{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UYIZHVUZKAJEB5G67YPI6U4RKU","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":"a74e85d467b44e3e541e4bf8eae7075aec1cb8ef59df3d680d339abf3a3e047b","cross_cats_sorted":["eess.SP","q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-07T16:37:30Z","title_canon_sha256":"cc58265c6ca8f1b19b568f1a77b058857243b3ab16e23baeb92c258351ac11a9"},"schema_version":"1.0","source":{"id":"2608.07393","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07393","created_at":"2026-08-10T01:15:14Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07393v1","created_at":"2026-08-10T01:15:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07393","created_at":"2026-08-10T01:15:14Z"},{"alias_kind":"pith_short_12","alias_value":"UYIZHVUZKAJE","created_at":"2026-08-10T01:15:14Z"},{"alias_kind":"pith_short_16","alias_value":"UYIZHVUZKAJEB5G6","created_at":"2026-08-10T01:15:14Z"},{"alias_kind":"pith_short_8","alias_value":"UYIZHVUZ","created_at":"2026-08-10T01:15:14Z"}],"graph_snapshots":[{"event_id":"sha256:b799ec08015152a784abb11dcbfd417bc20ef4f4bedb0846795730c63a2cd03e","target":"graph","created_at":"2026-08-10T01:15:14Z","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/2608.07393/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Functional Magnetic Resonance Imaging ( fMRI ) data are often pooled into collaborative multi-site consortia, as deep learning models for analyses require large datasets to generalize well. While Federated Learning (FL) offers a privacy-preserving paradigm for collaborative training, standard approaches continue to struggle with statistical heterogeneity. In particular, site differences pose a key challenge in multi-site data settings. Additionally, existing FL approaches for fMRI rely on static Functional Connectivity ( FC), omitting dynamic information in brain networks. To address this, we ","authors_text":"Deepank Girish, Jagath C. Rajapakse, Sukrit Gupta, Yi Hao Chan, Yubin Zheng","cross_cats":["eess.SP","q-bio.NC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-07T16:37:30Z","title":"FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07393","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:dd2eed285ff406cb4f47c5e4ef274432e10f5cea59291b6d7ca8d2be97828cf5","target":"record","created_at":"2026-08-10T01:15:14Z","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":"a74e85d467b44e3e541e4bf8eae7075aec1cb8ef59df3d680d339abf3a3e047b","cross_cats_sorted":["eess.SP","q-bio.NC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-07T16:37:30Z","title_canon_sha256":"cc58265c6ca8f1b19b568f1a77b058857243b3ab16e23baeb92c258351ac11a9"},"schema_version":"1.0","source":{"id":"2608.07393","kind":"arxiv","version":1}},"canonical_sha256":"a61193d699501240f4defe1e8f539155048258155b2243ed35730d49c4ed8f73","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a61193d699501240f4defe1e8f539155048258155b2243ed35730d49c4ed8f73","first_computed_at":"2026-08-10T01:15:14.832221Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-10T01:15:14.832221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"smxu+7nJZ85QtxE50Spn+q7NRVRa5MORKPUI8oNb2sISnhMDIpzADqGT7IRdVoXsyfE8v/L3piyS7jiGYWEFCQ==","signature_status":"signed_v1","signed_at":"2026-08-10T01:15:14.834619Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.07393","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd2eed285ff406cb4f47c5e4ef274432e10f5cea59291b6d7ca8d2be97828cf5","sha256:b799ec08015152a784abb11dcbfd417bc20ef4f4bedb0846795730c63a2cd03e"],"state_sha256":"384049ac6ef2753ca4f32d9e566ce744b21ce1391d2b755e2e7cbcdcfcdfc043"}