{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BU2OOFS7FWHGGDGEWWYEJX53DC","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":"dcdb78fd2a0a7727ae9aaf8ea3c52355bbfb8498b2861a69c5083a91cc12192b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-02-28T20:58:51Z","title_canon_sha256":"0a75111156b9e7b4257285af0cc89e3411ce30ae371c092641d3b8507b1fe64f"},"schema_version":"1.0","source":{"id":"1803.00082","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.00082","created_at":"2026-05-18T00:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"1803.00082v2","created_at":"2026-05-18T00:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.00082","created_at":"2026-05-18T00:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"BU2OOFS7FWHG","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BU2OOFS7FWHGGDGE","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BU2OOFS7","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:91eb6695ff8499fafa91f5ad36cbda20eeae3387f5f6af568674657d77330bc1","target":"graph","created_at":"2026-05-18T00:11:23Z","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"},"paper":{"abstract_excerpt":"Background: We previously presented GraphVar as a user-friendly MATLAB toolbox for comprehensive graph analyses of functional brain connectivity. Here we introduce a comprehensive extension of the toolbox allowing users to seamlessly explore easily customizable decoding models across functional connectivity measures as well as additional features.\n  New Method: GraphVar 2.0 provides machine learning (ML) model construction, validation and exploration. Machine learning can be performed across any combination of network measures and additional variables, allowing for a flexibility in neuroimagin","authors_text":"Anastasia Brovkin, Danilo Bzdok, Henrik Walter, Johann Daniel Kruschwitz, Lea Waller, Lena Dorfschmidt","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-02-28T20:58:51Z","title":"GraphVar 2.0: A user-friendly toolbox for machine learning on functional connectivity measures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.00082","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:fbf9fa17fd9dfa71da0f1a6be5680284f00a1a0e16f37afa82ee85213de7fa63","target":"record","created_at":"2026-05-18T00:11:23Z","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":"dcdb78fd2a0a7727ae9aaf8ea3c52355bbfb8498b2861a69c5083a91cc12192b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-02-28T20:58:51Z","title_canon_sha256":"0a75111156b9e7b4257285af0cc89e3411ce30ae371c092641d3b8507b1fe64f"},"schema_version":"1.0","source":{"id":"1803.00082","kind":"arxiv","version":2}},"canonical_sha256":"0d34e7165f2d8e630cc4b5b044dfbb18a705d28cb13e1122c688604055b17570","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d34e7165f2d8e630cc4b5b044dfbb18a705d28cb13e1122c688604055b17570","first_computed_at":"2026-05-18T00:11:23.472731Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:23.472731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0TB9mZugy7jHoxhMT0otKWWQ7zJP5qISI6aZ6WvNNHnECX+MFy1BHhpyD57hrFYsxyRFnSYT11OxXQnXn8E6DA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:23.473157Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.00082","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fbf9fa17fd9dfa71da0f1a6be5680284f00a1a0e16f37afa82ee85213de7fa63","sha256:91eb6695ff8499fafa91f5ad36cbda20eeae3387f5f6af568674657d77330bc1"],"state_sha256":"fe581623b474e2a67921c3fe59022942758df3fd262666af0149d0747feca50c"}