{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ZILV7WKWPBILRXPWM5LJ3NHE5Q","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":"b21e1267ac4da849eb76935d42b9fb42c076f189f14d4d1afc096bcfaaec18ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-12-05T09:05:26Z","title_canon_sha256":"0c1c4d080ebf91457961ea5ddc28b6cd749f052093c6bb14e84badc2d382eb22"},"schema_version":"1.0","source":{"id":"2212.02107","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.02107","created_at":"2026-06-23T02:13:11Z"},{"alias_kind":"arxiv_version","alias_value":"2212.02107v2","created_at":"2026-06-23T02:13:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.02107","created_at":"2026-06-23T02:13:11Z"},{"alias_kind":"pith_short_12","alias_value":"ZILV7WKWPBIL","created_at":"2026-06-23T02:13:11Z"},{"alias_kind":"pith_short_16","alias_value":"ZILV7WKWPBILRXPW","created_at":"2026-06-23T02:13:11Z"},{"alias_kind":"pith_short_8","alias_value":"ZILV7WKW","created_at":"2026-06-23T02:13:11Z"}],"graph_snapshots":[{"event_id":"sha256:7ed67d26ffab11884a6c47afc4d2818f4bbfaebfb3ac1a859eea55259840def0","target":"graph","created_at":"2026-06-23T02:13:11Z","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/2212.02107/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Matrix-valued time series data are frequently observed in a broad range of areas and have attracted great attention recently. In this work, we model network effects for high dimensional matrix-valued time series data in a matrix autoregression framework. To characterize the potential heterogeneity of the subjects and handle the high dimensionality simultaneously, we assume that each subject has a latent group label, which enables us to cluster the subject into the corresponding row and column groups. We propose a group matrix network autoregression (GMNAR) model, which assumes that the subject","authors_text":"Ganggang Xu, Xuening Zhu, Yanyuan Ma, Yimeng Ren","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-12-05T09:05:26Z","title":"Matrix-valued Network Autoregression Model with Latent Group Structure"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.02107","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:c0c1168f38c42a39d971d0c5dafef6fc3daa765db176eaca39d2285333c068ec","target":"record","created_at":"2026-06-23T02:13:11Z","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":"b21e1267ac4da849eb76935d42b9fb42c076f189f14d4d1afc096bcfaaec18ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-12-05T09:05:26Z","title_canon_sha256":"0c1c4d080ebf91457961ea5ddc28b6cd749f052093c6bb14e84badc2d382eb22"},"schema_version":"1.0","source":{"id":"2212.02107","kind":"arxiv","version":2}},"canonical_sha256":"ca175fd9567850b8ddf667569db4e4ec181f654eb667335e7ffb3e7a64240181","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca175fd9567850b8ddf667569db4e4ec181f654eb667335e7ffb3e7a64240181","first_computed_at":"2026-06-23T02:13:11.670132Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:11.670132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+YkpdM3Y+CUmijJ8NNPJ3CYM3uFuLpuwKWqw8Bdqz+bYFIh0gCUrWjDSdiHEEDZaUyTTTHiXTNLuyUHz6j0LCw==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:11.670491Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.02107","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0c1168f38c42a39d971d0c5dafef6fc3daa765db176eaca39d2285333c068ec","sha256:7ed67d26ffab11884a6c47afc4d2818f4bbfaebfb3ac1a859eea55259840def0"],"state_sha256":"6231445493b5adf213d33c85eff792f451da9a0f4001c7c084a7bd8b1ac8e351"}