{"as_of":"2026-08-15T13:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3306590bedfc017e963361d6680a4cc711e68c57a2a7a2a13e3066a77caed5d0","coverage":[{"denominator":95,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":95,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:43.708341Z","state":"measured"},{"denominator":97,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":97,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-30T21:35:26.002162Z","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":"2026-07-02T19:47:18.919372Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"cited_work":{"arxiv_id":"2505.24717","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24717","snapshot_observed_at":"2026-07-02T19:47:18.919372Z","title":"Pde-transformer: Efficient and versatile transformers for physics simulations.arXiv preprint arXiv:2505.24717, 2025","venue":null,"work_id":"4163d754-0446-4dc7-baea-3ce6037e4f03","year":2025},"citing_paper":{"arxiv_id":"2607.00196","last_updated":"2026-06-30T21:20:37Z","snapshot_observed_at":"2026-07-07T00:05:54.401681Z","submitted_at":"2026-06-30T21:20:37Z","title":"TRIE: An Evaluation Framework for Stochastic PDE Surrogates","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-02T19:38:41.569416Z"},"links":{"cited_paper":"/paper/2505.24717","citing_paper":"/paper/2607.00196"},"observation_digest":"sha256:f6af6797ce57691e183fd2e8686c2b7fdb23a30ca829ed369541e6738b80108d","observation_id":"07ecbad9-087c-4bcf-82e2-4333f3ba2adc","resolution":{"observed_at":"2026-07-02T19:47:18.921193Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.24717","snapshot_observed_at":"2026-07-30T21:35:26.002162Z","title":"PDE-Transformer: Efficient and versatile transformers for physics simulations.arXiv preprint arXiv:2505.24717,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23466","last_updated":"2026-07-26T05:28:07Z","snapshot_observed_at":"2026-08-09T05:41:31.576413Z","submitted_at":"2026-07-26T05:28:07Z","title":"Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-30T21:35:26.002162Z"},"links":{"cited_paper":"/paper/2505.24717","citing_paper":"/paper/2607.23466"},"observation_digest":"sha256:dfff3420c15ce7de00bfbfdc4c8bdafc4159f81fc3bf22aae387c4e2327f978c","observation_id":"6fa27cef-2383-4fe9-ba41-82ddf40f3535","resolution":{"observed_at":"2026-07-30T21:35:26.002162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.24717/citation-record","integrity":"/paper/2505.24717/integrity","json":"/paper/2505.24717/citation-record.json","paper":"/paper/2505.24717"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:33.518635Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.518635Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:72cde1ba03dd09a397b32900e6f5da698810cf7d9c5a233dcb67447d4399e7b2","observation_id":"d271a5c1-e7b7-48e6-b7c4-e1c92fd3e98b","resolution":{"observed_at":"2026-08-07T12:35:33.518635Z","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":"2026-08-07T12:35:33.597861Z","title":"Convlora and adabn based domain adaptation via self-training","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.597861Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:3ceea98cd9529b6f17618b4a25d921e95a5b987e6a28baa8a69ec6b7bbd1b9f2","observation_id":"153dc77c-30ad-4bbc-9988-99517eb5cd13","resolution":{"observed_at":"2026-08-07T12:35:33.597861Z","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":"2026-08-07T12:35:33.695845Z","title":"C., Pletcher, R","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.695845Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:c3e65e9db536cabf5c85e3f9c68941089e0b69f2c390db1a9ad8af856e22802c","observation_id":"b2d1a814-b2ae-4d8b-ac80-43e50ae6d324","resolution":{"observed_at":"2026-08-07T12:35:33.695845Z","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":"2024.35062","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:45.765668Z","title":"M., Cholakkal, H., Shah, M., Yang, M.-H., and Khan, F","venue":null,"work_id":"95edd5a4-0de9-4368-a658-b5371e406c48","year":2025},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.785053Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:c77ca378bcae4eb6f41e0d977a018eb582e74fd5a71559a45f96e7dc2f2fad30","observation_id":"9f1331f2-ca23-441c-a9da-23f63635e712","resolution":{"observed_at":"2026-08-07T12:35:45.833985Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:33.863795Z","title":"All are worth words: A vit backbone for diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.863795Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:7eb83c9f0f41d7ef56789451a3c8f0f8b89cfe5e629e3fc07063b6dfa2aa089d","observation_id":"ff8bf419-5772-42d9-982e-90ae576db117","resolution":{"observed_at":"2026-08-07T12:35:33.863795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.05417","last_updated":"2019-04-10T20:01:48Z","snapshot_observed_at":"2026-08-14T16:48:24.564904Z","submitted_at":"2019-04-10T20:01:48Z","title":"Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.05417","snapshot_observed_at":"2026-08-07T12:35:33.936896Z","title":"and Sochen, N","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.936896Z"},"links":{"cited_paper":"/paper/1904.05417","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:e007f25fe226f7ca125d2d659fdc63581976f8e9dd7cd3febf2f33e84fe31a6e","observation_id":"d5b4c0e8-6bee-4986-b906-c22a4d54cfe3","resolution":{"observed_at":"2026-08-07T12:35:33.936896Z","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":"2026-08-07T12:35:34.006211Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.006211Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:60e5aade4b0d1ac88fc0f37d5eecc18d1358ea6782f2a7757c4c904d999287e8","observation_id":"58c88acb-50db-494f-8439-4cb33b0c2cab","resolution":{"observed_at":"2026-08-07T12:35:34.006211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13063","last_updated":"2024-11-21T20:14:58Z","snapshot_observed_at":"2026-08-14T11:07:15.764758Z","submitted_at":"2024-05-20T14:45:18Z","title":"A Foundation Model for the Earth System","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13063","snapshot_observed_at":"2026-08-07T12:35:34.087159Z","title":"P., Lucic, A., Stanley, M., Brandstetter, J., Garvan, P., Riechert, M., Weyn, J., Dong, H., Vaughan, A., et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.087159Z"},"links":{"cited_paper":"/paper/2405.13063","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:ac6a78efb118bc3b50b7ffdedb13c040d7742a215678223809c79284ba807edb","observation_id":"25c4860f-d8f8-4897-a365-2aa00ee244a3","resolution":{"observed_at":"2026-08-07T12:35:34.087159Z","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":"2026-08-07T12:35:34.199989Z","title":"D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.199989Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:cf621144cc14b1ef2c86446b84601cc5b6b4fd65dd2dc83ce88534c137dd89d9","observation_id":"a1401734-9525-4037-ae8f-468e883f8d28","resolution":{"observed_at":"2026-08-07T12:35:34.199989Z","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":"2026-08-07T12:35:34.318284Z","title":"Neural galerkin schemes with active learning for high-dimensional evolution equations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.318284Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:d71857dc57c78725fad2f2b347d5e08b85fe1580649784b5abab3005d3c66b2b","observation_id":"5aaa8f95-78cb-464b-9f44-24f908c50f5c","resolution":{"observed_at":"2026-08-07T12:35:34.318284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07148","last_updated":"2024-03-30T20:18:54Z","snapshot_observed_at":"2026-08-13T04:21:50.715668Z","submitted_at":"2024-02-11T10:23:34Z","title":"X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07148","snapshot_observed_at":"2026-08-07T12:35:34.409671Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.409671Z"},"links":{"cited_paper":"/paper/2402.07148","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:4eacf4062c9cf5a4b8dece5ef097593752c7cd6d6ea1ce6c6a430adcdc19ec0a","observation_id":"63f27543-0421-448e-8aa6-b767a0200fbf","resolution":{"observed_at":"2026-08-07T12:35:34.409671Z","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":"2026-08-07T12:35:34.499136Z","title":"J., Vasil, G","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.499136Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:8ce40cd10cb8534e13f01ff90ec9aa79b05766f5b4822cc0f68a22ba952fa2e4","observation_id":"4fa39850-0e66-4c88-9ab5-3145631f6b04","resolution":{"observed_at":"2026-08-07T12:35:34.499136Z","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":"2026-08-07T12:35:34.536417Z","title":"Choose a transformer: F ourier or G alerkin","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.536417Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:6b40c8e5d9b0000dd1dd13af5b37e9436c94edb43e1fcc8c063ed4207f4eaeec","observation_id":"b92be850-891c-40e8-9ce9-c8f057d27427","resolution":{"observed_at":"2026-08-07T12:35:34.536417Z","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":"2026-08-07T12:35:34.541145Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.541145Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:af4f8f7fc16f046c7feb4ab8763e37b960d3d78902238b0f73854e3a687f6f4e","observation_id":"de601560-593a-48fc-94fa-1fa8a97fe7d2","resolution":{"observed_at":"2026-08-07T12:35:34.541145Z","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":"2026-08-07T12:35:34.602332Z","title":"P., Caron, M., Geirhos, R., Alabdulmohsin, I., Jenatton, R., Beyer, L., Tschannen, M., Arnab, A., Wang, X., Ruiz, C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.602332Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:7e2ef6956511a7f2740fd16e893c4c88a308399bd32e50eb955d984cac82a0b8","observation_id":"6619a843-56e4-483c-aad4-24f0efd533f6","resolution":{"observed_at":"2026-08-07T12:35:34.602332Z","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":"2026-08-07T12:35:34.690763Z","title":"BERT: pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.690763Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:df3744970fd6b67625409b952cf8e5c4463e9a449a16782a84caf88d36ebcf97","observation_id":"9559df9d-6df0-4a25-b163-ac11b11c77bd","resolution":{"observed_at":"2026-08-07T12:35:34.690763Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-07T12:35:34.795354Z","title":"and Nichol, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.795354Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:b27ecf682c3b91b5cd54369f6cd92600ba45ba8b04bc4fb819b149a5e35537aa","observation_id":"809f7be8-e6a6-4335-82f9-1dceafc87b90","resolution":{"observed_at":"2026-08-07T12:35:34.795354Z","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":"2026-08-07T12:35:34.959674Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.959674Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:6839f20b32bc624c6716b27d2d81ede74a6a4994029ab55b7162d05d3638fa0d","observation_id":"53d1565a-aaec-41db-90f8-428dbeebe927","resolution":{"observed_at":"2026-08-07T12:35:34.959674Z","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":"2026-08-07T12:35:35.083187Z","title":"C., Zepeda-Nunez, L., Smith, J., Brenner, M., and Hoyer, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.083187Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:bd301ebb4a43230467a8dfd5b952cc4f59568162d5344220791d8b6e5119c41b","observation_id":"998fbd6a-ec76-4de1-a916-148bc8e5000a","resolution":{"observed_at":"2026-08-07T12:35:35.083187Z","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":"2026-08-07T12:35:35.258824Z","title":"Turbulence modeling in the age of data","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.258824Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:8bb37707ee73c81f8b8071328c16f2ae0d9001eb9316699eb5b12fbab7b52d2e","observation_id":"229f40f9-e6b4-4827-a8c1-e38251f820c7","resolution":{"observed_at":"2026-08-07T12:35:35.258824Z","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":"2026-08-07T12:35:35.409096Z","title":"Scaling rectified flow transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.409096Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:50414e9af8a560fe692abf84723ab9092dc8cb1f3f01dbbe3dbff8b1dffee3f6","observation_id":"cec9e948-43bf-45a9-8aa0-f4005cde566c","resolution":{"observed_at":"2026-08-07T12:35:35.409096Z","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":"2026-08-07T12:35:35.568154Z","title":"and The PyTorch Lightning team","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.568154Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:58ef15c9a8a3436d55f7af7def4024b340a5aff0ace3e9613f36c0bf5822a860","observation_id":"33b145cd-7be4-451c-af14-c6738c22ac52","resolution":{"observed_at":"2026-08-07T12:35:35.568154Z","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":"2026-08-07T12:35:35.831687Z","title":"and Zabaras, N","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.831687Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:3e34ee776ee1d4cca92eb752c89d6881cc062d5c18bf504894b8779c1c730e2f","observation_id":"e22e1246-12ef-4405-8ffe-8ab561b312f3","resolution":{"observed_at":"2026-08-07T12:35:35.831687Z","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":"2026-08-07T12:35:35.991750Z","title":"D., and Karniadakis, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.991750Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:5040dc06e661bc607dde5514efd28ab178196480c8af6141629a132ddf0f70ac","observation_id":"31e981e4-a4ca-4c91-a862-0b37d8affc6e","resolution":{"observed_at":"2026-08-07T12:35:35.991750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02677","last_updated":"2018-04-30T21:53:41Z","snapshot_observed_at":"2026-08-09T05:23:26.365677Z","submitted_at":"2017-06-08T16:51:53Z","title":"Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02677","snapshot_observed_at":"2026-08-07T12:35:36.205109Z","title":"B., Noordhuis, P., Wesolowski, L., Kyrola, A., Tulloch, A., Jia, Y., and He, K","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.205109Z"},"links":{"cited_paper":"/paper/1706.02677","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:4a0bf22f49f90db95b1292f7bc81af6271f6a04347b872dc7ed52b5933c56b24","observation_id":"3bc2f247-c16f-4a1a-8882-af7d236acaee","resolution":{"observed_at":"2026-08-07T12:35:36.205109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11302","last_updated":"2024-09-17T15:57:54Z","snapshot_observed_at":"2026-08-12T22:43:06.744664Z","submitted_at":"2024-09-17T15:57:54Z","title":"Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11302","snapshot_observed_at":"2026-08-07T12:35:36.350893Z","title":"Beyond lora: Exploring efficient fine-tuning techniques for time series foundational models, 2024 a","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.350893Z"},"links":{"cited_paper":"/paper/2409.11302","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:b62bb7f57c1f4e43d962607a6e413f51d61d222caeb679df9e8df87666f68703","observation_id":"385dc3fd-2528-44a0-bc17-9107ab870f8c","resolution":{"observed_at":"2026-08-07T12:35:36.350893Z","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":"2026-08-07T12:35:36.415086Z","title":"Low-rank adaptation of time series foundational models for out-of-domain modality forecasting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.415086Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:ac0f3ee64ac0009a9c1905a5652d3c6d50e0ccad13aa8e4ea28619a562e382d9","observation_id":"53c0d114-b4a7-4900-9d27-d1d7f1d4d9eb","resolution":{"observed_at":"2026-08-07T12:35:36.415086Z","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":"2026-08-07T12:35:36.557056Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.557056Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:81509ac5442f058139795e04c9e083a0eb5a62828185b125c84828987a89be24","observation_id":"b57c49a1-23f0-48a3-80bf-ea34e740bdcd","resolution":{"observed_at":"2026-08-07T12:35:36.557056Z","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":"2026-08-07T12:35:36.737206Z","title":"Poseidon: Efficient foundation models for pdes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.737206Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:0c91d60412e33cb4f8a9fe2106fa4c54b19eeb91cdfeb025277aa2dd3113b43a","observation_id":"0dda8e56-2d5d-4a46-8628-ba2831ba1e8a","resolution":{"observed_at":"2026-08-07T12:35:36.737206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.12180","last_updated":"2019-12-20T13:27:27Z","snapshot_observed_at":"2026-08-15T02:08:46.249033Z","submitted_at":"2019-12-20T13:27:27Z","title":"Axial Attention in Multidimensional Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.12180","snapshot_observed_at":"2026-08-07T12:35:36.862444Z","title":"Axial attention in multidimensional transformers","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.862444Z"},"links":{"cited_paper":"/paper/1912.12180","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:5ba68141dcdaff8f2b92a9892d8c3a1de6a0592a650c2f60afbf581d2769b269","observation_id":"57d02de5-6347-480b-99f7-841c56b96b69","resolution":{"observed_at":"2026-08-07T12:35:36.862444Z","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":"2026-08-07T12:35:36.957181Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.957181Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:36b13812c472540c9d8fcb4b5182703cf6290f5bd5d33a7a0cb925a6595e52ac","observation_id":"ae9756f2-48ab-48f2-ab4a-3f254c605246","resolution":{"observed_at":"2026-08-07T12:35:36.957181Z","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":"2026-08-07T12:35:52.514762Z","title":"J., Vegetti, S., and Thuerey, N","venue":null,"work_id":"3977393a-ae6c-45e6-8911-fc275637eede","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.055240Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:80199fbdaac30f262520cff23b75a767beda9a45c4e6279c4277a2d371b9a4db","observation_id":"63b70b54-44c9-499a-990c-76b327bd2673","resolution":{"observed_at":"2026-08-07T12:35:52.573845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:52.360901Z","title":"simple diffusion: End-to-end diffusion for high resolution images","venue":null,"work_id":"b3ea7759-a181-4344-afd7-b14081650077","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.173563Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:7a40244a0fc299b28e9ced01386e50778f7c8e3cb2c1812d54e30ab49d864a88","observation_id":"e91868e2-9b00-4ce2-9087-904a0eb208cb","resolution":{"observed_at":"2026-08-07T12:35:52.440365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:37.236395Z","title":"J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.236395Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:cdccb83bca1cda3f082d0631ce61340dd6b707d63428607ed0ee18f2b55cbde2","observation_id":"0cae0fba-502d-472d-b93e-cbf3be0af497","resolution":{"observed_at":"2026-08-07T12:35:37.236395Z","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":"2026-08-07T12:35:37.310689Z","title":"Cocogen: Physically consistent and conditioned score-based generative models for forward and inverse problems","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.310689Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:289431fb404937ff1f8739df7a31f2f6167ac264737ab753d54ae9f774c3b426","observation_id":"8aba040c-92f2-471f-a2b9-51901b1d7933","resolution":{"observed_at":"2026-08-07T12:35:37.310689Z","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":"2026-08-07T12:35:52.184064Z","title":"C., Thuerey, N., Kim, T., Gross, M., and Solenthaler, B","venue":null,"work_id":"c144e681-64d7-4727-83e9-3d59a7669edf","year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.411069Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:a0c25f39d45864147896c9b6dbca0bebbd26d99d35d25ce7e8c471796fb5425d","observation_id":"1d39feca-1be2-40c6-babc-fdceacca6271","resolution":{"observed_at":"2026-08-07T12:35:52.264271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:37.502118Z","title":"A., Alieva, A., Wang, Q., Brenner, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.502118Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:5c919e64851b26918de4d1d1b9af31f5e34228ebf68c6ac9103ed7e2b3f195b7","observation_id":"9d28c975-cb42-4958-a1fd-f56a0901b9e5","resolution":{"observed_at":"2026-08-07T12:35:37.502118Z","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":"2026-08-07T12:35:52.043906Z","title":"Apebench: A benchmark for autoregressive neural emulators of pdes","venue":null,"work_id":"07f431a4-8713-4976-ab4f-dd48b89b2d96","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.597456Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:cc9ab633a66192a7e0a1bed0cbc1313836433f3b18d21a531815a073eb535630","observation_id":"47f679d9-4a12-4504-af61-96401f1adcc0","resolution":{"observed_at":"2026-08-07T12:35:52.122155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01745","last_updated":"2024-12-11T14:40:46Z","snapshot_observed_at":"2026-08-13T10:20:37.676893Z","submitted_at":"2023-09-04T18:01:42Z","title":"Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01745","snapshot_observed_at":"2026-08-07T12:35:37.669192Z","title":"Benchmarking autoregressive conditional diffusion models for turbulent flow simulation, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.669192Z"},"links":{"cited_paper":"/paper/2309.01745","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:26f1d3194a9a83bd72bb9cd13e7e096cb994c5bb21daa731d75f650278772a54","observation_id":"f827f106-2f5b-4bf0-a81b-8fc63db6654f","resolution":{"observed_at":"2026-08-07T12:35:37.669192Z","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":"2026-08-07T12:35:37.755442Z","title":"J., Bonev, B., Azizzadenesheli, K., Berner, J., and Anandkumar, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.755442Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:1022245b65798e060e043588d51d185b49e90b0e96e442ab75e2fb9a77356cbd","observation_id":"9cc18a6d-b04f-427d-831d-3e74fd273172","resolution":{"observed_at":"2026-08-07T12:35:37.755442Z","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":"2026-08-07T12:35:51.840325Z","title":"B., Li, Z., Liu, B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A","venue":null,"work_id":"23c939c2-2462-4e8a-9604-a5592df8827f","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.872333Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:b17b1f3069bee3f2aa6dd08f2681db146a6701f9abafc8221fe805553986dd74","observation_id":"bfc91a47-2078-4044-ae47-eeebfef7d2ff","resolution":{"observed_at":"2026-08-07T12:35:51.920620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.03485","last_updated":"2020-03-07T01:56:20Z","snapshot_observed_at":"2026-08-03T02:26:02.483819Z","submitted_at":"2020-03-07T01:56:20Z","title":"Neural Operator: Graph Kernel Network for Partial Differential Equations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.03485","snapshot_observed_at":"2026-08-07T12:35:37.974875Z","title":"B., Azizzadenesheli, K., Liu, B., Bhattacharya, K., Stuart, A","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.974875Z"},"links":{"cited_paper":"/paper/2003.03485","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:3d4421e9fde81ca83d36ffaf03150b867dc464bcc8939ef2702a946b1ff74e56","observation_id":"e08c8fd0-140a-4d15-83b8-e8b15dd53546","resolution":{"observed_at":"2026-08-07T12:35:37.974875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.03794","last_updated":"2023-07-29T07:58:37Z","snapshot_observed_at":"2026-08-13T17:38:44.513228Z","submitted_at":"2021-11-06T03:41:34Z","title":"Physics-Informed Neural Operator for Learning Partial Differential Equations","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.03794","snapshot_observed_at":"2026-08-07T12:35:38.087349Z","title":"Physics-informed neural operator for learning partial differential equations","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.087349Z"},"links":{"cited_paper":"/paper/2111.03794","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:c403fa13c26db94832b702e3da6334ccf0fc0dcc24509a7e6b5d74c10bec3b1a","observation_id":"9a527c3e-342a-467d-9194-f9cc4fce56df","resolution":{"observed_at":"2026-08-07T12:35:38.087349Z","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":"2026-08-07T12:35:51.619952Z","title":null,"venue":null,"work_id":"a788583c-d8a4-4749-b6a2-0b8446feeeed","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.172251Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:7b2bc5816060668134e81781a0aab966f9c6a4a821b6fedf27b9bb8bad0815bc","observation_id":"1a1bc21f-2907-47a8-9785-737e51e3cdb4","resolution":{"observed_at":"2026-08-07T12:35:51.720394Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:51.345608Z","title":null,"venue":null,"work_id":"1aeeaa67-bcf3-4728-ba4e-737c0b79377e","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.271364Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:da02e0fc187a2afc687b042410ddd4035bc67b963a68a12aa8d408231b76023f","observation_id":"3c7ab63b-95a4-48ce-8664-118ce8e2b57d","resolution":{"observed_at":"2026-08-07T12:35:51.501596Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:38.362261Z","title":"Foundation models for time series analysis: A tutorial and survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.362261Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:6a8e7def2a296b13ead8cd2f12cc57309611edd06371764e039aea58a6e9058d","observation_id":"8abb34bc-a4b6-418a-a7f4-38369aa2a270","resolution":{"observed_at":"2026-08-07T12:35:38.362261Z","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":"2026-08-07T12:35:38.435349Z","title":"Tracking meets lora: Faster training, larger model, stronger performance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.435349Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:dbf1f5ec5ad77b04559b31e0c038cbe1251fefe90cd84ff08a2bc77d8779ea91","observation_id":"778d6723-887a-41e0-adc0-a64679ee92e6","resolution":{"observed_at":"2026-08-07T12:35:38.435349Z","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":"2026-08-07T12:35:51.077913Z","title":null,"venue":null,"work_id":"7b1f4323-8aef-47ef-a61d-3e7b45207aed","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.567914Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:311ead16e6203dbc2735df32bb78315c2012f3a8d7fbe3b538d859a29908283b","observation_id":"d96ce649-4714-4724-8828-c5d51760f9c3","resolution":{"observed_at":"2026-08-07T12:35:51.161281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:38.674936Z","title":"and Thuerey, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.674936Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:3fe8e18ee5129deb9b4524ecf3d87eb61c567fa9f8908fa343e3aaf99f8d1c01","observation_id":"99e3b058-a7c7-41e8-8210-9a66c7474e74","resolution":{"observed_at":"2026-08-07T12:35:38.674936Z","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":"2026-08-07T12:35:50.710460Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","venue":null,"work_id":"9932e590-7310-4364-84d9-583782a9be0f","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.754123Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:6470bf887d76a96b8c2612c449733b9e3a40934f7f633c1ceee0d2ff18c401e2","observation_id":"b33e0301-b029-4d0c-8591-07990401adbd","resolution":{"observed_at":"2026-08-07T12:35:50.928067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:38.842678Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.842678Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:132ab50281579c562d6615abcbd8cdfe417bbc74f0ef0326155708c97b8b24f4","observation_id":"9a09e62b-3cca-43b3-a73e-28b301516e78","resolution":{"observed_at":"2026-08-07T12:35:38.842678Z","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":"2026-08-07T12:35:50.403359Z","title":null,"venue":null,"work_id":"614705a4-449b-41b8-b37d-8df1417cb2db","year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.013664Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:15b1502d21155088064f15cffa4c585060aff71dcf0a5481d29480d0ac098d6f","observation_id":"3235eb35-5f7f-45ad-b03f-179fe671f3c7","resolution":{"observed_at":"2026-08-07T12:35:50.506755Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05556","last_updated":"2023-11-09T18:04:15Z","snapshot_observed_at":"2026-08-14T05:13:25.532749Z","submitted_at":"2023-11-09T18:04:15Z","title":"LCM-LoRA: A Universal Stable-Diffusion Acceleration Module","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.05556","snapshot_observed_at":"2026-08-07T12:35:39.086850Z","title":"Lcm-lora: A universal stable-diffusion acceleration module, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.086850Z"},"links":{"cited_paper":"/paper/2311.05556","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:9fe5d972cccc0caad4dbe1268e0609dc25e32ed009cca22220e1589e0eceb70a","observation_id":"7af2c5ef-bc69-419e-9d23-f656a0fd6c0f","resolution":{"observed_at":"2026-08-07T12:35:39.086850Z","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":"2026-08-07T12:35:39.166793Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.166793Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:722f3f4136a971e0dbe618d949237f1e097fa1c64a1bfd2f370a85cdb7723c0b","observation_id":"4bf0503a-93ae-4adf-b74b-5297d03749c9","resolution":{"observed_at":"2026-08-07T12:35:39.166793Z","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":"2026-08-07T12:35:50.352448Z","title":"A survey on lora of large language models","venue":null,"work_id":"912f5cbb-2bc9-4703-8548-fefd36156955","year":2025},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.241958Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:3b3e6ef3c7e76056911b22cab19ed0f22164b3f79a0e8e3a57f05f7b1c2622ac","observation_id":"24fada84-8664-4d30-ab3e-eafea7df8048","resolution":{"observed_at":"2026-08-07T12:35:50.394884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/app13095521","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Comparing vision transformers and convolutional neural networks for image classification: A literature review","venue":"Applied Sciences","work_id":"0369a215-3489-4961-8e9e-ed5ac4c830f9","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.319839Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:e4e39d2af78e8a5eddc113b38a072b4745b0ab4d23f725e5f63888ef6fde70bf","observation_id":"3b470f97-977b-4278-9d27-fdb3af211d66","resolution":{"observed_at":"2026-08-07T12:35:44.471522Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:50.165763Z","title":"R.-S., Parker, L., Ohana, R., Cranmer, M., Bietti, A., Eickenberg, M., Golkar, S., Krawezik, G., Lanusse, F., Pettee, M., Tesileanu, T., Cho, K., and Ho, S","venue":null,"work_id":"7ac5b019-643b-40d1-b56d-8e0897344471","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.416988Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:342fbba8c92303ac11a0acdcb29a945f8692d61bda4bf0559916ac33e6f8bad6","observation_id":"c89738da-4258-4ddd-990d-e86d0dd14f76","resolution":{"observed_at":"2026-08-07T12:35:50.249372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:50.010123Z","title":"T., Morel, R., Agocs, F","venue":null,"work_id":"0ec87704-c973-4f93-9658-2afb89086cd6","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.494932Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:f088f1a58aead3fce5e5751019d39cda83da1e865e7d7d21e65764eab00975d3","observation_id":"c564810b-e95d-43a6-9880-5af6c965df3a","resolution":{"observed_at":"2026-08-07T12:35:50.088216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1126/science.261.5118.189","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Science","work_id":"3286e2d0-4f89-4ea6-b26c-d50bbf58d397","year":1993},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.602163Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:2e07c2153483c34cbba1988321f79b0148dc50c714ab190c03e83e0ce8d91ea1","observation_id":"9360e817-7773-4d4b-9c90-736cf45c9330","resolution":{"observed_at":"2026-08-07T12:35:44.325140Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:39.686840Z","title":"and Xie, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.686840Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:43d7bf6865a520c749065eab6e0b0303330cb9b40a2d6587bfd750a8e67e2f9b","observation_id":"3db84a8b-0f1a-44dd-a14f-b27062f1c4d5","resolution":{"observed_at":"2026-08-07T12:35:39.686840Z","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":"2026-08-07T12:35:39.783027Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.783027Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:0ba238921498b499e2c198cbfaeace072812ff081b88a4f1dbbb3c8e1a0fc600","observation_id":"c81b2d80-522e-492d-8cf7-bf324101bf75","resolution":{"observed_at":"2026-08-07T12:35:39.783027Z","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":"2026-08-07T12:35:49.846461Z","title":"Improving language understanding by generative pre-training","venue":null,"work_id":"7c195d56-3fb4-4a7b-9c9e-0a78b2598595","year":2018},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.880067Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:708b87e6b39daeef86e7541c479de7c7a4233e01d2cf112f897d113deebf1104","observation_id":"6a7af89c-f6f1-4217-b143-cbf4d5638f48","resolution":{"observed_at":"2026-08-07T12:35:49.919387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:39.949425Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.949425Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:abd8c8a728d1fddec0d14c636a6fba8b07f68c4f371f25bc9cd3811c1519dca3","observation_id":"2ff6230e-6aa1-4609-836c-ed8b3a1f80bb","resolution":{"observed_at":"2026-08-07T12:35:39.949425Z","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":"2026-08-07T12:35:40.097227Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.097227Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:c02d91828634682c152e7642ea32eb05d32b426984fbc08684a7363f4129d739","observation_id":"ca4069e7-8b0b-49cf-9856-961624f5231f","resolution":{"observed_at":"2026-08-07T12:35:40.097227Z","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":"2026-08-07T12:35:49.340422Z","title":null,"venue":null,"work_id":"fc0f9557-7cb7-4c81-8beb-befa06c9eee3","year":2020},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.251727Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:5fa62998c7cf7e17496cb4d0a9b482245ac96bb3ac137635e203627941930c6a","observation_id":"d04694ed-3617-498c-8e93-611081bfe200","resolution":{"observed_at":"2026-08-07T12:35:49.575589Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:48.794880Z","title":"Comprehensive comparison between vision transformers and convolutional neural networks for face recognition tasks","venue":null,"work_id":"2c230109-9bd7-48a4-8709-cc48f4ad1a25","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.426070Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:85635d289b9254cada242e76abd65058a72e6a936422669078581d8d8ed10140","observation_id":"2cc23912-102e-4dc4-8622-1756febba598","resolution":{"observed_at":"2026-08-07T12:35:49.076876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:40.556716Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.556716Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:b9e972da758fd629b9b1ebf8ecb2367863def2c502491720049711f52bcd9b83","observation_id":"9c28bf87-c5d1-4a67-9c8d-5d1572e95cb6","resolution":{"observed_at":"2026-08-07T12:35:40.556716Z","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":"2026-08-07T12:35:40.744693Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.744693Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:c6f74cdeaa9edc6738dd93873d1c6bfcef0e9c2afa4c10b9250171f20825b80f","observation_id":"8c8bbc9d-5244-4f97-acac-01b2055a1fa3","resolution":{"observed_at":"2026-08-07T12:35:40.744693Z","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":"10.1017/jfm.2023.446","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"and MacArt, J","venue":"Journal of Fluid Mechanics","work_id":"4f6237c2-ab78-4d47-a2e2-60deca5fdcc0","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:40.930546Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:13274c076dba04705a22391cd428037b02503f8c57849c72f7068d3cfc1f0496","observation_id":"7fa6f8a1-d3ee-4eb7-a636-10a97e4362b1","resolution":{"observed_at":"2026-08-07T12:35:44.132507Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:48.494203Z","title":null,"venue":null,"work_id":"5ae58782-74c8-4422-bfa8-90e84d01b8ed","year":1985},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.083167Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:a28f06335221f1d3b6f0fdc73f5e9544500b21cb3d33f2b67a726a0a4d8b6c39","observation_id":"95f09c07-023b-4508-850f-fab89dd55ea8","resolution":{"observed_at":"2026-08-07T12:35:48.614233Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:48.286745Z","title":"S., Hsu, Y., Zhang, L., Hua, T., Kira, Z., Shen, Y., and Jin, H","venue":null,"work_id":"87b02d33-5c82-4073-89b3-5517cb1f0736","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.200573Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:7d3e7a8d6ba118f989d5998948c413e15bd52d63c37b62b09c8f68a318856639","observation_id":"b112a613-bb10-4be4-8c72-96868d9a8ba8","resolution":{"observed_at":"2026-08-07T12:35:48.348420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:47.911016Z","title":"W., and Gholami, A","venue":null,"work_id":"3afc80e2-e6a7-4df9-b6d5-5bdff3894cd4","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.297833Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:a4acab897b88954339a90577fc45e45057f4afb889920c9a3261748a765e7772","observation_id":"0189d148-e0a7-48f8-8fc2-4c56ac305ff0","resolution":{"observed_at":"2026-08-07T12:35:48.040487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:41.437758Z","title":"Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.437758Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:742fb2388717b4a8d06c28b6b7ffc71faff3f8ec6c6ff08e012b9c9b241692be","observation_id":"9ce936b8-4bea-4648-a92d-868bfbd74aa3","resolution":{"observed_at":"2026-08-07T12:35:41.437758Z","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":"2026-08-07T12:35:47.742481Z","title":"Comparison of vision transformers and convolutional neural networks in medical image analysis: a systematic review","venue":null,"work_id":"60cf04af-f46f-4fbd-a7ed-95ce0e411dcb","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.561243Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:4f0b70b754d3bc981586c600a523c21b9d700c4d75182e446fb55e0060f61830","observation_id":"8b89eb27-8074-415a-9ed2-8c84da8386b2","resolution":{"observed_at":"2026-08-07T12:35:47.829738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:47.569425Z","title":"Learning neural PDE solvers with parameter-guided channel attention","venue":null,"work_id":"17eda211-b65f-494e-a34d-190d17121861","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.690526Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:4d5349a7b8344cc821e0f6fd02c0051b1a52dc5ca96a83a8d2aee7b46ff53207","observation_id":"4468dd17-5113-4a7c-8355-449a6753aeaa","resolution":{"observed_at":"2026-08-07T12:35:47.643086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:47.377154Z","title":"Physics-based Deep Learning","venue":null,"work_id":"aaaec0af-b80f-4bdf-a946-605ac7fbca2a","year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.775517Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:3e035d4e7f916ebf5189d164b482d285b61422b4ad8283856af6a8dba366300b","observation_id":"21bceda4-1e8c-4b1e-b3ec-1e51a8c34ca7","resolution":{"observed_at":"2026-08-07T12:35:47.492072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:47.205475Z","title":"U-dits: Downsample tokens in u-shaped diffusion transformers","venue":null,"work_id":"2bdb32f2-f956-44be-9bec-2d5595a08b5e","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.896013Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:56aae4616208f58dc076bfbb8bb10be3de95fb491e215c7a5d181b5d7316782b","observation_id":"7ed7f4b0-fe9f-4d29-a602-92d17bb9b876","resolution":{"observed_at":"2026-08-07T12:35:47.275244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:47.033320Z","title":"R., Holl, P., and Thuerey, N","venue":null,"work_id":"53145177-7811-47c8-9555-f30fa68dd077","year":2020},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:41.992513Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:d5e3a2464c5391df1f701c26e2bbc57072127c594c59de0ec2af2b2f7f712e79","observation_id":"603f74ad-08a5-4eca-a1b9-8403095aab4b","resolution":{"observed_at":"2026-08-07T12:35:47.127551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:42.087656Z","title":"N., Kaiser, L., and Polosukhin, I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.087656Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:e0af881ca4051cb7e74ff11e92685928ef75eda2972a97212ad4f079bf0619c0","observation_id":"57f2d0ee-f401-41fb-b1f7-dc9f77b4037b","resolution":{"observed_at":"2026-08-07T12:35:42.087656Z","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":"2026-08-07T12:35:46.846773Z","title":"Mosaic flows: A transferable deep learning framework for solving pdes on unseen domains","venue":null,"work_id":"dc7c49cd-114a-445f-88f8-7c6bd6a2ac81","year":2022},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.182393Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:8d355892dd277cefa136a6ee9666a6bf5e4c4875a83a0c55935e41d033b2c0a5","observation_id":"b102e4da-88ff-4e24-bc3e-4e63a6012f0f","resolution":{"observed_at":"2026-08-07T12:35:46.947236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.04768","last_updated":"2020-06-14T08:15:54Z","snapshot_observed_at":"2026-07-06T09:27:03.809621Z","submitted_at":"2020-06-08T17:37:52Z","title":"Linformer: Self-Attention with Linear Complexity","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.04768","snapshot_observed_at":"2026-08-07T12:35:42.247080Z","title":"Z., Khabsa, M., Fang, H., and Ma, H","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.247080Z"},"links":{"cited_paper":"/paper/2006.04768","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:bc5e17b9d204726ab08b8e619dd55a29b5120649d32e5744f0d705896cf6fe28","observation_id":"5db3dbbd-5b05-46b1-9ca9-5c21db5e3382","resolution":{"observed_at":"2026-08-07T12:35:42.247080Z","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":"2026-08-07T12:35:42.339149Z","title":"Online-lora: Task-free online continual learning via low rank adaptation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.339149Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:f636c0dc36016031802f4e3dddf6abce84106fc63f1851735f5776947732acc4","observation_id":"c5465e84-8a0f-48c9-bdfa-a982c577c779","resolution":{"observed_at":"2026-08-07T12:35:42.339149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17601","last_updated":"2023-11-29T12:53:32Z","snapshot_observed_at":"2026-08-14T07:14:06.084884Z","submitted_at":"2023-11-29T12:53:32Z","title":"Continual Learning with Low Rank Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17601","snapshot_observed_at":"2026-08-07T12:35:42.491282Z","title":"T., Balles, L., and Zappella, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.491282Z"},"links":{"cited_paper":"/paper/2311.17601","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:7dd00954729e47447850e4cc71f839888574a1fc2f57d48417b0fdaf658bc422","observation_id":"93507b97-4a11-4ebd-9cd2-19d2bdd41577","resolution":{"observed_at":"2026-08-07T12:35:42.491282Z","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":"2026-08-07T12:35:46.709207Z","title":"Transolver: A fast transformer solver for pdes on general geometries","venue":null,"work_id":"8fe803d9-a280-48f7-818e-2dec7ac4aede","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.588114Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:fc76dd12cf8e351c34c8158e928dbb4f739bb0bffc0986dd0e2cede74af5ba75","observation_id":"2f62622e-b545-43d6-9ea8-0ef395cc5bea","resolution":{"observed_at":"2026-08-07T12:35:46.774889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:42.712069Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.712069Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:e417041d5916487ece5aeccfdbcd27f015ee7f34b3c664af6dd0099760677e60","observation_id":"d901f922-b800-4221-b56a-f4fa5ddbf6c4","resolution":{"observed_at":"2026-08-07T12:35:42.712069Z","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":"2026-08-07T12:35:46.526459Z","title":"Transfer learning enhanced deeponet for long-time prediction of evolution equations","venue":null,"work_id":"ec24da92-635d-4823-b54a-68ec0a613e2d","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.846446Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:bf18ebb3d4f3560c35323408f4f3a9d950a3e2a45d37d2dbc03df795e9b04b6e","observation_id":"2d2f93d8-66fa-4e73-8024-6e8cff9a519b","resolution":{"observed_at":"2026-08-07T12:35:46.615875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.2310142120","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Proceedings of the National Academy of Sciences","work_id":"fedaa28f-c2b8-4c56-b64b-392ad39a9047","year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:42.932321Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:12f2e72cdd09d349f07c90567e48a3177cd580c0cd3b2b5e735edf677572594f","observation_id":"4fab2a57-58fe-4d16-ab60-5989a6967676","resolution":{"observed_at":"2026-08-07T12:35:43.879870Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:43.032044Z","title":"Low-rank adaptation for foundation models: A comprehensive review, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:43.032044Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:ed19f417596bf38e3b938e04dda1cac668cd9b44d41d0565ce26d8d93d307886","observation_id":"8344f32b-301e-4f38-bbc2-32c7b989ed41","resolution":{"observed_at":"2026-08-07T12:35:43.032044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04129","last_updated":"2023-03-07T18:44:07Z","snapshot_observed_at":"2026-08-14T16:29:34.912567Z","submitted_at":"2023-03-07T18:44:07Z","title":"Foundation Models for Decision Making: Problems, Methods, and Opportunities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.04129","snapshot_observed_at":"2026-08-07T12:35:43.148867Z","title":"Foundation models for decision making: Problems, methods, and opportunities, 2023 b","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:43.148867Z"},"links":{"cited_paper":"/paper/2303.04129","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:cdaa4fd0aee2bf9af12085df520229bfae3864213d6beedc6148256e7b9b6a98","observation_id":"c3cd9246-9068-4d15-94b0-811c1f89e145","resolution":{"observed_at":"2026-08-07T12:35:43.148867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.11432","last_updated":"2021-11-22T18:59:55Z","snapshot_observed_at":"2026-07-06T12:11:02.119174Z","submitted_at":"2021-11-22T18:59:55Z","title":"Florence: A New Foundation Model for Computer Vision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.11432","snapshot_observed_at":"2026-08-07T12:35:43.244746Z","title":"Florence: A new foundation model for computer vision, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:43.244746Z"},"links":{"cited_paper":"/paper/2111.11432","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:0a36951214e59046270d1061f5c1288cb6f7a1c63a30e43a0de9dc08406d6714","observation_id":"1606efa4-75a5-44fe-b35e-5ae89058e0f6","resolution":{"observed_at":"2026-08-07T12:35:43.244746Z","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":"2026-08-07T12:35:46.340582Z","title":"Parameter-efficient fine-tuning on large protein language models improves signal peptide prediction","venue":null,"work_id":"cbfe6337-a4f2-40e7-8434-ec6af4807b73","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:43.359788Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:57ec9e6a834761c9a2bdd95c6d7ef80af874e1d8f04f406e7c79fb3c65756be2","observation_id":"4e7ac508-0c0b-477f-9ae3-bf28d6bb136f","resolution":{"observed_at":"2026-08-07T12:35:46.431570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:46.171708Z","title":"and Lee, K","venue":null,"work_id":"18f3c27c-11ed-453b-afa1-8d33e422c3af","year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:43.433039Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:7875c0a4eeb10fba7424cd41fd11f38b52712723832e139a9632cfdebbb3c851","observation_id":"f3ae5744-bc64-47d4-aa87-d2d83c359914","resolution":{"observed_at":"2026-08-07T12:35:46.249440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:35:45.989697Z","title":"and Sennrich, R","venue":null,"work_id":"fec5b9bd-acf5-4446-ae58-835b9b7fe020","year":2019},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:43.517951Z"},"links":{"citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:e9589f40f75660bd9ff6d24f25e9f4854e3dd3d65f62554e450e72d33b6417a8","observation_id":"e2026fb0-7c66-404d-8af6-65cb288ee770","resolution":{"observed_at":"2026-08-07T12:35:46.064077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20601","last_updated":"2024-12-29T22:13:16Z","snapshot_observed_at":"2026-08-13T22:51:16.584754Z","submitted_at":"2024-12-29T22:13:16Z","title":"MATEY: multiscale adaptive foundation models for spatiotemporal physical systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20601","snapshot_observed_at":"2026-08-07T12:35:43.587308Z","title":"P., Norman, M., Stefanski, D., and Gounley, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:43.587308Z"},"links":{"cited_paper":"/paper/2412.20601","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:75d64dc7505d7108971171f15ec75570a4b90f1f915732b45718c17195fa756c","observation_id":"5a3247fb-189f-481a-a9e3-e91587e7df9d","resolution":{"observed_at":"2026-08-07T12:35:43.587308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10200","last_updated":"2025-06-20T20:43:04Z","snapshot_observed_at":"2026-08-12T22:24:04.615999Z","submitted_at":"2024-10-14T06:36:41Z","title":"Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10200","snapshot_observed_at":"2026-08-07T12:35:43.708341Z","title":"Fed-piLot : Optimizing lora assignment for efficient federated foundation model fine-tuning, 2024 b","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:43.708341Z"},"links":{"cited_paper":"/paper/2410.10200","citing_paper":"/paper/2505.24717"},"observation_digest":"sha256:e51a5c85c42f7ab25bd9bdd70447e6eea5d44e26b4f6a756f0b4f8712e1ed6de","observation_id":"04db0873-97dd-41f0-9b1a-4077e84b95c1","resolution":{"observed_at":"2026-08-07T12:35:43.708341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.24717","last_updated":"2025-05-30T15:39:54Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T22:51:10.734838Z","submitted_at":"2025-05-30T15:39:54Z","title":"PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations"},"reference_resolution":{"displayed":95,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":65,"verified_exact":4,"verified_fuzzy":24},"total_outbound_references":95},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 2 inbound Pith citation observations for arXiv:2505.24717."}