{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ES4M7MXRFO7SLVYXZ2JZQHHT6A","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":"474c5272c27386810ccda298e1130ad250974d0bdde40a2a4a2cffe4ba97bf02","cross_cats_sorted":["stat.AP","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2024-08-04T19:37:09Z","title_canon_sha256":"8ad0740ea3fde3f223f4f15a7a76c571e1d4471c726f550c97487285e934f004"},"schema_version":"1.0","source":{"id":"2408.02122","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.02122","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"arxiv_version","alias_value":"2408.02122v2","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.02122","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_12","alias_value":"ES4M7MXRFO7S","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_16","alias_value":"ES4M7MXRFO7SLVYX","created_at":"2026-06-09T02:06:59Z"},{"alias_kind":"pith_short_8","alias_value":"ES4M7MXR","created_at":"2026-06-09T02:06:59Z"}],"graph_snapshots":[{"event_id":"sha256:76e952de65caf57ce1ecbb039f286afd8c859121d3401b1fb13d441ee621b358","target":"graph","created_at":"2026-06-09T02:06:59Z","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/2408.02122/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Bayesian modeling requires combining evidence from distributed users into a coherent global posterior while keeping users' raw data on-device. We propose Federated Latent Graph MCMC (FLaG-MCMC), a computationally efficient framework for federated learning in which historical posterior samples of a shared global parameter are encoded into a learned low-dimensional latent space, connected via a $k$-nearest-neighbor graph, and transferred sequentially to new users as a nonparametric prior. Each user runs graph-based MCMC in the latent space guided by their own likelihood, returns update","authors_text":"Chenyang Zhong, Shouxuan Ji, Tian Zheng","cross_cats":["stat.AP","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2024-08-04T19:37:09Z","title":"Graph-Enabled Efficient Federated Bayesian Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.02122","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":"sha256:4ddce2945bcb7e82e7cf3d2e184b228f1df7b8d20f115c09ced276c9e1c1cde9","target":"record","created_at":"2026-06-09T02:06:59Z","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":"474c5272c27386810ccda298e1130ad250974d0bdde40a2a4a2cffe4ba97bf02","cross_cats_sorted":["stat.AP","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2024-08-04T19:37:09Z","title_canon_sha256":"8ad0740ea3fde3f223f4f15a7a76c571e1d4471c726f550c97487285e934f004"},"schema_version":"1.0","source":{"id":"2408.02122","kind":"arxiv","version":2}},"canonical_sha256":"24b8cfb2f12bbf25d717ce93981cf3f01beeec4143cb33079b9c23470f92bfb2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24b8cfb2f12bbf25d717ce93981cf3f01beeec4143cb33079b9c23470f92bfb2","first_computed_at":"2026-06-09T02:06:59.968805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T02:06:59.968805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"229Nez6MVJcVcE6qNlyM7wFsI3YZWzAEW5yYUSpH0/Ocjn5DLIpdx0wfxwGseuGmN1VcJYa2SNKlAp7cUglTBw==","signature_status":"signed_v1","signed_at":"2026-06-09T02:06:59.969824Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.02122","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ddce2945bcb7e82e7cf3d2e184b228f1df7b8d20f115c09ced276c9e1c1cde9","sha256:76e952de65caf57ce1ecbb039f286afd8c859121d3401b1fb13d441ee621b358"],"state_sha256":"21aef9fa906a367142112ec7f22d90c116376ba7653bd613e40e145840bb9400"}