{"as_of":"2026-08-06T16:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77074643f371363178981351c13b13ec83db1e97747baecefdc73fc106e5a8f4","coverage":[{"denominator":268,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T21:27:50.941166Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T02:31:03.871783Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.07327","snapshot_observed_at":"2026-07-12T02:31:03.871783Z","title":"Creed , author T","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03433","last_updated":"2026-07-03T15:46:15Z","snapshot_observed_at":"2026-08-06T09:45:27.251520Z","submitted_at":"2026-07-03T15:46:15Z","title":"Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-12T02:31:03.871783Z"},"links":{"cited_paper":"/paper/2606.07327","citing_paper":"/paper/2607.03433"},"observation_digest":"sha256:d5917a9f874f46179027248f53af65585c56004532652a68ec989c2ea36e4e01","observation_id":"bc0344f7-ae97-44e9-96a0-a40f7145951a","resolution":{"observed_at":"2026-07-12T02:31:03.871783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"cited_work":{"arxiv_id":"2606.07327","doi":"10.48550/arxiv.2606.07327","metadata_source":"pith","pith_arxiv_id":"2606.07327","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","venue":"cond-mat.mtrl-sci","work_id":"4a5d783e-09fc-45f0-8e15-e8ad51571dd4","year":2026},"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":15,"source":"arxiv_source","source_observed_at":"2026-07-11T16:17:26.963678Z"},"links":{"cited_paper":"/paper/2606.07327","citing_paper":"/paper/2607.04622"},"observation_digest":"sha256:9f9c79675486ce51d6423cbbbd5450c1ddd6a201ca9fe2edf5a0851b2b564acc","observation_id":"cd2e12f5-d45a-4469-8f9c-5d81c10b4d77","resolution":{"observed_at":"2026-07-11T16:18:07.745873Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T05:19:23.637918+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T05:19:23.637918+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2606.07327/citation-record","integrity":"/paper/2606.07327/integrity","json":"/paper/2606.07327/citation-record.json","paper":"/paper/2606.07327"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.1699114","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T18:27:31.255980Z","title":"Metropolis, A","venue":"The Journal of Chemical Physics","work_id":"81a396a7-b06b-47e1-8c24-ac36305d59ef","year":1953},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:ee02a44fea823b2dd1050176cacea614a21e019b8934f0871cc7863ee2a62fd8","observation_id":"5d3a581d-22f7-4557-80c6-4769d5c6d39e","resolution":{"observed_at":"2026-06-27T21:31:16.748946Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-03T23:08:12.805822+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T23:08:12.805822+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/biomet/57.1.97","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Biometrika , year = 1970, month = apr, volume =","venue":"Biometrika","work_id":"9ef44e26-deb7-4aa2-a4f5-0822f36c5b57","year":1970},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:ebd094f0bfdb25b5185cae99fef5d579670125a6cac2be8f71f404e66d3e91aa","observation_id":"77872459-0bd2-43da-9a61-1d7d457b6d75","resolution":{"observed_at":"2026-06-27T21:31:16.655354Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T07:49:35.163866+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T07:49:35.163866+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrev.136.a405","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Physical Review","work_id":"10da6f5f-ba56-4d21-b60e-75320630e5fe","year":1964},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:88e2ece51c25fac8394c2f5e3b3a67eae8c547d3169df1d992ce27dcbeda32ce","observation_id":"9ad71f66-92fe-4ca8-bfe4-c06ef7ec9ad1","resolution":{"observed_at":"2026-06-27T21:31:16.876722Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-11T22:19:57.783488+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T22:19:57.783488+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrev.159.98","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"experiments","venue":"Physical Review","work_id":"20795afb-0cfb-44db-8235-0c3c2955f917","year":1967},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:c4a3512ce82503a154233444d9890087c622f12078c132b97bb95943e73e484e","observation_id":"adddbb87-46f5-408c-b4fb-737ac96a0339","resolution":{"observed_at":"2026-06-27T21:31:16.686377Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.441588","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploiting the isomorphism between quantum theory and classical statistical mechanics of polyatomic fluids","venue":"The Journal of Chemical Physics","work_id":"ca902fa3-5c8b-4d34-97e9-2195151b385f","year":1981},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:2f4982e83780c817efadc48eb77864e98567941bec636eeddfad5081be2a7093","observation_id":"7b821801-19ed-4d88-b619-d335fe72f307","resolution":{"observed_at":"2026-06-27T21:31:16.684799Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-11T22:20:07.052762+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T22:20:07.052762+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.328693","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Parrinello and A","venue":"Journal of Applied Physics","work_id":"150890b3-b61e-440c-8e9d-0cfb3816859a","year":1981},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:0e7153a72f696ad47666181ac3205b7653cda1889eb869110e568c2a13ac2447","observation_id":"920a1752-86fd-45d5-a564-e9ca2f7d3f1e","resolution":{"observed_at":"2026-06-27T21:31:16.653401Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-05-30T12:25:24.422087+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-30T12:25:24.422087+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/revmodphys.67.279","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Reviews of Modern Physics","work_id":"7dcd8905-2173-4076-9781-9be0923b6545","year":1995},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:53898ed2fcebd4d2e52001a9fe922bb38a1463342c4f3df0fdc9a7ff95c1a60b","observation_id":"42a3d7bf-3f13-47ae-abb5-15d17c49a782","resolution":{"observed_at":"2026-06-27T21:31:16.851452Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1924.0082","doi":"10.1098/rspa.1924.0082","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Series A, Containing Papers of a Mathematical and Physical Character106463–477 ISSN 2053-9150 URL http://dx.doi.org/10.1098/rspa.1924.0082","venue":"Proceedings of the Royal Society of London Series A Containing Papers of a Mathematical and Physical Character","work_id":"9fd134c3-7995-49ae-8e35-3f1226e11e1c","year":2053},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:571335e71fe9cc0eccae27d51a27e1c09005a52f28471de6ecdab373b0fa61e7","observation_id":"3f6b28c8-e334-49b1-a6f6-448c34eda4d9","resolution":{"observed_at":"2026-06-27T21:31:16.702302Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T04:20:16.29727+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T04:20:16.29727+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.1743957","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"The Journal of Chemical Physics","work_id":"1b70ccdb-3462-4b70-8102-a80010c528fb","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:e053a404f2cd4bbc006a00b1e9dfa5cbea249b853151297ee40a5a0868adee82","observation_id":"85c1fe55-a611-4e02-961b-5a105ede46c1","resolution":{"observed_at":"2026-06-27T21:31:16.689990Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.98.146401","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T00:37:41.517880Z","title":"Generalized neural-network representation of high-dimensional potential-energy surfaces","venue":"Physical Review Letters","work_id":"1ef6c602-4928-4db2-a422-c82715f761db","year":2007},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:38c127e9e3cc75021c105fd41d4277ec7bf8eef32aeff4251fecaafee758fff0","observation_id":"12951eb6-6381-40c6-86f3-086643bf4cbc","resolution":{"observed_at":"2026-06-27T21:31:16.688288Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-11T22:19:55.287897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T22:19:55.287897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1209.3140","last_updated":"2013-03-20T21:32:42Z","snapshot_observed_at":"2026-07-06T02:55:37.172105Z","submitted_at":"2012-09-14T09:33:07Z","title":"On representing chemical environments","version":3},"cited_work":{"arxiv_id":"1209.3140","doi":"10.1103/physrevb.87.184115","metadata_source":"doi_reference","pith_arxiv_id":"1209.3140","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Bartók, Risi Kondor, and Gábor Csányi","venue":"physics.comp-ph","work_id":"e9773ddd-1a8c-4ce0-81d4-f4cff1f037ff","year":2013},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/1209.3140","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:db043a63a839224289a78fd5c36aaa0af7aaa7273b75b0077edf81f34a26a610","observation_id":"640cad79-28c0-46fa-b3fc-6de76a0e0643","resolution":{"observed_at":"2026-06-27T21:31:16.657355Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-11T20:20:29.84465+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T20:20:29.84465+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevb.99.014104","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Drautz, Atomic cluster expansion for accurate and transferable interatomic po- tentials, Phys","venue":"Physical review. B./Physical review. B","work_id":"0fd9dec4-c4fb-4fa7-a4e4-9a2d30399d46","year":2019},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:0082df25a0892a920a80c39b0b1eff0c762e43cc25524974ee261f6fe325743c","observation_id":"3c9d7d2e-9a31-404e-b19a-6fdf0c3db5d7","resolution":{"observed_at":"2026-06-27T21:31:16.659356Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-11T20:20:30.100054+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T20:20:30.100054+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:4236e197ab25461dbda43677cfe1c0351cc1e4664a166ad8414dbcf48d6d399a","observation_id":"fe390f29-a3ca-44a0-8d76-d763fdab7ee3","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.08219","last_updated":"2018-05-18T20:09:34Z","snapshot_observed_at":"2026-07-06T06:24:51.822169Z","submitted_at":"2018-02-22T18:17:31Z","title":"Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds","version":3},"cited_work":{"arxiv_id":"1802.08219","doi":"10.48550/arxiv.1802.08219","metadata_source":"pith","pith_arxiv_id":"1802.08219","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds","venue":"cs.LG","work_id":"f3524378-9b19-478d-b727-18606df1f7ac","year":2018},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/1802.08219","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:aa7a0d4dffe2b20a23d83517530a53c4a0618124a50d80051cbbd36861a38f94","observation_id":"a5775f62-806a-450f-8ba8-441ef42f9013","resolution":{"observed_at":"2026-07-02T19:37:19.021230Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.6459381","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Benjamin Kurt Miller and Wouter Boomsma and Bradley Dice and Kostiantyn Lapchevskyi and Maurice Weiler and Micha","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"336e6647-5021-4e7c-a86a-4f2615c95049","year":2022},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:a6885f97e82f3fe4774fe020a07e149fdc65a0d2e6be8515b320178d0566a4c6","observation_id":"9874874e-0d5c-4fc5-a1a7-36a4a8efe5c3","resolution":{"observed_at":"2026-06-27T21:31:16.661055Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-01T09:38:20.08918+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T09:38:20.08918+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:92d07e37e9f8df8e268305e24fa64c8d3f55ac9a38d375e34ae0f7d42d1ed803","observation_id":"975abe42-8dc5-49f6-add0-da7f11189b3d","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":"2108.07258","doi":"10.1016/j.specom.2008.12.003","metadata_source":"pith","pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"On the Opportunities and Risks of Foundation Models","venue":"cs.LG","work_id":"a18039e9-928d-47c9-a836-32656a71bf71","year":2021},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:481fbeba6aa9cc04cea88757c7a0a91f7b9fb97b438fc5bcded2ffe6936eb98d","observation_id":"982e5f16-ccc2-4279-846b-ea7f53ad5896","resolution":{"observed_at":"2026-07-02T19:37:19.029388Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-05-24T09:22:59.787075+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T09:22:59.787075+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:4430bac7233ff2f410d86fdd88b5c6ae3284de664471e8c9da38c03efdd048d5","observation_id":"fa78e1b9-4b7e-446f-866b-7bd06564fae7","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2510.02259","doi":"10.48550/arxiv.2510.02259","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Transformers discover molecular structure without graph priors","venue":"ArXiv.org","work_id":"fbbff089-0787-41c5-8530-570e718ac5d7","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:63c05a0eb01b685153b2fcd00da6f791656aa5f78f7d8b65625380f4eb58154b","observation_id":"cc90917d-50bb-4600-9252-2199fcb9c1ae","resolution":{"observed_at":"2026-07-02T19:37:19.015959Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T05:20:12.20026+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T05:20:12.20026+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:7285576b40db664922bad3153038ce3c79ce0a8e45fba6e74e4b59778979d8e5","observation_id":"291d2120-43bb-4d0e-9d7a-ed49b6b14187","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41524-024-01486-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mater.10300 URL https://doi.org/10.1038/s41524-024-01486-1","venue":"npj Computational Materials","work_id":"1c8ba8a6-f266-48f4-9f42-1af7797f346e","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:e3083b920ba432dde8ef5c851ed6b54da058ffe9e6e2ba745366a8326f3ddb08","observation_id":"8fb32290-547c-4cd5-b708-d4219240ec08","resolution":{"observed_at":"2026-06-27T21:31:16.842196Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43588-020-00002-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Nature Computational Science","work_id":"eb450728-a94d-4113-b3fe-bfa351b9fbf4","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:63f3aed6b781f41f9ef582e7ac4e40260dfcdc273f27ff9b86fe8195b5746a0f","observation_id":"62a80d22-9670-4c91-a401-0c5c2bc68598","resolution":{"observed_at":"2026-06-27T21:31:16.755732Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/jacs.4c14455","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Journal of the American Chemical Society","work_id":"be8465e4-e066-4bde-b819-fe0f076e2473","year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:2f40ce54b7a296f9a6378fb609491044b420e9520f996ec5eed552b4941c5667","observation_id":"5d831350-ffa2-40af-bd71-e000fb9deb6a","resolution":{"observed_at":"2026-06-27T21:31:16.863348Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T18:20:07.358739+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T18:20:07.358739+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.25380","doi":"10.48550/arxiv.2510.25380","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Elena, Sam Walton Norwood, Thomas Wolf, and Gábor Csányi","venue":"arXiv (Cornell University)","work_id":"724988ce-00cd-43a4-adf8-00be127fcf03","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:1c56134c748772309b19eff4486110e4552c0f87201bb530ca4d0c242b142f7a","observation_id":"0e7b7d5f-74cf-4b8f-a6b9-54e59c2eeea5","resolution":{"observed_at":"2026-07-02T19:37:19.127340Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.10211","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T19:37:18.957757Z","title":"Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials,","venue":null,"work_id":"5c1db141-365f-432b-b86c-0754171e814c","year":2026},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:42b2c2cec04f978f53ec46a71ffa3d9b9ad07f4b8d07455baccc297964528d2b","observation_id":"4a5381e3-76b2-4cda-ae1f-e6dc471ef25a","resolution":{"observed_at":"2026-07-02T19:37:18.959935Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.19674","last_updated":"2025-06-24T14:40:59Z","snapshot_observed_at":"2026-07-06T21:46:57.494653Z","submitted_at":"2025-06-24T14:40:59Z","title":"Massive Atomic Diversity: a compact universal dataset for atomistic machine learning","version":1},"cited_work":{"arxiv_id":"2506.19674","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.19674","snapshot_observed_at":"2026-07-02T19:37:18.960592Z","title":null,"venue":null,"work_id":"feaecbd2-a6a6-4244-97d4-73163240d9f3","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2506.19674","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:1fa97a62338143a93db6c33313e95936efc24c61ccc17355ecdbf6731c4328ec","observation_id":"64738eb9-9969-41a4-af84-e50667222cce","resolution":{"observed_at":"2026-07-02T19:37:18.961957Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2507.07390","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T19:37:19.041741Z","title":null,"venue":null,"work_id":"e31494bd-89ec-439b-b2d9-e87c227eb1c1","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:3f7c1660b967b0c0e8ee49424b0701464109e49dd6a1ea80bb499cccba02bf70","observation_id":"68d5334f-a05e-44e0-9c9c-d537df3053b7","resolution":{"observed_at":"2026-07-02T19:37:19.043105Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.05717","last_updated":"2026-04-17T06:47:13Z","snapshot_observed_at":"2026-07-06T22:37:54.987339Z","submitted_at":"2025-12-05T13:45:01Z","title":"Comparing the latent features of universal machine-learning interatomic potentials","version":3},"cited_work":{"arxiv_id":"2512.05717","doi":null,"metadata_source":"pith","pith_arxiv_id":"2512.05717","snapshot_observed_at":"2026-07-02T19:37:19.207210Z","title":"Comparing the latent features of universal machine-learning interatomic potentials","venue":"physics.chem-ph","work_id":"10388276-2683-4d31-81e0-8dfc72662520","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2512.05717","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:12bc257417f8b8bd68023b2a296b9f5f08aeb29ff81917e76d8c3f692085da23","observation_id":"728ea5f7-7e13-40ec-8fad-b020c8cae851","resolution":{"observed_at":"2026-07-02T19:37:19.208404Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.03750","doi":"10.48550/arxiv.2512.03750","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Univer- sally converging representations of matter across scientific foundation models","venue":"ArXiv.org","work_id":"a01641ee-65fb-46d4-88f5-846de2c20489","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:e74768b5b399fc56b8aeeac2bf3179586f106f0be2efc29bc66ea089fa7884a2","observation_id":"ec9ac342-8049-4066-953f-5f3729435418","resolution":{"observed_at":"2026-07-02T19:37:19.089082Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-06-01T22:57:45.680332+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T22:57:45.680332+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:deca0cae9fa44e1d692aeb4ff8c5c8ad0d1a7a387e4d3f94621dee6fe40df485","observation_id":"92804a00-6f05-4f49-b1be-7da9fe73184f","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:f035b4d671c0aac2a86b8d240ee394cd55d79584718b62f095a4aac56a251930","observation_id":"066ad222-8cb6-4c29-b359-5bc0a9d13882","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-022-29939-5","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T00:57:40.981895Z","title":"Mailoa, Mordechai Kornbluth, Nicola Molinari, Tess E","venue":"Nature Communications","work_id":"f52ce8d5-e753-4360-a60f-60c8faae7c16","year":2022},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:7807ab263d2baf3137ce4f5f977760b57b071b41218bca0dfbeb581a9a8f370f","observation_id":"6818dae9-3633-44b8-8050-c05da2a49fa5","resolution":{"observed_at":"2026-06-27T21:31:16.713916Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-05-30T12:25:16.498485+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-30T12:25:16.498485+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:374a2162912e2416f1e4b63b4e37a3cd627363ef85a1795e2c54d67994bb0f32","observation_id":"a5bb6135-5b21-4a43-ab55-458bc07261df","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevresearch.3.l012002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Physical Review Research","work_id":"ad01a222-22d3-4fd4-9882-07134f960217","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:26df35947d3f74c4e48a0a76d59267b627d7e255b5ef7c945794a6802940c1fd","observation_id":"0e107fce-4ada-4f2b-88cb-ef93e21bd4e6","resolution":{"observed_at":"2026-06-27T21:31:16.857456Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02681","last_updated":"2024-11-14T16:30:13Z","snapshot_observed_at":"2026-07-30T12:52:49.913305Z","submitted_at":"2024-02-05T02:35:11Z","title":"Equivariant Symmetry Breaking Sets","version":3},"cited_work":{"arxiv_id":"2402.02681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.02681","snapshot_observed_at":"2026-07-02T19:37:19.059808Z","title":null,"venue":null,"work_id":"10a7de12-e571-48bd-9a2b-529af97d9659","year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2402.02681","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:c19ccd6f4668680b74eae1e84b64b3849ccd43e2e0824fab81f67ce0a14080aa","observation_id":"48519479-59b9-4d95-8c22-3a8ac2ab6409","resolution":{"observed_at":"2026-07-02T19:37:19.061270Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.20471","last_updated":"2024-12-10T16:40:49Z","snapshot_observed_at":"2026-08-02T05:14:09.889193Z","submitted_at":"2024-07-30T00:16:50Z","title":"Relaxed Equivariant Graph Neural Networks","version":2},"cited_work":{"arxiv_id":"2407.20471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.20471","snapshot_observed_at":"2026-07-02T19:37:19.212387Z","title":null,"venue":null,"work_id":"19e9967e-8cac-41b2-a554-87ba9162bb1e","year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2407.20471","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:a98a94fd24f50d063a2ff07a07912772ea02663e7cecf8d8d3a54333db34d9a6","observation_id":"04d2d1c4-6d1c-4270-8b22-aa84189c526b","resolution":{"observed_at":"2026-07-02T19:37:19.213725Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06231","last_updated":"2025-04-10T18:13:52Z","snapshot_observed_at":"2026-07-06T21:06:17.499947Z","submitted_at":"2025-04-08T17:27:34Z","title":"Orb-v3: atomistic simulation at scale","version":2},"cited_work":{"arxiv_id":"2504.06231","doi":"10.48550/arxiv.2504.06231","metadata_source":"pith","pith_arxiv_id":"2504.06231","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Orb-v3: atomistic simulation at scale","venue":"cond-mat.mtrl-sci","work_id":"1debd30b-5fa7-4547-b284-3119ddca7aef","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2504.06231","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:095ddb1ab9dc0f1e992f24842500e723126b6f92f6a73126966bc3fc4c9853d5","observation_id":"5fd01e31-9014-476d-a682-e7e5d2fbcfb9","resolution":{"observed_at":"2026-07-02T19:37:19.199167Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:8faffb63622dd4e609dd69c14b7206b183f9a18227fa12770a64da20941f4f8a","observation_id":"60b8d0fc-fb40-40e2-a3ed-811009b8aa4d","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:b22bb8e860d3f715f40e9cb3d5ac8248502022696a36131dd1ba0cc401dae917","observation_id":"6727975d-b679-4a50-837e-f00726aecbdb","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41524-025-01650-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mater.11178 URLhttps://doi.org/10.1038/s41524-025-01650-1","venue":"npj Computational Materials","work_id":"a67f1048-5067-48a2-8741-7d18eef9a401","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:b52cb2d55e7f93dd44fd32062fa383362b5ae401cd2ac508a45724c9bbd6dfd6","observation_id":"e8eb349f-b532-434c-b0df-ef07a5e90022","resolution":{"observed_at":"2026-06-27T21:31:16.858876Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.09768","last_updated":"2026-05-05T14:34:08Z","snapshot_observed_at":"2026-08-01T04:00:33.295016Z","submitted_at":"2025-10-10T18:22:00Z","title":"Scaling Laws and Symmetry, Evidence from Neural Force Fields","version":2},"cited_work":{"arxiv_id":"2510.09768","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.09768","snapshot_observed_at":"2026-07-02T19:37:19.199830Z","title":"Scaling Laws and Symmetry, Evidence from Neural Force Fields","venue":"cs.LG","work_id":"0c60334e-aaf2-4826-a222-687fd7d1b844","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2510.09768","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:1a7d1aae12dd5dcaa005048895854824858e41b60b77f7ea17b71ef64958eb4e","observation_id":"971c831b-c02d-4295-809f-e15d04a739d3","resolution":{"observed_at":"2026-07-02T19:37:19.201083Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23179","last_updated":"2025-07-27T09:40:09Z","snapshot_observed_at":"2026-08-05T23:13:37.406899Z","submitted_at":"2024-10-30T16:36:59Z","title":"Does equivariance matter at scale?","version":2},"cited_work":{"arxiv_id":"2410.23179","doi":"10.48550/arxiv.2410.23179","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.23179","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Brehmer, S","venue":"arXiv (Cornell University)","work_id":"449c7cef-3264-4ca5-8b94-5558faef1bc7","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2410.23179","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:588da7185fd82e6fcc2bd0738bc2394ddddc649bcb86b59d88593162a9696454","observation_id":"971cfd72-71bd-44b2-8f14-ac87c1d0d0ee","resolution":{"observed_at":"2026-07-02T19:37:19.174834Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:5f4d45cd938940c5c87594cc94d55fadcc9d9898bfdbbc4f31acaabaedbb28cc","observation_id":"ac52e3d8-1cba-42ae-89b1-6a8c08e74dc3","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2026-07-06T20:54:36.522651Z","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":"2503.14118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-07-03T13:38:19.646875Z","title":"Mazitov, F","venue":null,"work_id":"5c39b153-1a62-4977-b1d3-8a1fc8018c94","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:180b6044f7f7b6d3c22c4888351099ee8c2b82775935c5e889f13c01ef72a6f2","observation_id":"9d3ac425-546d-4882-892f-d33a2a6e3d55","resolution":{"observed_at":"2026-07-02T19:37:19.152793Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.02269","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T19:37:19.142911Z","title":"User-friendly tail bounds for sums of random matrices.Foundations of computational mathematics, 12(4):389–434","venue":null,"work_id":"c7157534-81d6-480c-af97-b32da63662ca","year":2012},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:6a43cc7f7f06adb26a771c1ae74218ce6a8ff6a731195b8ff294c175b46d2524","observation_id":"5717dda7-3878-4ba9-bad3-596aa002cc62","resolution":{"observed_at":"2026-07-02T19:37:19.144531Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":"Accessed 2025-11-10 URLhttps://github.com/NVIDIA/cuEquivariance","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:5962c5698ced39b9ed463b24d6e759c5921e431ba7767a03f7beb1412125287e","observation_id":"0cc86e3c-ef06-41ca-88da-18257b164c3c","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:0dbd8c39f30c65194f0f85eb10e71f0da44df65a830bbcc2db2da21aa4f58efc","observation_id":"811024a0-028f-4c8b-9a9e-2b9d869b21d1","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2026-06-27T21:27:50.941166Z","title":"TorchScript is deprecated; usetorch.export","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:942b06ed54af9a02ead26c346210a4bdf8d9da59ff3f197c45f45e58e2d1de91","observation_id":"047b9519-05f1-4ba7-ba28-78e5631c3216","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2506.02023","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T19:37:19.152940Z","title":"arXiv preprint arXiv:2506.02023 , year=","venue":null,"work_id":"c54a9d11-fb09-40b6-80e9-4b53dccd9355","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:fbe828b571af9c6bca2f4855e3dcdb8bb3c6a04d55fae1091fc6ab82f751655d","observation_id":"2e3b9acf-64a2-4f7b-abbc-10ce9d72ce85","resolution":{"observed_at":"2026-07-02T19:37:19.154256Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":"1711.05101","doi":"10.1137/1.9781611972825.47","metadata_source":"pith","pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decoupled Weight Decay Regularization","venue":"cs.LG","work_id":"07ef7360-d385-4033-83f7-8384a6325204","year":2017},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:76cb6ed97a11bfe4b5cd26be68008dc6a3dbd48d3a6af93365f7a3811b1ce71f","observation_id":"8c860443-1c55-4d0d-82d4-a6640f8ab0c2","resolution":{"observed_at":"2026-07-02T19:37:19.194008Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:236b78a22628bde83f4931e8a5b272ccae83550477be8aca7bab0d85cc28df57","observation_id":"10a56a03-dd6c-4dff-a818-6813bfe81d03","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43588-022-00349-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A universal graph deep learning interatomic potential for the periodic table , volume =","venue":"Nature Computational Science","work_id":"7872ced6-b211-40e2-860b-ac6154581b6b","year":2022},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:fed080546be14d62b8ad13ee225801cfd4a288844d9a4553d4dec88cbe26bee0","observation_id":"871bc920-0086-416d-b59d-d075773fa068","resolution":{"observed_at":"2026-06-27T21:31:16.662585Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T18:20:24.9466+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T18:20:24.9466+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:1db02857eaa210f761b74c1d30fad56ae15b89fe48becee039fb8e8baaf97fdd","observation_id":"47e5858a-b9eb-411d-adc0-c63e46ff8d32","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41524-025-01727-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mater.11 1–11 URLhttps://doi.org/10.1038/s41524-025-01727-x","venue":"npj Computational Materials","work_id":"8843c639-d02a-40dc-87ac-1f8f19fa1f2c","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:6e7ae672f11156179adea65a17eb8572251bb2ebd130b90c70e85c3433a107ef","observation_id":"0fd1854c-4094-45de-9fc1-063de60df891","resolution":{"observed_at":"2026-06-27T21:31:16.664288Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.01590","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T19:37:19.170775Z","title":"arXiv preprint arXiv:2505.01590 , year=","venue":null,"work_id":"e489fa6f-8be0-4e81-aef2-a731d03b8da8","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:de5aec97e0a722bbca5e45f6b5837b0d682bab84066e32db2a69b6d4505db67b","observation_id":"36843814-d822-4c9d-babf-aec00d89dd9e","resolution":{"observed_at":"2026-07-02T19:37:19.172387Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2508.16067","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T19:37:19.142280Z","title":null,"venue":null,"work_id":"881e1294-4b2d-4f8b-afc0-3f6c4813ff70","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:115929da820aecd7392e1f457d33d933aff08f78efc412f30192624c7adf4161","observation_id":"b51f0dc8-5932-4436-ad98-27b5def5fbf7","resolution":{"observed_at":"2026-07-02T19:37:19.143585Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.1815117116","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Engel and Jörg Behler and Christoph Dellago and Michele Ceriotti , title =","venue":"Proceedings of the National Academy of Sciences","work_id":"066aa242-cbc6-4a84-97e5-2843685d2a2b","year":2019},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:4d195b9092f40b3e0d830943f3867be73967129ebb52d2393af69e309b8b850d","observation_id":"5ce819ce-8ce3-4823-9889-ff1cc7d4970c","resolution":{"observed_at":"2026-06-27T21:31:16.831061Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-11T22:20:18.852264+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T22:20:18.852264+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-020-18556-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Commun.114895 URL https://doi.org/10.1038/s41467-020-18556-9","venue":"Nature Communications","work_id":"25496a8b-aaad-478e-b068-28e9cc8a6963","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:1d9501b418566bd4b023cdd0e04c24b06462c1fcf14f3d38dae58ce60d2e8607","observation_id":"e0182b5e-3763-4205-a412-7dfc4d051137","resolution":{"observed_at":"2026-06-27T21:31:16.681552Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2405.04967","doi":"10.48550/arxiv.2405.04967","metadata_source":"pith","pith_arxiv_id":"2405.04967","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures","venue":"cond-mat.mtrl-sci","work_id":"ee6227fe-2fc7-49bc-990c-aae7db05c4a4","year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2405.04967","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:230f7c27fd1469bb74edc2245d07108019c00b7365b61a15e5a82f1ef8b7679c","observation_id":"e959059b-25c9-480b-bffa-a4fcfe5107bf","resolution":{"observed_at":"2026-07-02T19:37:19.141044Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-05-19T23:52:01.523568+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-19T23:52:01.523568+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.101560","doi":"10.1016/j.dark.2024.101560","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2024 , issn =","venue":"Physics of the Dark Universe","work_id":"e5dfca3e-39f9-4789-831f-886a797faa46","year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:2f48eeabb6d4ae5aa70c1d51c67408198f4f3b04270822bb546d564d0719fd54","observation_id":"0f0a7a7f-60cd-4957-9555-62a3be59dc93","resolution":{"observed_at":"2026-06-27T21:31:16.672755Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2410.12771","doi":"10.48550/arxiv.2410.12771","metadata_source":"pith","pith_arxiv_id":"2410.12771","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models","venue":"cond-mat.mtrl-sci","work_id":"22935efd-40fe-48d5-974f-f4c033759df0","year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2410.12771","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:95e71e916ce0ccb1df466865fe33483acf9ee7871c693d91db28bfed902b6fc6","observation_id":"daa1c0ba-4751-4ef8-ba3e-2a2f82ea9181","resolution":{"observed_at":"2026-06-27T21:31:16.829495Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-05-19T23:52:01.050592+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-19T23:52:01.050592+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.04070","doi":"10.48550/arxiv.2503.04070","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Liu , R","venue":"ArXiv.org","work_id":"162801c2-c7fc-4c38-8783-05f47c739db1","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:eccec4dcb0f918a18bb1dde1b7db32482064fcd056e36c0b0bce837bfe3dbd81","observation_id":"1902fd34-7ec7-489a-a4d0-af2420ab555c","resolution":{"observed_at":"2026-06-27T21:31:16.833533Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-13T16:19:37.602449+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T16:19:37.602449+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:55b636a9c9bf5600780425da20fe7567daea4a7edc868f81bb312f9c615256b5","observation_id":"34cf8013-a6f7-41a2-9f10-ebb3cd11c774","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:b553f4f112d5f22470750b56b1b3956a4b7eaafa79ce4cf7ed45286ec09d5f59","observation_id":"084f6d5c-0df3-4daa-9a1b-b2d11308b493","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41524-021-00650-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Choudhary, B","venue":"npj Computational Materials","work_id":"efefc2dd-ec11-46a1-991f-4bc45ed64c6b","year":2021},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:5049c04b0863aade4fde56777b19b927f0fa1d479b3edce97f5888f001e24a42","observation_id":"4779636b-c536-474e-bc6f-9ab48fb05e82","resolution":{"observed_at":"2026-06-27T21:31:16.667324Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-07-11T04:03:03.171052+00:00","source":"paper_reference_links","state":"open"},"event_date":"2022-10-28","event_type":"correction","notice_doi":"10.1038/s41524-022-00913-5","provenance":{"observed_at":"2026-07-11T02:59:00.188458+00:00","source":"crossref","source_record_id":"10.1038/s41524-022-00913-5->10.1038/s41524-021-00650-1:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07610","last_updated":"2024-09-11T20:45:44Z","snapshot_observed_at":"2026-08-04T22:22:01.029826Z","submitted_at":"2024-09-11T20:45:44Z","title":"When More Data Hurts: Optimizing Data Coverage While Mitigating Diversity Induced Underfitting in an Ultra-Fast Machine-Learned Potential","version":1},"cited_work":{"arxiv_id":"2409.07610","doi":"10.48550/arxiv.2409.07610","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.07610","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"8769c2cd-2f09-45a9-9234-5546160ff7fb","year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2409.07610","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:405c75931039fe44dfa6aff4bbb1ef46af18acccc96727ae0de73c3616119abb","observation_id":"3657a728-de6f-4802-ba44-1e1b2e6b1b53","resolution":{"observed_at":"2026-06-27T21:31:16.875234Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.02292","last_updated":"2019-12-04T22:47:31Z","snapshot_observed_at":"2026-07-06T08:42:09.483153Z","submitted_at":"2019-12-04T22:47:31Z","title":"Deep Double Descent: Where Bigger Models and More Data Hurt","version":1},"cited_work":{"arxiv_id":"1912.02292","doi":"10.48550/arxiv.1912.02292","metadata_source":"arxiv_reference","pith_arxiv_id":"1912.02292","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"International Conference on Learning Representations (ICLR) , year =","venue":null,"work_id":"145aa003-0690-44ba-8b20-fc6ba4a3e4a0","year":1912},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/1912.02292","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:6f8b9d5180a8e814f8c67830d65d3b19b68955c7d8dc42bde2d736823a0888c2","observation_id":"3a626ac6-ea5f-4177-924e-cdffa025c620","resolution":{"observed_at":"2026-06-27T21:31:16.825321Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-07-06T08:52:12.656082Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":"2001.08361","doi":"10.1145/3616855.3635845","metadata_source":"pith","pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Neural Language Models","venue":"cs.LG","work_id":"b7dd8749-9c45-4977-ab9b-64478dce1ae8","year":2020},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:61d39d2257f8c05f7a0ea215331673e391af838dd67c672f3f17ea2cd12f0f1b","observation_id":"ef66ac4d-795e-410b-a81c-98570e9f7091","resolution":{"observed_at":"2026-07-02T19:37:19.076048Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s42256-023-00740-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Nature Machine Intelligence","work_id":"6303ad2c-dc16-485c-8fb1-d759a55efe49","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:f9413d18ff8f2745d053a17b513b953cc7d8aa7ee63a18e649bc8c8c7907d485","observation_id":"7fb50074-166d-4ac9-a512-01229dd4aaa3","resolution":{"observed_at":"2026-06-27T21:31:16.872954Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.19774","doi":"10.48550/arxiv.2510.19774","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"How accurate are dft forces? unexpectedly large uncertainties in molecular datasets","venue":"ArXiv.org","work_id":"f3c0c082-0f7b-42a1-b1ff-661a1fca0dee","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:1edfabf38f682b81bcb02c0cf869bd237067f9d6b8a2f55a0aae9a488bcca501","observation_id":"67069e94-527d-433b-a36c-cb55ea3e80e9","resolution":{"observed_at":"2026-06-27T21:31:16.670274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T05:20:09.826785+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T05:20:09.826785+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.77.3865","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T15:57:20.666935Z","title":"and Burke, Kieron and Ernzerhof, Matthias , month = oct, year =","venue":"Physical Review Letters","work_id":"6c507f87-3543-449a-b6ee-8de94abe223e","year":1996},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:9d2cab1625b4ddff3d63703d8d25bf2573b881bcc5c03a3fd84cac1638724080","observation_id":"0a7b4573-b00a-401d-a2fe-3cf4b40fd3af","resolution":{"observed_at":"2026-06-27T21:31:16.822910Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-18T03:51:01.589787+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-18T03:51:01.589787+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acsenergylett.8b01212","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"ACS Energy Letters","work_id":"48cd869a-960b-4d5d-a541-a5bb5c13577a","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:e509abb5b04e953d711f86e3abe4d41095fa3d9c2e7f96263d41467ea5c96f55","observation_id":"32b8437d-1e19-4732-9974-e5cf7a4cc36e","resolution":{"observed_at":"2026-06-27T21:31:16.826971Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.5027619","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Journal of Applied Physics","work_id":"2cfcd08c-ba70-415c-b838-e4769e79c5cf","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:b609a76a235a9253cfe0453579b5a391552079411d01856f84dc978288c20fc5","observation_id":"dbbefa88-1940-4d13-bbbd-abf5f0fb2fdc","resolution":{"observed_at":"2026-06-27T21:31:16.835140Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/j100096a001","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Stephens, F.J","venue":"The Journal of Physical Chemistry","work_id":"d09adb78-103d-459b-bab9-83ecea54ee7f","year":1994},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:c6731ea2726f143b1e8087e6d880fba298d471ee41f941cbe17ceb5ebbcbe3be","observation_id":"a56024be-8855-4772-ae55-1fab9dbe7e6d","resolution":{"observed_at":"2026-06-27T21:31:16.843704Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T19:19:23.765452+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T19:19:23.765452+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.2404663/13263224/224106_1_online.pdf","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T21:31:16.863824Z","title":null,"venue":null,"work_id":"bf5e91a4-f78d-4390-8eec-972adec85eba","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:adb10f681e2cb30ad3c3956187c62d0179877bf5b06bd5d93669e9e3ecbf1899","observation_id":"3e49db84-f406-4b41-85d5-b7aa8c1ac9b0","resolution":{"observed_at":"2026-06-27T21:31:16.864743Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:93a06a75d4eb78cef1bca36072eff7fb92f38d9da0ca3a6f321a5d10e6c0fda7","observation_id":"ba2d5bdf-43fc-41d6-acd5-c2a44798acfe","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2026-07-06T20:38:06.085744Z","submitted_at":"2025-02-17T18:57:32Z","title":"Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction","version":2},"cited_work":{"arxiv_id":"2502.12147","doi":"10.48550/arxiv.2502.12147","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.12147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Wood, Luis Barroso-Luque, Daniel S","venue":"ArXiv.org","work_id":"f9e076b9-c8f0-4699-8e28-83d01b214b7c","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2502.12147","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:37592b6dc2634c4422111e147662c60378b384008a2cfc70b77218391c38b056","observation_id":"191ec742-92c9-49a9-bf76-5b3eb30e566c","resolution":{"observed_at":"2026-06-27T21:31:16.869822Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41524-025-01550-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mater.11URL https://doi.org/10.1038/s41524-025-01550-4","venue":"npj Computational Materials","work_id":"69b35845-3bbd-4faa-88bf-4666b5b08305","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:97163a2605b6f19c7964ed84837ec4c5570bf83b06b9f369d3dec7926b89e10b","observation_id":"5e62fea5-2d79-41d4-be40-404b3e32818f","resolution":{"observed_at":"2026-06-27T21:31:16.871424Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/2632-2153/ae0d41","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learn.: Sci","venue":"Machine Learning Science and Technology","work_id":"6f2d2dc6-f215-4296-8e12-521736dcb75f","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:99a74a653480ead234d28db274fcc0f50ca2fde085e4f3b078fd1e29186a4142","observation_id":"24e1e125-032f-4209-abd8-a30b1aefb936","resolution":{"observed_at":"2026-06-27T21:31:16.680024Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2057},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:ee83c1203e140631e32223488877bbdd28266c260b7383d48e7daf5bb32dc653","observation_id":"77491a41-ceee-4211-8cd2-ba78a934f5d6","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.76.3168","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kohn ,\\ title title Density functional and density matrix method scaling linearly with the number of atoms , \\ https://doi.org/10.1103/PhysRevLett.76.3168 journal journal Phys","venue":"Physical Review Letters","work_id":"679c1499-7424-45de-a9fb-880190e52268","year":1996},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:3c30d15a2f207b8311ba12b0a8dd123be3e5435f354f274899f467c84403b1c5","observation_id":"925f6c6d-2d33-41bb-8d98-713cb70371e0","resolution":{"observed_at":"2026-06-27T21:31:16.674904Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.0505436102","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Prodan \\ and\\ author W","venue":"Proceedings of the National Academy of Sciences","work_id":"3a2ed135-5d03-4f8b-a97b-7f6d95998d3c","year":2005},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:1169303a3fb0419a625b73939ea3d5eabc9a04ca8e0448e9b604a3beb8322c8f","observation_id":"74b48d34-3bab-453a-bc25-27206c18fd44","resolution":{"observed_at":"2026-06-27T21:31:16.814683Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.5128375","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Grisafi \\ and\\ author M","venue":"The Journal of Chemical Physics","work_id":"5f10e483-c0d2-4b78-8753-25e694f52115","year":2019},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:edece02b91afcca95281f95400a328578e6167a292a5398fc658f1a3871b97a3","observation_id":"57aee116-2902-47cb-beef-5700b1fa5d57","resolution":{"observed_at":"2026-06-27T21:31:16.816275Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/5.0031215","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"The Journal of Chemical Physics","work_id":"d17f6604-2f46-4357-8c77-2818e1187f34","year":2021},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:37e65b1da06837c8b00a33444ac7c5556b31fa08186703695099ea8e7b5fae08","observation_id":"a9441271-6ce0-4a06-a944-c7439892369d","resolution":{"observed_at":"2026-06-27T21:31:16.867522Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acs.jctc.2c01146","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Journal of Chemical Theory and Computation","work_id":"34897a27-af00-4261-b28a-2b6fcc132c2b","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:f1ffbdad0f215d0ee90a05127b8a52db79d326c7f61984941f2be22acb3d0e2e","observation_id":"966e729d-8cb9-4605-9f8c-26fab7cbf39c","resolution":{"observed_at":"2026-06-27T21:31:16.866133Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acs.accounts.0c00689","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finkler, Stefan Goedecker, and Jörg Behler","venue":"Accounts of Chemical Research","work_id":"f10d2bda-54d3-49f3-98f2-981192f1db20","year":2021},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:90b12a20a8a09ea373e4376c2c3ea420ce52600ae886119cb07b6078a5d29fcf","observation_id":"6ab47ec4-ea46-4bb4-9905-a8702aecc8ff","resolution":{"observed_at":"2026-06-27T21:31:16.811471Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acsaem.1c02363","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Energy Mater.412562–12569 URLhttps://doi.org/10.1021/acsaem.1c02363","venue":"ACS Applied Energy Materials","work_id":"d826a200-c3ec-4c1e-94ba-f7a904fd2b64","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:0fb3e53a3094497353fd0b2ac5baae2cdb0f6ef13ea38837db4adf435a9c0e55","observation_id":"1574bf08-5edc-4f5d-b181-93460166cb74","resolution":{"observed_at":"2026-06-27T21:31:16.678480Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:11c932a3a6a4cdc3fb8484c8c7f78c151fa055f217acb0913764048f09ad93ba","observation_id":"002f321c-2849-4ecf-9f6d-e721b5722dce","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/5.0067565","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"The Journal of Chemical Physics","work_id":"5fea9513-383c-42d9-9129-85a5c99f5cb3","year":2021},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:51e11a3e48db25aab38b02a63dd4c68387d63159948a2a4d0df4ad737de7a5fa","observation_id":"c2a096da-7317-406f-b4ed-2d39df30e06f","resolution":{"observed_at":"2026-06-27T21:31:16.676752Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/jp056344z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"The Journal of Physical Chemistry B","work_id":"09ba2237-3008-4604-b246-5502dc4a79c9","year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:4cf39dd10fd1d2f5d24b0aa5a2d91e6c64e65dfaea5d064d761f54e21753c792","observation_id":"e4fe6009-56db-405a-98a2-73e121747b0d","resolution":{"observed_at":"2026-06-27T21:31:16.809874Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2507.19382","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T19:37:19.176948Z","title":"Rumiantsev, M","venue":null,"work_id":"e460a32b-d5b6-4d66-850e-b0a955492a88","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:d2d02dbfbe5b93e05138882df453da3f3eb3c0e7f64a2837746131ee7212c0dc","observation_id":"1cb20e99-bd69-414a-848d-4ad9ac9cc7e9","resolution":{"observed_at":"2026-07-02T19:37:19.178395Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-021-27504-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unke, Stefan Chmiela, Michael Gastegger, Kristof T","venue":"Nature Communications","work_id":"f5939740-aee2-4041-94e7-1930e31e2ea3","year":2022},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:46bbffdb19d17410b24487480129ff15ea11180ffe9017232383154294ef8dc7","observation_id":"d11e8058-ce68-4e67-a3ce-29d338cc949c","resolution":{"observed_at":"2026-06-27T21:31:16.813006Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-05-20T20:24:39.986765+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T20:24:39.986765+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:e541e1aabf842df1d93b35a2723eebceef1222cf4e92b43a0e80154574044afb","observation_id":"50c82254-d0b2-4513-bed4-a24c9ab9f6c7","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","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":"2026-06-27T21:27:50.941166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:0708762aec3b49ca02f0575453beed28c76723632264c3588d38bdfffce4c08a","observation_id":"0945da52-4c85-4e21-9c8e-2d63ff505687","resolution":{"observed_at":"2026-06-27T21:27:50.941166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14276","last_updated":"2023-01-09T13:38:04Z","snapshot_observed_at":"2026-07-06T13:14:52.308302Z","submitted_at":"2022-05-28T00:01:30Z","title":"So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems","version":3},"cited_work":{"arxiv_id":"2205.14276","doi":"10.48550/arxiv.2205.14276","metadata_source":"arxiv_reference","pith_arxiv_id":"2205.14276","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"T., Unke, O","venue":"arXiv (Cornell University)","work_id":"8303908d-7707-4407-b441-943214fd51e2","year":2023},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2205.14276","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:bef7fc8748ec7b8b36a760533feff7d41eaa6e10a3b27fb940f30678ed44f3f2","observation_id":"c05ef8a6-d3e5-403a-a9e4-59091385fdc0","resolution":{"observed_at":"2026-07-02T19:37:19.196570Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10434","last_updated":"2024-01-30T11:10:00Z","snapshot_observed_at":"2026-07-06T16:33:47.711411Z","submitted_at":"2023-10-16T14:17:00Z","title":"Equivariant Matrix Function Neural Networks","version":2},"cited_work":{"arxiv_id":"2310.10434","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.10434","snapshot_observed_at":"2026-07-02T19:37:19.115296Z","title":null,"venue":null,"work_id":"1a5a7ff5-3786-44e2-9037-46b674f478ea","year":2024},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2310.10434","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:c6b2ff5010a8567df2b67822420ddd231a2b3fbcf95fc7990d23b29b0e879c14","observation_id":"45402d9c-455a-4059-9301-c1ab0728d22c","resolution":{"observed_at":"2026-07-02T19:37:19.116541Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/pssb.201046289","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Physica Status Solidi (B) , author =","venue":"physica status solidi (b)","work_id":"306ef724-1a74-4edf-b31d-786db9b03d2e","year":2011},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:ff4f3138298c72abb7f66cdc5d8a5f2b13db625ab736a3b030e5dc6398f527a3","observation_id":"897e8d76-433e-49dc-b13d-e928e8181d0f","resolution":{"observed_at":"2026-06-27T21:31:16.817934Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/revmodphys.82.1887","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Reviews of Modern Physics","work_id":"7447a326-0cea-44cc-b7ce-b2ea6572c760","year":1944},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:33170941da8da52623aa08c4b46d1276c6303f7d54ec21c2d142a82b98365c89","observation_id":"3b5d05c3-b606-4dbd-a036-e067a8b2af01","resolution":{"observed_at":"2026-06-27T21:31:16.699568Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/revmodphys.66.899","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Resta, Macroscopic polarization in crystalline dielectrics: the geometric phase approach, Rev","venue":"Reviews of Modern Physics","work_id":"7b568559-1085-4643-af73-9f86b17affad","year":1994},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:4306f8966ff52e7681be34a0136aea147f9a46e894da12069134615ad292ddea","observation_id":"0560c4a3-0111-4291-8204-48ef336d27b4","resolution":{"observed_at":"2026-06-27T21:31:16.697553Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevb.55.10355","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gonze \\ and\\ author C","venue":"Physical review. B, Condensed matter","work_id":"212779b6-60ea-4b9e-be05-eb5630e62311","year":1997},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:802eb169b69e9986dab2f312b2d074ee247e48a3787c63e060f5c0394c38fb27","observation_id":"99a9f402-df64-43d0-aaac-53ee784427ec","resolution":{"observed_at":"2026-06-27T21:31:16.802341Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","latest_version":2,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":22,"verified_exact":74,"verified_fuzzy":0},"total_outbound_references":268},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 100 of 268 outbound references and 2 inbound Pith citation observations for arXiv:2606.07327."}