{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:U6EMCSZQVT2O6OTOGHCHLU25YS","short_pith_number":"pith:U6EMCSZQ","schema_version":"1.0","canonical_sha256":"a788c14b30acf4ef3a6e31c475d35dc4b90f13d1b81789350fdcd55aec324e1b","source":{"kind":"arxiv","id":"1801.08416","version":2},"attestation_state":"computed","paper":{"title":"Differential symbolic entropy in nonlinear dynamics complexity analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.data-an","authors_text":"Jun Wang, Wenpo Yao","submitted_at":"2018-01-24T01:48:27Z","abstract_excerpt":"Differential symbolic entropy, a measure for nonlinear dynamics complexity, is proposed in our contribution. With flexible controlling parameter, the chaotic deterministic measure takes advantage of local nonlinear dynamical information among three adjacent elements to extract nonlinear complexity. In nonlinear complexity detections of chaotic logistic series, DSEn (differential symbolic entropy) has satisfied complexity extractions with the changes of chaotic features of logistic map. In nonlinear analysis of real-world physiological heart signals, three kinds of heart rates are significantly"},"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":"1801.08416","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2018-01-24T01:48:27Z","cross_cats_sorted":[],"title_canon_sha256":"a5cd799c77796a29d753e4ee704aefc19e07e2df93ff343e715958994b2fd316","abstract_canon_sha256":"1f2e9ab5f05b55298ef298c464df2acca333a3c4761199e3261a6d3aa0b01162"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:17.715056Z","signature_b64":"MQYvF27MGkyJwtD71PHwZGDx+b5kuMEpQmRnnNffhL1LX20A3keT2qXrc1mBCzH5mmcMuV9+Le6cjIDjS7l6Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a788c14b30acf4ef3a6e31c475d35dc4b90f13d1b81789350fdcd55aec324e1b","last_reissued_at":"2026-05-17T23:59:17.714542Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:17.714542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Differential symbolic entropy in nonlinear dynamics complexity analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.data-an","authors_text":"Jun Wang, Wenpo Yao","submitted_at":"2018-01-24T01:48:27Z","abstract_excerpt":"Differential symbolic entropy, a measure for nonlinear dynamics complexity, is proposed in our contribution. With flexible controlling parameter, the chaotic deterministic measure takes advantage of local nonlinear dynamical information among three adjacent elements to extract nonlinear complexity. In nonlinear complexity detections of chaotic logistic series, DSEn (differential symbolic entropy) has satisfied complexity extractions with the changes of chaotic features of logistic map. In nonlinear analysis of real-world physiological heart signals, three kinds of heart rates are significantly"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.08416","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1801.08416","created_at":"2026-05-17T23:59:17.714625+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.08416v2","created_at":"2026-05-17T23:59:17.714625+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.08416","created_at":"2026-05-17T23:59:17.714625+00:00"},{"alias_kind":"pith_short_12","alias_value":"U6EMCSZQVT2O","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_16","alias_value":"U6EMCSZQVT2O6OTO","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_8","alias_value":"U6EMCSZQ","created_at":"2026-05-18T12:32:56.356000+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/U6EMCSZQVT2O6OTOGHCHLU25YS","json":"https://pith.science/pith/U6EMCSZQVT2O6OTOGHCHLU25YS.json","graph_json":"https://pith.science/api/pith-number/U6EMCSZQVT2O6OTOGHCHLU25YS/graph.json","events_json":"https://pith.science/api/pith-number/U6EMCSZQVT2O6OTOGHCHLU25YS/events.json","paper":"https://pith.science/paper/U6EMCSZQ"},"agent_actions":{"view_html":"https://pith.science/pith/U6EMCSZQVT2O6OTOGHCHLU25YS","download_json":"https://pith.science/pith/U6EMCSZQVT2O6OTOGHCHLU25YS.json","view_paper":"https://pith.science/paper/U6EMCSZQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.08416&json=true","fetch_graph":"https://pith.science/api/pith-number/U6EMCSZQVT2O6OTOGHCHLU25YS/graph.json","fetch_events":"https://pith.science/api/pith-number/U6EMCSZQVT2O6OTOGHCHLU25YS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U6EMCSZQVT2O6OTOGHCHLU25YS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U6EMCSZQVT2O6OTOGHCHLU25YS/action/storage_attestation","attest_author":"https://pith.science/pith/U6EMCSZQVT2O6OTOGHCHLU25YS/action/author_attestation","sign_citation":"https://pith.science/pith/U6EMCSZQVT2O6OTOGHCHLU25YS/action/citation_signature","submit_replication":"https://pith.science/pith/U6EMCSZQVT2O6OTOGHCHLU25YS/action/replication_record"}},"created_at":"2026-05-17T23:59:17.714625+00:00","updated_at":"2026-05-17T23:59:17.714625+00:00"}