{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:3UDVT246H2PHK7UYQ2IN4SVWNQ","short_pith_number":"pith:3UDVT246","schema_version":"1.0","canonical_sha256":"dd0759eb9e3e9e757e988690de4ab66c156402b27ff2ae27855a55ec56649a14","source":{"kind":"arxiv","id":"1402.2772","version":2},"attestation_state":"computed","paper":{"title":"Optimization of random search processes in the presence of an external bias","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.bio-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Aleksei V. Chechkin, Ralf Metzler, Vladimir V. Palyulin","submitted_at":"2014-02-12T09:50:00Z","abstract_excerpt":"We study the efficiency of random search processes based on L{\\'e}vy flights with power-law distributed jump lengths in the presence of an external drift, for instance, an underwater current, an airflow, or simply the bias of the searcher based on prior experience. While L\\'evy flights turn out to be efficient search processes when relative to the starting point the target is upstream, in the downstream scenario regular Brownian motion turns out to be advantageous. This is caused by the occurrence of leapovers of L{\\'e}vy flights, due to which L{\\'e}vy flights typically overshoot a point or sm"},"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":"1402.2772","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2014-02-12T09:50:00Z","cross_cats_sorted":["physics.bio-ph"],"title_canon_sha256":"7ab89d5dec0bbd5b42a50f86ea55e4f726b8747d2f4cd5e9d27c14bf8135a68a","abstract_canon_sha256":"f0c120a6be520274bf87e601e34ca2e41f13d917ad9deea8346f75d12483cbfc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:30:40.402473Z","signature_b64":"74gFqRyqQVD5bcgv1aNHKS2LbMBVePdvpdroyrYsMquyPR4BGadQPF8Uolb4SeVQwF4SINTDmmqzF72Di4hFAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd0759eb9e3e9e757e988690de4ab66c156402b27ff2ae27855a55ec56649a14","last_reissued_at":"2026-05-18T02:30:40.402086Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:30:40.402086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimization of random search processes in the presence of an external bias","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.bio-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Aleksei V. Chechkin, Ralf Metzler, Vladimir V. Palyulin","submitted_at":"2014-02-12T09:50:00Z","abstract_excerpt":"We study the efficiency of random search processes based on L{\\'e}vy flights with power-law distributed jump lengths in the presence of an external drift, for instance, an underwater current, an airflow, or simply the bias of the searcher based on prior experience. While L\\'evy flights turn out to be efficient search processes when relative to the starting point the target is upstream, in the downstream scenario regular Brownian motion turns out to be advantageous. This is caused by the occurrence of leapovers of L{\\'e}vy flights, due to which L{\\'e}vy flights typically overshoot a point or sm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.2772","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":"1402.2772","created_at":"2026-05-18T02:30:40.402143+00:00"},{"alias_kind":"arxiv_version","alias_value":"1402.2772v2","created_at":"2026-05-18T02:30:40.402143+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.2772","created_at":"2026-05-18T02:30:40.402143+00:00"},{"alias_kind":"pith_short_12","alias_value":"3UDVT246H2PH","created_at":"2026-05-18T12:28:11.866339+00:00"},{"alias_kind":"pith_short_16","alias_value":"3UDVT246H2PHK7UY","created_at":"2026-05-18T12:28:11.866339+00:00"},{"alias_kind":"pith_short_8","alias_value":"3UDVT246","created_at":"2026-05-18T12:28:11.866339+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/3UDVT246H2PHK7UYQ2IN4SVWNQ","json":"https://pith.science/pith/3UDVT246H2PHK7UYQ2IN4SVWNQ.json","graph_json":"https://pith.science/api/pith-number/3UDVT246H2PHK7UYQ2IN4SVWNQ/graph.json","events_json":"https://pith.science/api/pith-number/3UDVT246H2PHK7UYQ2IN4SVWNQ/events.json","paper":"https://pith.science/paper/3UDVT246"},"agent_actions":{"view_html":"https://pith.science/pith/3UDVT246H2PHK7UYQ2IN4SVWNQ","download_json":"https://pith.science/pith/3UDVT246H2PHK7UYQ2IN4SVWNQ.json","view_paper":"https://pith.science/paper/3UDVT246","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1402.2772&json=true","fetch_graph":"https://pith.science/api/pith-number/3UDVT246H2PHK7UYQ2IN4SVWNQ/graph.json","fetch_events":"https://pith.science/api/pith-number/3UDVT246H2PHK7UYQ2IN4SVWNQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3UDVT246H2PHK7UYQ2IN4SVWNQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3UDVT246H2PHK7UYQ2IN4SVWNQ/action/storage_attestation","attest_author":"https://pith.science/pith/3UDVT246H2PHK7UYQ2IN4SVWNQ/action/author_attestation","sign_citation":"https://pith.science/pith/3UDVT246H2PHK7UYQ2IN4SVWNQ/action/citation_signature","submit_replication":"https://pith.science/pith/3UDVT246H2PHK7UYQ2IN4SVWNQ/action/replication_record"}},"created_at":"2026-05-18T02:30:40.402143+00:00","updated_at":"2026-05-18T02:30:40.402143+00:00"}