{"as_of":"2026-08-08T09:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ab36f2ada3d1841702e1e51b1967341d88e34aa73ad315ecde384897fc1b7cc1","coverage":[{"denominator":66,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":66,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:05:53.470724Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.06001/citation-record","integrity":"/paper/2506.06001/integrity","json":"/paper/2506.06001/citation-record.json","paper":"/paper/2506.06001"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.193318Z","title":null,"venue":null,"work_id":"67fbe2ee-a025-4cd0-b98c-f2e0ac42a8ce","year":2011},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.278450Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:6b77ee22d49b8e897cf10ba1f6ba1cd5e90d5d7080e63f0950f10584df5b6836","observation_id":"2d8970c9-8d95-48c7-8f35-82ea9c5255e2","resolution":{"observed_at":"2026-08-07T06:05:54.196151Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.184549Z","title":null,"venue":null,"work_id":"903789d1-9f62-4509-b5f8-0dccff73675e","year":1998},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.282191Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:512fedad4469d80d82184f1be2853e8b99b66a155603076aaaf4cb93e3b33fc1","observation_id":"155615be-96b9-44c3-8954-49fb78902327","resolution":{"observed_at":"2026-08-07T06:05:54.187411Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.175956Z","title":"2012.Comprehensive nuclear materials","venue":null,"work_id":"3df5c230-50bf-4c68-b097-8a93430a3fd5","year":2012},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.289239Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:cfff10b260c978ea3062921ab7745324142f130d671741bea15b4b11f16d56e5","observation_id":"1a6b0301-4022-4a52-8a79-3d1760e62eca","resolution":{"observed_at":"2026-08-07T06:05:54.178616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.166002Z","title":null,"venue":null,"work_id":"5d4424fc-1146-4135-ab31-dfed19b371d4","year":2005},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.292512Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:8aec77968fa776ce024bfaf83916e314e752167cb9867034dc6c5d0a67fabdf5","observation_id":"37ac6ae4-e1af-45bf-89a2-a3c1d3e2a2b1","resolution":{"observed_at":"2026-08-07T06:05:54.169362Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.156959Z","title":null,"venue":null,"work_id":"3c8888b5-3284-4a7a-8f26-81ec4e912693","year":2012},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.295748Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:8599d1ac7af774744f5b8464106c7d429db846f5d4d64a43da95e033912bf6e1","observation_id":"f0f483f4-cc7a-4f06-88dc-19d0cd0af266","resolution":{"observed_at":"2026-08-07T06:05:54.159956Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.145855Z","title":"2023.Finite element analysis of composite materials using Abaqus®","venue":null,"work_id":"0aad404c-543a-4713-9eb5-5cd7820c6020","year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.299737Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:eb1b2daa5a2cfc7528f0fa508d364cf903b3fbef16acbb7cc7a1521e50abbbd9","observation_id":"b21063aa-0b01-455b-bdf4-9e21aa479ee7","resolution":{"observed_at":"2026-08-07T06:05:54.149269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.135352Z","title":"2006.Finite element procedures","venue":null,"work_id":"be2f15c5-bc21-49b1-bea8-5063505327f2","year":2006},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.303214Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:47ab66a7e249c36cc073564bc91a63f7a54e430fde4b8970f45faafe16354ced","observation_id":"c8176459-7c27-425b-a718-ca3c2c22e88c","resolution":{"observed_at":"2026-08-07T06:05:54.138561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.126331Z","title":null,"venue":null,"work_id":"9a89f29d-cef0-4697-9cf8-fe6aae58b449","year":1976},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.305942Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:0b6861f411a8aa1ca3294cddf522c8fca80c723b45d5fd8077e5cdedf154b8d1","observation_id":"a5b6a59a-420b-4a13-b20e-93095f84dfa7","resolution":{"observed_at":"2026-08-07T06:05:54.129402Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.01261","last_updated":"2018-10-17T17:51:36Z","snapshot_observed_at":"2026-07-06T06:42:54.610341Z","submitted_at":"2018-06-04T17:58:18Z","title":"Relational inductive biases, deep learning, and graph networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.01261","snapshot_observed_at":"2026-08-07T06:05:53.308811Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.308811Z"},"links":{"cited_paper":"/paper/1806.01261","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:d5043a718e528fd02715004bc56b78c92db19e6bf108f605299f1a034372d24a","observation_id":"cdf7ab20-13a2-4831-8dcc-75db64c307ca","resolution":{"observed_at":"2026-08-07T06:05:53.308811Z","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":"2026-08-07T06:05:54.115900Z","title":null,"venue":null,"work_id":"9d44e4cb-626a-4065-bd38-331a5d2ffad6","year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.312161Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:fed3c7314ee1abe56ae33de66f289bd033606bc6271fbc8242cc792bb58e4a0a","observation_id":"78b5701f-4fe7-4462-a014-e55c40607bdd","resolution":{"observed_at":"2026-08-07T06:05:54.119813Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.106289Z","title":"2009.Applied mechanics of solids","venue":null,"work_id":"9dafc094-1476-4b29-ab1d-fc672a3b0876","year":2009},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.315415Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:35e4283bf43c2c0476c570894ff1dc0992fb384e12c7b2f50b2aab55a8346236","observation_id":"aaf83023-453c-4b6a-aa21-5313e54b931b","resolution":{"observed_at":"2026-08-07T06:05:54.109194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.097185Z","title":null,"venue":null,"work_id":"c5e60462-87d2-4265-80e9-c37962b89a07","year":2012},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.318294Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:5daff9811138fed8f54da548b88e68ba5da2a780ef2a7e6a6c531bfd3435af67","observation_id":"e073a498-5178-436e-8cf8-a614d30eea38","resolution":{"observed_at":"2026-08-07T06:05:54.100101Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.321056Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.321056Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:852a31357b74b2ca4650099619e51238ad71f06a983c46f3f7a4710dc7fe944e","observation_id":"14714158-2327-4e5d-82e3-eec9b9d2781b","resolution":{"observed_at":"2026-08-07T06:05:53.321056Z","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":"2026-08-07T06:05:54.081980Z","title":null,"venue":null,"work_id":"2cfb4fa3-27c3-4212-b116-c5e85180925b","year":1995},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.323792Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:9df5a55d7fcdba41b0d131626268df92fda76f7a03ad481c463768c379f3dd9d","observation_id":"5a7d15a1-5ef8-45d6-8e28-68d385c7040d","resolution":{"observed_at":"2026-08-07T06:05:54.084899Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.073073Z","title":null,"venue":null,"work_id":"89679a62-9575-46ed-b2b7-b3c4f7270341","year":2000},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.326394Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:73e45e5c5145c5a5443b9a5dc034baf331749b40a837c303b2089b6b6b7af249","observation_id":"c78ea608-d83a-49a7-b63c-722947abdf4c","resolution":{"observed_at":"2026-08-07T06:05:54.075935Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.063403Z","title":"1977.Numerical analysis of spectral methods: theory and applications","venue":null,"work_id":"46bcc7ee-b93f-4988-9a9f-4f35d2685bb5","year":1977},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.329079Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:01f7a336b83c7dbafb278b06611a7049b847ce464712f42f8f933aa5490f04ba","observation_id":"10a6c7e7-6fd0-4d4e-b5c0-37cb698419fd","resolution":{"observed_at":"2026-08-07T06:05:54.066670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:54.053859Z","title":null,"venue":null,"work_id":"25d9820d-2c32-49a2-a111-1e3f6d252731","year":2016},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.331750Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:b36475483f8eb6c1128337e9120047a0837f0690d6b57b14535f7fcf4e8210bd","observation_id":"57d9a8e3-1cc5-4580-a222-1d917f8f5456","resolution":{"observed_at":"2026-08-07T06:05:54.056878Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.334326Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.334326Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:5d9a94b07d80d63af396b4fe76c4662303b5c32335246733b9678e0de8c4bb86","observation_id":"e1c5fac2-a99f-4286-94de-150fa59f6be0","resolution":{"observed_at":"2026-08-07T06:05:53.334326Z","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":"2026-08-07T06:05:54.037758Z","title":null,"venue":null,"work_id":"cc9a394a-398c-42bf-9784-fc8e7a8a826b","year":null},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.337373Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:7201ebb54b0fc1aae1973c9dd9f9652e7dc1b1bb46aa998b0ad05bfa94d54f3e","observation_id":"4bd2df4f-9bc6-454a-abbb-a1723e9e3b5e","resolution":{"observed_at":"2026-08-07T06:05:54.040894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.14376","last_updated":"2023-06-14T12:26:03Z","snapshot_observed_at":"2026-07-06T14:56:39.586555Z","submitted_at":"2023-02-28T07:58:49Z","title":"GNOT: A General Neural Operator Transformer for Operator Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.14376","snapshot_observed_at":"2026-08-07T06:05:53.343053Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.343053Z"},"links":{"cited_paper":"/paper/2302.14376","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:b6774b0dd2e8c467a411c8f90bcee29289086f9c1723e6b9791989867ce469e7","observation_id":"567bc6df-beab-4307-b063-7cde4bb7bbca","resolution":{"observed_at":"2026-08-07T06:05:53.343053Z","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":"2026-08-07T06:05:54.018882Z","title":null,"venue":null,"work_id":"c0e61c85-deed-4801-8e49-562959cd6c5b","year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.346144Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:a4a2293024aa19d16d1f98b61f144438c3baf30214310b1c380ce84d60341c5c","observation_id":"fe5485fc-7bd6-47fa-a272-7a046aacc6e0","resolution":{"observed_at":"2026-08-07T06:05:54.022313Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.349135Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.349135Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:0d343e10926fddc4cc761fd426a914a03d7a00204f40804acdd352d0274ad2d2","observation_id":"cde6a8bc-dcf6-45a9-89a0-6df8a5ee5f3e","resolution":{"observed_at":"2026-08-07T06:05:53.349135Z","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":"2026-08-07T06:05:54.002599Z","title":"2003.Solving nonlinear equations with Newton’s method","venue":null,"work_id":"6330fdb5-4513-433e-a2cb-f46d91675d69","year":2003},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.351939Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:93f2b72f18ff6847937d579e7095eb054b1c7547f70007c896cc002e62a8584c","observation_id":"53099c36-cf76-42b8-b403-9485c1b47d94","resolution":{"observed_at":"2026-08-07T06:05:54.006204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.992423Z","title":"2013.Introduction to finite element analysis using MATLAB® and abaqus","venue":null,"work_id":"4722470a-d595-4316-ab16-446be70a692d","year":2013},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.354889Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:32b0f9b05a7cdb6bdd6070657e7f9bc3bcd2ab56a88c6b56892b7d8e943b2494","observation_id":"121dd74c-726a-4302-83af-e371d65bf167","resolution":{"observed_at":"2026-08-07T06:05:53.995499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-07T06:05:53.357692Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.357692Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:2c830925ac6fbdbea4cafe0db84cf262f638ca226bee1a0bf1b7bf2b01e23337","observation_id":"46ca08ee-f699-4512-a551-6256e3f06c7b","resolution":{"observed_at":"2026-08-07T06:05:53.357692Z","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":"2026-08-07T06:05:53.361015Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.361015Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:592dfb046ccb53adafc2528e654445749699fd76e56aa45ebf5ae7671f8c07c8","observation_id":"cb41ff77-0fb4-4691-89b3-dd85044861f6","resolution":{"observed_at":"2026-08-07T06:05:53.361015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00120","last_updated":"2023-09-29T20:18:52Z","snapshot_observed_at":"2026-08-05T17:55:59.202191Z","submitted_at":"2023-09-29T20:18:52Z","title":"Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00120","snapshot_observed_at":"2026-08-07T06:05:53.363754Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.363754Z"},"links":{"cited_paper":"/paper/2310.00120","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:0bce9b5f29d95f513f91509102eb7f310093a1caacfd8a2626bc691690e5ee81","observation_id":"abe27c91-b736-4037-b4ba-bef5a6ec9027","resolution":{"observed_at":"2026-08-07T06:05:53.363754Z","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":"2026-08-07T06:05:53.977493Z","title":null,"venue":null,"work_id":"e1da6fbe-1c77-4993-8da3-8ba7723de340","year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.366847Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:cf42814e31e94ba3b7d966a6c913f2f4966df3b7a6517a2e1a96aa94f753dd36","observation_id":"a5a1d7ba-9c32-4cc3-a907-fde70dccdafc","resolution":{"observed_at":"2026-08-07T06:05:53.980549Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04967","last_updated":"2024-01-10T00:07:52Z","snapshot_observed_at":"2026-07-06T16:04:26.461227Z","submitted_at":"2023-08-09T14:08:01Z","title":"A pre-training deep learning method for simulating the large bending deformation of bilayer plates","version":2},"cited_work":{"arxiv_id":"2308.04967","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.04967","snapshot_observed_at":"2026-08-07T06:05:53.722754Z","title":"A pre-training deep learning method for simulating the large bending deformation of bilayer plates","venue":"math.NA","work_id":"74eb10a2-0904-48d1-ba8d-852c83491d52","year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.369683Z"},"links":{"cited_paper":"/paper/2308.04967","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:8e3836d54acd1b43ba2f1fec7b735cd1940f5591c9b8cd961b72527474b4e01f","observation_id":"0883e61d-65e8-423f-82d3-ef549f272cac","resolution":{"observed_at":"2026-08-07T06:05:53.726418Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.05209","last_updated":"2024-05-02T17:37:04Z","snapshot_observed_at":"2026-07-06T13:30:09.899970Z","submitted_at":"2022-07-11T21:55:47Z","title":"Fourier Neural Operator with Learned Deformations for PDEs on General Geometries","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.05209","snapshot_observed_at":"2026-08-07T06:05:53.372875Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.372875Z"},"links":{"cited_paper":"/paper/2207.05209","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:1011bf1c3bbbb737abd6e70ee2503b3f4f686a318d7dd60a257267509532f5ca","observation_id":"be9ba6c2-0d18-4d33-a054-3283d60e536c","resolution":{"observed_at":"2026-08-07T06:05:53.372875Z","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":"2026-08-07T06:05:53.375907Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.375907Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:efd7adc9ff180b1a94e8861f6a76b926945868953b7309ec91de11692079c9cb","observation_id":"6f3a0ab7-2965-452e-bf78-c68ee22a3991","resolution":{"observed_at":"2026-08-07T06:05:53.375907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-07T06:05:53.378844Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.378844Z"},"links":{"cited_paper":"/paper/2003.03485","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:a4a1855afbdf9e4adf61c8c138a83693f8ea22204ee8bbd217d3bca64c7b5f6a","observation_id":"765e4d3e-e229-4f8e-a033-57fb6a2baf7d","resolution":{"observed_at":"2026-08-07T06:05:53.378844Z","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":"2026-08-07T06:05:53.960881Z","title":null,"venue":null,"work_id":"3f489bcf-1066-4e13-ad29-fac924751a45","year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.382090Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:cda77d9dcdad2656b50e65a1f1b88b992a0877e510972168fcb1a7cc55b6f396","observation_id":"152e1f25-8ad0-4e7b-98d5-115d925af3c2","resolution":{"observed_at":"2026-08-07T06:05:53.964306Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13671","last_updated":"2023-04-27T21:01:23Z","snapshot_observed_at":"2026-07-06T13:14:29.961613Z","submitted_at":"2022-05-26T23:17:53Z","title":"Transformer for Partial Differential Equations' Operator Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.13671","snapshot_observed_at":"2026-08-07T06:05:53.385068Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.385068Z"},"links":{"cited_paper":"/paper/2205.13671","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:c23028c8f49497af22cda6a4a3eda4d57ef083a830154b35e479dd2e52a91467","observation_id":"d028e873-0e98-4473-bee1-5091cb8b77f2","resolution":{"observed_at":"2026-08-07T06:05:53.385068Z","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":"2026-08-07T06:05:53.387965Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.387965Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:6168fff0c48a731fbd01632185d54b57a6c68e3f0e2fe82d47ffc9dbb0bd4384","observation_id":"1ff490a8-6c46-42f1-84a5-79381d280215","resolution":{"observed_at":"2026-08-07T06:05:53.387965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15178","last_updated":"2025-02-07T13:53:41Z","snapshot_observed_at":"2026-07-06T19:55:42.238611Z","submitted_at":"2024-11-18T12:35:03Z","title":"Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries","version":3},"cited_work":{"arxiv_id":"2411.15178","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.15178","snapshot_observed_at":"2026-08-07T06:05:53.675825Z","title":"Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries","venue":"cs.LG","work_id":"97994c73-ebf8-4a84-acec-e80d640705aa","year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.390798Z"},"links":{"cited_paper":"/paper/2411.15178","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:e9e2cb4ff57772d46ffda379297c8f8a9fcef6ba0b7cef6ad52b610a35f86c6b","observation_id":"ee4122de-0413-4506-a7eb-08419cee3dc4","resolution":{"observed_at":"2026-08-07T06:05:53.681741Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.10890","last_updated":"2024-06-09T17:13:08Z","snapshot_observed_at":"2026-07-06T14:07:58.832663Z","submitted_at":"2022-10-19T21:09:29Z","title":"Mitigating spectral bias for the multiscale operator learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.10890","snapshot_observed_at":"2026-08-07T06:05:53.393437Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.393437Z"},"links":{"cited_paper":"/paper/2210.10890","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:ca7b7288c965844fccba13d4662518109151f000fa8de6adada7f86e7ca2f012","observation_id":"f359f30a-adcf-4c4c-86e5-5dca852102f4","resolution":{"observed_at":"2026-08-07T06:05:53.393437Z","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":"2026-08-07T06:05:53.396300Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.396300Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:53a683791f801c15b948f571a0228a14deffd444bb5f31f64d96bb4269cacc3a","observation_id":"9e42975c-79be-43ae-b2c6-dc40dba3fab8","resolution":{"observed_at":"2026-08-07T06:05:53.396300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.03193","last_updated":"2020-04-15T00:51:54Z","snapshot_observed_at":"2026-08-02T14:52:35.158411Z","submitted_at":"2019-10-08T03:21:14Z","title":"DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.03193","snapshot_observed_at":"2026-08-07T06:05:53.398887Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.398887Z"},"links":{"cited_paper":"/paper/1910.03193","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:1370b3004270180898c5a5768a2382bd0fc2a573306ae6b78662c02cbe6ed86d","observation_id":"966a611c-002b-4df1-ae5f-02d857061581","resolution":{"observed_at":"2026-08-07T06:05:53.398887Z","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":"2026-08-07T06:05:53.938619Z","title":null,"venue":null,"work_id":"98827365-b023-4320-9482-5c4e9162774c","year":2022},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.401720Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:bb2265b609c5302ade80e87513d3efc5cadfd120b1647cefa3a03bf240817878","observation_id":"10bc44e8-9400-4019-8502-2bf98951cc39","resolution":{"observed_at":"2026-08-07T06:05:53.941756Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.929692Z","title":null,"venue":null,"work_id":"b629f93f-df3b-4631-ac77-219923b5eebe","year":2012},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.404234Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:27d6a00029bbe031af63168b4d34cfb474f8bd6872e7fed54263bd3e95e03d02","observation_id":"02ebf6e0-8568-41de-ad14-1e91e6e083e0","resolution":{"observed_at":"2026-08-07T06:05:53.932411Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.920647Z","title":null,"venue":null,"work_id":"5e2d8dde-07c3-4591-96db-f99390ce40cd","year":null},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.407019Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:5d875afde6c9f05cacf46390909b6ee7e604b698a14e3a9af58f96b45b7eeeb4","observation_id":"0072157c-48d4-449a-98ee-73ddca2b3b12","resolution":{"observed_at":"2026-08-07T06:05:53.923861Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.911001Z","title":null,"venue":null,"work_id":"b4c240da-60f8-45a7-8640-0da5a6662e21","year":2021},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.412612Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:4ce1b97e0833dc71f0c35b52d05795013702740a82ccffb8aa94065449390905","observation_id":"3d156f40-0972-48d8-ac6d-2489ac5d907a","resolution":{"observed_at":"2026-08-07T06:05:53.914102Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.902084Z","title":null,"venue":null,"work_id":"7862e964-090d-4c87-a549-0224174ef061","year":1999},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.415153Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:b2c9502bbfaf50987ed71c8fb5f8138895df6a76eb16e7563ca4257a3088891e","observation_id":"4c4efd78-15b8-47b4-b80d-ee9fda1456fd","resolution":{"observed_at":"2026-08-07T06:05:53.905178Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.417918Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.417918Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:78362d631a74bc7f28791186894fb77d54f27b20d66d9c1d552fa489643f68fe","observation_id":"8cb8e0ac-7ba1-4764-ba9a-60dff4443bfc","resolution":{"observed_at":"2026-08-07T06:05:53.417918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.11127","last_updated":"2023-05-05T05:51:05Z","snapshot_observed_at":"2026-07-06T13:03:07.826337Z","submitted_at":"2022-04-23T19:18:44Z","title":"U-NO: U-shaped Neural Operators","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.11127","snapshot_observed_at":"2026-08-07T06:05:53.420684Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.420684Z"},"links":{"cited_paper":"/paper/2204.11127","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:3041f15a54f24c0d8943459ded08a34c2f63cb618d1ff02236e8170b281d083f","observation_id":"7a011266-34f1-4ecd-8b1c-a017955e961a","resolution":{"observed_at":"2026-08-07T06:05:53.420684Z","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":"2026-08-07T06:05:53.423393Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.423393Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:654dc170ae916f749981dab17c1036cd549cbc9002373ac173bd0c45621ffde7","observation_id":"87caf539-742e-408d-ad57-0d6258a49b1c","resolution":{"observed_at":"2026-08-07T06:05:53.423393Z","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":"2026-08-07T06:05:53.881183Z","title":"2019.Introduction to the finite element method","venue":null,"work_id":"c35281ec-3200-41da-af9e-2d0e9c4d6242","year":2019},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.426148Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:fb19daaecefe96cb1d3f657f837447c42e5a57f143a5a2711aa562984d27fcff","observation_id":"e4b9b135-06d1-45e7-bf64-9fc3fe928a53","resolution":{"observed_at":"2026-08-07T06:05:53.884203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.871790Z","title":"2020.Dynamics of multibody systems","venue":null,"work_id":"56e3a032-028c-4e5b-a9cf-48df6afdb590","year":2020},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.429016Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:feddd40581ba11e149a82eeca6267b7920c95a70fb70bb887545a6b85e058add","observation_id":"6ecc60ae-3e8f-4980-a2b5-e0c1e2260f2e","resolution":{"observed_at":"2026-08-07T06:05:53.874952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.13802","last_updated":"2023-03-02T12:40:23Z","snapshot_observed_at":"2026-07-06T12:12:39.412868Z","submitted_at":"2021-11-27T03:34:13Z","title":"Factorized Fourier Neural Operators","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.13802","snapshot_observed_at":"2026-08-07T06:05:53.431778Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.431778Z"},"links":{"cited_paper":"/paper/2111.13802","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:6745e325073761206ef7dc9ceab3b8f749a5b197e13cb7610b4c3249ee86313f","observation_id":"2a4d3695-2367-402d-b4f6-ef14d53a900b","resolution":{"observed_at":"2026-08-07T06:05:53.431778Z","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":"2026-08-07T06:05:53.434532Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.434532Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:86691ea797f7b3cb742d605259be1db0cdff92cc7a860df50f255d9170a26de5","observation_id":"c1242dd8-eba1-4af8-a827-94b179cc5eac","resolution":{"observed_at":"2026-08-07T06:05:53.434532Z","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":"2026-08-07T06:05:53.854866Z","title":null,"venue":null,"work_id":"cd29063b-58e7-4d5c-8a6a-3fa7cbe81351","year":2018},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.437130Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:340170c6c4e9dfb66ab4cf0877198dea7322de6a925532253608628d14f8efda","observation_id":"3399559b-d460-4b49-b747-7bce1e6842f5","resolution":{"observed_at":"2026-08-07T06:05:53.857841Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.846169Z","title":null,"venue":null,"work_id":"96ac9669-2ab0-4edb-9bb9-0d4f7d6baed9","year":1996},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.439755Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:0aa25af42ed1149e2c410bf5d88a924368fe882984564dc6071c49c9ddc94bfe","observation_id":"6e6af46f-4e42-408e-8e55-f10251e6cdde","resolution":{"observed_at":"2026-08-07T06:05:53.849036Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.837102Z","title":null,"venue":null,"work_id":"42ccfa61-5884-4b27-80a0-9cacb7baf20f","year":2022},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.442568Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:37d09e3bacfa5403dfe27473a0fa14bee692fce31170ab2746848ae0327e67b7","observation_id":"0f07202d-616a-4d16-8366-6ed03d73dd7e","resolution":{"observed_at":"2026-08-07T06:05:53.840166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.828100Z","title":"1995.Introduction to multigrid methods","venue":null,"work_id":"3555e707-d9fa-4177-b388-db46755f933f","year":1995},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.445552Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:a1dc5bfab43bd04acb831975dcb407652e18288110819775767725f6df4f3c8e","observation_id":"9c2cf69e-5ac3-492b-bb89-9c02295f3eba","resolution":{"observed_at":"2026-08-07T06:05:53.831148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.818062Z","title":"2006.Computational contact mechanics","venue":null,"work_id":"624b5fd7-1258-43a9-bd82-b428cad0b4fb","year":2006},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.448170Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:505dc8506862e402ea5dc1710e9b57b780f7e683c4a6cebf1b85f9ed03900768","observation_id":"2f6219f4-298a-45c0-afa9-5665acd7904c","resolution":{"observed_at":"2026-08-07T06:05:53.822007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12664","last_updated":"2023-05-29T16:30:47Z","snapshot_observed_at":"2026-07-06T14:45:55.345502Z","submitted_at":"2023-01-30T04:58:40Z","title":"Solving High-Dimensional PDEs with Latent Spectral Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12664","snapshot_observed_at":"2026-08-07T06:05:53.451093Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.451093Z"},"links":{"cited_paper":"/paper/2301.12664","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:14fda943d23a808befa319153e1de4cb368c04096720b6a4f2695f01b525f148","observation_id":"94bed344-257e-497a-b9d6-27f272dcd7d1","resolution":{"observed_at":"2026-08-07T06:05:53.451093Z","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":"2026-08-07T06:05:53.453932Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.453932Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:9501300947a354b14801796cf8fb5ab69af5cc9bfdf445d435c9ec5e16e71554","observation_id":"2a0c79c4-fd86-468f-bdce-b08436308abf","resolution":{"observed_at":"2026-08-07T06:05:53.453932Z","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":"2026-08-07T06:05:53.802723Z","title":null,"venue":null,"work_id":"6f8976a6-d7d5-4216-a830-89451bf11fdd","year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.460083Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:9fe8f73f2fe9c40114824378b2b1b5ad6afc3222e13ee9ae1c4b0b1e5af267cd","observation_id":"c16534a6-4052-40bc-9fde-0d62132696b7","resolution":{"observed_at":"2026-08-07T06:05:53.805663Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.793040Z","title":null,"venue":null,"work_id":"7d029637-fc10-4235-bbf3-9b1045d14ea1","year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.462724Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:2cfad5b36328a14249697a803c60f0a2e4333f3e2bcc38ff87cc14fd1d61fb0b","observation_id":"6707de2f-7fa1-4611-83d1-46964323525a","resolution":{"observed_at":"2026-08-07T06:05:53.796152Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.783720Z","title":null,"venue":null,"work_id":"f21a7691-086e-49f6-b8d9-3112f271f6d0","year":2021},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.465414Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:22a84be5752cf7e36191ea23957cff942920fb5b1d52b986dd9994c1fb83093f","observation_id":"f9a787f4-dfc9-4576-aa3c-57d25fb21477","resolution":{"observed_at":"2026-08-07T06:05:53.786773Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:05:53.773952Z","title":null,"venue":null,"work_id":"0f305c3c-9f91-4d13-b509-1f7c1c41225d","year":2018},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.468279Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:78729cd993479a1e4a45f1eb52e812a5edc2a8e72fe883b2d298e0930a705a79","observation_id":"906c0f02-e680-4fe1-b78d-ee8f7c39a6cb","resolution":{"observed_at":"2026-08-07T06:05:53.777083Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17527","last_updated":"2025-09-04T14:38:34Z","snapshot_observed_at":"2026-07-06T18:20:48.343830Z","submitted_at":"2024-05-27T15:34:35Z","title":"Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17527","snapshot_observed_at":"2026-08-07T06:05:53.470724Z","title":"s\" means start arc and","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.470724Z"},"links":{"cited_paper":"/paper/2405.17527","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:91eca6bc52721aeaf2ef56747412428d1eefe03180744f771f071662ddb0ad2e","observation_id":"6a7d57e2-311d-4444-aba6-572b32b5a1a6","resolution":{"observed_at":"2026-08-07T06:05:53.470724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.03499","last_updated":"2016-09-19T18:04:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-09-12T17:29:40Z","title":"WaveNet: A Generative Model for Raw Audio","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.03499","snapshot_observed_at":"2026-08-07T06:05:53.409892Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.409892Z"},"links":{"cited_paper":"/paper/1609.03499","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:359ba9efe016108861a396700b7b5d2a54116f488ccde1eada759bc1fdd7ac80","observation_id":"7e058eae-ffd4-4cd6-834b-0c33e83285d8","resolution":{"observed_at":"2026-08-07T06:05:53.409892Z","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":"2026-08-07T06:05:54.028523Z","title":null,"venue":null,"work_id":"83b06d2a-acbc-40dc-a68a-21b24e0b4a7f","year":2021},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.340232Z"},"links":{"citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:0009cbeede3f5620edadd0b5265b384939ab97be31fafe8453a5b17223f21198","observation_id":"030efc32-ed60-46fc-b4ee-b8155b42afa8","resolution":{"observed_at":"2026-08-07T06:05:54.031400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02366","last_updated":"2024-06-01T15:33:37Z","snapshot_observed_at":"2026-08-02T06:48:35.071514Z","submitted_at":"2024-02-04T06:37:38Z","title":"Transolver: A Fast Transformer Solver for PDEs on General Geometries","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02366","snapshot_observed_at":"2026-08-07T06:05:53.456697Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T06:05:53.456697Z"},"links":{"cited_paper":"/paper/2402.02366","citing_paper":"/paper/2506.06001"},"observation_digest":"sha256:4b7dd227bca6a116f7de26f5ef51709e99bf82243f91679c3dc48e8f9529f91e","observation_id":"1e862d0b-f3b0-4aae-8421-8250b83ab695","resolution":{"observed_at":"2026-08-07T06:05:53.456697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.06001","last_updated":"2025-06-06T11:47:37Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T07:05:45.016467Z","submitted_at":"2025-06-06T11:47:37Z","title":"LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids"},"reference_resolution":{"displayed":66,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":53,"verified_exact":2,"verified_fuzzy":11},"total_outbound_references":66},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2506.06001."}