{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GHX7YF7YF5FPJIPNW4XSJT4I63","short_pith_number":"pith:GHX7YF7Y","schema_version":"1.0","canonical_sha256":"31effc17f82f4af4a1edb72f24cf88f6e7c448fbdf32cdffb919dc8f42c5109d","source":{"kind":"arxiv","id":"2601.00628","version":2},"attestation_state":"computed","paper":{"title":"Bayesian Optimization for reanalysis and calibration of highly energetic sea state events simulated with a spectral third-generation wave model","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["physics.comp-ph","physics.geo-ph","stat.AP"],"primary_cat":"physics.ao-ph","authors_text":"C\\'edric Goeury, Maria Teles, Michel Benoit, Thierry Fouquet","submitted_at":"2026-01-02T09:57:52Z","abstract_excerpt":"Accurate hindcasting of sea state events is a cornerstone of coastal engineering, risk assessment, and climate-related studies, yet it remains limited by uncertainties in physical parameterizations and model structure. This study introduces an automated calibration framework based on Bayesian Optimization (BO) using the Tree-structured Parzen Estimator (TPE) to constrain key dissipative processes in the ANEMOC-3 hindcast wave model, including bottom-friction losses, depth-induced wave breaking, and dissipation driven by wave strong opposing currents. The methodology enables the joint optimizat"},"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":"2601.00628","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2026-01-02T09:57:52Z","cross_cats_sorted":["physics.comp-ph","physics.geo-ph","stat.AP"],"title_canon_sha256":"d92f4a2aa8a97a8b907e25d6112cdd582536de00cbfc0b34a62c1926759107aa","abstract_canon_sha256":"5c00fa80dd8c26f9e02c2cf3931daf726dddeda214bf65ad7b1517abd8844a58"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T01:17:48.933943Z","signature_b64":"ZfABsGTZfT0cR4kvfOyK8t1Z2H2PSTVm0EyOg+rQTSGJspU+sOqFTt4wccRzHaQrSpuL9cNm8RfcLmgldJ7pBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31effc17f82f4af4a1edb72f24cf88f6e7c448fbdf32cdffb919dc8f42c5109d","last_reissued_at":"2026-06-25T01:17:48.933388Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T01:17:48.933388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian Optimization for reanalysis and calibration of highly energetic sea state events simulated with a spectral third-generation wave model","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["physics.comp-ph","physics.geo-ph","stat.AP"],"primary_cat":"physics.ao-ph","authors_text":"C\\'edric Goeury, Maria Teles, Michel Benoit, Thierry Fouquet","submitted_at":"2026-01-02T09:57:52Z","abstract_excerpt":"Accurate hindcasting of sea state events is a cornerstone of coastal engineering, risk assessment, and climate-related studies, yet it remains limited by uncertainties in physical parameterizations and model structure. This study introduces an automated calibration framework based on Bayesian Optimization (BO) using the Tree-structured Parzen Estimator (TPE) to constrain key dissipative processes in the ANEMOC-3 hindcast wave model, including bottom-friction losses, depth-induced wave breaking, and dissipation driven by wave strong opposing currents. The methodology enables the joint optimizat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.00628","kind":"arxiv","version":2},"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/2601.00628/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":"2601.00628","created_at":"2026-06-25T01:17:48.933448+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.00628v2","created_at":"2026-06-25T01:17:48.933448+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.00628","created_at":"2026-06-25T01:17:48.933448+00:00"},{"alias_kind":"pith_short_12","alias_value":"GHX7YF7YF5FP","created_at":"2026-06-25T01:17:48.933448+00:00"},{"alias_kind":"pith_short_16","alias_value":"GHX7YF7YF5FPJIPN","created_at":"2026-06-25T01:17:48.933448+00:00"},{"alias_kind":"pith_short_8","alias_value":"GHX7YF7Y","created_at":"2026-06-25T01:17:48.933448+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/GHX7YF7YF5FPJIPNW4XSJT4I63","json":"https://pith.science/pith/GHX7YF7YF5FPJIPNW4XSJT4I63.json","graph_json":"https://pith.science/api/pith-number/GHX7YF7YF5FPJIPNW4XSJT4I63/graph.json","events_json":"https://pith.science/api/pith-number/GHX7YF7YF5FPJIPNW4XSJT4I63/events.json","paper":"https://pith.science/paper/GHX7YF7Y"},"agent_actions":{"view_html":"https://pith.science/pith/GHX7YF7YF5FPJIPNW4XSJT4I63","download_json":"https://pith.science/pith/GHX7YF7YF5FPJIPNW4XSJT4I63.json","view_paper":"https://pith.science/paper/GHX7YF7Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.00628&json=true","fetch_graph":"https://pith.science/api/pith-number/GHX7YF7YF5FPJIPNW4XSJT4I63/graph.json","fetch_events":"https://pith.science/api/pith-number/GHX7YF7YF5FPJIPNW4XSJT4I63/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GHX7YF7YF5FPJIPNW4XSJT4I63/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GHX7YF7YF5FPJIPNW4XSJT4I63/action/storage_attestation","attest_author":"https://pith.science/pith/GHX7YF7YF5FPJIPNW4XSJT4I63/action/author_attestation","sign_citation":"https://pith.science/pith/GHX7YF7YF5FPJIPNW4XSJT4I63/action/citation_signature","submit_replication":"https://pith.science/pith/GHX7YF7YF5FPJIPNW4XSJT4I63/action/replication_record"}},"created_at":"2026-06-25T01:17:48.933448+00:00","updated_at":"2026-06-25T01:17:48.933448+00:00"}