{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:AI6EEZOIH2KFQFES7XJDNUGC4D","short_pith_number":"pith:AI6EEZOI","schema_version":"1.0","canonical_sha256":"023c4265c83e94581492fdd236d0c2e0dc1652edde66a9a63894a5af32e7c678","source":{"kind":"arxiv","id":"2605.18092","version":1},"attestation_state":"computed","paper":{"title":"Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Simulations on a geo-referenced synthetic urban network show age-structured contacts produce faster and more pervasive epidemics while distance decay has negligible effects, with preliminary evidence of hierarchical spatial diffusion.","cross_cats":["cs.CE"],"primary_cat":"cs.SI","authors_text":"Alessandro Celestini, Enrico Mastrostefano, Francesca Colaiori, Lena Rebecca Zastrow, Stefano Guarino","submitted_at":"2026-05-18T09:09:07Z","abstract_excerpt":"Network--based epidemic models that account for heterogeneous contact patterns are extensively used to predict and control the diffusion of infectious diseases. We use census and survey data to reconstruct a geo--referenced and age--stratified synthetic urban population connected by stable social relations. We consider two kinds of interactions, distinguishing daily (household) contacts from other frequent contacts. Moreover, we allow any couple of individuals to have rare fortuitous interactions. We simulate the epidemic diffusion on a synthetic urban network for a typical medium-size Italian"},"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":"2605.18092","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2026-05-18T09:09:07Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"b9cfc9569959d729f7e1add5a47e34860d93566b5d1c4f55abfa4e1299e414f0","abstract_canon_sha256":"bbeff4cc131b40ba2d224b67f413ad47081b4f69259a7d4f7ad7ada3a1002bb6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:15.562237Z","signature_b64":"K+P3/0GBuIp3+ZkVuHxRWhdRy9GW5JrwPh2/LRy2NYgXFC4r/Uf1LAFItT/bNycIUOntU8bOTfnNW6LQY/SaCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"023c4265c83e94581492fdd236d0c2e0dc1652edde66a9a63894a5af32e7c678","last_reissued_at":"2026-05-20T00:05:15.561452Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:15.561452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Simulations on a geo-referenced synthetic urban network show age-structured contacts produce faster and more pervasive epidemics while distance decay has negligible effects, with preliminary evidence of hierarchical spatial diffusion.","cross_cats":["cs.CE"],"primary_cat":"cs.SI","authors_text":"Alessandro Celestini, Enrico Mastrostefano, Francesca Colaiori, Lena Rebecca Zastrow, Stefano Guarino","submitted_at":"2026-05-18T09:09:07Z","abstract_excerpt":"Network--based epidemic models that account for heterogeneous contact patterns are extensively used to predict and control the diffusion of infectious diseases. We use census and survey data to reconstruct a geo--referenced and age--stratified synthetic urban population connected by stable social relations. We consider two kinds of interactions, distinguishing daily (household) contacts from other frequent contacts. Moreover, we allow any couple of individuals to have rare fortuitous interactions. We simulate the epidemic diffusion on a synthetic urban network for a typical medium-size Italian"},"claims":{"count":3,"items":[{"kind":"strongest_claim","text":"Introducing age-structured contact patterns results in faster and more pervasive outbreaks, while assuming that the interaction frequency decays with distance has only negligible effects.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The synthetic population and its contact patterns, reconstructed from census and survey data, sufficiently represent actual mixing behaviors and stable social relations in the real urban population.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Simulations on a geo-referenced synthetic urban network show age-structured contacts produce faster and more pervasive epidemics while distance decay has negligible effects, with preliminary evidence of hierarchical spatial diffusion.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"}],"snapshot_sha256":"2edf56761eee9e299ef24a75c43c7221a5c4f6c865d67a802aee53e486a428bd"},"source":{"id":"2605.18092","kind":"arxiv","version":1},"verdict":{"id":"7ff68b35-950e-44e5-8be3-67628da1c101","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-20T00:01:35.915021Z","strongest_claim":"Introducing age-structured contact patterns results in faster and more pervasive outbreaks, while assuming that the interaction frequency decays with distance has only negligible effects.","one_line_summary":"Simulations on a geo-referenced synthetic urban network show age-structured contacts produce faster and more pervasive epidemics while distance decay has negligible effects, with preliminary evidence of hierarchical spatial diffusion.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The synthetic population and its contact patterns, reconstructed from census and survey data, sufficiently represent actual mixing behaviors and stable social relations in the real urban population.","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.18092/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T23:41:59.205128Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.437949Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"809707b8e632a3c3b8bb39c4528b58d7b0b2c57b4689caf6d7d4bd8cd4b57e9c"},"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":"2605.18092","created_at":"2026-05-20T00:05:15.561579+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.18092v1","created_at":"2026-05-20T00:05:15.561579+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18092","created_at":"2026-05-20T00:05:15.561579+00:00"},{"alias_kind":"pith_short_12","alias_value":"AI6EEZOIH2KF","created_at":"2026-05-20T00:05:15.561579+00:00"},{"alias_kind":"pith_short_16","alias_value":"AI6EEZOIH2KFQFES","created_at":"2026-05-20T00:05:15.561579+00:00"},{"alias_kind":"pith_short_8","alias_value":"AI6EEZOI","created_at":"2026-05-20T00:05:15.561579+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/AI6EEZOIH2KFQFES7XJDNUGC4D","json":"https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D.json","graph_json":"https://pith.science/api/pith-number/AI6EEZOIH2KFQFES7XJDNUGC4D/graph.json","events_json":"https://pith.science/api/pith-number/AI6EEZOIH2KFQFES7XJDNUGC4D/events.json","paper":"https://pith.science/paper/AI6EEZOI"},"agent_actions":{"view_html":"https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D","download_json":"https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D.json","view_paper":"https://pith.science/paper/AI6EEZOI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.18092&json=true","fetch_graph":"https://pith.science/api/pith-number/AI6EEZOIH2KFQFES7XJDNUGC4D/graph.json","fetch_events":"https://pith.science/api/pith-number/AI6EEZOIH2KFQFES7XJDNUGC4D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D/action/storage_attestation","attest_author":"https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D/action/author_attestation","sign_citation":"https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D/action/citation_signature","submit_replication":"https://pith.science/pith/AI6EEZOIH2KFQFES7XJDNUGC4D/action/replication_record"}},"created_at":"2026-05-20T00:05:15.561579+00:00","updated_at":"2026-05-20T00:05:15.561579+00:00"}