{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Y5KXAXV4FHPIGLXNVLDOIQB3V4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c0976e77235984fdfb576074dd02a475e917a89b7dd9148b5b3a93f9511f5c69","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.EP","submitted_at":"2025-05-21T21:47:43Z","title_canon_sha256":"9be32a8c1e71ae6bada69fe23eeb5cb79ef21248c38c4c9b25bc9119e57e94c8"},"schema_version":"1.0","source":{"id":"2505.16041","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16041","created_at":"2026-07-05T11:07:28Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16041v1","created_at":"2026-07-05T11:07:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16041","created_at":"2026-07-05T11:07:28Z"},{"alias_kind":"pith_short_12","alias_value":"Y5KXAXV4FHPI","created_at":"2026-07-05T11:07:28Z"},{"alias_kind":"pith_short_16","alias_value":"Y5KXAXV4FHPIGLXN","created_at":"2026-07-05T11:07:28Z"},{"alias_kind":"pith_short_8","alias_value":"Y5KXAXV4","created_at":"2026-07-05T11:07:28Z"}],"graph_snapshots":[{"event_id":"sha256:bfc930937aaea93660c430d10f5bf18376b3d2567354091f4017fffabaf7caaf","target":"graph","created_at":"2026-07-05T11:07:28Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.16041/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mantle convection simulations are an essential tool for understanding how rocky planets evolve. However, the poorly known input parameters to these simulations, the non-linear dependence of transport properties on pressure and temperature, and the long integration times in excess of several billion years all pose a computational challenge for numerical solvers. We propose a physics-based machine learning approach that predicts creeping flow velocities as a function of temperature while conserving mass, thereby bypassing the numerical solution of the Stokes problem. A finite-volume solver then ","authors_text":"Ali Can Bekar, Christian H\\\"uttig, David S. Greenberg, Nicola Tosi, Siddhant Agarwal","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.EP","submitted_at":"2025-05-21T21:47:43Z","title":"Physics-based machine learning for mantle convection simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16041","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:176795f550f66d295332159603afd35a0e30c53f485f1dda55cdf4a79d84c554","target":"record","created_at":"2026-07-05T11:07:28Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c0976e77235984fdfb576074dd02a475e917a89b7dd9148b5b3a93f9511f5c69","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.EP","submitted_at":"2025-05-21T21:47:43Z","title_canon_sha256":"9be32a8c1e71ae6bada69fe23eeb5cb79ef21248c38c4c9b25bc9119e57e94c8"},"schema_version":"1.0","source":{"id":"2505.16041","kind":"arxiv","version":1}},"canonical_sha256":"c755705ebc29de832eedaac6e4403baf37d83da7366bdd42e1b5854ada1d9ea3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c755705ebc29de832eedaac6e4403baf37d83da7366bdd42e1b5854ada1d9ea3","first_computed_at":"2026-07-05T11:07:28.917519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:28.917519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4q3EbbMaTyXixPe2IndrVHdtelD4WIgYG2uPk2JpLkUrvYrF1atvG3XkKADzyXbH0jB9SsJEEsG/FBgJxIafBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:28.918019Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16041","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:176795f550f66d295332159603afd35a0e30c53f485f1dda55cdf4a79d84c554","sha256:bfc930937aaea93660c430d10f5bf18376b3d2567354091f4017fffabaf7caaf"],"state_sha256":"d8a546c040985e28152f7c82145b74adc6ac4ac400128730fc6610cf49cccc37"}