{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:LVZEIVU24X3ICSUBGFWHJMHCJ7","short_pith_number":"pith:LVZEIVU2","schema_version":"1.0","canonical_sha256":"5d7244569ae5f6814a81316c74b0e24fc104b40017cff1a15d257ccfeb886253","source":{"kind":"arxiv","id":"2509.14162","version":3},"attestation_state":"computed","paper":{"title":"An Attention-Based Stochastic Simulator for Multisite Extremes to Evaluate Nonstationary, Cascading Flood Risk","license":"http://creativecommons.org/licenses/by/4.0/","headline":"An attention-based framework simulates multisite flood events that are coherent in space and time and linked to climate variability.","cross_cats":["physics.ao-ph","physics.data-an"],"primary_cat":"physics.geo-ph","authors_text":"Adam Nayak, Pierre Gentine, Upmanu Lall","submitted_at":"2025-09-17T16:46:56Z","abstract_excerpt":"Flood risk is correlated in space and time, challenging insurance systems that rely on diversification across assets. Financial instruments governing flood coverage are typically structured as 1 to 5-year contracts, exposing portfolios to climate-driven risk at interannual-to-decadal scales. Yet existing tools address climate risk either through seasonal forecasts extending only months or multidecadal projections misaligned with fiscal horizons, leaving a critical gap in actionable flood risk simulation. We introduce a multisite flood simulation framework combining attention-based analog retri"},"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":true},"canonical_record":{"source":{"id":"2509.14162","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.geo-ph","submitted_at":"2025-09-17T16:46:56Z","cross_cats_sorted":["physics.ao-ph","physics.data-an"],"title_canon_sha256":"232910d5b83410cf1490e4cc4362e09a93870a48c81e96a85ce6d2147c204ace","abstract_canon_sha256":"3d32c98b75d1bac4e34784468c7c17029c8352152b011095cc08bceb6c1082a0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T00:13:59.999457Z","signature_b64":"lv9ieNiX+PCtOBwWVQRI3J/DaUuW7fpvGOKXLpJsyI6Z/+QEdxXuLUq7hA12sA/NsYKCSOlcunb05qtTmsbfBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d7244569ae5f6814a81316c74b0e24fc104b40017cff1a15d257ccfeb886253","last_reissued_at":"2026-08-11T00:13:59.997131Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T00:13:59.997131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Attention-Based Stochastic Simulator for Multisite Extremes to Evaluate Nonstationary, Cascading Flood Risk","license":"http://creativecommons.org/licenses/by/4.0/","headline":"An attention-based framework simulates multisite flood events that are coherent in space and time and linked to climate variability.","cross_cats":["physics.ao-ph","physics.data-an"],"primary_cat":"physics.geo-ph","authors_text":"Adam Nayak, Pierre Gentine, Upmanu Lall","submitted_at":"2025-09-17T16:46:56Z","abstract_excerpt":"Flood risk is correlated in space and time, challenging insurance systems that rely on diversification across assets. Financial instruments governing flood coverage are typically structured as 1 to 5-year contracts, exposing portfolios to climate-driven risk at interannual-to-decadal scales. Yet existing tools address climate risk either through seasonal forecasts extending only months or multidecadal projections misaligned with fiscal horizons, leaving a critical gap in actionable flood risk simulation. We introduce a multisite flood simulation framework combining attention-based analog retri"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"The multisite flood simulation framework produces spatiotemporally coherent flood portfolios conditioned on interannual climate variability, yielding physically interpretable flood clusters for portfolio-scale loss simulation and plausible out-of-sample flood risk catalogs.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That attention-based analog retrieval combined with stochastic multivariate sequence generation can accurately reproduce nonstationary spatial-temporal flood dependencies across sites without post-hoc tuning or missing key drivers, as implied by the framework's ability to link clusters to large-scale climate drivers via wavelet analysis.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Presents an attention-based stochastic simulator for generating spatiotemporally coherent multisite flood sequences conditioned on interannual climate variability to support portfolio-scale flood risk assessment.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"An attention-based framework simulates multisite flood events that are coherent in space and time and linked to climate variability.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"3f669b9199ed13686858d8251988262c6bc47cf72e2b351e3c3b589802154985"},"source":{"id":"2509.14162","kind":"arxiv","version":3},"verdict":{"id":"7a61d3cd-1436-4636-bdf1-aece786d5f38","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-18T16:06:07.556023Z","strongest_claim":"The multisite flood simulation framework produces spatiotemporally coherent flood portfolios conditioned on interannual climate variability, yielding physically interpretable flood clusters for portfolio-scale loss simulation and plausible out-of-sample flood risk catalogs.","one_line_summary":"Presents an attention-based stochastic simulator for generating spatiotemporally coherent multisite flood sequences conditioned on interannual climate variability to support portfolio-scale flood risk assessment.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That attention-based analog retrieval combined with stochastic multivariate sequence generation can accurately reproduce nonstationary spatial-temporal flood dependencies across sites without post-hoc tuning or missing key drivers, as implied by the framework's ability to link clusters to large-scale climate drivers via wavelet analysis.","pith_extraction_headline":"An attention-based framework simulates multisite flood events that are coherent in space and time and linked to climate variability."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2509.14162/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":1,"snapshot_sha256":"dd5edce12e6fcf10ee30129f735d2d966f7a17390504371a74683007f0062896"},"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":"2509.14162","created_at":"2026-08-11T00:13:59.997556+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.14162v3","created_at":"2026-08-11T00:13:59.997556+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.14162","created_at":"2026-08-11T00:13:59.997556+00:00"},{"alias_kind":"pith_short_12","alias_value":"LVZEIVU24X3I","created_at":"2026-08-11T00:13:59.997556+00:00"},{"alias_kind":"pith_short_16","alias_value":"LVZEIVU24X3ICSUB","created_at":"2026-08-11T00:13:59.997556+00:00"},{"alias_kind":"pith_short_8","alias_value":"LVZEIVU2","created_at":"2026-08-11T00:13:59.997556+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":1,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7","json":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7.json","graph_json":"https://pith.science/api/pith-number/LVZEIVU24X3ICSUBGFWHJMHCJ7/graph.json","events_json":"https://pith.science/api/pith-number/LVZEIVU24X3ICSUBGFWHJMHCJ7/events.json","paper":"https://pith.science/paper/LVZEIVU2"},"agent_actions":{"view_html":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7","download_json":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7.json","view_paper":"https://pith.science/paper/LVZEIVU2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.14162&json=true","fetch_graph":"https://pith.science/api/pith-number/LVZEIVU24X3ICSUBGFWHJMHCJ7/graph.json","fetch_events":"https://pith.science/api/pith-number/LVZEIVU24X3ICSUBGFWHJMHCJ7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7/action/storage_attestation","attest_author":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7/action/author_attestation","sign_citation":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7/action/citation_signature","submit_replication":"https://pith.science/pith/LVZEIVU24X3ICSUBGFWHJMHCJ7/action/replication_record"}},"created_at":"2026-08-11T00:13:59.997556+00:00","updated_at":"2026-08-11T00:13:59.997556+00:00"}