{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:2RE24CIMHSGVJPZWCCK3G7IUHT","short_pith_number":"pith:2RE24CIM","canonical_record":{"source":{"id":"1602.02435","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-02-07T22:18:45Z","cross_cats_sorted":[],"title_canon_sha256":"66c39574a1da4ee4e5b5c58be1b093edf2d4afd45d10fd9d39b68526540d326a","abstract_canon_sha256":"e65b4f38ed2cc1a0dda46d92c168aadf1aa60be3ba717e2faa16582b41cdae1a"},"schema_version":"1.0"},"canonical_sha256":"d449ae090c3c8d54bf361095b37d143cc7dc8cce19e8b1de95060234b7deeaf0","source":{"kind":"arxiv","id":"1602.02435","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.02435","created_at":"2026-05-18T01:12:25Z"},{"alias_kind":"arxiv_version","alias_value":"1602.02435v3","created_at":"2026-05-18T01:12:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.02435","created_at":"2026-05-18T01:12:25Z"},{"alias_kind":"pith_short_12","alias_value":"2RE24CIMHSGV","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2RE24CIMHSGVJPZW","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2RE24CIM","created_at":"2026-05-18T12:29:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:2RE24CIMHSGVJPZWCCK3G7IUHT","target":"record","payload":{"canonical_record":{"source":{"id":"1602.02435","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-02-07T22:18:45Z","cross_cats_sorted":[],"title_canon_sha256":"66c39574a1da4ee4e5b5c58be1b093edf2d4afd45d10fd9d39b68526540d326a","abstract_canon_sha256":"e65b4f38ed2cc1a0dda46d92c168aadf1aa60be3ba717e2faa16582b41cdae1a"},"schema_version":"1.0"},"canonical_sha256":"d449ae090c3c8d54bf361095b37d143cc7dc8cce19e8b1de95060234b7deeaf0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:25.031616Z","signature_b64":"0FGR1YNqmcMCsHgsAt65iRNulBV8t04YEBoGUAK6RnnjBXOPkXf0bAcGvsj5+fTJTQ9XoqOijemonbmBUKfjAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d449ae090c3c8d54bf361095b37d143cc7dc8cce19e8b1de95060234b7deeaf0","last_reissued_at":"2026-05-18T01:12:25.031256Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:25.031256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.02435","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:12:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zcKWq2v+v31pHSXe9VFQlZBo722LII4ezueq+zxiJD5NK8JLxVzPlb9bUy6aW2YaJs+KE7As72TzKH51qO6bAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:40:40.775831Z"},"content_sha256":"22e428711b08113cf458b2fe4d10edce0b8a723dcb5315c59eb3c972c8fbb725","schema_version":"1.0","event_id":"sha256:22e428711b08113cf458b2fe4d10edce0b8a723dcb5315c59eb3c972c8fbb725"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:2RE24CIMHSGVJPZWCCK3G7IUHT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Hernando Ombao, Marc G. Genton, Stefano Castruccio","submitted_at":"2016-02-07T22:18:45Z","abstract_excerpt":"Functional Magnetic Resonance Imaging (fMRI) is a primary modality for studying brain activity. Modeling spatial dependence of imaging data at different scales is one of the main challenges of contemporary neuroimaging, and it could allow for accurate testing for significance in neural activity. The high dimensionality of this type of data (on the order of hundreds of thousands of voxels) poses serious modeling challenges and considerable computational constraints. For the sake of feasibility, standard models typically reduce dimensionality by modeling covariance among regions of interest (ROI"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.02435","kind":"arxiv","version":3},"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":"2026-05-18T01:12:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nG+kcOWNbIVdaKOY0BAQP/lVWRfW0NUvXeW1PQxcvb9KSENiR58ithDSQzzYvvpSkQNqGIgR3Bi4B5Nt3GjCDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:40:40.776483Z"},"content_sha256":"91661be511b3b93a979ff88d37ee999ca772c3113b7501c4cabdad4195820d41","schema_version":"1.0","event_id":"sha256:91661be511b3b93a979ff88d37ee999ca772c3113b7501c4cabdad4195820d41"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2RE24CIMHSGVJPZWCCK3G7IUHT/bundle.json","state_url":"https://pith.science/pith/2RE24CIMHSGVJPZWCCK3G7IUHT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2RE24CIMHSGVJPZWCCK3G7IUHT/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":"2026-05-25T21:40:40Z","links":{"resolver":"https://pith.science/pith/2RE24CIMHSGVJPZWCCK3G7IUHT","bundle":"https://pith.science/pith/2RE24CIMHSGVJPZWCCK3G7IUHT/bundle.json","state":"https://pith.science/pith/2RE24CIMHSGVJPZWCCK3G7IUHT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2RE24CIMHSGVJPZWCCK3G7IUHT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:2RE24CIMHSGVJPZWCCK3G7IUHT","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":"e65b4f38ed2cc1a0dda46d92c168aadf1aa60be3ba717e2faa16582b41cdae1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-02-07T22:18:45Z","title_canon_sha256":"66c39574a1da4ee4e5b5c58be1b093edf2d4afd45d10fd9d39b68526540d326a"},"schema_version":"1.0","source":{"id":"1602.02435","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.02435","created_at":"2026-05-18T01:12:25Z"},{"alias_kind":"arxiv_version","alias_value":"1602.02435v3","created_at":"2026-05-18T01:12:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.02435","created_at":"2026-05-18T01:12:25Z"},{"alias_kind":"pith_short_12","alias_value":"2RE24CIMHSGV","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2RE24CIMHSGVJPZW","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2RE24CIM","created_at":"2026-05-18T12:29:55Z"}],"graph_snapshots":[{"event_id":"sha256:91661be511b3b93a979ff88d37ee999ca772c3113b7501c4cabdad4195820d41","target":"graph","created_at":"2026-05-18T01:12:25Z","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":"Functional Magnetic Resonance Imaging (fMRI) is a primary modality for studying brain activity. Modeling spatial dependence of imaging data at different scales is one of the main challenges of contemporary neuroimaging, and it could allow for accurate testing for significance in neural activity. The high dimensionality of this type of data (on the order of hundreds of thousands of voxels) poses serious modeling challenges and considerable computational constraints. For the sake of feasibility, standard models typically reduce dimensionality by modeling covariance among regions of interest (ROI","authors_text":"Hernando Ombao, Marc G. Genton, Stefano Castruccio","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-02-07T22:18:45Z","title":"A Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.02435","kind":"arxiv","version":3},"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":"sha256:22e428711b08113cf458b2fe4d10edce0b8a723dcb5315c59eb3c972c8fbb725","target":"record","created_at":"2026-05-18T01:12:25Z","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":"e65b4f38ed2cc1a0dda46d92c168aadf1aa60be3ba717e2faa16582b41cdae1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-02-07T22:18:45Z","title_canon_sha256":"66c39574a1da4ee4e5b5c58be1b093edf2d4afd45d10fd9d39b68526540d326a"},"schema_version":"1.0","source":{"id":"1602.02435","kind":"arxiv","version":3}},"canonical_sha256":"d449ae090c3c8d54bf361095b37d143cc7dc8cce19e8b1de95060234b7deeaf0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d449ae090c3c8d54bf361095b37d143cc7dc8cce19e8b1de95060234b7deeaf0","first_computed_at":"2026-05-18T01:12:25.031256Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:25.031256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0FGR1YNqmcMCsHgsAt65iRNulBV8t04YEBoGUAK6RnnjBXOPkXf0bAcGvsj5+fTJTQ9XoqOijemonbmBUKfjAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:25.031616Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.02435","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22e428711b08113cf458b2fe4d10edce0b8a723dcb5315c59eb3c972c8fbb725","sha256:91661be511b3b93a979ff88d37ee999ca772c3113b7501c4cabdad4195820d41"],"state_sha256":"232bc8059c9ec7f66ce4760b15f5e7e60b7414e989cc858232699a65d77c885a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J50jaH+pqx1zGh7irqzZtKfQ9WYUf+/v1Dqo+kaKzxkik8L3vwHcRnw91VgbnA+gW5skN0ay8H214WbV1D70Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:40:40.780286Z","bundle_sha256":"d40e5e9d44e91eb94632d0d23fff768ee6df699900357f504ca07f3465070595"}}