{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:4WIKZ6QC3LQQIBJCU2WJMG5PA5","short_pith_number":"pith:4WIKZ6QC","schema_version":"1.0","canonical_sha256":"e590acfa02dae1040522a6ac961baf075730cd219f75bc88d9087b22843ae639","source":{"kind":"arxiv","id":"2101.12156","version":1},"attestation_state":"computed","paper":{"title":"Sequential Monte Carlo algorithms for agent-based models of disease transmission","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.CG","q-bio.PE","stat.ME"],"primary_cat":"stat.CO","authors_text":"Jeremy Heng, Nianqiao Ju, Pierre E. Jacob","submitted_at":"2021-01-28T18:08:20Z","abstract_excerpt":"Agent-based models of disease transmission involve stochastic rules that specify how a number of individuals would infect one another, recover or be removed from the population. Common yet stringent assumptions stipulate interchangeability of agents and that all pairwise contact are equally likely. Under these assumptions, the population can be summarized by counting the number of susceptible and infected individuals, which greatly facilitates statistical inference. We consider the task of inference without such simplifying assumptions, in which case, the population cannot be summarized by low"},"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":"2101.12156","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2021-01-28T18:08:20Z","cross_cats_sorted":["nlin.CG","q-bio.PE","stat.ME"],"title_canon_sha256":"2acaa802e8c12990a8fc55f65c105cfc280aa0060882151f4e1cbc83ee1af5f4","abstract_canon_sha256":"52d685cb2bd7ea320099e3af1c8f89afc9ae547d0b35c91c598231edea15065f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:10:34.760022Z","signature_b64":"pxLUEcJepydhv2H1gZ2+slm1X8AV489DCZwar7kQzp5eZxtqID+R74EBWy+BfxEPV/0Jcbu50cC0g/YvAjjhBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e590acfa02dae1040522a6ac961baf075730cd219f75bc88d9087b22843ae639","last_reissued_at":"2026-07-05T02:10:34.759658Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:10:34.759658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sequential Monte Carlo algorithms for agent-based models of disease transmission","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.CG","q-bio.PE","stat.ME"],"primary_cat":"stat.CO","authors_text":"Jeremy Heng, Nianqiao Ju, Pierre E. Jacob","submitted_at":"2021-01-28T18:08:20Z","abstract_excerpt":"Agent-based models of disease transmission involve stochastic rules that specify how a number of individuals would infect one another, recover or be removed from the population. Common yet stringent assumptions stipulate interchangeability of agents and that all pairwise contact are equally likely. Under these assumptions, the population can be summarized by counting the number of susceptible and infected individuals, which greatly facilitates statistical inference. We consider the task of inference without such simplifying assumptions, in which case, the population cannot be summarized by low"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.12156","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2101.12156/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2101.12156","created_at":"2026-07-05T02:10:34.759719+00:00"},{"alias_kind":"arxiv_version","alias_value":"2101.12156v1","created_at":"2026-07-05T02:10:34.759719+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.12156","created_at":"2026-07-05T02:10:34.759719+00:00"},{"alias_kind":"pith_short_12","alias_value":"4WIKZ6QC3LQQ","created_at":"2026-07-05T02:10:34.759719+00:00"},{"alias_kind":"pith_short_16","alias_value":"4WIKZ6QC3LQQIBJC","created_at":"2026-07-05T02:10:34.759719+00:00"},{"alias_kind":"pith_short_8","alias_value":"4WIKZ6QC","created_at":"2026-07-05T02:10:34.759719+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.18239","citing_title":"Backward Filtering Forward Guiding","ref_index":28,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5","json":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5.json","graph_json":"https://pith.science/api/pith-number/4WIKZ6QC3LQQIBJCU2WJMG5PA5/graph.json","events_json":"https://pith.science/api/pith-number/4WIKZ6QC3LQQIBJCU2WJMG5PA5/events.json","paper":"https://pith.science/paper/4WIKZ6QC"},"agent_actions":{"view_html":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5","download_json":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5.json","view_paper":"https://pith.science/paper/4WIKZ6QC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2101.12156&json=true","fetch_graph":"https://pith.science/api/pith-number/4WIKZ6QC3LQQIBJCU2WJMG5PA5/graph.json","fetch_events":"https://pith.science/api/pith-number/4WIKZ6QC3LQQIBJCU2WJMG5PA5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5/action/storage_attestation","attest_author":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5/action/author_attestation","sign_citation":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5/action/citation_signature","submit_replication":"https://pith.science/pith/4WIKZ6QC3LQQIBJCU2WJMG5PA5/action/replication_record"}},"created_at":"2026-07-05T02:10:34.759719+00:00","updated_at":"2026-07-05T02:10:34.759719+00:00"}