{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:26OB5TW2QA7W5UXTPXHWRHBEMS","short_pith_number":"pith:26OB5TW2","schema_version":"1.0","canonical_sha256":"d79c1eceda803f6ed2f37dcf689c246480220f3a4ca2dbbd6ec350770c47f5b8","source":{"kind":"arxiv","id":"2506.10475","version":1},"attestation_state":"computed","paper":{"title":"Prediction of steady states in a marine ecosystem model by a machine learning technique","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"physics.ao-ph","authors_text":"Sarker Miraz Mahfuz, Thomas Slawig","submitted_at":"2025-06-12T08:28:00Z","abstract_excerpt":"We used precomputed steady states obtained by a spin-up for a global marine ecosystem model as training data to build a mapping from the small number of biogeochemical model parameters onto the three-dimensional converged steady annual cycle. The mapping was performed by a conditional variational autoencoder (CVAE) with mass correction. Applied for test data, we show that the prediction obtained by the CVAE already gives a reasonable good approximation of the steady states obtained by a regular spin-up. However, the predictions do not reach the same level of annual periodicity as those obtaine"},"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":"2506.10475","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2025-06-12T08:28:00Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b866245c08a6ecbcf746eae1f6b004bb67a036b65681da7d7de593cbee62dd9b","abstract_canon_sha256":"2da760b29ba1b3778a6329783e438fc60f468b621ee3a7225516c1ff93835d8b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:20:24.524654Z","signature_b64":"J1mY8G9UBDceA/rUCD/eMsbikWnHd9yXArPrO1hew4BvLda8Z0gkJDNpz03EPOC0bf+cWQulcwcPy2Mrh3o7CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d79c1eceda803f6ed2f37dcf689c246480220f3a4ca2dbbd6ec350770c47f5b8","last_reissued_at":"2026-07-05T11:20:24.524150Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:20:24.524150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Prediction of steady states in a marine ecosystem model by a machine learning technique","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"physics.ao-ph","authors_text":"Sarker Miraz Mahfuz, Thomas Slawig","submitted_at":"2025-06-12T08:28:00Z","abstract_excerpt":"We used precomputed steady states obtained by a spin-up for a global marine ecosystem model as training data to build a mapping from the small number of biogeochemical model parameters onto the three-dimensional converged steady annual cycle. The mapping was performed by a conditional variational autoencoder (CVAE) with mass correction. Applied for test data, we show that the prediction obtained by the CVAE already gives a reasonable good approximation of the steady states obtained by a regular spin-up. However, the predictions do not reach the same level of annual periodicity as those obtaine"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10475","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/2506.10475/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":"2506.10475","created_at":"2026-07-05T11:20:24.524209+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.10475v1","created_at":"2026-07-05T11:20:24.524209+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10475","created_at":"2026-07-05T11:20:24.524209+00:00"},{"alias_kind":"pith_short_12","alias_value":"26OB5TW2QA7W","created_at":"2026-07-05T11:20:24.524209+00:00"},{"alias_kind":"pith_short_16","alias_value":"26OB5TW2QA7W5UXT","created_at":"2026-07-05T11:20:24.524209+00:00"},{"alias_kind":"pith_short_8","alias_value":"26OB5TW2","created_at":"2026-07-05T11:20:24.524209+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/26OB5TW2QA7W5UXTPXHWRHBEMS","json":"https://pith.science/pith/26OB5TW2QA7W5UXTPXHWRHBEMS.json","graph_json":"https://pith.science/api/pith-number/26OB5TW2QA7W5UXTPXHWRHBEMS/graph.json","events_json":"https://pith.science/api/pith-number/26OB5TW2QA7W5UXTPXHWRHBEMS/events.json","paper":"https://pith.science/paper/26OB5TW2"},"agent_actions":{"view_html":"https://pith.science/pith/26OB5TW2QA7W5UXTPXHWRHBEMS","download_json":"https://pith.science/pith/26OB5TW2QA7W5UXTPXHWRHBEMS.json","view_paper":"https://pith.science/paper/26OB5TW2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.10475&json=true","fetch_graph":"https://pith.science/api/pith-number/26OB5TW2QA7W5UXTPXHWRHBEMS/graph.json","fetch_events":"https://pith.science/api/pith-number/26OB5TW2QA7W5UXTPXHWRHBEMS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/26OB5TW2QA7W5UXTPXHWRHBEMS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/26OB5TW2QA7W5UXTPXHWRHBEMS/action/storage_attestation","attest_author":"https://pith.science/pith/26OB5TW2QA7W5UXTPXHWRHBEMS/action/author_attestation","sign_citation":"https://pith.science/pith/26OB5TW2QA7W5UXTPXHWRHBEMS/action/citation_signature","submit_replication":"https://pith.science/pith/26OB5TW2QA7W5UXTPXHWRHBEMS/action/replication_record"}},"created_at":"2026-07-05T11:20:24.524209+00:00","updated_at":"2026-07-05T11:20:24.524209+00:00"}