{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:45NP4ZN42IDKMZIOW4QTHTO6CR","short_pith_number":"pith:45NP4ZN4","schema_version":"1.0","canonical_sha256":"e75afe65bcd206a6650eb72133cdde144d9f650b38b332a28b4a088c3b8b10e5","source":{"kind":"arxiv","id":"1806.01943","version":1},"attestation_state":"computed","paper":{"title":"Cloning Algorithms: from Large Deviations to Population Dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Esteban Guevara Hidalgo","submitted_at":"2018-06-05T21:48:05Z","abstract_excerpt":"Population dynamics provides a numerical tool allowing for the study of rare events by means of simulating a large number of copies of the system, supplemented with a selection rule that favours the rare trajectories of interest. The cloning algorithm allows the estimation of a large deviation function (LDF) of additive observables in Markov processes. However, such algorithms are plagued by finite simulation time $t$ and finite population size $N_c$ effects that can render their use delicate. First, using a non-constant population approach, we analyze the small-$N_c$ effects in the initial tr"},"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":"1806.01943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2018-06-05T21:48:05Z","cross_cats_sorted":[],"title_canon_sha256":"4664e3a8bfc1f11cdbd9cd841dba272adb2bcdb904ff62ca1c5066e4498fd7a7","abstract_canon_sha256":"f5e3c8ec7f894b9c90b5075e464371387cd0a9675cedde7d2e4b1c878ac5a132"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:03.347171Z","signature_b64":"ss++XNsxHS3T7JcyIjVr65MYKp8YVkHQf69FUCvaPx2vhApaq04ykK/9EudZr3eNFMi/hNcn2xNzMk20/WyBAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e75afe65bcd206a6650eb72133cdde144d9f650b38b332a28b4a088c3b8b10e5","last_reissued_at":"2026-05-18T00:14:03.346380Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:03.346380Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cloning Algorithms: from Large Deviations to Population Dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Esteban Guevara Hidalgo","submitted_at":"2018-06-05T21:48:05Z","abstract_excerpt":"Population dynamics provides a numerical tool allowing for the study of rare events by means of simulating a large number of copies of the system, supplemented with a selection rule that favours the rare trajectories of interest. The cloning algorithm allows the estimation of a large deviation function (LDF) of additive observables in Markov processes. However, such algorithms are plagued by finite simulation time $t$ and finite population size $N_c$ effects that can render their use delicate. First, using a non-constant population approach, we analyze the small-$N_c$ effects in the initial tr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.01943","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":"1806.01943","created_at":"2026-05-18T00:14:03.346516+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.01943v1","created_at":"2026-05-18T00:14:03.346516+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.01943","created_at":"2026-05-18T00:14:03.346516+00:00"},{"alias_kind":"pith_short_12","alias_value":"45NP4ZN42IDK","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_16","alias_value":"45NP4ZN42IDKMZIO","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_8","alias_value":"45NP4ZN4","created_at":"2026-05-18T12:32:05.422762+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/45NP4ZN42IDKMZIOW4QTHTO6CR","json":"https://pith.science/pith/45NP4ZN42IDKMZIOW4QTHTO6CR.json","graph_json":"https://pith.science/api/pith-number/45NP4ZN42IDKMZIOW4QTHTO6CR/graph.json","events_json":"https://pith.science/api/pith-number/45NP4ZN42IDKMZIOW4QTHTO6CR/events.json","paper":"https://pith.science/paper/45NP4ZN4"},"agent_actions":{"view_html":"https://pith.science/pith/45NP4ZN42IDKMZIOW4QTHTO6CR","download_json":"https://pith.science/pith/45NP4ZN42IDKMZIOW4QTHTO6CR.json","view_paper":"https://pith.science/paper/45NP4ZN4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.01943&json=true","fetch_graph":"https://pith.science/api/pith-number/45NP4ZN42IDKMZIOW4QTHTO6CR/graph.json","fetch_events":"https://pith.science/api/pith-number/45NP4ZN42IDKMZIOW4QTHTO6CR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/45NP4ZN42IDKMZIOW4QTHTO6CR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/45NP4ZN42IDKMZIOW4QTHTO6CR/action/storage_attestation","attest_author":"https://pith.science/pith/45NP4ZN42IDKMZIOW4QTHTO6CR/action/author_attestation","sign_citation":"https://pith.science/pith/45NP4ZN42IDKMZIOW4QTHTO6CR/action/citation_signature","submit_replication":"https://pith.science/pith/45NP4ZN42IDKMZIOW4QTHTO6CR/action/replication_record"}},"created_at":"2026-05-18T00:14:03.346516+00:00","updated_at":"2026-05-18T00:14:03.346516+00:00"}