{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FCGVHHWNI7R7FTXJTYJGQ3EKNZ","short_pith_number":"pith:FCGVHHWN","canonical_record":{"source":{"id":"2506.22662","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-06-27T22:07:54Z","cross_cats_sorted":[],"title_canon_sha256":"4360e3dba818709f292795083c634a0fae3e2141472617f8ad1dad33d969db8c","abstract_canon_sha256":"2a19f0135cb8550a028a15ca0dbbf053b9a4a0ba767b91e6ae946973691ed470"},"schema_version":"1.0"},"canonical_sha256":"288d539ecd47e3f2cee99e12686c8a6e4307a7e0fcd8f9d30034a1b52d1299e7","source":{"kind":"arxiv","id":"2506.22662","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.22662","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"arxiv_version","alias_value":"2506.22662v1","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22662","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_12","alias_value":"FCGVHHWNI7R7","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_16","alias_value":"FCGVHHWNI7R7FTXJ","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_8","alias_value":"FCGVHHWN","created_at":"2026-07-05T11:28:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FCGVHHWNI7R7FTXJTYJGQ3EKNZ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.22662","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-06-27T22:07:54Z","cross_cats_sorted":[],"title_canon_sha256":"4360e3dba818709f292795083c634a0fae3e2141472617f8ad1dad33d969db8c","abstract_canon_sha256":"2a19f0135cb8550a028a15ca0dbbf053b9a4a0ba767b91e6ae946973691ed470"},"schema_version":"1.0"},"canonical_sha256":"288d539ecd47e3f2cee99e12686c8a6e4307a7e0fcd8f9d30034a1b52d1299e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:42.752096Z","signature_b64":"S0a+YhIczX4Fc2oetEaaPJIuWhKbkWoSBjPau8mJRR4Np8F7VtTyPM7ylG3ReMKK8VMDTWmwtptz70RI4vBpAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"288d539ecd47e3f2cee99e12686c8a6e4307a7e0fcd8f9d30034a1b52d1299e7","last_reissued_at":"2026-07-05T11:28:42.751606Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:42.751606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.22662","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AwRg/58TrAmDF/5OQLaht8SQ9x/KJBf4cxQDLBsjCYHWgPmUqKz6kVKUkVvXx8Gemfol2EDSzMh7IbGhPAjdDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:56:42.174343Z"},"content_sha256":"f81cb181f240c2765ae4f303b01ee631f457e76090b4662df547fc9013fa534a","schema_version":"1.0","event_id":"sha256:f81cb181f240c2765ae4f303b01ee631f457e76090b4662df547fc9013fa534a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FCGVHHWNI7R7FTXJTYJGQ3EKNZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.comp-ph","authors_text":"Jun Li, Karl Jenkins, Lushun Fan, Yuqin Xia","submitted_at":"2025-06-27T22:07:54Z","abstract_excerpt":"This study explores the possibilities of automating the loading, classification and assessment of Computational Fluid Dynamics (CFD) mesh data by Convolutional Neural Networks (CNNs). The research aim is finding a feasible way to quickly make classification and assessment on airfoil mesh data. For this purpose, this study designed a new framework named CFD-based airfoil Classification and Assessment Network (AirCANS) for CFD mesh data which including the data loader and improved the CNN structure to achieve our target. In our research, we found that CNNs are fully adaptable as well as understa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22662","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/2506.22662/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SEKUTFMlbUZvD4qF8kcyu8EQP86jjMqznCFQZBVc0QE7fq1kI7wQcmJ9jkT5eEcWR4akaGRXG8joaf+OPgf5Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:56:42.175244Z"},"content_sha256":"8eddd40a7f754b0f43143e32fcffaa99c543a0c0f48ebb1a28eacd59ec55ca76","schema_version":"1.0","event_id":"sha256:8eddd40a7f754b0f43143e32fcffaa99c543a0c0f48ebb1a28eacd59ec55ca76"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FCGVHHWNI7R7FTXJTYJGQ3EKNZ/bundle.json","state_url":"https://pith.science/pith/FCGVHHWNI7R7FTXJTYJGQ3EKNZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FCGVHHWNI7R7FTXJTYJGQ3EKNZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T13:56:42Z","links":{"resolver":"https://pith.science/pith/FCGVHHWNI7R7FTXJTYJGQ3EKNZ","bundle":"https://pith.science/pith/FCGVHHWNI7R7FTXJTYJGQ3EKNZ/bundle.json","state":"https://pith.science/pith/FCGVHHWNI7R7FTXJTYJGQ3EKNZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FCGVHHWNI7R7FTXJTYJGQ3EKNZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FCGVHHWNI7R7FTXJTYJGQ3EKNZ","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":"2a19f0135cb8550a028a15ca0dbbf053b9a4a0ba767b91e6ae946973691ed470","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-06-27T22:07:54Z","title_canon_sha256":"4360e3dba818709f292795083c634a0fae3e2141472617f8ad1dad33d969db8c"},"schema_version":"1.0","source":{"id":"2506.22662","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.22662","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"arxiv_version","alias_value":"2506.22662v1","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22662","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_12","alias_value":"FCGVHHWNI7R7","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_16","alias_value":"FCGVHHWNI7R7FTXJ","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_8","alias_value":"FCGVHHWN","created_at":"2026-07-05T11:28:42Z"}],"graph_snapshots":[{"event_id":"sha256:8eddd40a7f754b0f43143e32fcffaa99c543a0c0f48ebb1a28eacd59ec55ca76","target":"graph","created_at":"2026-07-05T11:28:42Z","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/2506.22662/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study explores the possibilities of automating the loading, classification and assessment of Computational Fluid Dynamics (CFD) mesh data by Convolutional Neural Networks (CNNs). The research aim is finding a feasible way to quickly make classification and assessment on airfoil mesh data. For this purpose, this study designed a new framework named CFD-based airfoil Classification and Assessment Network (AirCANS) for CFD mesh data which including the data loader and improved the CNN structure to achieve our target. In our research, we found that CNNs are fully adaptable as well as understa","authors_text":"Jun Li, Karl Jenkins, Lushun Fan, Yuqin Xia","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-06-27T22:07:54Z","title":"AirCANS: CFD 2D Mesh Optimisation-based Airfoil Classification and Assessment using Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22662","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:f81cb181f240c2765ae4f303b01ee631f457e76090b4662df547fc9013fa534a","target":"record","created_at":"2026-07-05T11:28:42Z","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":"2a19f0135cb8550a028a15ca0dbbf053b9a4a0ba767b91e6ae946973691ed470","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2025-06-27T22:07:54Z","title_canon_sha256":"4360e3dba818709f292795083c634a0fae3e2141472617f8ad1dad33d969db8c"},"schema_version":"1.0","source":{"id":"2506.22662","kind":"arxiv","version":1}},"canonical_sha256":"288d539ecd47e3f2cee99e12686c8a6e4307a7e0fcd8f9d30034a1b52d1299e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"288d539ecd47e3f2cee99e12686c8a6e4307a7e0fcd8f9d30034a1b52d1299e7","first_computed_at":"2026-07-05T11:28:42.751606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:42.751606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S0a+YhIczX4Fc2oetEaaPJIuWhKbkWoSBjPau8mJRR4Np8F7VtTyPM7ylG3ReMKK8VMDTWmwtptz70RI4vBpAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:42.752096Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.22662","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f81cb181f240c2765ae4f303b01ee631f457e76090b4662df547fc9013fa534a","sha256:8eddd40a7f754b0f43143e32fcffaa99c543a0c0f48ebb1a28eacd59ec55ca76"],"state_sha256":"a04d56d2eaa94dd722045f76f7e489776d7c247efafd298e3bb79d8469b477e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sOJdVbPnvtM9iPm7RxVvYCsubODbcMihhQMtAGSWEFzInTP2RpWHRHFLltXpA4i78E+HnA65KXSuhML+bycEBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:56:42.180695Z","bundle_sha256":"4f94067881e0b2979fa5a1a1b44fa5f09f3d11f1c5e4f8967e6b4d4073f0666d"}}