{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4G3TDYB4KZGLUIHM2POI5FSQFZ","short_pith_number":"pith:4G3TDYB4","schema_version":"1.0","canonical_sha256":"e1b731e03c564cba20ecd3dc8e96502e4a6363b6df1566956f15435bc6d3bccd","source":{"kind":"arxiv","id":"2605.24067","version":1},"attestation_state":"computed","paper":{"title":"Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"physics.ao-ph","authors_text":"Jun Chen, Kaishun Wu, Lin Chen, Minghui Qiu, Shuxin Zhong, Weifeng Chen, Yu Zhang, Zhidan Liu","submitted_at":"2026-05-22T08:15:35Z","abstract_excerpt":"Most nowcasting systems, built on radar reflectivity, focus on current precipitation, ignoring the atmospheric precursors -- such as low-level convergence, turbulent eddies, and latent heating -- that offer a fleeting window to foresee storm birth. We introduce MeteoLogist, a physics-inspired radar intelligence framework that models the full life cycle of convection -- from its precursors to organized storm evolution. However, exploiting these precursors is non-trivial: they originate from multiple meteorological drivers -- thermodynamic, kinematic, and microphysical -- that evolve asynchronou"},"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":"2605.24067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2026-05-22T08:15:35Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0672694b5c0c264a2a7fdd3efcc4199a3b8d99490e3a1fd2cd67dd8114379786","abstract_canon_sha256":"8ba04353ab35fbae08b00d156e8a484aa4910fe79e9a3599f0d8f157baf8d720"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:02:43.710690Z","signature_b64":"Rj1GPU36mZhylVTodFzure+DtwSrigQe0OJLYBS0Ctffg55cdHlyOuzMc6uiMSwqkXRC3IoS4sBEs+yyyOF/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1b731e03c564cba20ecd3dc8e96502e4a6363b6df1566956f15435bc6d3bccd","last_reissued_at":"2026-05-26T01:02:43.709915Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:02:43.709915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"physics.ao-ph","authors_text":"Jun Chen, Kaishun Wu, Lin Chen, Minghui Qiu, Shuxin Zhong, Weifeng Chen, Yu Zhang, Zhidan Liu","submitted_at":"2026-05-22T08:15:35Z","abstract_excerpt":"Most nowcasting systems, built on radar reflectivity, focus on current precipitation, ignoring the atmospheric precursors -- such as low-level convergence, turbulent eddies, and latent heating -- that offer a fleeting window to foresee storm birth. We introduce MeteoLogist, a physics-inspired radar intelligence framework that models the full life cycle of convection -- from its precursors to organized storm evolution. However, exploiting these precursors is non-trivial: they originate from multiple meteorological drivers -- thermodynamic, kinematic, and microphysical -- that evolve asynchronou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24067","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/2605.24067/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":"2605.24067","created_at":"2026-05-26T01:02:43.710044+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.24067v1","created_at":"2026-05-26T01:02:43.710044+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24067","created_at":"2026-05-26T01:02:43.710044+00:00"},{"alias_kind":"pith_short_12","alias_value":"4G3TDYB4KZGL","created_at":"2026-05-26T01:02:43.710044+00:00"},{"alias_kind":"pith_short_16","alias_value":"4G3TDYB4KZGLUIHM","created_at":"2026-05-26T01:02:43.710044+00:00"},{"alias_kind":"pith_short_8","alias_value":"4G3TDYB4","created_at":"2026-05-26T01:02:43.710044+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/4G3TDYB4KZGLUIHM2POI5FSQFZ","json":"https://pith.science/pith/4G3TDYB4KZGLUIHM2POI5FSQFZ.json","graph_json":"https://pith.science/api/pith-number/4G3TDYB4KZGLUIHM2POI5FSQFZ/graph.json","events_json":"https://pith.science/api/pith-number/4G3TDYB4KZGLUIHM2POI5FSQFZ/events.json","paper":"https://pith.science/paper/4G3TDYB4"},"agent_actions":{"view_html":"https://pith.science/pith/4G3TDYB4KZGLUIHM2POI5FSQFZ","download_json":"https://pith.science/pith/4G3TDYB4KZGLUIHM2POI5FSQFZ.json","view_paper":"https://pith.science/paper/4G3TDYB4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.24067&json=true","fetch_graph":"https://pith.science/api/pith-number/4G3TDYB4KZGLUIHM2POI5FSQFZ/graph.json","fetch_events":"https://pith.science/api/pith-number/4G3TDYB4KZGLUIHM2POI5FSQFZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4G3TDYB4KZGLUIHM2POI5FSQFZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4G3TDYB4KZGLUIHM2POI5FSQFZ/action/storage_attestation","attest_author":"https://pith.science/pith/4G3TDYB4KZGLUIHM2POI5FSQFZ/action/author_attestation","sign_citation":"https://pith.science/pith/4G3TDYB4KZGLUIHM2POI5FSQFZ/action/citation_signature","submit_replication":"https://pith.science/pith/4G3TDYB4KZGLUIHM2POI5FSQFZ/action/replication_record"}},"created_at":"2026-05-26T01:02:43.710044+00:00","updated_at":"2026-05-26T01:02:43.710044+00:00"}