{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:TYNFHPZEEPUMETNZEVD7KU76TL","short_pith_number":"pith:TYNFHPZE","schema_version":"1.0","canonical_sha256":"9e1a53bf2423e8c24db92547f553fe9ac360cbfd6f64466e9dad2b898e9afbf9","source":{"kind":"arxiv","id":"2203.04296","version":1},"attestation_state":"computed","paper":{"title":"Spatial heterogeneity of air pollution statistics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.ao-ph","authors_text":"Benjamin Sch\\\"afer, Christian Beck, Hankun He","submitted_at":"2022-03-08T05:15:16Z","abstract_excerpt":"Air pollution is one of the leading causes of death globally, and continues to have a detrimental effect on our health. In light of these impacts, an extensive range of statistical modelling approaches has been devised in order to better understand air pollution statistics. However, the time-varying statistics of different types of air pollutants are far from being fully understood. The observed probability density functions (PDFs) of concentrations depend very much on the spatial location and on the pollutant substance. In this paper, we analyse a large variety of data from 3544 different Eur"},"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":"2203.04296","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2022-03-08T05:15:16Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"77700594002ede8c0c9e32c0f5276513c7d62473930d597a96db8ff491e94fbb","abstract_canon_sha256":"a5ce02b54c79abcea557b31763d3850d707d2083bef07eb96182dc0f3e2de627"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:03:16.608686Z","signature_b64":"kiSkFv6udH/KdwIxMIj9q/nsdm+iNpOvyinJwOFI/nqwAkHCh6uu2zUD/AGVczJ4IimIK7iWWoq0or0xjeDdBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e1a53bf2423e8c24db92547f553fe9ac360cbfd6f64466e9dad2b898e9afbf9","last_reissued_at":"2026-07-05T04:03:16.608228Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:03:16.608228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spatial heterogeneity of air pollution statistics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.ao-ph","authors_text":"Benjamin Sch\\\"afer, Christian Beck, Hankun He","submitted_at":"2022-03-08T05:15:16Z","abstract_excerpt":"Air pollution is one of the leading causes of death globally, and continues to have a detrimental effect on our health. In light of these impacts, an extensive range of statistical modelling approaches has been devised in order to better understand air pollution statistics. However, the time-varying statistics of different types of air pollutants are far from being fully understood. The observed probability density functions (PDFs) of concentrations depend very much on the spatial location and on the pollutant substance. In this paper, we analyse a large variety of data from 3544 different Eur"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.04296","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/2203.04296/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":"2203.04296","created_at":"2026-07-05T04:03:16.608288+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.04296v1","created_at":"2026-07-05T04:03:16.608288+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.04296","created_at":"2026-07-05T04:03:16.608288+00:00"},{"alias_kind":"pith_short_12","alias_value":"TYNFHPZEEPUM","created_at":"2026-07-05T04:03:16.608288+00:00"},{"alias_kind":"pith_short_16","alias_value":"TYNFHPZEEPUMETNZ","created_at":"2026-07-05T04:03:16.608288+00:00"},{"alias_kind":"pith_short_8","alias_value":"TYNFHPZE","created_at":"2026-07-05T04:03:16.608288+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/TYNFHPZEEPUMETNZEVD7KU76TL","json":"https://pith.science/pith/TYNFHPZEEPUMETNZEVD7KU76TL.json","graph_json":"https://pith.science/api/pith-number/TYNFHPZEEPUMETNZEVD7KU76TL/graph.json","events_json":"https://pith.science/api/pith-number/TYNFHPZEEPUMETNZEVD7KU76TL/events.json","paper":"https://pith.science/paper/TYNFHPZE"},"agent_actions":{"view_html":"https://pith.science/pith/TYNFHPZEEPUMETNZEVD7KU76TL","download_json":"https://pith.science/pith/TYNFHPZEEPUMETNZEVD7KU76TL.json","view_paper":"https://pith.science/paper/TYNFHPZE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.04296&json=true","fetch_graph":"https://pith.science/api/pith-number/TYNFHPZEEPUMETNZEVD7KU76TL/graph.json","fetch_events":"https://pith.science/api/pith-number/TYNFHPZEEPUMETNZEVD7KU76TL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TYNFHPZEEPUMETNZEVD7KU76TL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TYNFHPZEEPUMETNZEVD7KU76TL/action/storage_attestation","attest_author":"https://pith.science/pith/TYNFHPZEEPUMETNZEVD7KU76TL/action/author_attestation","sign_citation":"https://pith.science/pith/TYNFHPZEEPUMETNZEVD7KU76TL/action/citation_signature","submit_replication":"https://pith.science/pith/TYNFHPZEEPUMETNZEVD7KU76TL/action/replication_record"}},"created_at":"2026-07-05T04:03:16.608288+00:00","updated_at":"2026-07-05T04:03:16.608288+00:00"}