{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:2NTKLW7H5PXR4PL4IHNP2U5CBQ","short_pith_number":"pith:2NTKLW7H","schema_version":"1.0","canonical_sha256":"d366a5dbe7ebef1e3d7c41dafd53a20c2ed25b395d81941fdb65571e0f472626","source":{"kind":"arxiv","id":"1802.02888","version":1},"attestation_state":"computed","paper":{"title":"Spatial mapping and analysis of aerosols during a forest fire using computational mobile microscopy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.app-ph"],"primary_cat":"physics.ins-det","authors_text":"Ashutosh Shiledar, Aydogan Ozcan, Bijie Bai, Cheng Chen, Jeffrey Wong, Miu Tamamitsu, Yibo Zhang, Yichen Wu, Yi Luo","submitted_at":"2018-02-05T05:41:11Z","abstract_excerpt":"Forest fires are a major source of particulate matter (PM) air pollution on a global scale. The composition and impact of PM are typically studied using only laboratory instruments and extrapolated to real fire events owing to a lack of analytical techniques suitable for field-settings. To address this and similar field test challenges, we developed a mobile-microscopy and machine-learning-based air quality monitoring platform called c-Air, which can perform air sampling and microscopic analysis of aerosols in an integrated portable device. We tested its performance for PM sizing and morpholog"},"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":"1802.02888","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ins-det","submitted_at":"2018-02-05T05:41:11Z","cross_cats_sorted":["physics.app-ph"],"title_canon_sha256":"d51cbdf0d8720232e49a72df8c21bc9fff17a3f8297fbd1c7852a589086f14e7","abstract_canon_sha256":"cc273f2328075ef5eba8bdbf9d472f9f45a116c4a53ea80fba3518eec70b9d10"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:02.872482Z","signature_b64":"MJvePL2IaYKuj5Oa7E9mpU069Ut604AOvhZLmmBbY6dCuqNn/JjByiaZNx/sfsaXPUPmPLQp3o4OT+AGG5RbAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d366a5dbe7ebef1e3d7c41dafd53a20c2ed25b395d81941fdb65571e0f472626","last_reissued_at":"2026-05-18T00:24:02.872036Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:02.872036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spatial mapping and analysis of aerosols during a forest fire using computational mobile microscopy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.app-ph"],"primary_cat":"physics.ins-det","authors_text":"Ashutosh Shiledar, Aydogan Ozcan, Bijie Bai, Cheng Chen, Jeffrey Wong, Miu Tamamitsu, Yibo Zhang, Yichen Wu, Yi Luo","submitted_at":"2018-02-05T05:41:11Z","abstract_excerpt":"Forest fires are a major source of particulate matter (PM) air pollution on a global scale. The composition and impact of PM are typically studied using only laboratory instruments and extrapolated to real fire events owing to a lack of analytical techniques suitable for field-settings. To address this and similar field test challenges, we developed a mobile-microscopy and machine-learning-based air quality monitoring platform called c-Air, which can perform air sampling and microscopic analysis of aerosols in an integrated portable device. We tested its performance for PM sizing and morpholog"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.02888","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":"1802.02888","created_at":"2026-05-18T00:24:02.872110+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.02888v1","created_at":"2026-05-18T00:24:02.872110+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.02888","created_at":"2026-05-18T00:24:02.872110+00:00"},{"alias_kind":"pith_short_12","alias_value":"2NTKLW7H5PXR","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_16","alias_value":"2NTKLW7H5PXR4PL4","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_8","alias_value":"2NTKLW7H","created_at":"2026-05-18T12:32:02.567920+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/2NTKLW7H5PXR4PL4IHNP2U5CBQ","json":"https://pith.science/pith/2NTKLW7H5PXR4PL4IHNP2U5CBQ.json","graph_json":"https://pith.science/api/pith-number/2NTKLW7H5PXR4PL4IHNP2U5CBQ/graph.json","events_json":"https://pith.science/api/pith-number/2NTKLW7H5PXR4PL4IHNP2U5CBQ/events.json","paper":"https://pith.science/paper/2NTKLW7H"},"agent_actions":{"view_html":"https://pith.science/pith/2NTKLW7H5PXR4PL4IHNP2U5CBQ","download_json":"https://pith.science/pith/2NTKLW7H5PXR4PL4IHNP2U5CBQ.json","view_paper":"https://pith.science/paper/2NTKLW7H","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.02888&json=true","fetch_graph":"https://pith.science/api/pith-number/2NTKLW7H5PXR4PL4IHNP2U5CBQ/graph.json","fetch_events":"https://pith.science/api/pith-number/2NTKLW7H5PXR4PL4IHNP2U5CBQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2NTKLW7H5PXR4PL4IHNP2U5CBQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2NTKLW7H5PXR4PL4IHNP2U5CBQ/action/storage_attestation","attest_author":"https://pith.science/pith/2NTKLW7H5PXR4PL4IHNP2U5CBQ/action/author_attestation","sign_citation":"https://pith.science/pith/2NTKLW7H5PXR4PL4IHNP2U5CBQ/action/citation_signature","submit_replication":"https://pith.science/pith/2NTKLW7H5PXR4PL4IHNP2U5CBQ/action/replication_record"}},"created_at":"2026-05-18T00:24:02.872110+00:00","updated_at":"2026-05-18T00:24:02.872110+00:00"}