{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VKRXW4IHQKQAXLB3DMA5G47IG7","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":"40aff167f380966acc75f99693e14b9c144796a442d9e5810393160f1e95b898","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-26T09:13:16Z","title_canon_sha256":"5eccb4dddc4d372c3a9288450d1744d05c437389ecf385cd67117d75c9d3b06c"},"schema_version":"1.0","source":{"id":"2605.30375","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30375","created_at":"2026-06-01T00:02:08Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30375v1","created_at":"2026-06-01T00:02:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30375","created_at":"2026-06-01T00:02:08Z"},{"alias_kind":"pith_short_12","alias_value":"VKRXW4IHQKQA","created_at":"2026-06-01T00:02:08Z"},{"alias_kind":"pith_short_16","alias_value":"VKRXW4IHQKQAXLB3","created_at":"2026-06-01T00:02:08Z"},{"alias_kind":"pith_short_8","alias_value":"VKRXW4IH","created_at":"2026-06-01T00:02:08Z"}],"graph_snapshots":[{"event_id":"sha256:8be815ef3efa464e9f66dc9be6a15fdc7f9bcdf8503a4d8b15c47f8e174f666b","target":"graph","created_at":"2026-06-01T00:02:08Z","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/2605.30375/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-fidelity computational fluid dynamics is essential for aerospace design, but engineering-scale simulations of practical three-dimensional aircraft remain computationally expensive. Learning-based flow-field initialization can improve efficiency by reducing the numerical distance between the initial and converged solutions, yet existing deep learning approaches remain difficult to scale to large three-dimensional aircraft flows with multiscale regional heterogeneity. Most prior studies therefore focus on two-dimensional problems, surface quantities, integral aerodynamic coefficients, or si","authors_text":"Dehong Meng, Hao Wang, Hao Yue, Jie Liu, Junwu Hong, Rui Wang, Tiejun Li, Wei Li, Xinhai Chen, Yuhang Qi, Yunfei Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-26T09:13:16Z","title":"Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30375","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":"sha256:9181e5e722b9fc8d0f64ce8ffdfade718c224ad6c966ce5025393785581b83e8","target":"record","created_at":"2026-06-01T00:02:08Z","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":"40aff167f380966acc75f99693e14b9c144796a442d9e5810393160f1e95b898","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-05-26T09:13:16Z","title_canon_sha256":"5eccb4dddc4d372c3a9288450d1744d05c437389ecf385cd67117d75c9d3b06c"},"schema_version":"1.0","source":{"id":"2605.30375","kind":"arxiv","version":1}},"canonical_sha256":"aaa37b710782a00bac3b1b01d373e837e6518384544950ce8ff3e5cb49848802","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aaa37b710782a00bac3b1b01d373e837e6518384544950ce8ff3e5cb49848802","first_computed_at":"2026-06-01T00:02:08.159495Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T00:02:08.159495Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+qvMubLok/I46yaHbC2jx6chPwt/+UbnLBLPH/ZFYlMa8aaTHdTyY+uMNnsODYOHXgiV/f2j0UowFj3deVVlDw==","signature_status":"signed_v1","signed_at":"2026-06-01T00:02:08.160587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30375","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9181e5e722b9fc8d0f64ce8ffdfade718c224ad6c966ce5025393785581b83e8","sha256:8be815ef3efa464e9f66dc9be6a15fdc7f9bcdf8503a4d8b15c47f8e174f666b"],"state_sha256":"2c331685811e38be3e683abe33e712ad48affb1b22fb5e29b867289dd7d4f066"}