{"as_of":"2026-08-17T17:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9faf756024a55a8a17c61ce1b5b1a1644c07ee8f3616225404060b8eacea0d49","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:42:06.915033Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2507.10201/citation-record","integrity":"/paper/2507.10201/integrity","json":"/paper/2507.10201/citation-record.json","paper":"/paper/2507.10201"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:42:07.200216Z","title":"Recent developments combining ensemble smoother and deep gen- erative networks for facies history matching","venue":null,"work_id":"320035f3-5c38-4364-8893-966d611c7ecc","year":2021},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.812330Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:36a448750a49094c257cf56a8fead88b8b1b5391703a47ea126ab66b8088daee","observation_id":"fbdc31e0-8d7e-49c6-8f01-d59a7ade95c6","resolution":{"observed_at":"2026-08-06T17:42:07.202811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.192373Z","title":"Integration of en- semble data assimilation and deep learning for history matching facies mod- els","venue":null,"work_id":"e81781b3-f706-4224-bfa4-11df04674eac","year":2017},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.815746Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:5eb02669adbf70240d695c2aa548c54bf36516d8ba871ba847316f57a9c50bb1","observation_id":"748aa60c-0bda-44e5-8a5c-30be2a4cc797","resolution":{"observed_at":"2026-08-06T17:42:07.195210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.185331Z","title":"Geometrical Aspects of Manifold Learning","venue":null,"work_id":"d8933493-f3d6-46e9-a5ec-31eed6552fb1","year":2019},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.818536Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:561e062643b702ddf4d94ebe893f2032a4adffa6c7bb2cdbf36660380a56dc1f","observation_id":"e96896c0-8f5f-49cb-b634-134ed4c25951","resolution":{"observed_at":"2026-08-06T17:42:07.187661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.178198Z","title":"Latent space oddity: on the curvature of deep generative models, 2021","venue":null,"work_id":"9f95742b-8de4-48a8-ac6d-5ea45fa02b1d","year":2021},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.821245Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:6340cb2bafb98fb4005f07923f37c1d1d85bc33ea22b0b66881e7892530607e6","observation_id":"37529571-5b4a-41eb-96d5-bceef9afa686","resolution":{"observed_at":"2026-08-06T17:42:07.181325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.169526Z","title":"Variational autoencoder or generative adversarial networks? a comparison of two deep learning methods for flow and transport data assimilation","venue":null,"work_id":"a80ddb61-f1a3-4848-8aaf-aea94c610b16","year":2022},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.824073Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:4d35bdf94ae5bee8fdc67dd080415990148a14f39792ea0af0f42a68bdc16bcd","observation_id":"44aa54ab-e268-4115-9d89-af56a5290498","resolution":{"observed_at":"2026-08-06T17:42:07.173657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.161443Z","title":"Topology and data","venue":null,"work_id":"05ea8b22-1990-4dc4-bed6-fe78afbf59d1","year":2009},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.827695Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:c15a4c8f2936c074061e716698e9870358aa531b76a53cb9929037d02e9a35ae","observation_id":"3710eab1-0af3-4638-97ef-de5cf7360fc4","resolution":{"observed_at":"2026-08-06T17:42:07.163996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.154140Z","title":"Elsheikh","venue":null,"work_id":"04fcbbe1-15ad-41f1-b355-79b93a1470af","year":2018},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.830445Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:6b0734488dc828f5ac180ab9ba0f883308607d2cb9a978bbc0cc7115ad0d485c","observation_id":"d326cb0e-890f-4f5e-87f5-cf5b9ebfcaa2","resolution":{"observed_at":"2026-08-06T17:42:07.156841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.146961Z","title":"Elsheikh","venue":null,"work_id":"0572da72-eb88-4b40-b916-853aa3bb64e0","year":2019},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.832823Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:572f438e99ffa891ca831277bbd4312ca9140dfdd2ca9a75a1bb6193f02c0779","observation_id":"3055bf59-c818-4a83-8440-dc8182f8d070","resolution":{"observed_at":"2026-08-06T17:42:07.149689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.139498Z","title":"Elsheikh","venue":null,"work_id":"5789c74e-3943-404b-ae41-1f772fe69888","year":2019},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.835257Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:9578ff6439e950971ff6edcde28dcb018327b68d0309c618fe5686373c0c61ce","observation_id":"e72bf6ad-4258-4b6b-a7f2-d7f48ba5fe02","resolution":{"observed_at":"2026-08-06T17:42:07.142506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.131226Z","title":"Automated discovery of fundamental variables hidden in experimental data","venue":null,"work_id":"17356255-560c-4038-8824-c70dbe2e8ecb","year":2022},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.838708Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:8e1bec200244a6a65a67af629bbdc56f5f5f6c989cd6d57f22d44edcdd1e0d34","observation_id":"e472b293-bd30-409c-8ca1-424dc146d3f8","resolution":{"observed_at":"2026-08-06T17:42:07.134799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.123926Z","title":"Uncertainty quantification in reservoir prediction: Part 2—handling uncer- tainty in the geological scenario","venue":null,"work_id":"74ce70b5-993a-488d-9731-ef2441be6dfe","year":2018},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.842065Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:5b595bfdc87764eaa01f5ccab22e3aaa2c730e3e59da8e09b11334b4cefc6671","observation_id":"87b025f4-d033-4145-a424-53164e445ab2","resolution":{"observed_at":"2026-08-06T17:42:07.126716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.116010Z","title":"Generating realistic geology conditioned on physical measurements with generative adversarial networks, 2018","venue":null,"work_id":"1c161113-a91c-4b18-b559-0317eaf7b6ee","year":2018},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.845169Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:74c935e0de6059515f68bd0214bf90f9383f35cea2d8aecaf3ac1eefc87dd35e","observation_id":"9dc7627f-831f-4ed6-ae3d-6a37939403a8","resolution":{"observed_at":"2026-08-06T17:42:07.118869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.107793Z","title":"Edelsbrunner, D","venue":null,"work_id":"e0e00169-d541-4363-a3aa-6f3ba1509e5e","year":2000},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.847557Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:bcce08285d371d794cc4112b590bd8105ba9071c69e2f9726edcc109126ac355","observation_id":"c2a39cf4-7b44-4e7b-b9e5-94676fbaf3a4","resolution":{"observed_at":"2026-08-06T17:42:07.110528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.100441Z","title":"Guss and Ruslan Salakhutdinov","venue":null,"work_id":"a731054e-4a27-47af-8a61-90b369b0395f","year":2018},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.850148Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:586b6fb6c431207c12539c9508ff13681ec670246d14925ca969e34cc04fb6b3","observation_id":"0efda595-b18a-489d-b65f-2508d5dd7211","resolution":{"observed_at":"2026-08-06T17:42:07.103100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.853079Z","title":"The cma evolution strategy: A tutorial, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.853079Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:6ca6b4c166ae6bba8467baba2a65ad78831ed22086d8c6a55876a1b47d4116eb","observation_id":"fc600952-14aa-4489-a139-7e885832f8be","resolution":{"observed_at":"2026-08-06T17:42:06.853079Z","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":"2026-08-06T17:42:07.089278Z","title":"Analysis of a complex of statistical variables into principal components","venue":null,"work_id":"026540d7-e68e-4313-8e63-c9bdac7d9a7a","year":1933},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.855720Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:f117eeffbfe84d4ca14e3f46923c8a6009109e4d892175f1d0dd274878dfaad3","observation_id":"326538f7-b21e-4c3b-ac88-4cba3f54c35c","resolution":{"observed_at":"2026-08-06T17:42:07.091888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.081765Z","title":"Deep convolutional autoencoders for robust flow model calibration under uncertainty in geologic continuity","venue":null,"work_id":"de5ee50c-84c9-4d19-a8ed-bbc361527802","year":2021},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.860856Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:7801506925f643004797752918dedb0f3c38fb15f0125ab62af93d0f41b184c2","observation_id":"0dee05d4-b9fa-4333-92a3-69e2c46b8c5d","resolution":{"observed_at":"2026-08-06T17:42:07.084977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.073807Z","title":"Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification","venue":null,"work_id":"d284fb31-c148-417a-8898-9e20c23c0d5f","year":2013},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.864265Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:eee356652490af859718d3a93ef5d8bd765002e15917b741b46b5ae3354075d2","observation_id":"c74e6b73-7a0b-4d87-b1ec-dd12946a97f1","resolution":{"observed_at":"2026-08-06T17:42:07.076507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.066344Z","title":"Introduction to pullback metric","venue":null,"work_id":"963d90d2-5696-4ad8-8a5f-e835760228a5","year":2017},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.867209Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:806dc577e2a1f8726a11a23056e12769f4319b623fdb88f43a0fcccefa68e6a8","observation_id":"bf8cf27e-4d8a-43a0-be7c-9f7dbe4374d8","resolution":{"observed_at":"2026-08-06T17:42:07.069306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.058318Z","title":"Training- image based geostatistical inversion using a spatial generative adversarial neural network","venue":null,"work_id":"0dfb43e8-1c17-4c49-ab5f-28515e64bb1f","year":2018},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.869781Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:46d35ba2026863d7fc335a8115079cd2a55a534492548132c38f28bb2b38ee07","observation_id":"42a60e99-8df8-44a4-8020-60d8ed717ed4","resolution":{"observed_at":"2026-08-06T17:42:07.061230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.050945Z","title":"Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network","venue":null,"work_id":"15619022-8118-49be-a7bc-0249382ed2e4","year":2017},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.872730Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:c3e03470dcb20d9f45a7a8e6fc10c13ad3c6cd1801b7255a64dd02a1c3a106fc","observation_id":"78fa72b7-d5cf-427c-a450-0fe33ba48053","resolution":{"observed_at":"2026-08-06T17:42:07.053816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.042849Z","title":"Lawrence","venue":null,"work_id":"02ffbcfa-e41f-4c7f-a36f-482e7a7c6e50","year":2005},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.876462Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:cff2f20be6528bdf882021f1e6c7eb337a643995d827661227430da4744b6cf0","observation_id":"baaeb2ac-22ab-4ef1-830c-789be2ff27d3","resolution":{"observed_at":"2026-08-06T17:42:07.046440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.035072Z","title":"Feature extraction using a deep learning algorithm for uncertainty quantification of channelized reservoirs","venue":null,"work_id":"8f506ef8-e388-4421-879f-acb883192a7b","year":2018},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.879672Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:d5b8e20ea564724996edb0d11f7d6cc378f518cba972bdbd59f9c2c43ec9684d","observation_id":"5906e5a8-8841-493e-b3f0-c33e111177d5","resolution":{"observed_at":"2026-08-06T17:42:07.038286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.027182Z","title":"Maximum likelihood estimation of in- trinsic dimension","venue":null,"work_id":"4a2e088f-1e5d-4809-8d08-ef77e6cabf86","year":2004},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.882004Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:59615b4c2f019bc69fd8bb46073486a60958bd4f67eee457175e1eda7daa20ff","observation_id":"fa933a4a-16f6-40e5-94e8-0e9a34b734e8","resolution":{"observed_at":"2026-08-06T17:42:07.029900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.884684Z","title":"Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.884684Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:1821378899cc0a0e24020d643c80638631bec82cc70e82b45f50f3eae93a5c04","observation_id":"3583c004-583c-425b-ad49-90564957ef8a","resolution":{"observed_at":"2026-08-06T17:42:06.884684Z","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":"2026-08-06T17:42:07.015922Z","title":null,"venue":null,"work_id":"b412b75c-f0bb-4222-9d23-753c7a60d950","year":2019},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.888299Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:58b0727cf124d36063832dc42538cd4cdf07ac78916b9d713fe1e9fe772b78a9","observation_id":"14bb0261-05c4-4e6e-abd3-b153768450a5","resolution":{"observed_at":"2026-08-06T17:42:07.018654Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.009040Z","title":null,"venue":null,"work_id":"1aa4d584-31cb-4907-9ac7-c08f425113f0","year":1901},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.891754Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:a37be38b2b01b9ecbe9300823f6931cbb05e809f62107a5cd354cafcebdac8fe","observation_id":"1688b512-36d9-4d74-9bce-55c4b6bedbbd","resolution":{"observed_at":"2026-08-06T17:42:07.011752Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:07.001803Z","title":"Rubenstein, Bernhard Schoelkopf, and Ilya Tolstikhin","venue":null,"work_id":"189c6c97-2f97-4fb7-90ff-a15024b9f464","year":2018},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.894267Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:80e840449563222b0a757491b2fe31545b2a5184f786e42fab402f688c0d3c17","observation_id":"7b535cae-23cf-42df-ae39-43ffa2028a17","resolution":{"observed_at":"2026-08-06T17:42:07.004539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.994357Z","title":"Thomas Fletcher","venue":null,"work_id":"8362815d-d056-4c92-96be-6f3f3f5cdd4e","year":2017},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.896931Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:a9f895cd5b895f4999f5f20b189560bf140d8a43bd9fc51b2b12288688f80f76","observation_id":"ed2564a5-3ab1-49df-92ff-65cba3d0a769","resolution":{"observed_at":"2026-08-06T17:42:06.996999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.987077Z","title":"Emerick, and Marco Aur´ elio C","venue":null,"work_id":"c8f10bae-bd7d-4779-bdbb-3cd4c2b69151","year":2019},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.899474Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:5b924d22d44f00d18a6dcba8f67061ed8704152764c506cd6f785e086a295024","observation_id":"10b1f358-c442-4add-85ae-40f4341af7f6","resolution":{"observed_at":"2026-08-06T17:42:06.989539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.979116Z","title":"Geological realism in fluvial facies modelling with gan under variable depositional conditions","venue":null,"work_id":"45030303-54b4-4cba-a4bd-7427f789f3b7","year":2023},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.902425Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:bddfb65664dac2cb703d387da189e339ee7be626ed44ad96eb261810eb72c9a4","observation_id":"bcde64e6-1a39-4210-870b-84a043dfd20b","resolution":{"observed_at":"2026-08-06T17:42:06.981978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.971565Z","title":null,"venue":null,"work_id":"24526cd0-a07e-47d4-9669-0793e98e0a8b","year":2018},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.904921Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:91245bea8cbfcfb6f1232275a3e237e36072f5b1e6a301d0e138a16892b09575","observation_id":"f9ad1bf8-e808-4e49-bb4b-0f51b4185826","resolution":{"observed_at":"2026-08-06T17:42:06.974253Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.962051Z","title":"Wasserstein auto-encoders","venue":null,"work_id":"1d9921a7-1808-4dbe-a7af-7bf9027d39bb","year":2017},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.907625Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:67e1c33652b9fdb913ad0c8c000d69fe956b1600dd642be30b6e49b8afa68621","observation_id":"b464ff68-2c3b-4fe9-84f0-b499cb13ce92","resolution":{"observed_at":"2026-08-06T17:42:06.965213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.952872Z","title":"Lawrence","venue":null,"work_id":"94673ac5-ca7c-4a3f-9dfa-549124725627","year":2014},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.910151Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:adaf5b0fd58fb4e2f5f0cdfe6dcb3e873354d18421b1894f2196081d8540eb83","observation_id":"4fff279d-42fd-4bba-8e98-4246ef1b1a58","resolution":{"observed_at":"2026-08-06T17:42:06.956343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.944583Z","title":"Visualizing data using t-sne","venue":null,"work_id":"5ec7bef9-b771-458b-8bf2-857b6971eca8","year":2008},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.912662Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:6f1bc1c36a65aa879cde1435814dbb909e4a63e58d09b7a58100ebaad1ceb77b","observation_id":"fa4ece89-45c9-4a7d-8a78-f4a9fccf5992","resolution":{"observed_at":"2026-08-06T17:42:06.947177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T17:42:06.934259Z","title":"The choice of the loss function for solving the problem of history matching of the geological and simulation model: thesis for the degree of candidate of technical sciences: spec","venue":null,"work_id":"d75a1f6a-211c-4527-9a02-24e6254fa84a","year":2022},"citing_paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T17:42:06.915033Z"},"links":{"citing_paper":"/paper/2507.10201"},"observation_digest":"sha256:7e73117aaa5c2f567d2055da795ed3c79b4fc86c4fdee7b7e7a73b9cc554452b","observation_id":"e7fca3c0-ebfa-47ab-9ce3-627f50966148","resolution":{"observed_at":"2026-08-06T17:42:06.939220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.10201","last_updated":"2025-07-14T12:14:17Z","latest_version":1,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-06T17:34:43.566365Z","submitted_at":"2025-07-14T12:14:17Z","title":"History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":36},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.10201."}