{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:WZRUNM6UMXMFG742QRJWCKV2VG","short_pith_number":"pith:WZRUNM6U","schema_version":"1.0","canonical_sha256":"b66346b3d465d8537f9a8453612abaa9bc47120080de8658cbfff561104a01b6","source":{"kind":"arxiv","id":"1810.11606","version":1},"attestation_state":"computed","paper":{"title":"Langevin dynamics for L\\'evy walk with memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Weihua Deng, Xudong Wang, Yao Chen","submitted_at":"2018-10-27T07:01:44Z","abstract_excerpt":"Memory effects, sometimes, can not be neglected. In the framework of continuous time random walk, memory effect is modeled by the correlated waiting times. In this paper, we derive the two-point probability distribution of the stochastic process with correlated increments as well as the one of its inverse process, and present the Langevin description of L\\'evy walk with memory, i.e., correlated waiting times. Based on the built Langevin picture, the properties of aging and nonstationary are discussed. The Langevin system exhibits sub-ballistic superdiffusion if the friction force is involved, "},"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":"1810.11606","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2018-10-27T07:01:44Z","cross_cats_sorted":[],"title_canon_sha256":"8e3c9aa9c72dea7a85225c36acdc8ee479a11304a2ac379d2bbc0fccc44536f3","abstract_canon_sha256":"571af304337196fae52474ada1240eebcacb1cd6265c04ced5d75696a11d38f5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:43.839265Z","signature_b64":"qOS1WCaxCoqHr4DdidXMXZGoA41ND++CTvS3z+YN2+ZuhzSXvi3iZ2NUEBQG+PtKYSGgG9n5TDGBYOHr0HOyBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b66346b3d465d8537f9a8453612abaa9bc47120080de8658cbfff561104a01b6","last_reissued_at":"2026-05-17T23:55:43.838518Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:43.838518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Langevin dynamics for L\\'evy walk with memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Weihua Deng, Xudong Wang, Yao Chen","submitted_at":"2018-10-27T07:01:44Z","abstract_excerpt":"Memory effects, sometimes, can not be neglected. In the framework of continuous time random walk, memory effect is modeled by the correlated waiting times. In this paper, we derive the two-point probability distribution of the stochastic process with correlated increments as well as the one of its inverse process, and present the Langevin description of L\\'evy walk with memory, i.e., correlated waiting times. Based on the built Langevin picture, the properties of aging and nonstationary are discussed. The Langevin system exhibits sub-ballistic superdiffusion if the friction force is involved, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.11606","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":"1810.11606","created_at":"2026-05-17T23:55:43.838647+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.11606v1","created_at":"2026-05-17T23:55:43.838647+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.11606","created_at":"2026-05-17T23:55:43.838647+00:00"},{"alias_kind":"pith_short_12","alias_value":"WZRUNM6UMXMF","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_16","alias_value":"WZRUNM6UMXMFG742","created_at":"2026-05-18T12:33:01.666342+00:00"},{"alias_kind":"pith_short_8","alias_value":"WZRUNM6U","created_at":"2026-05-18T12:33:01.666342+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/WZRUNM6UMXMFG742QRJWCKV2VG","json":"https://pith.science/pith/WZRUNM6UMXMFG742QRJWCKV2VG.json","graph_json":"https://pith.science/api/pith-number/WZRUNM6UMXMFG742QRJWCKV2VG/graph.json","events_json":"https://pith.science/api/pith-number/WZRUNM6UMXMFG742QRJWCKV2VG/events.json","paper":"https://pith.science/paper/WZRUNM6U"},"agent_actions":{"view_html":"https://pith.science/pith/WZRUNM6UMXMFG742QRJWCKV2VG","download_json":"https://pith.science/pith/WZRUNM6UMXMFG742QRJWCKV2VG.json","view_paper":"https://pith.science/paper/WZRUNM6U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.11606&json=true","fetch_graph":"https://pith.science/api/pith-number/WZRUNM6UMXMFG742QRJWCKV2VG/graph.json","fetch_events":"https://pith.science/api/pith-number/WZRUNM6UMXMFG742QRJWCKV2VG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WZRUNM6UMXMFG742QRJWCKV2VG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WZRUNM6UMXMFG742QRJWCKV2VG/action/storage_attestation","attest_author":"https://pith.science/pith/WZRUNM6UMXMFG742QRJWCKV2VG/action/author_attestation","sign_citation":"https://pith.science/pith/WZRUNM6UMXMFG742QRJWCKV2VG/action/citation_signature","submit_replication":"https://pith.science/pith/WZRUNM6UMXMFG742QRJWCKV2VG/action/replication_record"}},"created_at":"2026-05-17T23:55:43.838647+00:00","updated_at":"2026-05-17T23:55:43.838647+00:00"}