{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:GK3CVIOMOTH6HE4K665SNPEFON","short_pith_number":"pith:GK3CVIOM","schema_version":"1.0","canonical_sha256":"32b62aa1cc74cfe3938af7bb26bc857343dd6c7cc931a6112a392032373cf2c4","source":{"kind":"arxiv","id":"1511.06869","version":1},"attestation_state":"computed","paper":{"title":"Dynamical Networks for Smog Pattern Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.soc-ph","authors_text":"Jia Zhu, Linqi Zong, Xinyi Gong","submitted_at":"2015-11-21T11:56:18Z","abstract_excerpt":"Smog, as a form of air pollution, poses as a serious problem to the environment, health, and economy of the world[1-4] . Previous studies on smog mostly focused on the components and the effects of smog [5-10]. However, as the smog happens with increased frequency and duration, the smog pattern which is critical for smog forecast and control, is rarely investigated, mainly due to the complexity of the components, the causes, and the spreading processes of smog. Here we report the first analysis on smog pattern applying the model of dynamical networks with spontaneous recovery. We show that man"},"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":"1511.06869","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.soc-ph","submitted_at":"2015-11-21T11:56:18Z","cross_cats_sorted":[],"title_canon_sha256":"46b0efc8c421fa6ccded2fcf70dd88ca3e78683965d24bcfe50923e0a4536471","abstract_canon_sha256":"e0c5971966d9409cf945d8ba6c49aac81fcf4114f3c0b05fc38daf7882a51a33"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:26:17.295971Z","signature_b64":"0bBT5WoJTD0MWdvTGA3u+9zrIu6YpXB9AOZpSgNz+lHA/5iQHM3fXnpvyW8Zb6XTvM7NJ/TMHNFfwg1o38uUBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32b62aa1cc74cfe3938af7bb26bc857343dd6c7cc931a6112a392032373cf2c4","last_reissued_at":"2026-05-18T01:26:17.295385Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:26:17.295385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dynamical Networks for Smog Pattern Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"physics.soc-ph","authors_text":"Jia Zhu, Linqi Zong, Xinyi Gong","submitted_at":"2015-11-21T11:56:18Z","abstract_excerpt":"Smog, as a form of air pollution, poses as a serious problem to the environment, health, and economy of the world[1-4] . Previous studies on smog mostly focused on the components and the effects of smog [5-10]. However, as the smog happens with increased frequency and duration, the smog pattern which is critical for smog forecast and control, is rarely investigated, mainly due to the complexity of the components, the causes, and the spreading processes of smog. Here we report the first analysis on smog pattern applying the model of dynamical networks with spontaneous recovery. We show that man"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.06869","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":"1511.06869","created_at":"2026-05-18T01:26:17.295487+00:00"},{"alias_kind":"arxiv_version","alias_value":"1511.06869v1","created_at":"2026-05-18T01:26:17.295487+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.06869","created_at":"2026-05-18T01:26:17.295487+00:00"},{"alias_kind":"pith_short_12","alias_value":"GK3CVIOMOTH6","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_16","alias_value":"GK3CVIOMOTH6HE4K","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_8","alias_value":"GK3CVIOM","created_at":"2026-05-18T12:29:22.688609+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/GK3CVIOMOTH6HE4K665SNPEFON","json":"https://pith.science/pith/GK3CVIOMOTH6HE4K665SNPEFON.json","graph_json":"https://pith.science/api/pith-number/GK3CVIOMOTH6HE4K665SNPEFON/graph.json","events_json":"https://pith.science/api/pith-number/GK3CVIOMOTH6HE4K665SNPEFON/events.json","paper":"https://pith.science/paper/GK3CVIOM"},"agent_actions":{"view_html":"https://pith.science/pith/GK3CVIOMOTH6HE4K665SNPEFON","download_json":"https://pith.science/pith/GK3CVIOMOTH6HE4K665SNPEFON.json","view_paper":"https://pith.science/paper/GK3CVIOM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1511.06869&json=true","fetch_graph":"https://pith.science/api/pith-number/GK3CVIOMOTH6HE4K665SNPEFON/graph.json","fetch_events":"https://pith.science/api/pith-number/GK3CVIOMOTH6HE4K665SNPEFON/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GK3CVIOMOTH6HE4K665SNPEFON/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GK3CVIOMOTH6HE4K665SNPEFON/action/storage_attestation","attest_author":"https://pith.science/pith/GK3CVIOMOTH6HE4K665SNPEFON/action/author_attestation","sign_citation":"https://pith.science/pith/GK3CVIOMOTH6HE4K665SNPEFON/action/citation_signature","submit_replication":"https://pith.science/pith/GK3CVIOMOTH6HE4K665SNPEFON/action/replication_record"}},"created_at":"2026-05-18T01:26:17.295487+00:00","updated_at":"2026-05-18T01:26:17.295487+00:00"}