{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:73H4HR7ZA6ANNZ3YY3OBJLP6RF","short_pith_number":"pith:73H4HR7Z","schema_version":"1.0","canonical_sha256":"fecfc3c7f90780d6e778c6dc14adfe897d1591fc3273fe55abb38cc1f0999867","source":{"kind":"arxiv","id":"1709.03757","version":3},"attestation_state":"computed","paper":{"title":"Computation of extreme heat waves in climate models using a large deviation algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.CD","physics.comp-ph"],"primary_cat":"physics.ao-ph","authors_text":"Francesco Ragone, Freddy Bouchet, Jeroen Wouters","submitted_at":"2017-09-12T09:25:06Z","abstract_excerpt":"Studying extreme events and how they evolve in a changing climate is one of the most important current scientific challenges. Starting from complex climate models, a key difficulty is to be able to run long enough simulations in order to observe those extremely rare events. In physics, chemistry, and biology, rare event algorithms have recently been developed to compute probabilities of events that cannot be observed in direct numerical simulations. Here we propose such an algorithm, specifically designed for extreme heat or cold waves, based on statistical physics approaches. This gives an im"},"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":"1709.03757","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2017-09-12T09:25:06Z","cross_cats_sorted":["nlin.CD","physics.comp-ph"],"title_canon_sha256":"95a830cf6ab6071d5dcda74440b3e550809dbfa6a1b9738a269ae68d3c8bde69","abstract_canon_sha256":"1cc1fbe5740770bb6a6f0cf18d971a9f813c0116cb60958798d2802cc2dc37e1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:19.027302Z","signature_b64":"HvuQDjVHFyJavQAKy8mJZ0q2pVT+Pi4iGOucPApa8gQHx5/dzwW9nQ1sp9Iwx1jZLNk7Ww+Favv33Y6IpnB6DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fecfc3c7f90780d6e778c6dc14adfe897d1591fc3273fe55abb38cc1f0999867","last_reissued_at":"2026-05-18T00:27:19.026759Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:19.026759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Computation of extreme heat waves in climate models using a large deviation algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.CD","physics.comp-ph"],"primary_cat":"physics.ao-ph","authors_text":"Francesco Ragone, Freddy Bouchet, Jeroen Wouters","submitted_at":"2017-09-12T09:25:06Z","abstract_excerpt":"Studying extreme events and how they evolve in a changing climate is one of the most important current scientific challenges. Starting from complex climate models, a key difficulty is to be able to run long enough simulations in order to observe those extremely rare events. In physics, chemistry, and biology, rare event algorithms have recently been developed to compute probabilities of events that cannot be observed in direct numerical simulations. Here we propose such an algorithm, specifically designed for extreme heat or cold waves, based on statistical physics approaches. This gives an im"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03757","kind":"arxiv","version":3},"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":"1709.03757","created_at":"2026-05-18T00:27:19.026843+00:00"},{"alias_kind":"arxiv_version","alias_value":"1709.03757v3","created_at":"2026-05-18T00:27:19.026843+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03757","created_at":"2026-05-18T00:27:19.026843+00:00"},{"alias_kind":"pith_short_12","alias_value":"73H4HR7ZA6AN","created_at":"2026-05-18T12:31:03.183658+00:00"},{"alias_kind":"pith_short_16","alias_value":"73H4HR7ZA6ANNZ3Y","created_at":"2026-05-18T12:31:03.183658+00:00"},{"alias_kind":"pith_short_8","alias_value":"73H4HR7Z","created_at":"2026-05-18T12:31:03.183658+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/73H4HR7ZA6ANNZ3YY3OBJLP6RF","json":"https://pith.science/pith/73H4HR7ZA6ANNZ3YY3OBJLP6RF.json","graph_json":"https://pith.science/api/pith-number/73H4HR7ZA6ANNZ3YY3OBJLP6RF/graph.json","events_json":"https://pith.science/api/pith-number/73H4HR7ZA6ANNZ3YY3OBJLP6RF/events.json","paper":"https://pith.science/paper/73H4HR7Z"},"agent_actions":{"view_html":"https://pith.science/pith/73H4HR7ZA6ANNZ3YY3OBJLP6RF","download_json":"https://pith.science/pith/73H4HR7ZA6ANNZ3YY3OBJLP6RF.json","view_paper":"https://pith.science/paper/73H4HR7Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1709.03757&json=true","fetch_graph":"https://pith.science/api/pith-number/73H4HR7ZA6ANNZ3YY3OBJLP6RF/graph.json","fetch_events":"https://pith.science/api/pith-number/73H4HR7ZA6ANNZ3YY3OBJLP6RF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/73H4HR7ZA6ANNZ3YY3OBJLP6RF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/73H4HR7ZA6ANNZ3YY3OBJLP6RF/action/storage_attestation","attest_author":"https://pith.science/pith/73H4HR7ZA6ANNZ3YY3OBJLP6RF/action/author_attestation","sign_citation":"https://pith.science/pith/73H4HR7ZA6ANNZ3YY3OBJLP6RF/action/citation_signature","submit_replication":"https://pith.science/pith/73H4HR7ZA6ANNZ3YY3OBJLP6RF/action/replication_record"}},"created_at":"2026-05-18T00:27:19.026843+00:00","updated_at":"2026-05-18T00:27:19.026843+00:00"}