{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:QF535JNANHOK5DH3OIX7CLBUWN","short_pith_number":"pith:QF535JNA","schema_version":"1.0","canonical_sha256":"817bbea5a069dcae8cfb722ff12c34b3779f9117925a5dd615cc4a0538a40071","source":{"kind":"arxiv","id":"2010.16004","version":1},"attestation_state":"computed","paper":{"title":"COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MA","cs.SI"],"primary_cat":"cs.CY","authors_text":"Abhinav Sharma, Akshay Patel, Andrew Williams, Bernhard Sch\\\"olkopf, Christopher Pal, David Buckeridge, Eilif B. Muller, Ga\\'etan Marceau Caron, Hannah Alsdurf, Irina Rish, Jian Tang, Joanna Merckx, Joumana Ghosn, Marc-Andre Rousseau, Martin Weiss, Meng Qu, Nanor Minoyan, Nasim Rahaman, Olexa Bilaniuk, Pierre Luc Carrier, Pierre-Luc St. Charles, Prateek Gupta, Satya Ortiz-Gagn\\'e, Soren Harnois-Leblanc, Tegan Maharaj, Tristan Deleu, Victor Schmidt, Yang Zhang, Yoshua Bengio","submitted_at":"2020-10-30T00:47:01Z","abstract_excerpt":"The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact tracing (DCT) methods have emerged as a component of the solution. In order to make informed public health choices, there is a need for tools which allow evaluation and comparison of DCT methods. We introduce an agent-based compartmental simulator we call COVI-AgentSim, integrating detailed consideration of virology, disease progression, social contact networks, and mobility patterns, based on parameters derived from empirical research."},"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":"2010.16004","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2020-10-30T00:47:01Z","cross_cats_sorted":["cs.LG","cs.MA","cs.SI"],"title_canon_sha256":"9bb71cbb19fa76a305dbf5244fe8e262ac1fc4911f4d73c0f7ca912496b5fbb3","abstract_canon_sha256":"78283dad2271f6da7385cdd3b7ce76337ac52b36006f27f74c864765d3353c27"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:47:48.217274Z","signature_b64":"EL3kN+Simz4473Q1DQPhZ71Y5UkUEvH4afEhjA4b8mbf41oaI6qJY9/8Y+StQDbRwLmXI+Rol0jMcCsDgz0EBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"817bbea5a069dcae8cfb722ff12c34b3779f9117925a5dd615cc4a0538a40071","last_reissued_at":"2026-07-05T01:47:48.216863Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:47:48.216863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MA","cs.SI"],"primary_cat":"cs.CY","authors_text":"Abhinav Sharma, Akshay Patel, Andrew Williams, Bernhard Sch\\\"olkopf, Christopher Pal, David Buckeridge, Eilif B. Muller, Ga\\'etan Marceau Caron, Hannah Alsdurf, Irina Rish, Jian Tang, Joanna Merckx, Joumana Ghosn, Marc-Andre Rousseau, Martin Weiss, Meng Qu, Nanor Minoyan, Nasim Rahaman, Olexa Bilaniuk, Pierre Luc Carrier, Pierre-Luc St. Charles, Prateek Gupta, Satya Ortiz-Gagn\\'e, Soren Harnois-Leblanc, Tegan Maharaj, Tristan Deleu, Victor Schmidt, Yang Zhang, Yoshua Bengio","submitted_at":"2020-10-30T00:47:01Z","abstract_excerpt":"The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact tracing (DCT) methods have emerged as a component of the solution. In order to make informed public health choices, there is a need for tools which allow evaluation and comparison of DCT methods. We introduce an agent-based compartmental simulator we call COVI-AgentSim, integrating detailed consideration of virology, disease progression, social contact networks, and mobility patterns, based on parameters derived from empirical research."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.16004","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/2010.16004/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":"2010.16004","created_at":"2026-07-05T01:47:48.216923+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.16004v1","created_at":"2026-07-05T01:47:48.216923+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.16004","created_at":"2026-07-05T01:47:48.216923+00:00"},{"alias_kind":"pith_short_12","alias_value":"QF535JNANHOK","created_at":"2026-07-05T01:47:48.216923+00:00"},{"alias_kind":"pith_short_16","alias_value":"QF535JNANHOK5DH3","created_at":"2026-07-05T01:47:48.216923+00:00"},{"alias_kind":"pith_short_8","alias_value":"QF535JNA","created_at":"2026-07-05T01:47:48.216923+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/QF535JNANHOK5DH3OIX7CLBUWN","json":"https://pith.science/pith/QF535JNANHOK5DH3OIX7CLBUWN.json","graph_json":"https://pith.science/api/pith-number/QF535JNANHOK5DH3OIX7CLBUWN/graph.json","events_json":"https://pith.science/api/pith-number/QF535JNANHOK5DH3OIX7CLBUWN/events.json","paper":"https://pith.science/paper/QF535JNA"},"agent_actions":{"view_html":"https://pith.science/pith/QF535JNANHOK5DH3OIX7CLBUWN","download_json":"https://pith.science/pith/QF535JNANHOK5DH3OIX7CLBUWN.json","view_paper":"https://pith.science/paper/QF535JNA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.16004&json=true","fetch_graph":"https://pith.science/api/pith-number/QF535JNANHOK5DH3OIX7CLBUWN/graph.json","fetch_events":"https://pith.science/api/pith-number/QF535JNANHOK5DH3OIX7CLBUWN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QF535JNANHOK5DH3OIX7CLBUWN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QF535JNANHOK5DH3OIX7CLBUWN/action/storage_attestation","attest_author":"https://pith.science/pith/QF535JNANHOK5DH3OIX7CLBUWN/action/author_attestation","sign_citation":"https://pith.science/pith/QF535JNANHOK5DH3OIX7CLBUWN/action/citation_signature","submit_replication":"https://pith.science/pith/QF535JNANHOK5DH3OIX7CLBUWN/action/replication_record"}},"created_at":"2026-07-05T01:47:48.216923+00:00","updated_at":"2026-07-05T01:47:48.216923+00:00"}