{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:SC2TSEOD6L2B6LBCAD4OTE7LMN","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":"3baeda2733e210885ef5d93a528bcd6751102e26fb7989d912783f9995db1f6d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2021-01-13T00:05:56Z","title_canon_sha256":"00b99201602ddf156645c12c9580d56db48254b22a8f723b7c85f86f0ee8e645"},"schema_version":"1.0","source":{"id":"2101.04809","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.04809","created_at":"2026-07-05T02:06:35Z"},{"alias_kind":"arxiv_version","alias_value":"2101.04809v1","created_at":"2026-07-05T02:06:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.04809","created_at":"2026-07-05T02:06:35Z"},{"alias_kind":"pith_short_12","alias_value":"SC2TSEOD6L2B","created_at":"2026-07-05T02:06:35Z"},{"alias_kind":"pith_short_16","alias_value":"SC2TSEOD6L2B6LBC","created_at":"2026-07-05T02:06:35Z"},{"alias_kind":"pith_short_8","alias_value":"SC2TSEOD","created_at":"2026-07-05T02:06:35Z"}],"graph_snapshots":[{"event_id":"sha256:2ad1953be75e42d8fd7fbf33e63419397f52eec25dec7928dfe52a1be8f4b513","target":"graph","created_at":"2026-07-05T02:06:35Z","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/2101.04809/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Independent component analysis (ICA) is an unsupervised learning method popular in functional magnetic resonance imaging (fMRI). Group ICA has been used to search for biomarkers in neurological disorders including autism spectrum disorder and dementia. However, current methods use a principal component analysis (PCA) step that may remove low-variance features. Linear non-Gaussian component analysis (LNGCA) enables simultaneous dimension reduction and feature estimation including low-variance features in single-subject fMRI. We present a group LNGCA model to extract group components shared by m","authors_text":"Benjamin Risk, David S. Matteson, Mary Beth Nebel, Stewart H. Mostofsky, Yuxuan Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2021-01-13T00:05:56Z","title":"Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.04809","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":"sha256:35456f1bf96c170326ceee9b790d66f24fd33e61c45e074d4b1106f2c0258b15","target":"record","created_at":"2026-07-05T02:06:35Z","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":"3baeda2733e210885ef5d93a528bcd6751102e26fb7989d912783f9995db1f6d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2021-01-13T00:05:56Z","title_canon_sha256":"00b99201602ddf156645c12c9580d56db48254b22a8f723b7c85f86f0ee8e645"},"schema_version":"1.0","source":{"id":"2101.04809","kind":"arxiv","version":1}},"canonical_sha256":"90b53911c3f2f41f2c2200f8e993eb634c57d95815f33d7dbf3f8ea3580c9554","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90b53911c3f2f41f2c2200f8e993eb634c57d95815f33d7dbf3f8ea3580c9554","first_computed_at":"2026-07-05T02:06:35.146128Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:06:35.146128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QwivxUSxjoMedIGIv0+/rizrpL9foOU/7XlPoFs31J39g+TrWzDlLC5aN75ZYoUlaGjUpLiuZMkkeATpqF+0Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:06:35.146518Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.04809","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35456f1bf96c170326ceee9b790d66f24fd33e61c45e074d4b1106f2c0258b15","sha256:2ad1953be75e42d8fd7fbf33e63419397f52eec25dec7928dfe52a1be8f4b513"],"state_sha256":"01d6aa5d41471335b13ae71b4d51037d8920d826538dbe1c05a1352d30b678cc"}