{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JQV266AEE5AL4UZT52NRCZ7GYY","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":"37e895bbe1b938b868838dd0850a466e98c03ffd07059b303c8c631737c5c1b2","cross_cats_sorted":["cs.LG","stat.AP","stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2020-07-25T04:16:34Z","title_canon_sha256":"b99b9988e6c65cb1dee4bd8f287280ce869c3bd08a6e4095e269131f2a44f3d9"},"schema_version":"1.0","source":{"id":"2007.12852","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.12852","created_at":"2026-07-05T01:22:04Z"},{"alias_kind":"arxiv_version","alias_value":"2007.12852v1","created_at":"2026-07-05T01:22:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.12852","created_at":"2026-07-05T01:22:04Z"},{"alias_kind":"pith_short_12","alias_value":"JQV266AEE5AL","created_at":"2026-07-05T01:22:04Z"},{"alias_kind":"pith_short_16","alias_value":"JQV266AEE5AL4UZT","created_at":"2026-07-05T01:22:04Z"},{"alias_kind":"pith_short_8","alias_value":"JQV266AE","created_at":"2026-07-05T01:22:04Z"}],"graph_snapshots":[{"event_id":"sha256:5720f6f7dc56bd00c3771c25b229439088e4232a22e2afa4b31afb0deb0b81c2","target":"graph","created_at":"2026-07-05T01:22:04Z","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/2007.12852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce graph gamma process (GGP) linear dynamical systems to model real-valued multivariate time series. For temporal pattern discovery, the latent representation under the model is used to decompose the time series into a parsimonious set of multivariate sub-sequences. In each sub-sequence, different data dimensions often share similar temporal patterns but may exhibit distinct magnitudes, and hence allowing the superposition of all sub-sequences to exhibit diverse behaviors at different data dimensions. We further generalize the proposed model by replacing the Gaussian observation laye","authors_text":"Mingyuan Zhou, Rahi Kalantari","cross_cats":["cs.LG","stat.AP","stat.CO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2020-07-25T04:16:34Z","title":"Graph Gamma Process Generalized Linear Dynamical Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.12852","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":"sha256:96bc20fe5a5ee9caed0012755e6b12b4d4d0aeae6f8a4bc2fba043c1cb1d8b30","target":"record","created_at":"2026-07-05T01:22:04Z","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":"37e895bbe1b938b868838dd0850a466e98c03ffd07059b303c8c631737c5c1b2","cross_cats_sorted":["cs.LG","stat.AP","stat.CO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2020-07-25T04:16:34Z","title_canon_sha256":"b99b9988e6c65cb1dee4bd8f287280ce869c3bd08a6e4095e269131f2a44f3d9"},"schema_version":"1.0","source":{"id":"2007.12852","kind":"arxiv","version":1}},"canonical_sha256":"4c2baf78042740be5333ee9b1167e6c611ec95850a4064898186edd548b89706","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c2baf78042740be5333ee9b1167e6c611ec95850a4064898186edd548b89706","first_computed_at":"2026-07-05T01:22:04.445528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:22:04.445528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IRemCRs5cDzdLR88vUDG2GvHhRcqTCPYskxhaVen9bupDuNLGRLQqBZsAbrpdEUhwjg7uiUPEOESilXgbBTYBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:22:04.445907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.12852","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96bc20fe5a5ee9caed0012755e6b12b4d4d0aeae6f8a4bc2fba043c1cb1d8b30","sha256:5720f6f7dc56bd00c3771c25b229439088e4232a22e2afa4b31afb0deb0b81c2"],"state_sha256":"9a69d9825859aa788223e967c1f33b348dba8a7feb4a31445b78250179fb13cb"}