{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QVBACUJDV4A6QMWG6BDOHJTMVR","short_pith_number":"pith:QVBACUJD","canonical_record":{"source":{"id":"2411.18385","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T14:30:02Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"471a51a32690634e0eb815dd9205580333b907016d0db480aa6ddbe040f46a4f","abstract_canon_sha256":"c8bb8f14001fab8cdbbc58db8754691c3c4e150e01c6c493014c31fe8ec65afe"},"schema_version":"1.0"},"canonical_sha256":"8542015123af01e832c6f046e3a66cac451dcb4be5e0566eda9b96f9f372838b","source":{"kind":"arxiv","id":"2411.18385","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18385","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18385v1","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18385","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"QVBACUJDV4A6","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"pith_short_16","alias_value":"QVBACUJDV4A6QMWG","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"pith_short_8","alias_value":"QVBACUJD","created_at":"2026-06-09T02:07:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QVBACUJDV4A6QMWG6BDOHJTMVR","target":"record","payload":{"canonical_record":{"source":{"id":"2411.18385","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T14:30:02Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"471a51a32690634e0eb815dd9205580333b907016d0db480aa6ddbe040f46a4f","abstract_canon_sha256":"c8bb8f14001fab8cdbbc58db8754691c3c4e150e01c6c493014c31fe8ec65afe"},"schema_version":"1.0"},"canonical_sha256":"8542015123af01e832c6f046e3a66cac451dcb4be5e0566eda9b96f9f372838b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:01.152910Z","signature_b64":"4OfGLI1GI34eRF736UIjw+JnpU27XS0jfraN1/pQLj1D1bXbawhIb232KkOfSQaJlsyjz0lmwnsQuaSdBnfACw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8542015123af01e832c6f046e3a66cac451dcb4be5e0566eda9b96f9f372838b","last_reissued_at":"2026-06-09T02:07:01.151916Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:01.151916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.18385","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":"2026-06-09T02:07:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/vpT4ziEIJ/6dev0edMOnreYDE4V0x02vX8od2jQc0j9MzBEo1vGsIwRzBz6u15z/+F7rB0Z8cG6PIeMDrRkDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T05:26:49.301335Z"},"content_sha256":"f0c73423ea09f4f8a6307034559fbae52145ccdee326f5a2a7cab48c30549275","schema_version":"1.0","event_id":"sha256:f0c73423ea09f4f8a6307034559fbae52145ccdee326f5a2a7cab48c30549275"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QVBACUJDV4A6QMWG6BDOHJTMVR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Aishwarya Gupta, Piyush Rai, Saqib Sarwar, Shivam Pal","submitted_at":"2024-11-27T14:30:02Z","abstract_excerpt":"Federated Learning (FL) has emerged as a promising method to collaboratively learn from decentralized and heterogeneous data available at different clients without the requirement of data ever leaving the clients. Recent works on FL have advocated taking a Bayesian approach to FL as it offers a principled way to account for the model and predictive uncertainty by learning a posterior distribution for the client and/or server models. Moreover, Bayesian FL also naturally enables personalization in FL to handle data heterogeneity across the different clients by having each client learn its own di"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18385","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/2411.18385/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":"2026-06-09T02:07:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dhz+3RGjHk2RmjrKB9D0+Lqdgf2ryCXm8a/Ad+iel6XfQEj9pcpJ5C7NImUt6h4Gjs1k6W/bLiQF/SSqqQVeBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T05:26:49.302145Z"},"content_sha256":"d55c5fd25d0e4290bd8020279a3c4eb70de99656a2e2148089cb57adbc8f90d9","schema_version":"1.0","event_id":"sha256:d55c5fd25d0e4290bd8020279a3c4eb70de99656a2e2148089cb57adbc8f90d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QVBACUJDV4A6QMWG6BDOHJTMVR/bundle.json","state_url":"https://pith.science/pith/QVBACUJDV4A6QMWG6BDOHJTMVR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QVBACUJDV4A6QMWG6BDOHJTMVR/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":"2026-06-10T05:26:49Z","links":{"resolver":"https://pith.science/pith/QVBACUJDV4A6QMWG6BDOHJTMVR","bundle":"https://pith.science/pith/QVBACUJDV4A6QMWG6BDOHJTMVR/bundle.json","state":"https://pith.science/pith/QVBACUJDV4A6QMWG6BDOHJTMVR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QVBACUJDV4A6QMWG6BDOHJTMVR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QVBACUJDV4A6QMWG6BDOHJTMVR","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":"c8bb8f14001fab8cdbbc58db8754691c3c4e150e01c6c493014c31fe8ec65afe","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T14:30:02Z","title_canon_sha256":"471a51a32690634e0eb815dd9205580333b907016d0db480aa6ddbe040f46a4f"},"schema_version":"1.0","source":{"id":"2411.18385","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18385","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18385v1","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18385","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"QVBACUJDV4A6","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"pith_short_16","alias_value":"QVBACUJDV4A6QMWG","created_at":"2026-06-09T02:07:01Z"},{"alias_kind":"pith_short_8","alias_value":"QVBACUJD","created_at":"2026-06-09T02:07:01Z"}],"graph_snapshots":[{"event_id":"sha256:d55c5fd25d0e4290bd8020279a3c4eb70de99656a2e2148089cb57adbc8f90d9","target":"graph","created_at":"2026-06-09T02:07:01Z","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/2411.18385/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) has emerged as a promising method to collaboratively learn from decentralized and heterogeneous data available at different clients without the requirement of data ever leaving the clients. Recent works on FL have advocated taking a Bayesian approach to FL as it offers a principled way to account for the model and predictive uncertainty by learning a posterior distribution for the client and/or server models. Moreover, Bayesian FL also naturally enables personalization in FL to handle data heterogeneity across the different clients by having each client learn its own di","authors_text":"Aishwarya Gupta, Piyush Rai, Saqib Sarwar, Shivam Pal","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T14:30:02Z","title":"Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18385","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:f0c73423ea09f4f8a6307034559fbae52145ccdee326f5a2a7cab48c30549275","target":"record","created_at":"2026-06-09T02:07:01Z","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":"c8bb8f14001fab8cdbbc58db8754691c3c4e150e01c6c493014c31fe8ec65afe","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T14:30:02Z","title_canon_sha256":"471a51a32690634e0eb815dd9205580333b907016d0db480aa6ddbe040f46a4f"},"schema_version":"1.0","source":{"id":"2411.18385","kind":"arxiv","version":1}},"canonical_sha256":"8542015123af01e832c6f046e3a66cac451dcb4be5e0566eda9b96f9f372838b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8542015123af01e832c6f046e3a66cac451dcb4be5e0566eda9b96f9f372838b","first_computed_at":"2026-06-09T02:07:01.151916Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:07:01.151916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4OfGLI1GI34eRF736UIjw+JnpU27XS0jfraN1/pQLj1D1bXbawhIb232KkOfSQaJlsyjz0lmwnsQuaSdBnfACw==","signature_status":"signed_v1","signed_at":"2026-06-09T02:07:01.152910Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18385","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0c73423ea09f4f8a6307034559fbae52145ccdee326f5a2a7cab48c30549275","sha256:d55c5fd25d0e4290bd8020279a3c4eb70de99656a2e2148089cb57adbc8f90d9"],"state_sha256":"ea71320632844bf43efee54e6cb899e1cf650de2e4e1f343a370cca9c453566a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7lMQmWQg1U6YYqiu+w5xL/I5D/LrgncfxzS0eDze02+2DR6AsKqRWPQgS50Flh3/3DIzvdzJCn1U4FgUnCmEDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T05:26:49.306526Z","bundle_sha256":"010ae26d08e8ca94df8483513a20748c9a16d958a1dd45fedad2ab70e9bb6280"}}