{"as_of":"2026-08-09T16:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:388ddf2752147b9ef765d6cdb20f203e4b617a365f2a9ad11312d8dad098dcf0","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T05:13:21.472236Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.11497/citation-record","integrity":"/paper/2607.11497/integrity","json":"/paper/2607.11497/citation-record.json","paper":"/paper/2607.11497"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:5b800ad8a882da4582ea52603a2ae835eed4fb13912ff092d1378455e61644c0","observation_id":"a4aaa003-ee60-44b1-9582-fb6b64388b30","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Croitoru, V","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:db91fc10c81c5e14af409732e3789b0d14c0b4048062e61333edd5858eb8d462","observation_id":"03fd4959-eedb-444c-8d09-823885b9fb73","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07730","last_updated":"2024-03-31T21:20:30Z","snapshot_observed_at":"2026-08-08T17:54:04.911531Z","submitted_at":"2023-02-12T01:26:49Z","title":"Transformer models: an introduction and catalog","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07730","snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Amatriain, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"cited_paper":"/paper/2302.07730","citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:900fb2270da1d9f4f5499d91385f0c5333d90467a7cc49f5992ce87de793c564","observation_id":"c73d9eca-2a7a-4ead-ae7b-a4458c403534","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:d1ca5c45019881525760b9ffac0c32765580021fba3454bbf99f0ad0b3187836","observation_id":"a52d4aaa-3c8c-4f7b-9cb5-e67df78f6699","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:b9bc974af1cb4146e592e5e39755082d023680ed5d2a05e994d59ccdd714368d","observation_id":"cb716829-07c7-412c-9a04-ff54789a4fce","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:08d2dff91b1a57119ee4736f0f6a923ffa713123ea31632bfcdadb9122240a10","observation_id":"467f512c-4236-49d6-a575-f044890438e4","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:6a15786b1dc7794f1a1ca403e3e33d92a217d5cba2b4a6120dfa427a3c0e20e0","observation_id":"c0ebaf0d-9f10-4b9a-9c70-0d7fce46f69b","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Koestler, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:81eef8fb1482e6eb8348a909737c6daf3ebd92d508b20de0ce4bf0ec2f985089","observation_id":"62c519ab-5144-4551-99d6-65f774c0012e","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Meilă, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:1b949e88fc9d460cdcbb205c3dcc650280b80ac9cda9c9b90f1f30a260248400","observation_id":"5bd4156b-9dd0-43d7-98c2-f55f1ad8e518","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Zhang, W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:ec0a499d112f669934a331141ce8b02e88af55ce7dddd904c6e44add90d06271","observation_id":"4c9e98ba-75ec-4b7d-a7d1-d03d2fcb7884","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Mettes, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:33445cc8254ca92f4976c7babe809a29a2a60a8f1b9d39f67baa072a14135d94","observation_id":"9a6f388b-1253-45d8-9345-846775c840d7","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:39b5b507f204bfcc8fbf4149392d7ca92ce69439a9d80f41d6ebdfc4d08e9735","observation_id":"8021c466-18f1-4176-a4bd-ab5de3f688d0","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Xiang, L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:a88e0d6a6a6b331e24168f118616af9efefb1a5039321a3aa5496f5ec477cb12","observation_id":"1e515dbb-8f94-4286-a9ad-84857d099edd","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:a2858a93a22d508bd16dfe56a3a8c758313f29f41bed03137f2fa5b1fe9fdf9a","observation_id":"d3f5eff6-4420-4144-9a71-54a29fd88fbe","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:b0e9ba13c1e2320b0260685336230d5c80f243a555a0c90556632528e6a62fb4","observation_id":"bcd88d2b-137c-4941-8cc2-21256c584277","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Van Slooten, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:26bea945099ffb28666e0f12762dece241aee7734541aed4930da18e44fbc84f","observation_id":"e20915cd-1a11-454b-b460-b4d9df38a1df","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.04757","last_updated":"2023-07-06T04:12:37Z","snapshot_observed_at":"2026-08-05T01:30:05.853725Z","submitted_at":"2021-01-12T21:25:45Z","title":"Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.04757","snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"cited_paper":"/paper/2101.04757","citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:20234438bf9070193393d169e3a53a09ca042c99ebb6a7f6e1b8389f8a9f3e7d","observation_id":"3e8735b6-78b2-4bf8-a1df-812cf3a963ef","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:43b973019239e6b141565a661d1698965e1b6fdeba2127c944bbf20437e3e214","observation_id":"a62dfe5c-34b6-47f7-88a9-6d3d32b529a6","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:f0a024ad517267dccb1b49c85deb3e79a717f71a22030c6a199bb0d3f51853c2","observation_id":"27a06ccb-db1c-4f69-bf3a-0a3c55c47283","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Vaswani, N","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:a8e2510646511082a65fd11486a51f9e08430e5ff1925776b7e61fd46c9785f9","observation_id":"713985ef-5652-4616-b41d-26d0707fcc24","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":"Jiang, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:423bf182bd66bb9c47fba4acc80f95c8a31cb6acd53fff3584884b929c63ff04","observation_id":"b3bcbd48-5d47-482a-846b-d0767005f300","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T05:13:21.472236Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-14T05:13:21.472236Z"},"links":{"citing_paper":"/paper/2607.11497"},"observation_digest":"sha256:cc24743b9cd2fd25270317bbdedc8428b9e8f1d104c7792662981bf9da88cfd0","observation_id":"fff13870-8f92-40de-b886-94583b5a638d","resolution":{"observed_at":"2026-07-14T05:13:21.472236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.11497","last_updated":"2026-07-13T12:49:48Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-16T23:19:50.328077Z","submitted_at":"2026-07-13T12:49:48Z","title":"IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":22},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.11497."}