{"as_of":"2026-08-08T19:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:20617cd4e22f565bd4015c4ddddfb37b8c919c0a2923c11ac73d858950f9f565","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T00:40:47.956420Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2605.29769/citation-record","integrity":"/paper/2605.29769/integrity","json":"/paper/2605.29769/citation-record.json","paper":"/paper/2605.29769"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.13712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T00:42:56.550196Z","title":"Aghili, H","venue":null,"work_id":"d89bcbb1-c2f0-4042-ac5e-ba9314301fb6","year":2026},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:2073cd42832f19ec8851e4a0680754ec9a3c3807e136bf8b55af61ac054f2c73","observation_id":"68b35992-1ab5-4458-9f04-3d14b546ff5f","resolution":{"observed_at":"2026-06-29T00:42:56.551527Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T00:40:47.956420Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:18e3ec061dca315c1e42e84f031f7ba1209872fc0c887defb52f7a0c91f989fe","observation_id":"a54015e6-9b1f-4b10-bd45-99b5a63a7322","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Ares de Parga, R","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:70a24c41bc32b3b1f6808d146b891ab6d4ce3a15517bfab81a335c9e5d2c8996","observation_id":"4091855c-8cc9-47c4-a8ec-e3662b15639e","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Quadraticapproximationmanifoldformitigatingthekolmogorovbarrier in nonlinear projection-based model order reduction.J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:99c0026b0a7a8cd36fe13588e09d7fad5dd9953fddd51cdfb68c1dd48dfd4f6a","observation_id":"c4843c50-daec-4e5f-9ce6-6c485d19eb51","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Barnett, C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:2c548faca739f6b5ceb7d4c3cb92087c69b0ca6574105db07baa3c293d2c330f","observation_id":"b231f70f-88b8-417b-b425-21585d911624","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Barral, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:0be843a9ddb3d23e6fe51595fbef7d4c8b5a7969fdaf8a23f0b2e5c28e99dbb3","observation_id":"21e60cde-9cd9-4727-ad2d-a516a93f5615","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Barrault, Y","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:e24ccf8ab9e72276f10ef33136811525b0217e18be97dcfffadb12dae3928b04","observation_id":"35d7bc80-a91e-44b3-bb72-341ff6d226a5","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Benner, S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:db03e39f486654f9fb256a5dbd2b5e0cc9784ff9aa1b662211cc655a92b487dd","observation_id":"ea3e34b7-e345-4075-8eaa-3feeab161e9b","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Cagniart, Y","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:315ce2c3d0f35352b4535362f3bf6ba78ba5ef27a6cee31359538991f1fd4599","observation_id":"5290f95b-1b45-46aa-bbce-2e82274b40a2","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Carlberg, C","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:53c1dd4f96e08e81f85d10ed6bae582031e192eaa33a1346fbdd8ce9615badd7","observation_id":"31854f36-22da-428e-afe9-0e50fd1988c6","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Chaturantabut and D","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:98aa6e8d20f71712aa873cda1529c20cc0a0c0466abf009295f938d80cf610d6","observation_id":"df71aa6b-7c72-4e5d-8421-13c2c09143c7","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Chinesta, E","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:0337e3156af4079a548d2107275bcf5077dcf16ac285822b969bd63be4ae5cfb","observation_id":"dee2c8b5-20c5-4e72-846e-e1e284f98ed7","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.09830","last_updated":"2026-05-25T16:26:40Z","snapshot_observed_at":"2026-08-07T04:37:00.519917Z","submitted_at":"2025-06-11T15:10:02Z","title":"Machine Learning-based quadratic closures for non-intrusive Reduced Order Models","version":2},"cited_work":{"arxiv_id":"2506.09830","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.09830","snapshot_observed_at":"2026-07-03T15:58:37.903787Z","title":"Machine Learning-based quadratic closures for non-intrusive Reduced Order Models","venue":"math.NA","work_id":"32a1c763-14f1-4e66-b2fa-f2323582e4b7","year":2025},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"cited_paper":"/paper/2506.09830","citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:4989a0ca9b6323761d86128410313140fa2bd3cf50343e513347e9030c302863","observation_id":"f6cc134a-adb4-4cdf-9344-784735418468","resolution":{"observed_at":"2026-06-29T00:42:56.553885Z","resolver_source":"local_arxiv","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T00:40:47.956420Z","title":"Ehrlacher, D","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:c8a0bd7d06f3cbc2626e704e3340761cf3a620324836c16acd2a68e5ab1de02f","observation_id":"da30d157-98e9-44aa-858d-06d5d740a53b","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:79d97b816bc4282825fce79f4c664b2dd7e99cd5af3fb820905cfaca755f0473","observation_id":"20590499-33f4-4703-9a0e-360613e23460","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Fresca, L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:d97618f0578ff1f0f081f7c39f086c111747cee1d21293f4b231b60b023108a1","observation_id":"7b39f729-8ff1-4cd1-a295-b9a82ad06761","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Fresca and A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:8e0e001907d9337d5cbe140e1c670f5c9de541fd138ed02344441354917c373e","observation_id":"32cbe093-1b0d-4da5-be49-040870ccc02c","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Geelen, L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:d34c4d498f42454649efeba9be4336131d3d614e47f240db1dc38de5fdc9ea9f","observation_id":"2976db73-517c-4852-b640-808ccadc36bb","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Grimberg, C","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:81f2d24041fe1c2a7ff2109e27869061b1cea4ad7e0be656537f7e6b6e1c4277","observation_id":"66372727-bbd8-4e44-816f-008f8c121a7e","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Grundel and N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:12c6c15f7384cc0aa776e86ebd871f17bb415b67ecc7249f708524157d8e22a4","observation_id":"2a7cc946-9348-4f78-a1fa-d06593d073be","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Hesthaven and S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:1bfac5d131a40acee18bc5b463ef2137cad3b81ba4c164e93f03451b6b9e6545","observation_id":"c7729e25-d206-4a31-8a46-4253dbc72beb","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2603.04232","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T00:42:56.555050Z","title":"Khamlich, N","venue":null,"work_id":"cb26bce0-4cc0-4a8e-9870-c3895d7b1bb8","year":2026},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:d136fd4b905f0c0f5d7ab0644eea37a26741406eecbeb6a8c8ff2b74cfe1200b","observation_id":"4a8d074b-ffe6-463d-8d2c-20019f297997","resolution":{"observed_at":"2026-06-29T00:42:56.556393Z","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T00:40:47.956420Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:6861aaa11205d6d1d17a9a0d8a43b4ccc59be05c4c76b32bb437dc267761c7dc","observation_id":"f79d5dc3-4a25-4025-a8df-68e5db8db5b1","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:d8635d25b5b13a4b2d340d68b7e0aae566da08cdd28803cf1810aba2ff2ec4a2","observation_id":"f98677ed-9ec6-4118-a8c6-b2fbed36cb42","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Lee and K","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:6d01a3f481084804b4adf29a8596e2ec9390adacd876691aab53c54dd038b8e0","observation_id":"ea434494-1dba-4ac7-976d-4ad8c7179ad6","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Manti, P.-H","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:1684846d72862a78e67e322e87f9f01c5a0620a57d29060bf4c06205c75a67cb","observation_id":"5216e27a-a542-42a2-b711-d420e93d33a8","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:e9c6a602f017c2fa6bb56a5f1771ac551f8078cbc8953f529d00e8f70cc1b9fa","observation_id":"a632c2de-eb4d-42f5-8480-758ad95fcf95","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:12eb4217f5d66c1d0af69e43ae6616049702b9b42750cb930e67fe017b7f6c55","observation_id":"ca6130ae-bf77-4669-a0e1-9abaa2797f5d","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Ohlberger and S","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:1a3b74a64061d562148c018c176a19212b1a286c23ce6756370d225a4999ebfd","observation_id":"08982dce-0fc3-4395-b296-2742329457fc","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Peherstorfer","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:7e828c9fbaae977601641c2a7c8cf873ac9d002be846cca3f8d6b4799205a9e3","observation_id":"1618a762-d91c-4d5b-bc9f-2bee2f4859d5","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:c673ef6e01d8521e66a5137063c0ed7c91c310e5d1e41acd52d34a1a864b70f2","observation_id":"eb3a838d-0722-455d-8b53-c66cba33b2a1","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Salvador, L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:6c1e3329b6ef67afdc8a18d51baa7b1ab7fde795c8ee124f235ad5daf16a35ca","observation_id":"a2446fde-83f6-4856-99f0-e09d492df298","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","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":"2026-06-29T00:40:47.956420Z","title":"Taddei and L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-29T00:40:47.956420Z"},"links":{"citing_paper":"/paper/2605.29769"},"observation_digest":"sha256:7ce648c4df75e5fca773f44e14ab3d1dad244d9496e641107da3ff0c50b2de61","observation_id":"7c45e2a3-6ed6-4e07-ba3e-95881d5a2e03","resolution":{"observed_at":"2026-06-29T00:40:47.956420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.29769","last_updated":"2026-05-28T11:14:06Z","latest_version":1,"primary_category":"math.DS","snapshot_observed_at":"2026-08-08T12:25:02.762684Z","submitted_at":"2026-05-28T11:14:06Z","title":"Surrogate modeling for convection-dominated parametric problems based on error learning"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":33},"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 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.29769."}