{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:LGBIDWV3GPXHUMBVU2V55RVFGW","short_pith_number":"pith:LGBIDWV3","canonical_record":{"source":{"id":"1906.02252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-06-05T19:03:26Z","cross_cats_sorted":["cs.LG","eess.SP","stat.ML"],"title_canon_sha256":"f9d9305dea2c802623dd1dd46454faf2261e639b75cc5d30dcbf00d57b9c0369","abstract_canon_sha256":"35ed93ced2882fe1dafc89806295f2531bbfd416a4d28cc90c1284c989435fcb"},"schema_version":"1.0"},"canonical_sha256":"598281dabb33ee7a3035a6abdec6a535b74f10bff7998076656652682c81765d","source":{"kind":"arxiv","id":"1906.02252","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02252","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02252v1","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02252","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"LGBIDWV3GPXH","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"LGBIDWV3GPXHUMBV","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"LGBIDWV3","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:LGBIDWV3GPXHUMBVU2V55RVFGW","target":"record","payload":{"canonical_record":{"source":{"id":"1906.02252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-06-05T19:03:26Z","cross_cats_sorted":["cs.LG","eess.SP","stat.ML"],"title_canon_sha256":"f9d9305dea2c802623dd1dd46454faf2261e639b75cc5d30dcbf00d57b9c0369","abstract_canon_sha256":"35ed93ced2882fe1dafc89806295f2531bbfd416a4d28cc90c1284c989435fcb"},"schema_version":"1.0"},"canonical_sha256":"598281dabb33ee7a3035a6abdec6a535b74f10bff7998076656652682c81765d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:01.786686Z","signature_b64":"Wq3i9bfoySsOL0g27gmUGLx+bJcdCZgzAU2zHGwCFw0bgHBIGLbIabrfo6mNy+ABlwwMst10/jiK+qm7EQ2MAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"598281dabb33ee7a3035a6abdec6a535b74f10bff7998076656652682c81765d","last_reissued_at":"2026-05-17T23:44:01.786021Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:01.786021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.02252","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":"2026-05-17T23:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NTaCqJgGapWaLJSAzcq7LfVkd3TR8qm+Z7KQUpCJzrQdP2XGEkrAYzi768sl6glXYvq/CQuH+1eFL1Dh9Wj2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T16:54:28.734490Z"},"content_sha256":"f7b877b0f55175250bb6d6a0d96d97534fb85d250d48115b9bf450aa8ce90058","schema_version":"1.0","event_id":"sha256:f7b877b0f55175250bb6d6a0d96d97534fb85d250d48115b9bf450aa8ce90058"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:LGBIDWV3GPXHUMBVU2V55RVFGW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.SP","stat.ML"],"primary_cat":"stat.AP","authors_text":"Feng Liu, Li Wang, Patrick Purdon, Rencang Li, Yifei Lou","submitted_at":"2019-06-05T19:03:26Z","abstract_excerpt":"Brain source imaging is an important method for noninvasively characterizing brain activity using Electroencephalogram (EEG) or Magnetoencephalography (MEG) recordings. Traditional EEG/MEG Source Imaging (ESI) methods usually assume that either source activity at different time points is unrelated, or that similar spatiotemporal patterns exist across an entire study period. The former assumption makes ESI analyses sensitive to noise, while the latter renders ESI analyses unable to account for time-varying patterns of activity. To effectively deal with noise while maintaining flexibility and co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02252","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":""},"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":"2026-05-17T23:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GSNgQwJYJi/fI8B6fMfvOQrAXxXt2KS4Zv64NLAWlmuhPakA8YRwW6tBIei8kVIu8jc/v+T8esw+dhtjU+uhDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T16:54:28.734928Z"},"content_sha256":"b490155889fd8517604680793f11bcfa3daf7ccd41c01ba6f12fe27b699d50ad","schema_version":"1.0","event_id":"sha256:b490155889fd8517604680793f11bcfa3daf7ccd41c01ba6f12fe27b699d50ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LGBIDWV3GPXHUMBVU2V55RVFGW/bundle.json","state_url":"https://pith.science/pith/LGBIDWV3GPXHUMBVU2V55RVFGW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LGBIDWV3GPXHUMBVU2V55RVFGW/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":"2026-05-28T16:54:28Z","links":{"resolver":"https://pith.science/pith/LGBIDWV3GPXHUMBVU2V55RVFGW","bundle":"https://pith.science/pith/LGBIDWV3GPXHUMBVU2V55RVFGW/bundle.json","state":"https://pith.science/pith/LGBIDWV3GPXHUMBVU2V55RVFGW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LGBIDWV3GPXHUMBVU2V55RVFGW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:LGBIDWV3GPXHUMBVU2V55RVFGW","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":"35ed93ced2882fe1dafc89806295f2531bbfd416a4d28cc90c1284c989435fcb","cross_cats_sorted":["cs.LG","eess.SP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-06-05T19:03:26Z","title_canon_sha256":"f9d9305dea2c802623dd1dd46454faf2261e639b75cc5d30dcbf00d57b9c0369"},"schema_version":"1.0","source":{"id":"1906.02252","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02252","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02252v1","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02252","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"LGBIDWV3GPXH","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"LGBIDWV3GPXHUMBV","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"LGBIDWV3","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:b490155889fd8517604680793f11bcfa3daf7ccd41c01ba6f12fe27b699d50ad","target":"graph","created_at":"2026-05-17T23:44:01Z","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"},"paper":{"abstract_excerpt":"Brain source imaging is an important method for noninvasively characterizing brain activity using Electroencephalogram (EEG) or Magnetoencephalography (MEG) recordings. Traditional EEG/MEG Source Imaging (ESI) methods usually assume that either source activity at different time points is unrelated, or that similar spatiotemporal patterns exist across an entire study period. The former assumption makes ESI analyses sensitive to noise, while the latter renders ESI analyses unable to account for time-varying patterns of activity. To effectively deal with noise while maintaining flexibility and co","authors_text":"Feng Liu, Li Wang, Patrick Purdon, Rencang Li, Yifei Lou","cross_cats":["cs.LG","eess.SP","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-06-05T19:03:26Z","title":"Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02252","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:f7b877b0f55175250bb6d6a0d96d97534fb85d250d48115b9bf450aa8ce90058","target":"record","created_at":"2026-05-17T23:44:01Z","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":"35ed93ced2882fe1dafc89806295f2531bbfd416a4d28cc90c1284c989435fcb","cross_cats_sorted":["cs.LG","eess.SP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-06-05T19:03:26Z","title_canon_sha256":"f9d9305dea2c802623dd1dd46454faf2261e639b75cc5d30dcbf00d57b9c0369"},"schema_version":"1.0","source":{"id":"1906.02252","kind":"arxiv","version":1}},"canonical_sha256":"598281dabb33ee7a3035a6abdec6a535b74f10bff7998076656652682c81765d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"598281dabb33ee7a3035a6abdec6a535b74f10bff7998076656652682c81765d","first_computed_at":"2026-05-17T23:44:01.786021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:01.786021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wq3i9bfoySsOL0g27gmUGLx+bJcdCZgzAU2zHGwCFw0bgHBIGLbIabrfo6mNy+ABlwwMst10/jiK+qm7EQ2MAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:01.786686Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.02252","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7b877b0f55175250bb6d6a0d96d97534fb85d250d48115b9bf450aa8ce90058","sha256:b490155889fd8517604680793f11bcfa3daf7ccd41c01ba6f12fe27b699d50ad"],"state_sha256":"f3646bce9bd4b2d40560dafcc800a79870567388f06a57a0ff56da15ed652341"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JyXZ1Mil1NaaTG76ss4+m3NdiujAJ5agjUUWZHtiofnbdTSkk3Nr9vilxmD47wdyv3tfHrK4PgPOAS5T1MMdDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T16:54:28.738280Z","bundle_sha256":"aa295845b6e68ec02cbc091528f5dab19c6389e5b3554c024aa94157668c09ff"}}