{"as_of":"2026-08-09T13:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c4c5e08332c7a8fe4de57c8746ebf1f798cfcd51be5c3882bad5111ff3e38c52","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":61,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T13:51:43.320927Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":287,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-08T13:51:43.320927Z","title":"Batatia, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.07104","last_updated":"2025-03-03T10:36:32Z","snapshot_observed_at":"2026-08-09T06:40:40.707707Z","submitted_at":"2025-02-10T22:54:25Z","title":"Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-08T13:51:43.320927Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2502.07104"},"observation_digest":"sha256:6dbabed43f4be9e9c3e6e8391cc3bb012b032b4ca599916b4db3a3f8e6a98a18","observation_id":"4a48d2a2-71a0-4a4d-95e6-1f082e59bcc9","resolution":{"observed_at":"2026-08-08T13:51:43.320927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-08T11:30:49.351340Z","title":"Batatia , author D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.07907","last_updated":"2025-03-17T18:40:53Z","snapshot_observed_at":"2026-08-08T11:24:54.280179Z","submitted_at":"2025-02-11T19:27:33Z","title":"Iterative charge equilibration for fourth-generation high-dimensional neural network potentials","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T11:30:49.351340Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2502.07907"},"observation_digest":"sha256:848ee586aad678698d7e6b4ffeae1f1083d2d9b000fa3e33d1d4a982d5392073","observation_id":"9546551a-93ed-4e72-8a0f-19fa4e702f97","resolution":{"observed_at":"2026-08-08T11:30:49.351340Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-08T05:20:25.437243Z","title":"P., Simm, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08393","last_updated":"2025-02-12T13:33:58Z","snapshot_observed_at":"2026-08-08T21:45:03.987619Z","submitted_at":"2025-02-12T13:33:58Z","title":"Full-cycle device-scale simulations of memory materials with a tailored atomic-cluster-expansion potential","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T05:20:25.437243Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2502.08393"},"observation_digest":"sha256:ca1cc69b396d2234c5422211350393ce364b66495f6db8f860c2e860a9e24683","observation_id":"44481325-3a91-4302-826f-4a92b21c4f15","resolution":{"observed_at":"2026-08-08T05:20:25.437243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-07T19:56:13.109617Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.09970","last_updated":"2025-02-14T07:55:53Z","snapshot_observed_at":"2026-08-07T19:49:40.488405Z","submitted_at":"2025-02-14T07:55:53Z","title":"Universal Machine Learning Interatomic Potentials are Ready for Solid Ion Conductors","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T19:56:13.109617Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2502.09970"},"observation_digest":"sha256:63c7228921fbfec1a7f5e55dc7791229d0fec2f160d131f55c3083ab649b8dc2","observation_id":"54335129-ab51-4059-b618-a856bfc40a84","resolution":{"observed_at":"2026-08-07T19:56:13.109617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-07T13:13:22.736105Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22397","last_updated":"2025-08-15T12:34:47Z","snapshot_observed_at":"2026-08-09T10:17:36.683213Z","submitted_at":"2025-05-28T14:24:47Z","title":"Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:22.736105Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2505.22397"},"observation_digest":"sha256:77994942da5850470ee68a322c6e53a93d2eb3e38325428b4019cda1d14c64aa","observation_id":"d9d4f1ca-4a08-4f0d-94c2-abf016346084","resolution":{"observed_at":"2026-08-07T13:13:22.736105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-07T10:55:21.511203Z","title":"https://doi.org/10.48550/arXiv.2206.07697","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.04055","last_updated":"2025-06-04T15:19:26Z","snapshot_observed_at":"2026-08-09T09:51:03.784576Z","submitted_at":"2025-06-04T15:19:26Z","title":"chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:55:21.511203Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2506.04055"},"observation_digest":"sha256:7771960578e6f73232b0a362c6e7438754ba1c2f40f0a9c91ba7b4672d5ea2f6","observation_id":"0fa232d0-f315-4f56-8d28-b0d6f6e027a5","resolution":{"observed_at":"2026-08-07T10:55:21.511203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-07T11:07:08.757116Z","title":"(15) Batatia, I.; Batzner, S.; Kovács, D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06363","last_updated":"2025-06-03T21:11:56Z","snapshot_observed_at":"2026-08-09T02:14:54.116553Z","submitted_at":"2025-06-03T21:11:56Z","title":"ChemGraph: An Agentic Framework for Computational Chemistry Workflows","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T11:07:08.757116Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2506.06363"},"observation_digest":"sha256:61c43991a7c7f465d186a08b2bce9a8a0e26855ebf839efd807b9a7cef78a73f","observation_id":"6ae8b7e7-c87b-43ab-8153-e38491825fb6","resolution":{"observed_at":"2026-08-07T11:07:08.757116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-07T04:57:40.253749Z","title":"P.; Simm, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.09256","last_updated":"2025-06-10T21:34:26Z","snapshot_observed_at":"2026-08-07T09:30:39.564901Z","submitted_at":"2025-06-10T21:34:26Z","title":"Comparing classical and machine learning force fields for modeling deformation of solid sorbents relevant for direct air capture","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T04:57:40.253749Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2506.09256"},"observation_digest":"sha256:84cc19e993ce2f63aaa6fd54ff287cf5f99d2a71f0f4fac37872f8043e3ddcee","observation_id":"ba5771e2-8e20-4ebf-b5e3-47e78280af8c","resolution":{"observed_at":"2026-08-07T04:57:40.253749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-07T04:17:21.987291Z","title":"P., Simm, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10956","last_updated":"2025-06-12T17:55:48Z","snapshot_observed_at":"2026-08-09T09:12:17.937974Z","submitted_at":"2025-06-12T17:55:48Z","title":"Distillation of atomistic foundation models across architectures and chemical domains","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T04:17:21.987291Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2506.10956"},"observation_digest":"sha256:3d8035892d86bdd50d6a70d6a66f09f0b6e72774e50b13b51d954f7ab3e875c4","observation_id":"0b922a01-684f-469f-bcef-55fc7fb8091d","resolution":{"observed_at":"2026-08-07T04:17:21.987291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2506.20635","last_updated":"2026-03-13T19:24:22Z","snapshot_observed_at":"2026-07-06T21:47:34.444132Z","submitted_at":"2025-06-25T17:31:01Z","title":"Reducing Self-Interaction Error in Transition-Metal Oxides with Different Exact-Exchange Fractions for Energy and Density","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-19T07:42:30.266721Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2506.20635"},"observation_digest":"sha256:143a44ba40447fa125c7c6adfc57de373896c3a7153aef2e526be3032b2648d5","observation_id":"b6d10057-c465-4fbb-b437-de897915f5f9","resolution":{"observed_at":"2026-05-19T07:42:59.924574Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2507.06929","last_updated":"2026-05-20T11:43:28Z","snapshot_observed_at":"2026-08-06T10:02:36.050054Z","submitted_at":"2025-07-09T15:11:55Z","title":"Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-21T23:24:44.688855Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2507.06929"},"observation_digest":"sha256:53ee85c30ea2fc9a4c7b1618b314095fa4d9433aaa10e744869b0972cd2c89b2","observation_id":"66930914-0dfb-478e-87ee-9f5af4d5f0f4","resolution":{"observed_at":"2026-05-21T23:25:45.261233Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-06T17:07:38.062526Z","title":"P.; Simm, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11806","last_updated":"2025-07-16T00:00:55Z","snapshot_observed_at":"2026-08-06T16:58:54.937271Z","submitted_at":"2025-07-16T00:00:55Z","title":"MOFSimBench: Evaluating Universal Machine Learning Interatomic Potentials In Metal--Organic Framework Molecular Modeling","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-06T17:07:38.062526Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2507.11806"},"observation_digest":"sha256:0eb58a45989d0b6fb8cf7c0a751b953310f2f082006d035bcf81716bcd6257da","observation_id":"abd0d89d-9351-4f59-bbe8-3fb6511e8b2c","resolution":{"observed_at":"2026-08-06T17:07:38.062526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T17:59:34.369367Z","title":"Batatia , author D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15401","last_updated":"2025-08-21T09:43:26Z","snapshot_observed_at":"2026-08-05T17:59:24.949889Z","submitted_at":"2025-08-21T09:43:26Z","title":"Clay Edges Are Dynamic Proton-conducting Networks Modulated by Structure and pH","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T17:59:34.369367Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2508.15401"},"observation_digest":"sha256:a5318b433bfbb1de4e478aae8f27419fa6a4f774b120e1fb0351ac7b23799165","observation_id":"478f872b-d90e-4bc7-b39f-ba8e6cba228c","resolution":{"observed_at":"2026-08-05T17:59:34.369367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T17:53:48.986707Z","title":"Batatia, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.15614","last_updated":"2025-08-21T14:38:43Z","snapshot_observed_at":"2026-08-09T11:31:36.800228Z","submitted_at":"2025-08-21T14:38:43Z","title":"Universal Machine Learning Potential for Systems with Reduced Dimensionality","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T17:53:48.986707Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2508.15614"},"observation_digest":"sha256:b85e2bb7770426de9f5634d8db0881f32c8c31dd903dab3959c4302704b1d727","observation_id":"f70d0aa5-de02-48c4-af20-3c2899c613bf","resolution":{"observed_at":"2026-08-05T17:53:48.986707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T16:48:25.035057Z","title":"Batatia, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-09T12:03:53.608768Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.035057Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:1d573ed7f88c8aaf8917141c14a847325444c8ed06dfa9d23710478609f85eb8","observation_id":"eed59ce7-6692-4afb-b04b-bf0b96e04bb3","resolution":{"observed_at":"2026-08-05T16:48:25.035057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T05:52:52.865241Z","title":"P., Simm, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04875","last_updated":"2025-09-05T07:42:32Z","snapshot_observed_at":"2026-08-09T10:17:11.048315Z","submitted_at":"2025-09-05T07:42:32Z","title":"Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T05:52:52.865241Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2509.04875"},"observation_digest":"sha256:2b3c76d7446463212d6d0b0dc366c7496bb341c8a5c0a971d291b785cbc51051","observation_id":"5d6a1b31-76bc-406e-b018-004cc9a019fb","resolution":{"observed_at":"2026-08-05T05:52:52.865241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-04T23:16:05.778525Z","title":"P., Simm, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06719","last_updated":"2025-09-08T14:15:14Z","snapshot_observed_at":"2026-08-08T06:06:43.937829Z","submitted_at":"2025-09-08T14:15:14Z","title":"Towards Accurate and Scalable High-throughput MOF Adsorption Screening: Merging Classical Force Fields and Universal Machine Learned Interatomic Potentials","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T23:16:05.778525Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2509.06719"},"observation_digest":"sha256:14d125701045553536cc35a59414137fa7b6dc7e98087b801d0769194b90fee5","observation_id":"e7b8016d-adcc-4835-8543-6b2113f5060c","resolution":{"observed_at":"2026-08-04T23:16:05.778525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-04T15:57:14.775254Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17862","last_updated":"2026-06-08T22:01:46Z","snapshot_observed_at":"2026-08-04T15:57:14.223433Z","submitted_at":"2025-09-22T14:56:23Z","title":"Insights into CO dimerization at electrified Cu interfaces from large-scale machine learning simulations","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T15:57:14.775254Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2509.17862"},"observation_digest":"sha256:09b12df935b3e8936b5cabae81b1d2f5e4ab3e3579edf092a768f1702576492b","observation_id":"128d19bf-7d86-4622-a394-a8b91a2b8ba6","resolution":{"observed_at":"2026-08-04T15:57:14.775254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2510.03046","last_updated":"2026-04-08T14:57:20Z","snapshot_observed_at":"2026-07-06T22:31:40.462674Z","submitted_at":"2025-10-03T14:28:10Z","title":"Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-18T10:01:16.498310Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2510.03046"},"observation_digest":"sha256:e7dc95e5037095dfdd3902ce25e03b8a882c82ce3609b88cbf5b4c5549cd0ecc","observation_id":"1132a82f-ceb0-4140-8845-28f40384f910","resolution":{"observed_at":"2026-05-18T10:02:31.558400Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2510.05020","last_updated":"2026-04-09T07:24:46Z","snapshot_observed_at":"2026-07-06T22:31:49.574184Z","submitted_at":"2025-10-06T17:00:21Z","title":"Comparing fine-tuning strategies of MACE machine learning force field for modeling Li-ion diffusion in LiF for batteries","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T09:20:32.203345Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2510.05020"},"observation_digest":"sha256:6adb43bd3483e2b0dade907ecc5c016001fa0de0672f329e50b80958163e68f7","observation_id":"199222a0-c0c3-4755-88d8-1bdc003047f2","resolution":{"observed_at":"2026-05-18T09:21:09.842064Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-04T07:54:29.274141Z","title":"Batatia, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.24063","last_updated":"2026-01-16T02:41:15Z","snapshot_observed_at":"2026-08-04T07:54:26.359626Z","submitted_at":"2025-10-28T04:46:59Z","title":"Benchmarking foundation potentials against quantum chemistry methods for predicting molecular redox potentials","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T07:54:29.274141Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2510.24063"},"observation_digest":"sha256:760d7022cfea5331351c32c7157dcc0eed20f93c8ca6a14f7f9aa7367d562501","observation_id":"0216a9bc-4976-4c5c-9227-0ab98f456d5b","resolution":{"observed_at":"2026-08-04T07:54:29.274141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-03T11:46:14.483234Z","title":"P.; Simm, G","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05388","last_updated":"2026-03-25T03:35:49Z","snapshot_observed_at":"2026-08-08T02:44:14.630356Z","submitted_at":"2026-01-08T21:30:30Z","title":"Knowledge Distillation of a Protein Language Model Yields a Foundational Implicit Solvent Model","version":2},"reference_index":579,"source":"pdf_text","source_observed_at":"2026-08-03T11:46:14.483234Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2601.05388"},"observation_digest":"sha256:864752690e8611203d6685bebb8d89b9243a7eaf8df36b1ee7abedc0ebbe7a6e","observation_id":"4ea4aa5a-0300-4a5c-a881-53ca9eee083d","resolution":{"observed_at":"2026-08-03T11:46:14.483234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2602.00185","last_updated":"2026-04-07T02:44:26Z","snapshot_observed_at":"2026-07-06T22:43:50.689500Z","submitted_at":"2026-01-30T05:29:44Z","title":"QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-16T09:48:59.967850Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2602.00185"},"observation_digest":"sha256:8595ee42f4af3d109af72baa68ea3a9a4656c6cd4f90236e7a9b02f7f0025c9d","observation_id":"fe0f146d-e1bc-4a82-844a-10cb9151a526","resolution":{"observed_at":"2026-05-16T09:50:49.264023Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2604.03464","last_updated":"2026-04-10T18:35:41Z","snapshot_observed_at":"2026-08-01T20:32:58.600258Z","submitted_at":"2026-04-03T21:16:26Z","title":"Electron dynamics mediate the water-carbon {\\pi} bond","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-13T18:22:30.151283Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.03464"},"observation_digest":"sha256:5d8a576a8e5356b489397a40e395a33d00c63570e49f5c7538972aa126340ea7","observation_id":"5dd6a8ed-0902-40ec-b162-396285a245db","resolution":{"observed_at":"2026-05-13T18:23:05.794124Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2604.09084","last_updated":"2026-04-10T08:11:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-10T08:11:13Z","title":"Force Field-Agnostic Phase Classification of Zeolitic Imidazolate Framework Polymorphs","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-10T17:16:55.071013Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.09084"},"observation_digest":"sha256:7c6fa73e8b1510678d6b0cec6f9402777d2fdf478f97c3dfa596d78efbbd36a3","observation_id":"c5023a33-ca80-4dcb-bfd4-e4763ead2ec7","resolution":{"observed_at":"2026-05-11T07:10:58.189347Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2604.21069","last_updated":"2026-04-22T20:29:41Z","snapshot_observed_at":"2026-08-04T19:37:33.085021Z","submitted_at":"2026-04-22T20:29:41Z","title":"Accelerating point defect simulations using data-driven and machine learning approaches","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-09T23:29:55.933661Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.21069"},"observation_digest":"sha256:b8f03e5e70d1c28675333f59a7cd11313559582f2db71d7eccc6b2a7f309c50b","observation_id":"6732af87-d672-434d-9948-2337cd7af70e","resolution":{"observed_at":"2026-05-11T14:06:05.167427Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2604.21441","last_updated":"2026-04-23T08:58:07Z","snapshot_observed_at":"2026-07-06T23:08:01.670049Z","submitted_at":"2026-04-23T08:58:07Z","title":"Enabling Biomolecular Simulations with Neural Network Potentials in GROMACS","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T13:14:23.252670Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.21441"},"observation_digest":"sha256:6890ca52bddab3d742c5cc29d743dea5b7461c3182217e238032b4cdbcb4ae53","observation_id":"dae3c7e8-9511-491b-be4c-33a6ed6cfe91","resolution":{"observed_at":"2026-05-11T18:56:07.457705Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2604.21494","last_updated":"2026-04-23T09:54:53Z","snapshot_observed_at":"2026-08-03T13:08:42.437619Z","submitted_at":"2026-04-23T09:54:53Z","title":"Data-Driven Thermal and Mechanical Modeling of Defective Covalent Organic Frameworks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-09T20:54:13.668197Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.21494"},"observation_digest":"sha256:2bb8609b78dd4e73cf407fb1d2e9551ea8558c9f3af54c622f5cfe76302fcf80","observation_id":"48aa33e5-3648-40d5-95c9-fc71369941e1","resolution":{"observed_at":"2026-05-09T21:08:22.664312Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2604.22669","last_updated":"2026-07-25T07:12:12Z","snapshot_observed_at":"2026-08-02T15:39:22.391087Z","submitted_at":"2026-04-24T15:48:38Z","title":"DeepHartree: A Poisson-Coupled Neural Field for One-Shot Density Functional Theory","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T09:32:13.027552Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.22669"},"observation_digest":"sha256:f090bed88865eb623afd12135c6cb908387ee536958654f6a48b59125ce5d10e","observation_id":"cd4aab05-e017-4337-9800-3f568602271d","resolution":{"observed_at":"2026-05-11T20:21:09.137347Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2604.22669","last_updated":"2026-07-25T07:12:12Z","snapshot_observed_at":"2026-08-02T15:39:22.391087Z","submitted_at":"2026-04-24T15:48:38Z","title":"DeepHartree: A Poisson-Coupled Neural Field for One-Shot Density Functional Theory","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T02:53:24.209268Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.22669"},"observation_digest":"sha256:47a5cf07d65347b696f1ee4d36405638e4b1cdbdbe65763dcf157554b3008afd","observation_id":"0db19ba0-f42d-4cd8-977a-abd29c8255f5","resolution":{"observed_at":"2026-05-12T07:26:29.389431Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-02T15:39:39.073658Z","title":"Batatia, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2604.22669","last_updated":"2026-07-25T07:12:12Z","snapshot_observed_at":"2026-08-02T15:39:22.391087Z","submitted_at":"2026-04-24T15:48:38Z","title":"DeepHartree: A Poisson-Coupled Neural Field for One-Shot Density Functional Theory","version":4},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-02T15:39:39.073658Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.22669"},"observation_digest":"sha256:7ffb6353373544f884c444fb804dd2eaa0e7a8fa319dd243d4bca172239cfa74","observation_id":"98bb25a1-a3c3-4998-9513-66f90e41c21d","resolution":{"observed_at":"2026-08-02T15:39:39.073658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2604.27256","last_updated":"2026-04-29T23:02:21Z","snapshot_observed_at":"2026-07-06T23:12:43.284564Z","submitted_at":"2026-04-29T23:02:21Z","title":"Towards Accelerated SCF Workflows with Equivariant Density-Matrix Learning and Analytic Refinement","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-07T08:28:18.161638Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2604.27256"},"observation_digest":"sha256:a4ef10b1ac749e56ee15ea8913239a527e03a532fa5dcaa4af261164dd6b8004","observation_id":"65a786e7-d226-4475-93c1-40576ad39d94","resolution":{"observed_at":"2026-05-12T10:01:28.003360Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.03901","last_updated":"2026-05-05T15:55:21Z","snapshot_observed_at":"2026-07-06T23:16:44.876986Z","submitted_at":"2026-05-05T15:55:21Z","title":"Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-07T13:36:39.468709Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.03901"},"observation_digest":"sha256:f4268d28b4c5358ebdccaa354874b9acbcb9a3ecf85a9d2dde9ba64733b60498","observation_id":"e782f5d7-23f5-4673-aa6e-7dd161ecd01c","resolution":{"observed_at":"2026-05-12T08:51:25.211690Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.03964","last_updated":"2026-05-15T16:57:14Z","snapshot_observed_at":"2026-08-03T14:39:01.411009Z","submitted_at":"2026-05-05T16:48:23Z","title":"Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-07T16:10:51.630034Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.03964"},"observation_digest":"sha256:4810d0b49fc47c6c199e98a4eab915056368e6f72cf7b04fecbf3044e580d7e7","observation_id":"b238a24c-7e5e-4406-8da8-30bbe93863ff","resolution":{"observed_at":"2026-05-11T23:51:18.133697Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.03964","last_updated":"2026-05-15T16:57:14Z","snapshot_observed_at":"2026-08-03T14:39:01.411009Z","submitted_at":"2026-05-05T16:48:23Z","title":"Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-19T16:45:46.810947Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.03964"},"observation_digest":"sha256:f1a113b6072ec1147fdbb4cd4a832ab151aded3eb66b364fe3b7474da3f516fe","observation_id":"af8d043a-c79f-462d-986d-1670e8e66a3e","resolution":{"observed_at":"2026-05-19T16:47:40.275578Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.10458","last_updated":"2026-05-11T12:29:10Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T12:29:10Z","title":"QT-Net: Rethinking Evaluation of AI Models in Atomic Chemical Space","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-12T04:07:26.912351Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.10458"},"observation_digest":"sha256:ea351691427e63b9b2dfdaaf7b2ae91442dcfd329920f3ac6f03515898a0a51f","observation_id":"410d4c3a-38c5-4bbb-9755-3044ae078796","resolution":{"observed_at":"2026-05-12T06:36:27.545244Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.11610","last_updated":"2026-05-12T06:42:00Z","snapshot_observed_at":"2026-08-02T19:22:47.380556Z","submitted_at":"2026-05-12T06:42:00Z","title":"Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-13T01:41:43.141782Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.11610"},"observation_digest":"sha256:010bbd788a5bc66538ddc42fcf9611bcb2661324a16347e331ea5e9e8a44d0bc","observation_id":"fe8f73b5-78ed-4687-a8ca-3350c0fb58f5","resolution":{"observed_at":"2026-05-13T01:42:03.082057Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.13788","last_updated":"2026-05-15T16:53:38Z","snapshot_observed_at":"2026-08-02T05:09:13.977740Z","submitted_at":"2026-05-13T17:08:37Z","title":"Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-14T19:11:32.991952Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.13788"},"observation_digest":"sha256:113faa553c59806fab9234fb5f25d75388d3cb18dcd03caf0ebfecccc3ce8480","observation_id":"ba99bcaf-ae73-43cf-8bc4-5167e79f435e","resolution":{"observed_at":"2026-05-14T19:12:50.690618Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.13788","last_updated":"2026-05-15T16:53:38Z","snapshot_observed_at":"2026-08-02T05:09:13.977740Z","submitted_at":"2026-05-13T17:08:37Z","title":"Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-19T16:45:31.705747Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.13788"},"observation_digest":"sha256:c70ba8abf8a10fc6f6b468fb3674d681a4463c3d1f462e86bb51f0a7249ae873","observation_id":"710f5fe3-fb25-4c4e-905d-85a1c88eff28","resolution":{"observed_at":"2026-05-19T16:47:40.335385Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.15073","last_updated":"2026-05-14T16:59:00Z","snapshot_observed_at":"2026-08-02T08:36:38.061604Z","submitted_at":"2026-05-14T16:59:00Z","title":"Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-15T03:05:14.435776Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.15073"},"observation_digest":"sha256:788ee4c88830435a608d80164822a56a97d69a4a0ae581824c68fe04538de9f4","observation_id":"2850a0bc-af76-4f18-9e72-21b455b5b389","resolution":{"observed_at":"2026-05-15T03:09:43.891822Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.15332","last_updated":"2026-06-01T15:04:07Z","snapshot_observed_at":"2026-08-04T07:43:09.257687Z","submitted_at":"2026-05-14T18:55:55Z","title":"Disorder-driven symmetry suppression by van der Waals planar defects in a magnetic topological insulator","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-06-30T19:55:53.175588Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.15332"},"observation_digest":"sha256:ecd6ca1b03ae53fa8eeb28950a5cea609c6e7ba1996fa480a71b8c7ee03e71fb","observation_id":"9a116e5d-c384-440e-b00f-4b12050e2d8f","resolution":{"observed_at":"2026-07-01T14:45:50.772647Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.15630","last_updated":"2026-05-15T05:30:38Z","snapshot_observed_at":"2026-07-06T23:26:56.013191Z","submitted_at":"2026-05-15T05:30:38Z","title":"Reweighting free energy profiles between universal machine learning interatomic potentials for fast consensus building","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-19T19:48:49.976670Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.15630"},"observation_digest":"sha256:a182c2c1c4e367f77598c407c6721192e29106d1cb41b9295488dd35099f65cb","observation_id":"a375a8f1-8d92-4ff9-8d17-891b8c8406ad","resolution":{"observed_at":"2026-05-19T19:52:44.405344Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.20785","last_updated":"2026-05-20T06:29:29Z","snapshot_observed_at":"2026-08-04T02:44:32.459454Z","submitted_at":"2026-05-20T06:29:29Z","title":"Anisotropic Crystallization Kinetics and Interfacial Dynamics of Phase-Change Material Sb$_2$S$_3$ from Machine Learning Force Field Simulations","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-21T04:31:14.545133Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.20785"},"observation_digest":"sha256:029475172884ff2f798022247de9e632829139e47a9f3956fc21f315184d673f","observation_id":"67573bd5-bc53-4c3f-9cdd-949365d7aee8","resolution":{"observed_at":"2026-05-21T04:33:57.002418Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.22698","last_updated":"2026-05-21T16:40:40Z","snapshot_observed_at":"2026-07-06T23:32:59.663926Z","submitted_at":"2026-05-21T16:40:40Z","title":"Machine Learning Interatomic Potentials: Advancing Open-Source Software for Efficient and Scalable Molecular Simulation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-22T03:33:02.264346Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.22698"},"observation_digest":"sha256:21344f43949989f911e32810a595817740c1ef2c94719d7292d51a91bbfbd19f","observation_id":"5926e3fd-e0ef-420c-a278-034f1633622c","resolution":{"observed_at":"2026-05-22T03:34:34.268787Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2605.24073","last_updated":"2026-05-22T14:12:27Z","snapshot_observed_at":"2026-07-06T23:34:13.859813Z","submitted_at":"2026-05-22T14:12:27Z","title":"Multitask learning with semiempirical orbital charges enables sample-efficient MLIPs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T14:51:19.719415Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2605.24073"},"observation_digest":"sha256:389b1ad609bc51de29a6b1f4d789003c9d8a6b070d26651033f2326852081243","observation_id":"27f9e434-6c2d-411d-a65d-7390142ddb93","resolution":{"observed_at":"2026-06-30T14:54:45.460965Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.09480","last_updated":"2026-06-08T13:39:02Z","snapshot_observed_at":"2026-08-08T10:10:56.604613Z","submitted_at":"2026-06-08T13:39:02Z","title":"Loss-Guided Adaptive Scale Refinement for Molecular Force Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T16:56:45.195362Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.09480"},"observation_digest":"sha256:a6c48e290bf9a214cbd1cad5a034f5c3b79bd4330d60825601a411700b108346","observation_id":"bd3ebc2a-c907-43c6-b3ce-194dbce682eb","resolution":{"observed_at":"2026-07-03T00:57:30.042324Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.10349","last_updated":"2026-06-09T02:57:37Z","snapshot_observed_at":"2026-07-06T23:49:32.647742Z","submitted_at":"2026-06-09T02:57:37Z","title":"Magnetic HIP-NN for spin dynamics in disordered itinerant magnets","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T11:20:52.544289Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.10349"},"observation_digest":"sha256:b648ea65eb9d547b04f67db220669d9da05e2a3fb540301046077875befd0474","observation_id":"13ff02f3-f31c-40d7-a35a-52a64eab81d7","resolution":{"observed_at":"2026-07-03T07:57:45.182348Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.21311","last_updated":"2026-06-19T10:49:40Z","snapshot_observed_at":"2026-08-06T18:55:20.675712Z","submitted_at":"2026-06-19T10:49:40Z","title":"Property-Specific Molecular Representations via Feature-Space Transfer Compression","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T13:00:39.305861Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.21311"},"observation_digest":"sha256:4eb84a58f61923b0982c11e5ab0ac8d409d6460688319f7dec38252495af1a4a","observation_id":"dda715ed-4609-4f5f-a460-0e9a15553d36","resolution":{"observed_at":"2026-07-04T07:39:39.440970Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.23725","last_updated":"2026-06-29T15:04:15Z","snapshot_observed_at":"2026-07-06T23:58:25.400508Z","submitted_at":"2026-06-19T07:51:30Z","title":"Computational references are not experiments: pre-registered validation of machine-learned sodium-cathode voltages","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T13:57:44.290812Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.23725"},"observation_digest":"sha256:831f026d9fb7b1f60889d35e9825bd80d227abfcacbf82a49da0e12f8c739256","observation_id":"418d2566-9c4c-4edc-8b99-db77df5896dd","resolution":{"observed_at":"2026-07-04T06:59:38.100649Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.23725","last_updated":"2026-06-29T15:04:15Z","snapshot_observed_at":"2026-07-06T23:58:25.400508Z","submitted_at":"2026-06-19T07:51:30Z","title":"Computational references are not experiments: pre-registered validation of machine-learned sodium-cathode voltages","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T10:57:12.425357Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.23725"},"observation_digest":"sha256:dece30fb00e4ed59405c122f2892d16e2d05dadf1b6188389983509bb2cf9f51","observation_id":"b038e375-23eb-4003-948f-a4afdb658a2e","resolution":{"observed_at":"2026-06-30T11:04:37.820199Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.24922","last_updated":"2026-06-20T11:03:12Z","snapshot_observed_at":"2026-07-06T23:59:28.120338Z","submitted_at":"2026-06-20T11:03:12Z","title":"Constraint-Aware Quantum Optimization of Defect Configurations in Doped ZrO2: XY-Mixer QAOA and Grover Adaptive Search","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T11:58:29.787158Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.24922"},"observation_digest":"sha256:9ce350c0274219c749a5725509406d65db35e9be0e95c1dc035d540ecb93b9fc","observation_id":"e5fde15e-8744-4521-8bdb-9c3639a2e1ef","resolution":{"observed_at":"2026-07-04T08:19:43.800848Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.26834","last_updated":"2026-06-25T10:20:08Z","snapshot_observed_at":"2026-07-07T00:01:05.946912Z","submitted_at":"2026-06-25T10:20:08Z","title":"A Hybrid Quantum Mechanics Machine Learning Forcefield (QM/ML) Framework for Accurate Solute-Dislocation Interaction Simulations","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-06-26T03:35:13.595146Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.26834"},"observation_digest":"sha256:2ae7a3585bd6c845aeff314fedfab1266378ac1d48e9e98704fa8be385038914","observation_id":"917ad4f5-0931-4771-873f-4f6484435a83","resolution":{"observed_at":"2026-06-26T03:38:58.570918Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.27864","last_updated":"2026-06-29T08:45:30Z","snapshot_observed_at":"2026-08-01T05:39:17.476652Z","submitted_at":"2026-06-26T09:05:47Z","title":"A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\\mathrm{O}(2)$","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T04:37:29.865733Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.27864"},"observation_digest":"sha256:6c11dcd81e22dab436eb2502c558267c1ec43f257d721b23271fae7f03b7e522","observation_id":"31b3e04e-af30-4a9c-b27a-2d7c08ea0e73","resolution":{"observed_at":"2026-06-29T19:53:56.157729Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.27864","last_updated":"2026-06-29T08:45:30Z","snapshot_observed_at":"2026-08-01T05:39:17.476652Z","submitted_at":"2026-06-26T09:05:47Z","title":"A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\\mathrm{O}(2)$","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T09:59:55.032554Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.27864"},"observation_digest":"sha256:fd81fe3fff87b7445da72d1b3b72114fcc386b2849edb6f97f79a13d0d46a37f","observation_id":"30b7b9a0-4e88-45b0-a2f9-40a00d5efd5c","resolution":{"observed_at":"2026-06-30T10:04:36.118338Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":"2206.07697","doi":"10.48550/arxiv.2206.07697","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://arxiv.org/abs/ 2206.07697","venue":"arXiv (Cornell University)","work_id":"c256ce9a-079f-49e3-ac8e-5c51a3d9dcf6","year":2022},"citing_paper":{"arxiv_id":"2606.30870","last_updated":"2026-06-29T20:01:56Z","snapshot_observed_at":"2026-08-08T02:45:31.535230Z","submitted_at":"2026-06-29T20:01:56Z","title":"Adaptive fine-tuning of foundation models for crystal structure prediction: Discovery of high-pressure phases in the CaFeNi system","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-01T01:26:28.508834Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2606.30870"},"observation_digest":"sha256:0b2d9be01ecd2ee441d41cb3ba40774b9b2096c1524dc391d14f6beabc8cdccb","observation_id":"797f95c9-39b2-4836-9e59-9d41cc4ecd5b","resolution":{"observed_at":"2026-07-01T06:15:28.088254Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:04:41.708763+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-02T02:03:18.006449Z","title":"P., Simm, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.14486","last_updated":"2026-07-16T01:59:47Z","snapshot_observed_at":"2026-08-07T00:34:10.683426Z","submitted_at":"2026-07-16T01:59:47Z","title":"Full-data accuracy with fewer labels for training and fine-tuning machine-learning force fields","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T02:03:18.006449Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2607.14486"},"observation_digest":"sha256:d478481f0c306f69c7f1fd9ef63debe6e4db1b33f59980cd770864a2c75057ea","observation_id":"cea3f0dc-b3dc-4fa3-8af5-38aed56cf8b3","resolution":{"observed_at":"2026-08-02T02:03:18.006449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-02T00:14:17.866972Z","title":"Batatia, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15103","last_updated":"2026-07-16T15:15:11Z","snapshot_observed_at":"2026-08-08T22:58:42.568754Z","submitted_at":"2026-07-16T15:15:11Z","title":"A fast summation method for the DFT-D3 dispersion correction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T00:14:17.866972Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2607.15103"},"observation_digest":"sha256:890791327d6411c19a831ad026967df359952da83485aa5f3684b92265a07731","observation_id":"8dc61846-b946-429a-80b6-d50f02d74ad9","resolution":{"observed_at":"2026-08-02T00:14:17.866972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-08-01T11:16:29.600045Z","title":", author Kov \\'a cs, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.19977","last_updated":"2026-07-22T10:05:09Z","snapshot_observed_at":"2026-08-03T16:11:35.641796Z","submitted_at":"2026-07-22T10:05:09Z","title":"Rem3Di: Learning smooth, chiral 3D molecular descriptors from atomistic foundation models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T11:16:29.600045Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2607.19977"},"observation_digest":"sha256:d4ac31cd7941a77a88c5f89caa3d1007d7b1dd8cc36afc687b011c97c6f34c21","observation_id":"f1b79fd7-f8d1-469a-a40b-055c00526415","resolution":{"observed_at":"2026-08-01T11:16:29.600045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-07-31T04:03:29.689156Z","title":"Batatia, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.24997","last_updated":"2026-07-27T18:54:23Z","snapshot_observed_at":"2026-08-03T16:12:53.432054Z","submitted_at":"2026-07-27T18:54:23Z","title":"MANDALA: An E(3)-Equivariant Graph Neural Network Framework for Learning Electronic-Structure Operators with Observable Guidance","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-31T04:03:29.689156Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2607.24997"},"observation_digest":"sha256:e1321c374dd17a8db1cab5dba8ec47b161ce73e861045c9892fbcd7ab798c01a","observation_id":"95c03f3e-055f-4d4f-831a-a5089afbc5a6","resolution":{"observed_at":"2026-07-31T04:03:29.689156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-07-31T06:41:37.838837Z","title":"Batatia, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28461","last_updated":"2026-07-30T16:22:36Z","snapshot_observed_at":"2026-08-07T10:32:56.862676Z","submitted_at":"2026-07-30T16:22:36Z","title":"Fast and Accurate Foundation Models for Equivariant Machine-Learned Interatomic Potentials","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-31T06:41:37.838837Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2607.28461"},"observation_digest":"sha256:de3bc0cfd3b44c77389a24b528e1a8274a8126fccfdb484a4138b9c093438f0a","observation_id":"a066ffa6-a8ea-432d-9f73-f0ed371b9efe","resolution":{"observed_at":"2026-07-31T06:41:37.838837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07697","snapshot_observed_at":"2026-07-31T04:19:36.089465Z","title":"Batatia, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.28537","last_updated":"2026-07-30T17:04:56Z","snapshot_observed_at":"2026-08-06T05:31:13.463845Z","submitted_at":"2026-07-30T17:04:56Z","title":"Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-31T04:19:36.089465Z"},"links":{"cited_paper":"/paper/2206.07697","citing_paper":"/paper/2607.28537"},"observation_digest":"sha256:1e0181ee45d316f860501cb989b2eedb4f39a898214dc78ee1c20f1210a3a246","observation_id":"d7fe8f63-0d76-43f7-97c7-1f575cbed114","resolution":{"observed_at":"2026-07-31T04:19:36.089465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.07697/citation-record","integrity":"/paper/2206.07697/integrity","json":"/paper/2206.07697/citation-record.json","paper":"/paper/2206.07697"},"outbound":[],"paper":{"arxiv_id":"2206.07697","last_updated":"2023-01-26T10:07:20Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-07T06:56:25.158704Z","submitted_at":"2022-06-15T17:46:05Z","title":"MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 61 inbound Pith citation observations for arXiv:2206.07697."}