{"as_of":"2026-08-21T17:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ccc8443c30e5333b0d66f3c77f4c71d9990f13e82a10e8dba5d1a533690abe4f","coverage":[{"denominator":72,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":72,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T18:03:56.804916Z","state":"measured"},{"denominator":73,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":73,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-14T18:10:08.455087Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T18:12:33.266000Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"cited_work":{"arxiv_id":"2509.10293","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.10293","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wa n g et al., OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","venue":null,"work_id":"9b508c4b-7e2f-48dc-83e0-24ab521b4969","year":2025},"citing_paper":{"arxiv_id":"2605.13594","last_updated":"2026-05-13T14:30:14Z","snapshot_observed_at":"2026-08-17T21:06:19.666668Z","submitted_at":"2026-05-13T14:30:14Z","title":"Assessing foundational atomistic models for iron alloys under Earth's core conditions","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-14T18:10:08.455087Z"},"links":{"cited_paper":"/paper/2509.10293","citing_paper":"/paper/2605.13594"},"observation_digest":"sha256:c34951102694eefdb4cf200b07bb3011f60fd8dd0a616241ab7fa8a02de79bac","observation_id":"34f5b219-b5a9-45a9-b25d-d6471dd36420","resolution":{"observed_at":"2026-05-14T18:12:33.269180Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.10293/citation-record","integrity":"/paper/2509.10293/integrity","json":"/paper/2509.10293/citation-record.json","paper":"/paper/2509.10293"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.004743Z","title":"Zhang, Y","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.004743Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:a4f586132866843af237573cacbfdcfd7823db716146ce056f035fe90f15ff4d","observation_id":"7a1986b4-6e8b-4096-9958-b65c25f0133b","resolution":{"observed_at":"2026-08-04T18:03:45.004743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.054754Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.054754Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:4b06458adabb9c0c5f58ae79a9b424a288ca18e28595eccbfcae627108c5eafb","observation_id":"1b521b05-80c0-4e0f-b467-5844818adefd","resolution":{"observed_at":"2026-08-04T18:03:45.054754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.204745Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.204745Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:9d2f1ffd10d08449b91e2aa6c1c0b96764b537566ed6877159fb201e49437735","observation_id":"dda5889d-4073-4d46-8dfd-a91dd0fe881a","resolution":{"observed_at":"2026-08-04T18:03:45.204745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.294733Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.294733Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:38dfe8e9c591b002f257a9e6cbbb1d8e7fb3708d4f0cd07d4732a03573837386","observation_id":"f8f1aa33-412a-4614-9202-7ccb8bc4340d","resolution":{"observed_at":"2026-08-04T18:03:45.294733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.404729Z","title":"Huang, D","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.404729Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:747a5dac72d0d5590d40f8d1400ab08e28141f9df8e7dbc78e71e13e65b1a514","observation_id":"b188b1ab-f221-4fc2-af90-33331891b706","resolution":{"observed_at":"2026-08-04T18:03:45.404729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.574754Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.574754Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:88b003f0aed7df717fa63f27694fdcefbefb67932d82b519c9dfcac7f10c6b76","observation_id":"ff879dd1-7b49-405b-9bc5-706c23ba2d94","resolution":{"observed_at":"2026-08-04T18:03:45.574754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.684750Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.684750Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:9885c66a494095eabe3edb571b63c509a911f51a2df64002b99e0111a9e5fea2","observation_id":"893d6e77-4eb9-417f-bb1e-8d930343a0bb","resolution":{"observed_at":"2026-08-04T18:03:45.684750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.805114Z","title":"Drozdov, P","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.805114Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:ea3032909fa80ad86dc949f5f64e0324841decc0eec845d32e062c2932fa3921","observation_id":"51c9ad70-cb91-46bb-8df9-80267873c661","resolution":{"observed_at":"2026-08-04T18:03:45.805114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:45.944742Z","title":"Somayazulu, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:45.944742Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:e135f1917c6ccbdccc825eed4938a4ab03e1fd093949226498039da5a7d7ecd4","observation_id":"e85272e7-af75-4b1c-a777-6f806fc45890","resolution":{"observed_at":"2026-08-04T18:03:45.944742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:46.055227Z","title":"Jayaraman, Diamond anvil cell and high-pressure physical investigations, Reviews of Modern Physics 55, 65 (1983)","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:46.055227Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:5757ac1c7b715e9b3088b6dee2baf5ac430893c8ccc506668c94057f64db23af","observation_id":"38262b4d-180a-4925-8b4d-20464023b546","resolution":{"observed_at":"2026-08-04T18:03:46.055227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:46.155630Z","title":"Dubrovinskaia, L","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:46.155630Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:f2e781fcc765b577d8fc4633e92f80c57296b653b36c662f5fdf52add1aac1fe","observation_id":"a5dfbc99-c785-45b1-9440-9c576ee6ed96","resolution":{"observed_at":"2026-08-04T18:03:46.155630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:46.284897Z","title":"Jeanloz, P","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:46.284897Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:b8df8fcc5882919f997441832155653989c719aa88b1f4edf2f02378e05adec8","observation_id":"85d2cb27-fb47-470b-87a4-1d56d30c2220","resolution":{"observed_at":"2026-08-04T18:03:46.284897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:46.454752Z","title":"Wang and Y","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:46.454752Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:9e7837008390f2c0753e75e678c0f6ea66b258cd17c90b16672d80951a437dec","observation_id":"becef2fa-7b4b-4650-b3b8-36df30a8894a","resolution":{"observed_at":"2026-08-04T18:03:46.454752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:46.642534Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:46.642534Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:359624a854cc4e3df6bcc098bcb96efa766abdd726a27d3bd9acace168e23b96","observation_id":"7be532e4-0b6c-4a61-97e0-13378b5989a7","resolution":{"observed_at":"2026-08-04T18:03:46.642534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:46.867135Z","title":null,"venue":null,"work_id":null,"year":2068},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:46.867135Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:4d1eca15860e89b40ecc2dd0b17c4d7cf4cd563adc4769df5f99916b60bdbe93","observation_id":"60eae803-e0c0-4271-8a8a-e607e12bed57","resolution":{"observed_at":"2026-08-04T18:03:46.867135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:46.957821Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:46.957821Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:197f7137bca8afefc8db02fd76d870cd60e7617125f538b76922ff8aed0e8675","observation_id":"39259a48-d2e7-4e4d-9349-f235023cd47e","resolution":{"observed_at":"2026-08-04T18:03:46.957821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:47.105926Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:47.105926Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:181be227881b720ae3a383f94401e39d032a8c0832d4a04bb9dc528959e544bf","observation_id":"96479705-8b48-4418-9bff-ae5803c697fe","resolution":{"observed_at":"2026-08-04T18:03:47.105926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:47.156708Z","title":null,"venue":null,"work_id":null,"year":2063},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:47.156708Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:c6702bf5e38a09b015a431632052b447ce259f3918eaec4e1c159189b4ad09d9","observation_id":"11f5e206-3736-4c25-b79d-34aefc636846","resolution":{"observed_at":"2026-08-04T18:03:47.156708Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:47.285575Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:47.285575Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:bb1f79152b34c88761174e8e291fe473cb1593d2a772f8146f1ebea4fc44003e","observation_id":"5285353e-2a22-417d-a059-1a9d2c4a55d4","resolution":{"observed_at":"2026-08-04T18:03:47.285575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:47.434755Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:47.434755Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:038a1ee034a070a0f2f1a14f68624d247622375f9d0d7ead37b9b15eca784132","observation_id":"86bd9ff6-6b5c-4dba-9b7d-4b898c230732","resolution":{"observed_at":"2026-08-04T18:03:47.434755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:47.584744Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:47.584744Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:ec9faa0c51ea35968c88e78b28a5822994803a5a25ff24205a8b72e878f3e229","observation_id":"2fc40b71-6bdb-4df7-8c0f-adaa14fc5fff","resolution":{"observed_at":"2026-08-04T18:03:47.584744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:47.734739Z","title":"Barducci, M","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:47.734739Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:305146dcb8200267c1b1e2714f35f5d4822db5ca0394015f8ed2d8c4a1d2fd8d","observation_id":"b8b120c0-1683-46ac-8ede-c523929bc940","resolution":{"observed_at":"2026-08-04T18:03:47.734739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:47.862280Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:47.862280Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:18664559799ea59b7434304a365640d4094b144fac126c0b3d7b38c23bf8a66e","observation_id":"f23297d7-e31b-48b2-84c6-a91d3801849f","resolution":{"observed_at":"2026-08-04T18:03:47.862280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:47.989812Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:47.989812Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:813044484d63c8148d100b29a04ac4964fb6b2c87795ae90a4784984778efb5f","observation_id":"8a3369f5-e504-49d6-b6c3-55f5e1bacf4d","resolution":{"observed_at":"2026-08-04T18:03:47.989812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:48.155846Z","title":"Mailhiot, L","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:48.155846Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:d931d3e3b5c623d08276ee3eedd49dcbcbf7b7336b0b6c5058792b7fc9f010d9","observation_id":"12994d87-60b8-4638-90b4-e5b0b962eccc","resolution":{"observed_at":"2026-08-04T18:03:48.155846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:48.294845Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:48.294845Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:af77ec81c59e638c728f18df8164c086463e5d2eb859a97d1167435c6194b47c","observation_id":"b19575f6-d160-4837-9405-706f4d145389","resolution":{"observed_at":"2026-08-04T18:03:48.294845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:48.464748Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:48.464748Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:b1712e6efa4d7b37f0eb9f00a111723998436f371217a3ed1bd663ed26539722","observation_id":"47615e58-a8b5-412a-ae3b-ff9b44a9ee3a","resolution":{"observed_at":"2026-08-04T18:03:48.464748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:48.632660Z","title":"Zhang, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:48.632660Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:ff401245b39f206a4eeeaba3baf5e57bd30debddf86f60d3f858ba2ab630d59b","observation_id":"4316db60-7a43-40ef-bd62-addcb294d9e5","resolution":{"observed_at":"2026-08-04T18:03:48.632660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:48.785499Z","title":"Zhang, X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:48.785499Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:c25d6b34079e9deb91476b1c5e48b96ccc645e7a23178cd6a2a319955bcb7b54","observation_id":"564625d5-9227-4bed-95c0-eae86a1adbf5","resolution":{"observed_at":"2026-08-04T18:03:48.785499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:48.934756Z","title":"Zhang, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:48.934756Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:772dc71fe7234f24f0fc21f007841963db4dce02ac55af6d234556db119f397f","observation_id":"4675445c-61e7-4a70-9fc2-8f411920f0b5","resolution":{"observed_at":"2026-08-04T18:03:48.934756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:49.085583Z","title":"Chen and S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:49.085583Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:b0fd6946f4d413719326dec5651d13b029c593da17ab49a6fbb559fac01dd069","observation_id":"5f8e6048-65a2-49fe-a8ca-9ddc4c69d3c1","resolution":{"observed_at":"2026-08-04T18:03:49.085583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:49.244882Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:49.244882Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:d943d866ca6294d6b7561b7b3a9903d7af486c8941fb725843996943749fc212","observation_id":"28352c7e-2cf1-4b9c-8e59-0612587dcd0d","resolution":{"observed_at":"2026-08-04T18:03:49.244882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00096","last_updated":"2025-09-04T13:50:21Z","snapshot_observed_at":"2026-08-04T22:35:15.439821Z","submitted_at":"2023-12-29T23:08:59Z","title":"A foundation model for atomistic materials chemistry","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00096","snapshot_observed_at":"2026-08-04T18:03:49.397715Z","title":"Batatia, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:49.397715Z"},"links":{"cited_paper":"/paper/2401.00096","citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:8a8be588fabbae34fd58a7730be9bb81a3a3ad263a996a8da732a13d9285c41b","observation_id":"d518b134-16ca-4162-b6e1-26afaaf09f0e","resolution":{"observed_at":"2026-08-04T18:03:49.397715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:49.614785Z","title":"Merchant, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:49.614785Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:ef85adbce04c811d3d50b7b6a44ff29ceaedf13e0a3828ee61b252740ef4f802","observation_id":"3100500d-9793-4721-81a0-ffd578f68524","resolution":{"observed_at":"2026-08-04T18:03:49.614785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12771","last_updated":"2026-05-20T00:46:02Z","snapshot_observed_at":"2026-08-15T03:47:51.196617Z","submitted_at":"2024-10-16T17:48:34Z","title":"Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12771","snapshot_observed_at":"2026-08-04T18:03:49.864751Z","title":"Barroso-Luque, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:49.864751Z"},"links":{"cited_paper":"/paper/2410.12771","citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:bdd6b90306934ad5efa77c2006301ea4a08397d464ee7d073b3008c3045544c7","observation_id":"01420873-afd3-4f5f-9665-3d13971e656a","resolution":{"observed_at":"2026-08-04T18:03:49.864751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:50.147017Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:50.147017Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:f46f97b7e34752f66623c83f5c88d2c0f00d3e41549c8bf29e9e3ed3c9df560c","observation_id":"fbeee089-ee0a-42fc-848f-efaef1e89cf8","resolution":{"observed_at":"2026-08-04T18:03:50.147017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04967","last_updated":"2024-05-10T16:49:52Z","snapshot_observed_at":"2026-08-06T05:52:39.645210Z","submitted_at":"2024-05-08T11:13:30Z","title":"MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04967","snapshot_observed_at":"2026-08-04T18:03:50.434754Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:50.434754Z"},"links":{"cited_paper":"/paper/2405.04967","citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:8bb3541968bf169392a383d9fb62b75d4a6b694d6cbefce1445e3b5ff4681ac5","observation_id":"f4b9f1cd-c53d-4806-9246-2654f5c51d19","resolution":{"observed_at":"2026-08-04T18:03:50.434754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:50.584836Z","title":"Bochkarev, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:50.584836Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:471a314b5b768ad9ad612cc2f5d38a318640d342d766cf6a94a0c8af27065c1b","observation_id":"e7c3fee2-b83e-4c2e-9c09-6b38181a6104","resolution":{"observed_at":"2026-08-04T18:03:50.584836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:50.744755Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:50.744755Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:415ceae64ed8dfdd8730ebeb62f676e03541bb5f9f61ad97f6a66598d34a16c7","observation_id":"2900e151-0e5d-441d-96e9-f15935d5befd","resolution":{"observed_at":"2026-08-04T18:03:50.744755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:50.895133Z","title":"Schmidt, L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:50.895133Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:f2bbaf9db6a3f0d52dc5994fca84721f6351f024d1306c21de33d2b8083c5847","observation_id":"82e3b201-0451-4a9b-b586-bd5f45a3cb45","resolution":{"observed_at":"2026-08-04T18:03:50.895133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:51.309230Z","title":"Schmidt, N","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:51.309230Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:1dc6f1a6c0d9f7b8a480c2add2d4d9393c589270e7c74d498280d347fa01a88a","observation_id":"410a949f-c24f-4c4f-9370-c93b7abfbb09","resolution":{"observed_at":"2026-08-04T18:03:51.309230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:51.454858Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:51.454858Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:d2683cb8ad476a39a454dba0913eaaf602642710b915c5c732e52a1c1dba87d0","observation_id":"6a9e51fa-3ea5-4c60-af37-0a60f2a48158","resolution":{"observed_at":"2026-08-04T18:03:51.454858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:51.594755Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:51.594755Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:e7c14fc7bb9e77a5f5731dd4216d30896a93675f2a0f10b0477a73c47ee96744","observation_id":"0e371649-652f-474b-8a8a-8fe6e569f4dd","resolution":{"observed_at":"2026-08-04T18:03:51.594755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:51.704952Z","title":"Zhang, H","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:51.704952Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:d35e69a75c384165bb4b4b8592eaf6d66750af35c4e8e7c10942d8b942feced3","observation_id":"6df6460d-f075-4a46-aa14-3a7c7370a81c","resolution":{"observed_at":"2026-08-04T18:03:51.704952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06231","last_updated":"2025-04-10T18:13:52Z","snapshot_observed_at":"2026-08-16T12:42:55.814907Z","submitted_at":"2025-04-08T17:27:34Z","title":"Orb-v3: atomistic simulation at scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06231","snapshot_observed_at":"2026-08-04T18:03:51.934988Z","title":"Rhodes, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:51.934988Z"},"links":{"cited_paper":"/paper/2504.06231","citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:9223ca9b1bcf7b61fd332ea59d786c526f2fb3199eaae226d31b0c736b67cc7f","observation_id":"9c38b020-f933-4b6f-ab71-eb58b3ae8c3a","resolution":{"observed_at":"2026-08-04T18:03:51.934988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:52.264748Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:52.264748Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:8b86cd1b03d27e77ec381882cddcecfe9e606da643ef0743f75fac87b6b0845c","observation_id":"72c7d13d-2a75-47de-8155-06d91d4fc0cf","resolution":{"observed_at":"2026-08-04T18:03:52.264748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.14920","last_updated":"2024-12-10T23:52:04Z","snapshot_observed_at":"2026-08-17T22:59:21.894280Z","submitted_at":"2023-08-28T22:29:57Z","title":"Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.14920","snapshot_observed_at":"2026-08-04T18:03:52.344840Z","title":"Riebesell, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:52.344840Z"},"links":{"cited_paper":"/paper/2308.14920","citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:f28d2e913b4197ebbac9e8ad4b5e11968ee540ffd3068f8bb22a6c1924700144","observation_id":"d23484b4-6f0c-468b-9738-e0d3651660ef","resolution":{"observed_at":"2026-08-04T18:03:52.344840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:52.554769Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:52.554769Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:97ad229addafe4a3408dc7086851b8a18342f76fb0fa739cdf633e4b25e62ad3","observation_id":"43bc1623-c1e1-4909-b883-47d47b9d327f","resolution":{"observed_at":"2026-08-04T18:03:52.554769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:52.723219Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:52.723219Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:dd7d4b6901f1777e055d021e8c5f842d964481b83978495455525f91c38b40d8","observation_id":"e8cbe95c-9e3d-42cb-ac3e-7dcaf39ba3bc","resolution":{"observed_at":"2026-08-04T18:03:52.723219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:52.954751Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:52.954751Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:3b9f81f87d7df1d100e3cfa5269cca4271df16a8d1e1bd912a02b78d216489f1","observation_id":"42c60e24-53d7-4b25-90e4-2222aff43451","resolution":{"observed_at":"2026-08-04T18:03:52.954751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:53.284752Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:53.284752Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:54308b93a359d9abd2e10b7ba2750085d4fadaed7d47ad4b8f9dada93ff13fac","observation_id":"821afa6b-eab5-4035-8ee4-05545b7a45d1","resolution":{"observed_at":"2026-08-04T18:03:53.284752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:53.482560Z","title":"Kresse and J","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:53.482560Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:4eb6221fd1ef92a5e3f9294b386f0507834ad2a32f9ae5fb9adbd386a7a9221c","observation_id":"f97b228e-53e0-4826-8996-a362eb33982c","resolution":{"observed_at":"2026-08-04T18:03:53.482560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:53.654753Z","title":"Kresse and J","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:53.654753Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:c6ee16a99c09c5fc13df8be0f23bb3e1f7ebe03e007f31593fb242070be61f05","observation_id":"9cb1d7c1-dd21-4da6-916f-b8cea31440c4","resolution":{"observed_at":"2026-08-04T18:03:53.654753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:53.805524Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:53.805524Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:107dc6db610f6009d3096022b9e7e0769745f8cb287f84832d2aae1bfc8d97d2","observation_id":"6ce8ef87-9f00-4e44-a65a-6f341c60fb18","resolution":{"observed_at":"2026-08-04T18:03:53.805524Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:53.954755Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:53.954755Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:48cd1d241f328851b2d38fc832ea533b345a4174a77d3639a86db1a1d441c072","observation_id":"795b00f7-6615-4c1d-847c-83af8a7c21f4","resolution":{"observed_at":"2026-08-04T18:03:53.954755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:54.095986Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:54.095986Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:9657589fae671a40ba3dc4f030b3ff5f330aff85b10cf5c2fed586e2368548fa","observation_id":"6f6f68b4-137c-4f2f-ab50-3f03bbfd7ecc","resolution":{"observed_at":"2026-08-04T18:03:54.095986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:54.284758Z","title":"Miao, Caesium in high oxidation states and as ap- block element, Nature Chemistry 5, 846 (2013)","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:54.284758Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:3a370510aece472d29896f4827207c4798d9d4f1404c6c1330fa6a860f5eb41d","observation_id":"29e141e1-fdef-49ab-a79a-f55b509e4ee2","resolution":{"observed_at":"2026-08-04T18:03:54.284758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:54.424752Z","title":"Botana and M","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:54.424752Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:b0ead532923ac238b97ba81c52596459cebdf4363ac203b748dfed939a384061","observation_id":"c8acb47d-6d40-4868-816f-5354caf6e66e","resolution":{"observed_at":"2026-08-04T18:03:54.424752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:54.814747Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:54.814747Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:8adc82b1bf7dbbaa22e0e9b14506af3fb65d30fd74607c6b3a79a0856b4b88de","observation_id":"5b3fa10d-84f2-4575-9afe-00288d168524","resolution":{"observed_at":"2026-08-04T18:03:54.814747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:54.930616Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:54.930616Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:b270c2a5a82a3989df8e068297db47379af9206b0c0f380f61222d8ae73e4fb9","observation_id":"bc7313ac-e9a5-44d0-966d-3ad1e97e0dcc","resolution":{"observed_at":"2026-08-04T18:03:54.930616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:55.065850Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:55.065850Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:5ce25b6b51e5b9a3e6ee0889561d0590e7c873aa5783467ba4f41466fb8aea27","observation_id":"47161188-9799-41e1-8232-16b0e313c51e","resolution":{"observed_at":"2026-08-04T18:03:55.065850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:55.304759Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:55.304759Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:89013e3b504b2e15c047daa4151f41bc431cfc41c5e1cf9ff8eb61dfcee4abf3","observation_id":"a6bd64e3-ea0a-45f9-bede-365e15dbf379","resolution":{"observed_at":"2026-08-04T18:03:55.304759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:55.514750Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:55.514750Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:912a588098b3cfd5cadbece3604b51abb1314c9138cda09548006f5dc9d1e725","observation_id":"c3eb61ea-418d-4b49-99d4-05f5657be664","resolution":{"observed_at":"2026-08-04T18:03:55.514750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:55.633571Z","title":null,"venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:55.633571Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:edfea59cd2063decc3f6885fcd653987f6c106ad9650f4df4a68562eb4e7868a","observation_id":"08561a21-35a2-422d-8993-8b0a540b674d","resolution":{"observed_at":"2026-08-04T18:03:55.633571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:55.754750Z","title":"Schlipf and F","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:55.754750Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:c9aa53a90ba498e483538504b6ddc219a6e3c10d172f6fd0a0e8cb2c4913e5b6","observation_id":"0881640a-f0c6-4ab8-9b2b-3d93b431e59b","resolution":{"observed_at":"2026-08-04T18:03:55.754750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:55.856671Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:55.856671Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:d794b6b634bc4188f5f7cfb8f62c7c1d6af556d1f9033ab5ffcd6da32e6be496","observation_id":"de55329c-eb05-4598-b762-e71c4585d62c","resolution":{"observed_at":"2026-08-04T18:03:55.856671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:56.052405Z","title":null,"venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:56.052405Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:0bfa5f6d1ec0d291d09c38b62b0a55e42cf4a6c45d26b85aa443924154f0c7d3","observation_id":"de94c888-956c-4562-b188-e3ebdc61dade","resolution":{"observed_at":"2026-08-04T18:03:56.052405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:56.175713Z","title":"Kubler, K.-H","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:56.175713Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:68086d125c2202000f3e4fc72f94b68d06ee733ccd89b493392ddd9024c588f7","observation_id":"47a730ca-c2d6-4ede-8e79-aab92889c502","resolution":{"observed_at":"2026-08-04T18:03:56.175713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:56.355128Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:56.355128Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:f059bdd7f0e617de13bac62a3c6d14a49e5f90c87f4e843b5a46521c6fbf9e80","observation_id":"09cf05f1-ac2d-4b6f-86dc-81c8bfa51796","resolution":{"observed_at":"2026-08-04T18:03:56.355128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:56.504748Z","title":"Lopanitsyna, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:56.504748Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:96fa6ebb829afe328c4fe82b36c8e40e814c2f7a0b430f689376d23c8668354f","observation_id":"b6e5d43c-4fbc-4984-b6ac-8f63afe303a6","resolution":{"observed_at":"2026-08-04T18:03:56.504748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T18:03:56.694755Z","title":"Mazitov, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:56.694755Z"},"links":{"citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:5e687c6454ab9da9f016bc10c5a9ddfd7a67f410b641221c053c62e849d227fd","observation_id":"6f02d103-7c42-4851-b5db-269a7517efbd","resolution":{"observed_at":"2026-08-04T18:03:56.694755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-17T22:49:59.815987Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-08-04T18:03:56.804916Z","title":"Mazitov, F","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:56.804916Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:5ff7eb8b36c389d9f681bfb8cc1e7f6365955a4c7ba3ec88110614140fc7fd66","observation_id":"71c05811-b63c-458d-bc6e-76e7c421fb02","resolution":{"observed_at":"2026-08-04T18:03:56.804916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","latest_version":1,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-08-19T21:17:59.191321Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure"},"reference_resolution":{"displayed":72,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":72,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":72},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2509.10293."}