{"as_of":"2026-08-08T09:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1f4409a5d0300f386b3aa70bb05cecf28a14c39326e480486f467edc1c87e047","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:29:31.176289Z","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":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T12:39:34.792801Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T11:46:18.980347Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"cited_work":{"arxiv_id":"2508.21249","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.21249","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A mixture of experts gating network for enhanced surrogate modeling in external aerodynamics.arXiv preprint arXiv:2508.21249","venue":null,"work_id":"1573c02c-5f00-4191-a6e8-d054fa65ecb1","year":null},"citing_paper":{"arxiv_id":"2604.13369","last_updated":"2026-04-15T00:31:20Z","snapshot_observed_at":"2026-07-06T23:01:23.771347Z","submitted_at":"2026-04-15T00:31:20Z","title":"AeTHERON: Autoregressive Topology-aware Heterogeneous Graph Operator Network for Fluid-Structure Interaction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T12:39:34.792801Z"},"links":{"cited_paper":"/paper/2508.21249","citing_paper":"/paper/2604.13369"},"observation_digest":"sha256:791044452bb549704290fd38ef1e6ea887c7a6744e53f87f762e7c301f2eea68","observation_id":"dc26af43-e5ec-4cc2-8249-0036cb51d98b","resolution":{"observed_at":"2026-05-11T11:46:19.019341Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.21249/citation-record","integrity":"/paper/2508.21249/integrity","json":"/paper/2508.21249/citation-record.json","paper":"/paper/2508.21249"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.11969","last_updated":"2025-04-17T12:18:48Z","snapshot_observed_at":"2026-08-06T03:15:56.617939Z","submitted_at":"2024-08-21T19:47:41Z","title":"DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11969","snapshot_observed_at":"2026-08-05T14:29:28.858039Z","title":"Drivaerml: High- fidelity computational fluid dynamics dataset for road-car external aerodynamics","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:28.858039Z"},"links":{"cited_paper":"/paper/2408.11969","citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:fc2592056e981d635bde3c31bdfe6fb430b39dabeb85edc773bb0ec19fa19a05","observation_id":"4535a9e4-cadf-4c0b-99db-eaecbaf88642","resolution":{"observed_at":"2026-08-05T14:29:28.858039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04317","last_updated":"2025-02-06T18:57:57Z","snapshot_observed_at":"2026-08-05T08:54:23.547745Z","submitted_at":"2025-02-06T18:57:57Z","title":"Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04317","snapshot_observed_at":"2026-08-05T14:29:28.943798Z","title":"Factorized implicit global convolution for automotive computational fluid dynamics prediction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:28.943798Z"},"links":{"cited_paper":"/paper/2502.04317","citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:84e59c46a01b36115409b4246af104cd45ad247e6073da1348cb8a84f6122f63","observation_id":"52efafe4-79b0-490c-89bf-50e03300239b","resolution":{"observed_at":"2026-08-05T14:29:28.943798Z","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":"2026-08-05T14:29:29.074841Z","title":"Machine learning–accelerated computational fluid dynamics","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:29.074841Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:c47ba7324edcf1fc20390ede472e83c38a0e4668746bb4b52bdf8fb748252f34","observation_id":"1a177505-e9b0-4bc8-b3d5-d823ddfe0f07","resolution":{"observed_at":"2026-08-05T14:29:29.074841Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:34.417099Z","title":"Machine learning for road vehicle aerodynamics","venue":null,"work_id":"f0741048-47d7-4ca6-95cf-2e3d2dbe62d1","year":2024},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:29.169060Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:0ae0d660bcfd68925bf1d161985a5d0edeecf2e71f7beeae7639186a7302f237","observation_id":"216def5d-4312-44b1-a944-96355e13a63f","resolution":{"observed_at":"2026-08-05T14:29:34.566649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:34.102890Z","title":"Neural Con- cept, accessed August 27, 2025, https://www.neuralconcept.com/post/ applying-machine-learning-in-cfd-to-accelerate-simulation","venue":null,"work_id":"e5cfce85-2f51-4694-9114-09d187571749","year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:29.266446Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:acde267a07ced64bb683e74506dae55b2c9a6c523064514a135d9f1670d14ddc","observation_id":"fab9d7fa-fd75-4772-8459-f8f47324eb22","resolution":{"observed_at":"2026-08-05T14:29:34.252256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:33.833418Z","title":"Neuralcfd: Deep learning on high-fidelity automotive aerodynamics simulations","venue":null,"work_id":"211edef0-ad03-4721-8214-455133273db9","year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:29.369432Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:d8aabd0f2969403d96afb84f8d03f14a8e62f00a5e2f075c3c305a8e2b75cf68","observation_id":"be4dc481-5ea8-42b5-b2c4-0fe175aa1335","resolution":{"observed_at":"2026-08-05T14:29:33.956845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12171","last_updated":"2024-08-22T07:33:11Z","snapshot_observed_at":"2026-07-06T19:04:26.917233Z","submitted_at":"2024-08-22T07:33:11Z","title":"Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12171","snapshot_observed_at":"2026-08-05T14:29:29.515527Z","title":"Recent advances on machine learning for computational fluid dynamics: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:29.515527Z"},"links":{"cited_paper":"/paper/2408.12171","citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:86af4344b320ae123741c9d4efe169b59fab655c50163b4b04520ca2e2704ace","observation_id":"f1174164-324d-416a-b578-fa5376ca6a32","resolution":{"observed_at":"2026-08-05T14:29:29.515527Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:33.520906Z","title":"NVIDIA Docs, accessed August 27, 2025, https://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/examples/ cfd/vortex_shedding_mgn/readme.html","venue":null,"work_id":"26816b32-4f5b-4706-9fc1-b511c5421c71","year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:29.641153Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:58d484270dc822de8ee33376c8e582f6812eb7e9d0089947fa5994b33cf3bc7f","observation_id":"0c6ee588-2149-46c3-8d6b-2261a09925a9","resolution":{"observed_at":"2026-08-05T14:29:33.685722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:33.281790Z","title":"Reducing frequency bias of fourier neural operators in 3d seismic wavefield simulations through multistage training","venue":null,"work_id":"b759c936-2943-4a5b-9cab-d79e83ccbc12","year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:29.795420Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:46d77743804d9bf2b61093c3c44c6e8eb7f18171348d758cdb73f12b48f9f648","observation_id":"c913a851-1058-49ae-a958-0b43eb257bfc","resolution":{"observed_at":"2026-08-05T14:29:33.394174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:33.001252Z","title":"Efficient learning of mesh-based physical simulation with bi-stride multi-scale graph neural network","venue":null,"work_id":"ed4747a1-e305-4e1d-b093-2c62f0b6d8b3","year":2023},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:29.913923Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:27bec7dc3b84465f4d0e8a1921a44c8c6ffd0a3c7999bfc4fa69fb52a0faf94e","observation_id":"64ab2f5e-f560-4d6b-9db8-67d63a598226","resolution":{"observed_at":"2026-08-05T14:29:33.119347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:30.047458Z","title":"Hierarchical mixtures of experts and the em algorithm","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.047458Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:50ef8b23c1e7542aad851be251289838b770585906e191f0e2e5917b508bb62b","observation_id":"a1bf9560-cc14-465e-9299-36d3fc9b03c6","resolution":{"observed_at":"2026-08-05T14:29:30.047458Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:32.766139Z","title":"DataCamp, accessed August 27, 2025, https://www.datacamp.com/blog/mixture-of-experts-moe","venue":null,"work_id":"abedf452-5e7a-4ae0-b0dc-fc4e4b044096","year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.134791Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:214a51c271e4219bf9cea05d62a4ca4d9c4f95cbbd5f3b1ba3cbabdec00f8d4c","observation_id":"c230685d-4c23-43b4-94ad-ca6f30810371","resolution":{"observed_at":"2026-08-05T14:29:32.885742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:32.459768Z","title":"ˇCVUT DSpace, accessed August 27, 2025, https://dspace.cvut.cz/bitstream/handle/ 10467/123538/F3-BP-2025-Bakhtigariev-Robert-thesis.pdf","venue":null,"work_id":"65a3489c-c91e-49ed-b7f3-ffa6ab6db758","year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.234733Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:f5c53e22ee4d7dc07d36fb2bab9461c97aa5fc628f65d34da1f089a4cfaab7fc","observation_id":"d7a07f8c-b011-4e16-a79b-47ba18de0cfd","resolution":{"observed_at":"2026-08-05T14:29:32.626788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13350","last_updated":"2025-01-23T03:28:10Z","snapshot_observed_at":"2026-07-06T20:24:44.865798Z","submitted_at":"2025-01-23T03:28:10Z","title":"DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.13350","snapshot_observed_at":"2026-08-05T14:29:30.347832Z","title":"Domino: A decomposable multi-scale iterative neural operator for modeling large scale engineering simulations","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.347832Z"},"links":{"cited_paper":"/paper/2501.13350","citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:5e805b045a3ec0494af67a2c46dd01be07514b13f604fc276f427d5351501806","observation_id":"6a21982e-583b-432d-b3b0-d0e09507788b","resolution":{"observed_at":"2026-08-05T14:29:30.347832Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:32.258916Z","title":"Deus Ex Machina, ac- cessed August 27, 2025, https://deus-ex-machina-ism.com/?p=68105&lang=en","venue":null,"work_id":"18089a69-3f8a-4a56-b376-33130a7c5bce","year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.479813Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:dc72c8b92083030788415a6676d4ec6c82a23dd3bca505fe5db892c51c1b3de4","observation_id":"718543e6-f754-4afd-92cd-ca149de62829","resolution":{"observed_at":"2026-08-05T14:29:32.364977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17164","last_updated":"2024-12-20T03:48:03Z","snapshot_observed_at":"2026-08-01T16:42:55.439323Z","submitted_at":"2024-11-26T07:10:05Z","title":"X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17164","snapshot_observed_at":"2026-08-05T14:29:30.596211Z","title":"X- meshgraphnet: Scalable multi-scale graph neural networks for physics simulation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.596211Z"},"links":{"cited_paper":"/paper/2411.17164","citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:5efd08f588e70b554a95282a055e8ff1f258b02dec324080e10d79796e0c9094","observation_id":"a1f6fbbb-a543-4033-9475-077299976887","resolution":{"observed_at":"2026-08-05T14:29:30.596211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.00612","last_updated":"2022-10-02T20:16:20Z","snapshot_observed_at":"2026-08-08T00:04:21.380328Z","submitted_at":"2022-10-02T20:16:20Z","title":"MultiScale MeshGraphNets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.00612","snapshot_observed_at":"2026-08-05T14:29:30.695944Z","title":"Mul- tiscale meshgraphnets","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.695944Z"},"links":{"cited_paper":"/paper/2210.00612","citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:02e8c8b0edb7303470dfdd5a5a487fcca37ed4c543848b3620811a993853c29d","observation_id":"b82a6c1a-b2c4-4ba2-b39d-d8d5232fffb2","resolution":{"observed_at":"2026-08-05T14:29:30.695944Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:32.068154Z","title":"Integrated surrogate model-based approach for aerodynamic design optimization of three-stage axial compressor in gas turbine applications","venue":null,"work_id":"9372ed88-3b9c-48f5-8636-1996489e43a0","year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.814735Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:19c027187d36091d75b149461ca5b82095541801227b2e8b08b922ed444be023","observation_id":"96801e3e-fbad-4856-bf5f-710786d5ddd2","resolution":{"observed_at":"2026-08-05T14:29:32.166444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:31.819020Z","title":"The application of ensemble machine learning methods for construction of surrogate models in problems of preliminary design of an aircraft wing airfoil","venue":null,"work_id":"6e6b9986-1e2c-4a1d-a378-5b43c5a568cc","year":2024},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:30.919797Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:532b382ac7ac984cc31e83ea437dc687f3cc5c2a4b524981402b4241b15f49d0","observation_id":"aecf14ab-00ed-4e0a-8ef1-8519f28f00a1","resolution":{"observed_at":"2026-08-05T14:29:31.943256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:31.613737Z","title":"Airfoil aerodynamic optimization design using ensemble learning surrogate model","venue":null,"work_id":"87f2cbc9-afb4-4592-9b40-93f509bbf006","year":2024},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:31.065070Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:1e32b9506914e50f00fcea2df562f22088b6bca85167abf3778f401e375cbd49","observation_id":"5295b756-0273-4ffd-8f04-1f7a2b2747f0","resolution":{"observed_at":"2026-08-05T14:29:31.696982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:29:31.176289Z","title":"A comprehensive survey of mixture-of-experts: Algorithms, theory, and applications","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T14:29:31.176289Z"},"links":{"citing_paper":"/paper/2508.21249"},"observation_digest":"sha256:d0a010e71df52808f72c5da822ae1158299699db5cbe739f0968426b1a6ae155","observation_id":"4a2be4ee-44f8-4b54-9c0d-9b6ec81dd3da","resolution":{"observed_at":"2026-08-05T14:29:31.176289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.21249","last_updated":"2025-08-28T22:34:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T14:29:28.340763Z","submitted_at":"2025-08-28T22:34:10Z","title":"A Mixture of Experts Gating Network for Enhanced Surrogate Modeling in External Aerodynamics"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":21},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2508.21249."}