{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:E5L6RYXGFVNZ7OWRIBDZEJEHZA","short_pith_number":"pith:E5L6RYXG","canonical_record":{"source":{"id":"1802.03987","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-12T11:39:14Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"bd8d3a442eb7d0f59b58cd6f28ab920c7b8383f80cdd6b3dbe44d12f2abba730","abstract_canon_sha256":"ab886d7257dcfd773b098d95f0d3bcf5b5d0a05533870948307eee54b0ce8fc6"},"schema_version":"1.0"},"canonical_sha256":"2757e8e2e62d5b9fbad14047922487c81ac540cc5f4c5c80249fa650fda0a69e","source":{"kind":"arxiv","id":"1802.03987","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.03987","created_at":"2026-05-18T00:09:04Z"},{"alias_kind":"arxiv_version","alias_value":"1802.03987v2","created_at":"2026-05-18T00:09:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.03987","created_at":"2026-05-18T00:09:04Z"},{"alias_kind":"pith_short_12","alias_value":"E5L6RYXGFVNZ","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"E5L6RYXGFVNZ7OWR","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"E5L6RYXG","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:E5L6RYXGFVNZ7OWRIBDZEJEHZA","target":"record","payload":{"canonical_record":{"source":{"id":"1802.03987","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-12T11:39:14Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"bd8d3a442eb7d0f59b58cd6f28ab920c7b8383f80cdd6b3dbe44d12f2abba730","abstract_canon_sha256":"ab886d7257dcfd773b098d95f0d3bcf5b5d0a05533870948307eee54b0ce8fc6"},"schema_version":"1.0"},"canonical_sha256":"2757e8e2e62d5b9fbad14047922487c81ac540cc5f4c5c80249fa650fda0a69e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:04.038766Z","signature_b64":"867N/CRCZTULEIz6BiAuISG4gbFUGFttT20wjgwpb+eDA2blwowjhxgBxsztdKt3pJcW50PeVpGemSk3dye6DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2757e8e2e62d5b9fbad14047922487c81ac540cc5f4c5c80249fa650fda0a69e","last_reissued_at":"2026-05-18T00:09:04.038056Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:04.038056Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.03987","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:09:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"agzLmUkX87EKN9+Ubaf69VlOSoxqrCR638f9eOFSXeIceQuN6M0putk4U/4KmDR9c8bq4MYRxPoVYR+Sa6tVDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T10:30:15.518559Z"},"content_sha256":"f10e9759c741fcda9aa9458eea61dec18a56a929ce9247fdb2a1e9df5cea2e17","schema_version":"1.0","event_id":"sha256:f10e9759c741fcda9aa9458eea61dec18a56a929ce9247fdb2a1e9df5cea2e17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:E5L6RYXGFVNZ7OWRIBDZEJEHZA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Latent Variable Time-varying Network Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Alessandro Verri, Federico Tomasi, Saverio Salzo, Veronica Tozzo","submitted_at":"2018-02-12T11:39:14Z","abstract_excerpt":"In many applications of finance, biology and sociology, complex systems involve entities interacting with each other. These processes have the peculiarity of evolving over time and of comprising latent factors, which influence the system without being explicitly measured. In this work we present latent variable time-varying graphical lasso (LTGL), a method for multivariate time-series graphical modelling that considers the influence of hidden or unmeasurable factors. The estimation of the contribution of the latent factors is embedded in the model which produces both sparse and low-rank compon"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.03987","kind":"arxiv","version":2},"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":"2026-05-18T00:09:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KAti59N2gznNF+N3VxK7tnFZ74xNfGtvKXCj2d3y+hiJ1eWqmHW+x8KiX94ZN+OySY0XD0VXuG5IB0BgO5yTCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T10:30:15.519270Z"},"content_sha256":"49bec7c630bf2a22ee5595e3a259bce4c239709e4bcdb2bfa173888afc54acd4","schema_version":"1.0","event_id":"sha256:49bec7c630bf2a22ee5595e3a259bce4c239709e4bcdb2bfa173888afc54acd4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E5L6RYXGFVNZ7OWRIBDZEJEHZA/bundle.json","state_url":"https://pith.science/pith/E5L6RYXGFVNZ7OWRIBDZEJEHZA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E5L6RYXGFVNZ7OWRIBDZEJEHZA/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":"2026-06-10T10:30:15Z","links":{"resolver":"https://pith.science/pith/E5L6RYXGFVNZ7OWRIBDZEJEHZA","bundle":"https://pith.science/pith/E5L6RYXGFVNZ7OWRIBDZEJEHZA/bundle.json","state":"https://pith.science/pith/E5L6RYXGFVNZ7OWRIBDZEJEHZA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E5L6RYXGFVNZ7OWRIBDZEJEHZA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:E5L6RYXGFVNZ7OWRIBDZEJEHZA","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":"ab886d7257dcfd773b098d95f0d3bcf5b5d0a05533870948307eee54b0ce8fc6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-12T11:39:14Z","title_canon_sha256":"bd8d3a442eb7d0f59b58cd6f28ab920c7b8383f80cdd6b3dbe44d12f2abba730"},"schema_version":"1.0","source":{"id":"1802.03987","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.03987","created_at":"2026-05-18T00:09:04Z"},{"alias_kind":"arxiv_version","alias_value":"1802.03987v2","created_at":"2026-05-18T00:09:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.03987","created_at":"2026-05-18T00:09:04Z"},{"alias_kind":"pith_short_12","alias_value":"E5L6RYXGFVNZ","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"E5L6RYXGFVNZ7OWR","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"E5L6RYXG","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:49bec7c630bf2a22ee5595e3a259bce4c239709e4bcdb2bfa173888afc54acd4","target":"graph","created_at":"2026-05-18T00:09:04Z","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"},"paper":{"abstract_excerpt":"In many applications of finance, biology and sociology, complex systems involve entities interacting with each other. These processes have the peculiarity of evolving over time and of comprising latent factors, which influence the system without being explicitly measured. In this work we present latent variable time-varying graphical lasso (LTGL), a method for multivariate time-series graphical modelling that considers the influence of hidden or unmeasurable factors. The estimation of the contribution of the latent factors is embedded in the model which produces both sparse and low-rank compon","authors_text":"Alessandro Verri, Federico Tomasi, Saverio Salzo, Veronica Tozzo","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-12T11:39:14Z","title":"Latent Variable Time-varying Network Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.03987","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:f10e9759c741fcda9aa9458eea61dec18a56a929ce9247fdb2a1e9df5cea2e17","target":"record","created_at":"2026-05-18T00:09:04Z","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":"ab886d7257dcfd773b098d95f0d3bcf5b5d0a05533870948307eee54b0ce8fc6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-12T11:39:14Z","title_canon_sha256":"bd8d3a442eb7d0f59b58cd6f28ab920c7b8383f80cdd6b3dbe44d12f2abba730"},"schema_version":"1.0","source":{"id":"1802.03987","kind":"arxiv","version":2}},"canonical_sha256":"2757e8e2e62d5b9fbad14047922487c81ac540cc5f4c5c80249fa650fda0a69e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2757e8e2e62d5b9fbad14047922487c81ac540cc5f4c5c80249fa650fda0a69e","first_computed_at":"2026-05-18T00:09:04.038056Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:04.038056Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"867N/CRCZTULEIz6BiAuISG4gbFUGFttT20wjgwpb+eDA2blwowjhxgBxsztdKt3pJcW50PeVpGemSk3dye6DQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:04.038766Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.03987","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f10e9759c741fcda9aa9458eea61dec18a56a929ce9247fdb2a1e9df5cea2e17","sha256:49bec7c630bf2a22ee5595e3a259bce4c239709e4bcdb2bfa173888afc54acd4"],"state_sha256":"b6a5827ea0e75cf91e3506caeee59b8b0b0bc1c1b6a463443c92c853db7057f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CluEtwz6kVv5/R8EDHBhlBAz8nYgySqflLF1rejadY1XXFgpztIm5whbz0b6s0onHEhWwbmP+tYD8Mxq93ANAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T10:30:15.523661Z","bundle_sha256":"c2fc139e7f1698837f7ef23dc675e32987bb5520a2c9ee441886529cc0dc7428"}}