRQ4GNWYUF7DSOE7/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":"2026-08-21T02:57:21Z","links":{"resolver":"https://pith.science/pith/CDCQGYVDQ5JRQ4GNWYUF7DSOE7","bundle":"https://pith.science/pith/CDCQGYVDQ5JRQ4GNWYUF7DSOE7/bundle.json","state":"https://pith.science/pith/CDCQGYVDQ5JRQ4GNWYUF7DSOE7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CDCQGYVDQ5JRQ4GNWYUF7DSOE7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CDCQGYVDQ5JRQ4GNWYUF7DSOE7","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":"b573cc1b2e5cfb971a5dcd20a23df289328953aabbb2269d543bdbf430b40a1a","cross_cats_sorted":["cs.AI","cs.GT","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-07T11:14:18Z","title_canon_sha256":"b89bce7ec0b78b830cb6c6fa5248d4a955377ba9f7588197822ba97fcf159c99"},"schema_version":"1.0","source":{"id":"2408.03694","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03694","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03694v1","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03694","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_12","alias_value":"CDCQGYVDQ5JR","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_16","alias_value":"CDCQGYVDQ5JRQ4GN","created_at":"2026-07-05T08:53:01Z"},{"alias_kind":"pith_short_8","alias_value":"CDCQGYVD","created_at":"2026-07-05T08:53:01Z"}],"graph_snapshots":[{"event_id":"sha256:323cbcd01c7c7f88744072b45695b20b36b973c44b8b0b67861ea79fc7175b9f","target":"graph","created_at":"2026-07-05T08:53:01Z","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/2408.03694/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction, involves high-performance models. In this dynamic environment, users' tasks frequently shift, requiring fast model personalization despite limited data. This evolution consumes extensive resources and requires vast data volumes. To address this, meta-learning emerges as an invaluable tool for metaverse users, with federated meta-learning (FML), offering even more tailored solutions owing to its adaptive capabilities. However, the metaverse is characterized by users heterogeneity with diverse data struc","authors_text":"Aiman Erbad, Amr Mohamed, Emna Baccour, Mohsen Guizani, Mounir Hamdi","cross_cats":["cs.AI","cs.GT","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-07T11:14:18Z","title":"A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03694","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:db9677857eb3fbf8d6baf19e41ea5d413d1662d8a4708c52c76db84c2fbfb6ae","target":"record","created_at":"2026-07-05T08:53:01Z","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":"b573cc1b2e5cfb971a5dcd20a23df289328953aabbb2269d543bdbf430b40a1a","cross_cats_sorted":["cs.AI","cs.GT","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2024-08-07T11:14:18Z","title_canon_sha256":"b89bce7ec0b78b830cb6c6fa5248d4a955377ba9f7588197822ba97fcf159c99"},"schema_version":"1.0","source":{"id":"2408.03694","kind":"arxiv","version":1}},"canonical_sha256":"10c50362a387531870cdb6285f8e4e27ec2af7ad5e76ad2e2a7fc7a6fda26d0c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10c50362a387531870cdb6285f8e4e27ec2af7ad5e76ad2e2a7fc7a6fda26d0c","first_computed_at":"2026-07-05T08:53:01.918717Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:53:01.918717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nFDKvjdC5qy00HOYWJkxs7GuynkW49aboBeAzUE1a1gC0a0nk++2olhg4VDq3n7zeqsZ1hMnWXVNLhInFLFmBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:53:01.919071Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.03694","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db9677857eb3fbf8d6baf19e41ea5d413d1662d8a4708c52c76db84c2fbfb6ae","sha256:323cbcd01c7c7f88744072b45695b20b36b973c44b8b0b67861ea79fc7175b9f"],"state_sha256":"195abf6766f48feb384b74b518548bccde5d4fb9f2e4d87e8fd846f277e652e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZIwrjJsDpYhoGVrvQ7X4bh1N5REySJst4EcM1NBqPns8cLWVPeEjLyB0l5tnWMF5FTDvh4/9VRjFhCwlJQPvBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T02:57:21.467980Z","bundle_sha256":"efc73d25264d631b84b5b034a8c6057369a9dbf14578a7c143357c5ed29a07ae"}}