{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:BXGDIID353ZGCJL7HJG6T7VQPU","short_pith_number":"pith:BXGDIID3","schema_version":"1.0","canonical_sha256":"0dcc34207beef261257f3a4de9feb07d14df071940d8c3a930f4dc6b23cdd022","source":{"kind":"arxiv","id":"1611.04704","version":1},"attestation_state":"computed","paper":{"title":"SIR Asymptotics in General Network Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","math.IT","stat.AP"],"primary_cat":"cs.IT","authors_text":"Anjin Guo, Martin Haenggi, Radha Krishna Ganti","submitted_at":"2016-11-15T04:45:12Z","abstract_excerpt":"In the performance analyses of wireless networks, asymptotic quantities and properties often pro- vide useful results and insights. The asymptotic analyses become especially important when complete analytical expressions of the performance metrics of interest are not available, which is often the case if one departs from very specific modeling assumptions. In this paper, we consider the asymptotics of the SIR distribution in general wireless network models, including ad hoc and cellular networks, simple and non-simple point processes, and singular and bounded path loss models, for which, in mo"},"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":"1611.04704","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-11-15T04:45:12Z","cross_cats_sorted":["cs.NI","math.IT","stat.AP"],"title_canon_sha256":"d6320623d541132f7aa5903bb268e218b49899550a8327817421a6433d3d71bc","abstract_canon_sha256":"01cb2672f6acf2e62f3b83c7da585d146bb6c7fac6afc1d7482e762870a474fc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:50.126795Z","signature_b64":"UMHMHtu26EJID96B4gURxYQD3No0HDOSORLeIhmMgtck/FTE3Jt8+WSxPVZlL1E2V/jun4JMNRjvI15QNL5BAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0dcc34207beef261257f3a4de9feb07d14df071940d8c3a930f4dc6b23cdd022","last_reissued_at":"2026-05-18T00:58:50.126277Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:50.126277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SIR Asymptotics in General Network Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NI","math.IT","stat.AP"],"primary_cat":"cs.IT","authors_text":"Anjin Guo, Martin Haenggi, Radha Krishna Ganti","submitted_at":"2016-11-15T04:45:12Z","abstract_excerpt":"In the performance analyses of wireless networks, asymptotic quantities and properties often pro- vide useful results and insights. The asymptotic analyses become especially important when complete analytical expressions of the performance metrics of interest are not available, which is often the case if one departs from very specific modeling assumptions. In this paper, we consider the asymptotics of the SIR distribution in general wireless network models, including ad hoc and cellular networks, simple and non-simple point processes, and singular and bounded path loss models, for which, in mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.04704","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":"1611.04704","created_at":"2026-05-18T00:58:50.126375+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.04704v1","created_at":"2026-05-18T00:58:50.126375+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.04704","created_at":"2026-05-18T00:58:50.126375+00:00"},{"alias_kind":"pith_short_12","alias_value":"BXGDIID353ZG","created_at":"2026-05-18T12:30:09.641336+00:00"},{"alias_kind":"pith_short_16","alias_value":"BXGDIID353ZGCJL7","created_at":"2026-05-18T12:30:09.641336+00:00"},{"alias_kind":"pith_short_8","alias_value":"BXGDIID3","created_at":"2026-05-18T12:30:09.641336+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/BXGDIID353ZGCJL7HJG6T7VQPU","json":"https://pith.science/pith/BXGDIID353ZGCJL7HJG6T7VQPU.json","graph_json":"https://pith.science/api/pith-number/BXGDIID353ZGCJL7HJG6T7VQPU/graph.json","events_json":"https://pith.science/api/pith-number/BXGDIID353ZGCJL7HJG6T7VQPU/events.json","paper":"https://pith.science/paper/BXGDIID3"},"agent_actions":{"view_html":"https://pith.science/pith/BXGDIID353ZGCJL7HJG6T7VQPU","download_json":"https://pith.science/pith/BXGDIID353ZGCJL7HJG6T7VQPU.json","view_paper":"https://pith.science/paper/BXGDIID3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.04704&json=true","fetch_graph":"https://pith.science/api/pith-number/BXGDIID353ZGCJL7HJG6T7VQPU/graph.json","fetch_events":"https://pith.science/api/pith-number/BXGDIID353ZGCJL7HJG6T7VQPU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BXGDIID353ZGCJL7HJG6T7VQPU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BXGDIID353ZGCJL7HJG6T7VQPU/action/storage_attestation","attest_author":"https://pith.science/pith/BXGDIID353ZGCJL7HJG6T7VQPU/action/author_attestation","sign_citation":"https://pith.science/pith/BXGDIID353ZGCJL7HJG6T7VQPU/action/citation_signature","submit_replication":"https://pith.science/pith/BXGDIID353ZGCJL7HJG6T7VQPU/action/replication_record"}},"created_at":"2026-05-18T00:58:50.126375+00:00","updated_at":"2026-05-18T00:58:50.126375+00:00"}