{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:65KVLDEE664FASLV6FXAEBDQD7","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":"fc11ff68960c92d7bec185f296df10c59534e79e90b8496842e1aeaf17a76f35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2023-01-09T09:50:14Z","title_canon_sha256":"1feb63c5da3e62ba94ed287feb461430b03b7fbeb0de0600a9a6bd9fe1810273"},"schema_version":"1.0","source":{"id":"2301.03228","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.03228","created_at":"2026-07-05T05:31:26Z"},{"alias_kind":"arxiv_version","alias_value":"2301.03228v1","created_at":"2026-07-05T05:31:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.03228","created_at":"2026-07-05T05:31:26Z"},{"alias_kind":"pith_short_12","alias_value":"65KVLDEE664F","created_at":"2026-07-05T05:31:26Z"},{"alias_kind":"pith_short_16","alias_value":"65KVLDEE664FASLV","created_at":"2026-07-05T05:31:26Z"},{"alias_kind":"pith_short_8","alias_value":"65KVLDEE","created_at":"2026-07-05T05:31:26Z"}],"graph_snapshots":[{"event_id":"sha256:105b2f11e6038708b45d10ac9e945a63eb8f8448e175d8d7e8f03b5a575c6a78","target":"graph","created_at":"2026-07-05T05:31:26Z","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/2301.03228/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sensing the fluid flow around an arbitrary geometry entails extrapolating from the physical quantities perceived at its surface in order to reconstruct the features of the surrounding fluid. This is a challenging inverse problem, yet one that if solved could have a significant impact on many engineering applications. The exploitation of such an inverse logic has gained interest in recent years with the advent of widely available cheap but capable MEMS-based sensors. When combined with novel data-driven methods, these sensors may allow for flow reconstruction around immersed structures, benefit","authors_text":"Eleni Chatzi, Gregory Duth\\'e, Imad Abdallah, Sarah Barber","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2023-01-09T09:50:14Z","title":"Graph Neural Networks for Aerodynamic Flow Reconstruction from Sparse Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.03228","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:ee72c714af8d506eddc17cc278b6c0420e9e3c85e4de2f1af0517d62192cfe10","target":"record","created_at":"2026-07-05T05:31:26Z","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":"fc11ff68960c92d7bec185f296df10c59534e79e90b8496842e1aeaf17a76f35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2023-01-09T09:50:14Z","title_canon_sha256":"1feb63c5da3e62ba94ed287feb461430b03b7fbeb0de0600a9a6bd9fe1810273"},"schema_version":"1.0","source":{"id":"2301.03228","kind":"arxiv","version":1}},"canonical_sha256":"f755558c84f7b8504975f16e0204701fc77368aeee2454e88e4fe7103c57c858","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f755558c84f7b8504975f16e0204701fc77368aeee2454e88e4fe7103c57c858","first_computed_at":"2026-07-05T05:31:26.940960Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:31:26.940960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1IFfcfLSJGZvn5C9XTxogYTBGg/RXzl6vnBdEGOa/7BEWs+5rFcu/Oqg4P0so7bz2Xi6cPWOWMPCvphmYna6BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:31:26.941574Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.03228","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee72c714af8d506eddc17cc278b6c0420e9e3c85e4de2f1af0517d62192cfe10","sha256:105b2f11e6038708b45d10ac9e945a63eb8f8448e175d8d7e8f03b5a575c6a78"],"state_sha256":"a49ef7a4792ea6b956d75b520353147524cf21a7a4631518fe9bf3324de94bb9"}