{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:4VUMT7V72UZUMINFWZO62CNUY2","short_pith_number":"pith:4VUMT7V7","schema_version":"1.0","canonical_sha256":"e568c9febfd5334621a5b65ded09b4c690b145ee708d3c0b4e430b3bbe1b7985","source":{"kind":"arxiv","id":"1605.02645","version":1},"attestation_state":"computed","paper":{"title":"Sequential motif profile of natural visibility graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.data-an","authors_text":"Jacopo Iacovacci, Lucas Lacasa","submitted_at":"2016-05-09T16:18:31Z","abstract_excerpt":"The concept of sequential visibility graph motifs -subgraphs appearing with characteristic frequencies in the visibility graphs associated to time series- has been advanced recently along with a theoretical framework to compute analytically the motif profiles associated to Horizontal Visibility Graphs (HVGs). Here we develop a theory to compute the profile of sequential visibility graph motifs in the context of Natural Visibility Graphs (VGs). This theory gives exact results for deterministic aperiodic processes with a smooth invariant density or stochastic processes that fulfil the Markov pro"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1605.02645","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2016-05-09T16:18:31Z","cross_cats_sorted":[],"title_canon_sha256":"5553639b49f9a872c445beef27a6868c393bb4fc533e89a680c92a3a203c1c27","abstract_canon_sha256":"27b2c0365319925f883171fd4c7eddf8ffdc4dcc825c4b80abf845175c1a76a2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:54:36.617783Z","signature_b64":"mABZD5c7ETZYvR53S9JjCeif8tUOWkypxNuJflrTfIjYgVciHi6QKVprNc1s29WBYHPbVI/5Kkw9eez98wvLCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e568c9febfd5334621a5b65ded09b4c690b145ee708d3c0b4e430b3bbe1b7985","last_reissued_at":"2026-05-18T00:54:36.617352Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:54:36.617352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sequential motif profile of natural visibility graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.data-an","authors_text":"Jacopo Iacovacci, Lucas Lacasa","submitted_at":"2016-05-09T16:18:31Z","abstract_excerpt":"The concept of sequential visibility graph motifs -subgraphs appearing with characteristic frequencies in the visibility graphs associated to time series- has been advanced recently along with a theoretical framework to compute analytically the motif profiles associated to Horizontal Visibility Graphs (HVGs). Here we develop a theory to compute the profile of sequential visibility graph motifs in the context of Natural Visibility Graphs (VGs). This theory gives exact results for deterministic aperiodic processes with a smooth invariant density or stochastic processes that fulfil the Markov pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.02645","kind":"arxiv","version":1},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1605.02645","created_at":"2026-05-18T00:54:36.617410+00:00"},{"alias_kind":"arxiv_version","alias_value":"1605.02645v1","created_at":"2026-05-18T00:54:36.617410+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.02645","created_at":"2026-05-18T00:54:36.617410+00:00"},{"alias_kind":"pith_short_12","alias_value":"4VUMT7V72UZU","created_at":"2026-05-18T12:29:58.707656+00:00"},{"alias_kind":"pith_short_16","alias_value":"4VUMT7V72UZUMINF","created_at":"2026-05-18T12:29:58.707656+00:00"},{"alias_kind":"pith_short_8","alias_value":"4VUMT7V7","created_at":"2026-05-18T12:29:58.707656+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2","json":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2.json","graph_json":"https://pith.science/api/pith-number/4VUMT7V72UZUMINFWZO62CNUY2/graph.json","events_json":"https://pith.science/api/pith-number/4VUMT7V72UZUMINFWZO62CNUY2/events.json","paper":"https://pith.science/paper/4VUMT7V7"},"agent_actions":{"view_html":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2","download_json":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2.json","view_paper":"https://pith.science/paper/4VUMT7V7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1605.02645&json=true","fetch_graph":"https://pith.science/api/pith-number/4VUMT7V72UZUMINFWZO62CNUY2/graph.json","fetch_events":"https://pith.science/api/pith-number/4VUMT7V72UZUMINFWZO62CNUY2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2/action/storage_attestation","attest_author":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2/action/author_attestation","sign_citation":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2/action/citation_signature","submit_replication":"https://pith.science/pith/4VUMT7V72UZUMINFWZO62CNUY2/action/replication_record"}},"created_at":"2026-05-18T00:54:36.617410+00:00","updated_at":"2026-05-18T00:54:36.617410+00:00"}