{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:HGHIPG2E3X4N4SNSK36VCG3AXK","short_pith_number":"pith:HGHIPG2E","schema_version":"1.0","canonical_sha256":"398e879b44ddf8de49b256fd511b60ba8230710ad735e2e4d9c14ec7a3307b80","source":{"kind":"arxiv","id":"1306.4534","version":1},"attestation_state":"computed","paper":{"title":"Exploiting Cellular Data for Disease Containment and Information Campaigns Strategies in Country-Wide Epidemics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Antonio Lima, Manlio De Domenico, Mirco Musolesi, Veljko Pejovic","submitted_at":"2013-06-19T13:22:11Z","abstract_excerpt":"Human mobility is one of the key factors at the basis of the spreading of diseases in a population. Containment strategies are usually devised on movement scenarios based on coarse-grained assumptions. Mobility phone data provide a unique opportunity for building models and defining strategies based on very precise information about the movement of people in a region or in a country. Another very important aspect is the underlying social structure of a population, which might play a fundamental role in devising information campaigns to promote vaccination and preventive measures, especially in"},"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":"1306.4534","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2013-06-19T13:22:11Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"f5a68e6b078f68a8ca97590b544acfffab91c6d6df51c24f4e331ad2e77c9598","abstract_canon_sha256":"676157d60f14a252b5a01d3de5540aa9070a0671d566f11c2ceacf4ebf27e74c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:20:34.128189Z","signature_b64":"ZHwj4c/FqWy/VPVYs9lqy4vuwiaN+50SksgzrIYkbHOWtvOIZYWKYiPTgmqGyuWn9FaLAMlKsQ0a7TenMRzyBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"398e879b44ddf8de49b256fd511b60ba8230710ad735e2e4d9c14ec7a3307b80","last_reissued_at":"2026-05-18T03:20:34.127576Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:20:34.127576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exploiting Cellular Data for Disease Containment and Information Campaigns Strategies in Country-Wide Epidemics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Antonio Lima, Manlio De Domenico, Mirco Musolesi, Veljko Pejovic","submitted_at":"2013-06-19T13:22:11Z","abstract_excerpt":"Human mobility is one of the key factors at the basis of the spreading of diseases in a population. Containment strategies are usually devised on movement scenarios based on coarse-grained assumptions. Mobility phone data provide a unique opportunity for building models and defining strategies based on very precise information about the movement of people in a region or in a country. Another very important aspect is the underlying social structure of a population, which might play a fundamental role in devising information campaigns to promote vaccination and preventive measures, especially in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1306.4534","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":"1306.4534","created_at":"2026-05-18T03:20:34.127643+00:00"},{"alias_kind":"arxiv_version","alias_value":"1306.4534v1","created_at":"2026-05-18T03:20:34.127643+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1306.4534","created_at":"2026-05-18T03:20:34.127643+00:00"},{"alias_kind":"pith_short_12","alias_value":"HGHIPG2E3X4N","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_16","alias_value":"HGHIPG2E3X4N4SNS","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_8","alias_value":"HGHIPG2E","created_at":"2026-05-18T12:27:46.883200+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/HGHIPG2E3X4N4SNSK36VCG3AXK","json":"https://pith.science/pith/HGHIPG2E3X4N4SNSK36VCG3AXK.json","graph_json":"https://pith.science/api/pith-number/HGHIPG2E3X4N4SNSK36VCG3AXK/graph.json","events_json":"https://pith.science/api/pith-number/HGHIPG2E3X4N4SNSK36VCG3AXK/events.json","paper":"https://pith.science/paper/HGHIPG2E"},"agent_actions":{"view_html":"https://pith.science/pith/HGHIPG2E3X4N4SNSK36VCG3AXK","download_json":"https://pith.science/pith/HGHIPG2E3X4N4SNSK36VCG3AXK.json","view_paper":"https://pith.science/paper/HGHIPG2E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1306.4534&json=true","fetch_graph":"https://pith.science/api/pith-number/HGHIPG2E3X4N4SNSK36VCG3AXK/graph.json","fetch_events":"https://pith.science/api/pith-number/HGHIPG2E3X4N4SNSK36VCG3AXK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HGHIPG2E3X4N4SNSK36VCG3AXK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HGHIPG2E3X4N4SNSK36VCG3AXK/action/storage_attestation","attest_author":"https://pith.science/pith/HGHIPG2E3X4N4SNSK36VCG3AXK/action/author_attestation","sign_citation":"https://pith.science/pith/HGHIPG2E3X4N4SNSK36VCG3AXK/action/citation_signature","submit_replication":"https://pith.science/pith/HGHIPG2E3X4N4SNSK36VCG3AXK/action/replication_record"}},"created_at":"2026-05-18T03:20:34.127643+00:00","updated_at":"2026-05-18T03:20:34.127643+00:00"}