{"as_of":"2026-08-07T19:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9a0d482cbc8840bf114ed3655054054d869a2435c447069338f88604451d0416","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:48:26.179797Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T11:57:52.432370Z","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":"2026-05-16T23:18:39.749481Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.17792","snapshot_observed_at":"2026-08-04T11:57:52.432370Z","title":"Universal Machine Learning Potentials under Pressure","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.03479","last_updated":"2026-07-04T09:39:12Z","snapshot_observed_at":"2026-08-07T14:12:05.342819Z","submitted_at":"2025-10-03T19:54:40Z","title":"Active learning and explicit electrostatics enable accurate modeling of electrolytes","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T11:57:52.432370Z"},"links":{"cited_paper":"/paper/2508.17792","citing_paper":"/paper/2510.03479"},"observation_digest":"sha256:23c0cedf082e7f119b329000f62e409978467cd1b46176e05b480b887cbe63d4","observation_id":"77644269-d7c3-41c7-ae1e-ccbdb742f3fa","resolution":{"observed_at":"2026-08-04T11:57:52.432370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"cited_work":{"arxiv_id":"2508.17792","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.17792","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"cd893837-b695-4897-9748-1106b0ceab06","year":2025},"citing_paper":{"arxiv_id":"2512.09169","last_updated":"2026-05-01T14:32:43Z","snapshot_observed_at":"2026-07-06T22:38:35.387503Z","submitted_at":"2025-12-09T22:31:17Z","title":"AI-Driven Expansion and Application of the Alexandria Database","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-16T23:16:47.814591Z"},"links":{"cited_paper":"/paper/2508.17792","citing_paper":"/paper/2512.09169"},"observation_digest":"sha256:13d12a1d380e107a5a431310544f39636d52b18d8baa198489357dbdb8ff90be","observation_id":"183abe3b-3f39-4273-99d8-fc2612e32d00","resolution":{"observed_at":"2026-05-16T23:18:39.751008Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.17792","snapshot_observed_at":"2026-07-11T16:17:26.963678Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04622","last_updated":"2026-07-06T03:04:15Z","snapshot_observed_at":"2026-08-03T18:26:46.984236Z","submitted_at":"2026-07-06T03:04:15Z","title":"VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python","version":1},"reference_index":236,"source":"arxiv_source","source_observed_at":"2026-07-11T16:17:26.963678Z"},"links":{"cited_paper":"/paper/2508.17792","citing_paper":"/paper/2607.04622"},"observation_digest":"sha256:e7d1926a7500a3aa2b9a8f656ea4c09595b984d358992b20489807f6b359d239","observation_id":"eef583bc-e23d-4dab-b5e9-8eb7eea6db15","resolution":{"observed_at":"2026-07-11T16:17:26.963678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.17792/citation-record","integrity":"/paper/2508.17792/integrity","json":"/paper/2508.17792/citation-record.json","paper":"/paper/2508.17792"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:35.424497Z","title":null,"venue":null,"work_id":"56336ae6-bc1c-405e-af7d-080e1eb6257a","year":2002},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:21.526563Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:1e545f2261a6d8a8a90567706b8d656ae2298de418eb515f682038b5621db8cb","observation_id":"4b0ab41f-1aa4-43ec-9bdd-ec2577071060","resolution":{"observed_at":"2026-08-05T16:48:35.568396Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:35.186774Z","title":"Zhang, Y","venue":null,"work_id":"49fe5291-ff00-475a-98ba-2a0bdd3c78df","year":2017},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:21.570066Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:98c358323d7b986963b741f5ca4ba861af214a10336f9d2a7465b49472b5efd3","observation_id":"591f1999-0404-41cf-a96f-7945fc1735bd","resolution":{"observed_at":"2026-08-05T16:48:35.273324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:34.915699Z","title":null,"venue":null,"work_id":"9f857ceb-d402-49be-97cf-f0c2ef885fd5","year":2006},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:21.635694Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:3cf18c8cdacd6df244ee395346769ac18736da32ee96c4870eae6741f9458175","observation_id":"005e8fc9-6ef2-4a44-af70-a5eb4c96baa2","resolution":{"observed_at":"2026-08-05T16:48:35.027261Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:34.720326Z","title":"Loubeyre, F","venue":null,"work_id":"4bfd57c8-ad23-4e02-aaa1-aeb9f13c7853","year":2020},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:21.739992Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:661ece2d1424ce0139841a5e49d5e1029011e5990bb29e95391ac430cfda9b37","observation_id":"da65c752-bf79-4c3e-998d-6509790a0e8f","resolution":{"observed_at":"2026-08-05T16:48:34.820030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:34.376617Z","title":null,"venue":null,"work_id":"c52296af-a8f7-4142-b19d-c6f10574c441","year":2021},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:21.840091Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:7439a9a83987c2ff8be62fa5dcf336f205063cb8ead00bf249bec117276dad13","observation_id":"ddb76796-15a3-4b71-85cd-102be570278b","resolution":{"observed_at":"2026-08-05T16:48:34.533708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:34.099320Z","title":"Grochala, R","venue":null,"work_id":"9bc77a35-b26e-4061-b229-d097c41d48d4","year":2007},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:21.931214Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:8a4c840badd44647421af358b56bc37118f4d39660d6cbeb480c86f9346e4134","observation_id":"e1d1161e-e6d2-4f98-99af-3da4fc23ba00","resolution":{"observed_at":"2026-08-05T16:48:34.227950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:33.803246Z","title":"Popov, M.Kyotani, R.J.Nemanich,andY.Koga,Su- perhardphasecomposedofsingle-wallcarbonnanotubes, Phys","venue":null,"work_id":"851396d7-2c93-4660-bea9-b236c4335b60","year":2002},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.034630Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:23368fc1469ef27c65346a8a63d65dd79fdabcd44c54d64f13da49c5deede1f0","observation_id":"34e048f1-55ca-4741-a526-a062933c7c36","resolution":{"observed_at":"2026-08-05T16:48:33.949543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:33.600493Z","title":null,"venue":null,"work_id":"3d7836e9-f201-4b42-a9a8-793470116bc0","year":2004},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.135754Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:4a2d040287831ace5dd250a37e9c4c87ad5ebee147a4dfd01e099353b9bc4424","observation_id":"7d53f5eb-d6a9-4e66-a2b1-bad9c0ff6ebe","resolution":{"observed_at":"2026-08-05T16:48:33.701254Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:33.321127Z","title":"Tang, H.-w","venue":null,"work_id":"0a8096d8-3726-4613-8c9c-f98f34f5bdc5","year":2023},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.275095Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:5d2862757da6906380a7a91d692c66229c56fb05ecdd4c8abd6b7da4337ed48d","observation_id":"383d3563-58ff-4617-b0d6-45f2433d1474","resolution":{"observed_at":"2026-08-05T16:48:33.453911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:33.018895Z","title":null,"venue":null,"work_id":"87aa9053-6b5c-4b67-aa99-b895e7a4038a","year":2011},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.370732Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:0e9b9d10f40630711f8246c498ff54e81227792e6f5bc57144c9e3bacc1d78a9","observation_id":"ec9b3080-fd18-461e-b94b-f991fe0d7e90","resolution":{"observed_at":"2026-08-05T16:48:33.171114Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:32.778969Z","title":null,"venue":null,"work_id":"a1cc0f4f-5899-42ac-814a-f4c7fc663f32","year":1999},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.454956Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:9692a983dcab4b29f4adfd3a0cc27453b17eb0324b56b5c34a7db556292a7571","observation_id":"cc501d25-6faa-4b3a-bc4a-2be082bf93a3","resolution":{"observed_at":"2026-08-05T16:48:32.903901Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:32.527169Z","title":null,"venue":null,"work_id":"310325db-dce9-4f78-b9a2-3aceb0bf77f8","year":2007},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.508858Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:dea6d8d3765c69355caa766c3d21d1d90beb4dc99c1cec4f271271b10d0c6033","observation_id":"71f5d2d4-4383-42fc-9030-2387d64e372a","resolution":{"observed_at":"2026-08-05T16:48:32.634855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:32.372355Z","title":null,"venue":null,"work_id":"c5d0d547-e9e5-4329-b9f6-0e124a6a8429","year":2021},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.600515Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:6e2652b6c03836cb1e65fd2b53f4a0e8c23a20f75000713d85e6e36cbe92f9d3","observation_id":"4a27e4ab-a622-4b48-b1d3-a7c7e21d0676","resolution":{"observed_at":"2026-08-05T16:48:32.463927Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:32.123081Z","title":null,"venue":null,"work_id":"2c7a252f-3154-4cb4-9111-509625aeeeef","year":2009},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.656414Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:cec25e2a2018d0c51ed4aee61ba8631f378e3270643f97f724ff80074a021735","observation_id":"6500f618-f20f-419d-a62c-905458cad195","resolution":{"observed_at":"2026-08-05T16:48:32.229510Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:31.895425Z","title":"Sun, H.-T","venue":null,"work_id":"9c659254-f28e-4937-b123-d39c8e3a91e9","year":2005},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.748322Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:c65787def5aac4172ca711ff26d67b08739638035ecd5faf6f61b4edad0620dc","observation_id":"1a7f8c69-e266-464b-860b-16c80160277c","resolution":{"observed_at":"2026-08-05T16:48:31.951011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:31.615374Z","title":"Napiórkowska, K","venue":null,"work_id":"c44ff1fd-acd2-41eb-8823-58f22fa49c87","year":2023},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.835087Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:53fc8e8cf561c915d94b24c8e195dcde0e2a2550bce8574ec7b72875f60e160a","observation_id":"ef4d87b3-a226-440e-a301-a2bb9afff7c8","resolution":{"observed_at":"2026-08-05T16:48:31.740789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:31.440767Z","title":"Zeller, C","venue":null,"work_id":"e803508e-25be-4751-a8b3-843103ed39c2","year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:22.918239Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:cb487db5fb30f7f8b881c2e323da47952bd82379b0c6fefd2137ca5d6e483e17","observation_id":"50289545-533f-45f7-9a43-fdd0c25fac80","resolution":{"observed_at":"2026-08-05T16:48:31.523309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:31.259020Z","title":null,"venue":null,"work_id":"0c5cf96a-502c-4836-8124-c12ebe15a3b9","year":2020},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.008805Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:0e4571e54bf1382fac02142e4acb2460b64081355fde15239f5afaca594b974f","observation_id":"d284fa96-0baa-49a7-984e-b7be7eec344b","resolution":{"observed_at":"2026-08-05T16:48:31.331024Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:23.092305Z","title":"Behler, Perspective: Machine learning potentials for atomistic simulations, J","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.092305Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:4bd54b374571815ede063dcfec3c1b8273f1bf18e950ef27d7a71c156a0ad265","observation_id":"b57af383-d00f-4485-9b19-2d5b7e2fff5d","resolution":{"observed_at":"2026-08-05T16:48:23.092305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:31.041517Z","title":"Thompson, L","venue":null,"work_id":"5c9adb6c-7e8a-4456-8e8d-2144813d51ed","year":2015},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.177696Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:c358c88ff2f70103140c9bcd6bcf465ebdd64f158a3366d057be09cdc9cdce0e","observation_id":"5e6b5e8a-9a07-47a0-a6ec-757740041814","resolution":{"observed_at":"2026-08-05T16:48:31.158482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:30.801465Z","title":"Graser, S","venue":null,"work_id":"496ed961-b1d2-4dd2-99fc-138d488032b1","year":2018},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.271401Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:a88cdca4bda0a0c02c52bb56c6d8ccac5e38d477bcd37a194fcb96785c469e45","observation_id":"9f53c0d1-b167-4445-bb8a-49e7ffc20715","resolution":{"observed_at":"2026-08-05T16:48:30.937375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:30.509336Z","title":"Schmidt, M","venue":null,"work_id":"8fe103ca-aafd-4ee4-96f4-16b13d71d654","year":2019},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.350431Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:5c556dbc6a4d8e16516e86b36d503f4ef6c13c5f9070abbd65203f884ad4eafd","observation_id":"8f8012f2-d0ff-4341-af5a-62939c543a29","resolution":{"observed_at":"2026-08-05T16:48:30.649106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:30.227153Z","title":null,"venue":null,"work_id":"0dc5022e-fd40-4cd4-832f-c2cea72dd2d2","year":2021},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.494170Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:253c111c476197dc5ce0b59710f28a5a060b45cb840ea62d59456f70f1080043","observation_id":"e23a26ad-9982-4afe-8cb4-c66499933949","resolution":{"observed_at":"2026-08-05T16:48:30.381492Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:23.585485Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.585485Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:14f1646b8728ed85b041ad7cfea8d2faa21d58777699935489b6562f5603597d","observation_id":"6a2e03b4-aff8-4a0e-9583-797488f3a58a","resolution":{"observed_at":"2026-08-05T16:48:23.585485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:29.878932Z","title":null,"venue":null,"work_id":"68439dba-474b-40b5-b579-a1720ada4a83","year":2018},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.687442Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:430bdac25533578988b06bfa7cbe2270f32864c2e12bea6b753e6ceb79b6173b","observation_id":"81e6ac07-8c3b-4a2f-b899-e354579c0d0e","resolution":{"observed_at":"2026-08-05T16:48:30.073725Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:29.626362Z","title":"P.Ong, G.Hautier, W.Chen, W.D.Richards, S","venue":null,"work_id":"6558666d-54fc-407f-8a44-75d2665eaf97","year":2013},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.769869Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:f350d41eb29c84302a8b76faaf4fd87e6eb7fcf95392c7dc7ef7134c558e4fd7","observation_id":"7e685151-1703-4d39-8092-76de2d332230","resolution":{"observed_at":"2026-08-05T16:48:29.738579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:29.282256Z","title":"Kirklin, J","venue":null,"work_id":"5e87e6ee-9576-42d0-9f0b-28709de3a9d7","year":2015},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.830197Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:290241eaa38b80b54154fbd2a119c67299675ef49838eb289b7135af86f982d6","observation_id":"1d1619f6-86dd-4d99-b78c-d832c0a19db6","resolution":{"observed_at":"2026-08-05T16:48:29.468785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:29.048047Z","title":"Curtarolo, W","venue":null,"work_id":"828a20af-8b9e-41b3-b31d-13778f72cf6c","year":2012},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.894976Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:89a47a7b4a8645f4e8108aab5c60beca2dc7bf6da456c9dd5824cda50e22577c","observation_id":"975606e5-aa01-469a-8b80-b5730d25be22","resolution":{"observed_at":"2026-08-05T16:48:29.146724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:28.757226Z","title":"Schmidt, T","venue":null,"work_id":"977fb036-b7b0-41ea-ae46-6ff82bbb767e","year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:23.999368Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:24927e023c6ad653827783a78663c5cbeebeae90793952c3890435885607f967","observation_id":"23351af2-00c3-43aa-861e-ef80d169643b","resolution":{"observed_at":"2026-08-05T16:48:28.875216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:28.532902Z","title":"Scheidgen, L","venue":null,"work_id":"bb1ccb50-c830-4684-9d0e-36b89c00f35b","year":2023},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.115083Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:687f8a4d38275706ee557505b61353041df3effff7a7398e29fffd9ba0ae0560","observation_id":"a27f1a70-04c4-4fd8-8df9-3cd7499c7786","resolution":{"observed_at":"2026-08-05T16:48:28.636723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:28.187969Z","title":"Chen and S","venue":null,"work_id":"66a0ff52-dbaf-49a6-ba9b-7acdc2acdc01","year":2022},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.211066Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:525eca24e7eea98a9dac756d0d1ee3e469a5c3cbbcaf44cf53e9f18e1a8b132b","observation_id":"f5017642-1a5b-47f9-a098-2c2bb67e20a0","resolution":{"observed_at":"2026-08-05T16:48:28.374216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.22570","last_updated":"2024-10-29T22:20:14Z","snapshot_observed_at":"2026-07-06T19:41:55.010834Z","submitted_at":"2024-10-29T22:20:14Z","title":"Orb: A Fast, Scalable Neural Network Potential","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.22570","snapshot_observed_at":"2026-08-05T16:48:24.283804Z","title":"Neumann, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.283804Z"},"links":{"cited_paper":"/paper/2410.22570","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:fa515538683a3c5e2266009be919727614e81bedb1875c55efc1ee163d3636f8","observation_id":"0faa09e1-0447-40aa-bd79-4c0c0fafceba","resolution":{"observed_at":"2026-08-05T16:48:24.283804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:27.895936Z","title":null,"venue":null,"work_id":"0bd0256f-43d1-4785-aba3-e126fed2f563","year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.342739Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:f0bc6a4269ba2a13d9a6a309b08eacf7917c9b2f27297b8a10eeb407f6559d28","observation_id":"f1d0bf73-c46a-4733-9e56-5b127ae1bbf7","resolution":{"observed_at":"2026-08-05T16:48:28.046411Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:27.589966Z","title":null,"venue":null,"work_id":"6ef3c99f-0db3-4b1c-b1ef-8cfb2329cb19","year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.428626Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:acc7b83c9b935c72fd17deb1c8d1c687d97607566a5d0caba57a749122dcafc3","observation_id":"7c457218-59c7-460d-ba66-93355b5a42ae","resolution":{"observed_at":"2026-08-05T16:48:27.721894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:27.374484Z","title":null,"venue":null,"work_id":"9fca330f-b6c9-44f1-9eec-0c5638203c0c","year":2023},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.546512Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:c832c819b5a6d196274023c63b403bd609630ab16ed93c6c61a575cddc307d0e","observation_id":"b760a908-3035-4dbb-a061-55eb8fb7f6b1","resolution":{"observed_at":"2026-08-05T16:48:27.476186Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:24.611649Z","title":"Choudhary and B","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.611649Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:3c51e5446b40e461a2a208c240d247d8f9b1484d650bc7209577f338ccc92afa","observation_id":"10ac8f2f-9098-464f-8c76-80489cab0d75","resolution":{"observed_at":"2026-08-05T16:48:24.611649Z","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":"2026-08-05T16:48:24.668848Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.668848Z"},"links":{"cited_paper":"/paper/2405.04967","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:e9f0fd5da9fdcfabd8f3b58e843c9623ae539a205a861adbcaee5e2dbfff7e9a","observation_id":"42dc3dfc-d84b-426f-ac34-f5b9ecae1a8c","resolution":{"observed_at":"2026-08-05T16:48:24.668848Z","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":"2026-08-06T01:59:40.411635Z","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":"2026-08-05T16:48:24.754351Z","title":"Barroso-Luque, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.754351Z"},"links":{"cited_paper":"/paper/2410.12771","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:ef17bfcabfc6f7825dd83aa9d33c55bed61895b0bdd80d94eb4ff4125ca6820c","observation_id":"e454d2fb-1d80-41a6-bee0-64e1d90a8408","resolution":{"observed_at":"2026-08-05T16:48:24.754351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16358","last_updated":"2025-01-20T13:34:08Z","snapshot_observed_at":"2026-07-06T20:26:55.455541Z","submitted_at":"2025-01-20T13:34:08Z","title":"The OpenLAM Challenges","version":1},"cited_work":{"arxiv_id":"2501.16358","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.16358","snapshot_observed_at":"2026-08-05T16:48:26.397335Z","title":"The OpenLAM Challenges","venue":"cs.LG","work_id":"7b29246a-64aa-437c-b827-983c34c08226","year":2025},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.788754Z"},"links":{"cited_paper":"/paper/2501.16358","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:b9ba686af1d0f9289da6439182b91a42583085a230261770c06e1a32f8f37c51","observation_id":"e739fdd4-59cb-4aa5-8d88-d7bb68c1fdbd","resolution":{"observed_at":"2026-08-05T16:48:26.473566Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:24.861228Z","title":null,"venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.861228Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:b669a5ea0fca8ac5248ea52486983b84f2016865d806c8bc11c97f47fb650df0","observation_id":"438aefad-10c4-47b4-a2bb-ebd06a7df5c7","resolution":{"observed_at":"2026-08-05T16:48:24.861228Z","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":"2026-08-05T18:12:10.439260Z","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":"2026-08-05T16:48:24.924561Z","title":"Riebesell, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:24.924561Z"},"links":{"cited_paper":"/paper/2308.14920","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:3482ca782a1054f0cdcdf03fef23cce9808f352d9e2a19c48c2fb1db188b171b","observation_id":"a40e38c0-a43c-4590-87ba-e381410aff15","resolution":{"observed_at":"2026-08-05T16:48:24.924561Z","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":"2026-08-05T16:48:19.647331Z","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":"sha256:488b746ab1ef6881388cce38741ab4ecce9d23de78803406d5b7fc70fd70dc30","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:27.172395Z","title":"Batzner, A","venue":null,"work_id":"4aa850c9-a85c-4827-97a8-0b97e9493bc4","year":2022},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.175348Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:b39c162de29bc76fb65d199095e9b19bfda737da161eb21b1d1b16c46ec3a0ae","observation_id":"0e2ed2d3-38a8-469f-8f88-056165afa715","resolution":{"observed_at":"2026-08-05T16:48:27.266709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:25.279419Z","title":"Zhang, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.279419Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:d59baa3982b39793b99d6382d0f095da2fd3ac83e9a18dc278eb9903503b744f","observation_id":"50194834-9c29-4fec-b5bc-542d51447640","resolution":{"observed_at":"2026-08-05T16:48:25.279419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:27.000800Z","title":"Bochkarev, Y","venue":null,"work_id":"aed4e122-3937-444b-97bb-c07ed1879d3c","year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.375703Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:a8291658e3ffd304a06f716c2ba92790b44c77910f837ed1442ef86a565e7998","observation_id":"15af991e-d476-4d55-adb2-7c6ad4052363","resolution":{"observed_at":"2026-08-05T16:48:27.097236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:25.483411Z","title":"Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.483411Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:87a8d61493320b4f9f805c26091712a62880f26b3aaa610e0750ed44dff3ed25","observation_id":"ee7ee4f2-2516-414d-9e65-d2c1d0a19dc8","resolution":{"observed_at":"2026-08-05T16:48:25.483411Z","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":"2026-08-07T16:07:26.494818Z","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":"2026-08-05T16:48:25.597729Z","title":"Rhodes, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.597729Z"},"links":{"cited_paper":"/paper/2504.06231","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:242bbf53373d0bab6bb3cba1a47790dfa47c5c68e86c69c3b5f82c292d927f93","observation_id":"0417eb4c-c075-410d-a59a-175726b73749","resolution":{"observed_at":"2026-08-05T16:48:25.597729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12147","last_updated":"2025-04-23T05:37:35Z","snapshot_observed_at":"2026-08-07T18:11:18.737680Z","submitted_at":"2025-02-17T18:57:32Z","title":"Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12147","snapshot_observed_at":"2026-08-05T16:48:25.676675Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.676675Z"},"links":{"cited_paper":"/paper/2502.12147","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:81000f42efeb5d28f9d4f112ee4e23f3fb92694d7326e80d4469439c358d7e4f","observation_id":"1382429b-d4ef-474c-8642-44273d5d8a33","resolution":{"observed_at":"2026-08-05T16:48:25.676675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09549","last_updated":"2024-12-19T19:29:47Z","snapshot_observed_at":"2026-07-06T17:44:41.822709Z","submitted_at":"2024-03-14T16:38:02Z","title":"Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09549","snapshot_observed_at":"2026-08-05T16:48:25.816850Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.816850Z"},"links":{"cited_paper":"/paper/2403.09549","citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:17fd58d0cc115155d7b517c284ccd51302b22c7ecae5e630b8b85091d06ea6c3","observation_id":"42d8fad4-06dc-47c1-8d2c-e8120047a072","resolution":{"observed_at":"2026-08-05T16:48:25.816850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:26.782700Z","title":"Kresse and J","venue":null,"work_id":"bab3d76b-a9ae-49c1-92e3-4b2154a19ee1","year":1996},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:25.916259Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:a7fb0be0ed77693594c4b2781bd0a501bfd854465599caf9b081512268a1d858","observation_id":"6a3a16af-8b51-487b-9d6d-bf3fe5131de8","resolution":{"observed_at":"2026-08-05T16:48:26.835566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:26.046774Z","title":"Kresse and J","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:26.046774Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:cdca570ba0b133f62ddfbfde8aee8d68db81165a47f3b5c379ea0ec6fd8b0160","observation_id":"b98e34e6-9726-45a7-83cc-6f18e99a0581","resolution":{"observed_at":"2026-08-05T16:48:26.046774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:48:26.587116Z","title":"(facebookresearch), fairchem: Fair chemistry’s li- brary of machine learning methods for chemistry,https: //github.com/facebookresearch/fairchem (2025), ac- cessed: 2025-08-17","venue":null,"work_id":"8bea0dae-8628-4ac6-81ed-e4d8b6c50f44","year":2025},"citing_paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T16:48:26.179797Z"},"links":{"citing_paper":"/paper/2508.17792"},"observation_digest":"sha256:b14deeebe92173be0bc85f054f25d9aa3ad90c4452ea11fb18765b3df92e4110","observation_id":"943b470c-3127-40ce-a016-ca08b2065ac2","resolution":{"observed_at":"2026-08-05T16:48:26.670311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.17792","last_updated":"2025-08-25T08:37:03Z","latest_version":1,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-08-05T16:48:19.647331Z","submitted_at":"2025-08-25T08:37:03Z","title":"Universal Machine Learning Potentials under Pressure"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":52},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 3 inbound Pith citation observations for arXiv:2508.17792."}