{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ILWWHORL2BMAMMUBTNCSMXFSNA","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":"2d6b932f6bb497e131dced2e06a1800ce04c35ea6ab5a9bfd9d3d3a1dcc5940e","cross_cats_sorted":["physics.flu-dyn"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-15T11:34:56Z","title_canon_sha256":"eec51ad91ed04ad229c9b3237c8d0ccbe882763438cbd3528dc63adf0fff4c11"},"schema_version":"1.0","source":{"id":"2501.08738","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.08738","created_at":"2026-07-05T11:59:10Z"},{"alias_kind":"arxiv_version","alias_value":"2501.08738v3","created_at":"2026-07-05T11:59:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.08738","created_at":"2026-07-05T11:59:10Z"},{"alias_kind":"pith_short_12","alias_value":"ILWWHORL2BMA","created_at":"2026-07-05T11:59:10Z"},{"alias_kind":"pith_short_16","alias_value":"ILWWHORL2BMAMMUB","created_at":"2026-07-05T11:59:10Z"},{"alias_kind":"pith_short_8","alias_value":"ILWWHORL","created_at":"2026-07-05T11:59:10Z"}],"graph_snapshots":[{"event_id":"sha256:84e34b6f1f59a4fe4dfb86bafb72dedc52349525eabfe560186c80ffa97b013c","target":"graph","created_at":"2026-07-05T11:59:10Z","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/2501.08738/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a novel masked pre-training technique for graph neural networks (GNNs) applied to computational fluid dynamics (CFD) problems. By randomly masking up to 40\\% of input mesh nodes during pre-training, we force the model to learn robust representations of complex fluid dynamics. We pair this masking strategy with an asymmetric encoder-decoder architecture and gated multi-layer perceptrons to further enhance performance. The proposed method achieves state-of-the-art results on seven CFD datasets, including a new challenging dataset of 3D intracranial aneurysm simulations with over 250","authors_text":"Elie Hachem, Jonathan Viquerat, Paul Garnier, Vincent Lannelongue","cross_cats":["physics.flu-dyn"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-15T11:34:56Z","title":"MeshMask: Physics-Based Simulations with Masked Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.08738","kind":"arxiv","version":3},"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":"sha256:843025162b1b38dcb67be61a6f4f8b0468c6042548a45a0a66a9c2e1e079280b","target":"record","created_at":"2026-07-05T11:59:10Z","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":"2d6b932f6bb497e131dced2e06a1800ce04c35ea6ab5a9bfd9d3d3a1dcc5940e","cross_cats_sorted":["physics.flu-dyn"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-15T11:34:56Z","title_canon_sha256":"eec51ad91ed04ad229c9b3237c8d0ccbe882763438cbd3528dc63adf0fff4c11"},"schema_version":"1.0","source":{"id":"2501.08738","kind":"arxiv","version":3}},"canonical_sha256":"42ed63ba2bd0580632819b45265cb2683bec28c3e970021bf7eaafb6757eac9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42ed63ba2bd0580632819b45265cb2683bec28c3e970021bf7eaafb6757eac9d","first_computed_at":"2026-07-05T11:59:10.268805Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:10.268805Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xi/7+SRhd6LxwqwOtcxBzU4chejinJr1f+9vlsWJy9NVbL2/7UmCiyhcu39Ej0sK8YUjx/RgfCnl00HgBio1AA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:10.269267Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.08738","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:843025162b1b38dcb67be61a6f4f8b0468c6042548a45a0a66a9c2e1e079280b","sha256:84e34b6f1f59a4fe4dfb86bafb72dedc52349525eabfe560186c80ffa97b013c"],"state_sha256":"8311e526400a506f7486fb6ca120e6b3b52edc148d7916712266d0a37fe816b3"}