{"as_of":"2026-08-08T21:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:392190a597bd007daeac5a4e682c932c2cc196009d2262a2738f9547ec51c2e2","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-10T19:17:14.685813Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.07339/citation-record","integrity":"/paper/2607.07339/integrity","json":"/paper/2607.07339/citation-record.json","paper":"/paper/2607.07339"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.832866Z","title":"Hohenberg and W","venue":null,"work_id":"e4235943-81ba-41b3-a2de-9ff9f8424087","year":1964},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:3139ab07d6ae286ceaaa211832edadeeb531f3a0272b98a1b3c6d5cac7dc0e99","observation_id":"6178df84-0496-42d0-89d8-14a2bd27199e","resolution":{"observed_at":"2026-07-10T19:17:31.840964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.724583Z","title":"Kohn and L","venue":null,"work_id":"d9bc2529-5f25-4587-b4e8-342a454d776d","year":1965},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:95c84c272fda9c3c215cf90906c54170cb286db6adc59714d429dc2238d85077","observation_id":"d3c0c798-5c20-48df-a423-c5347650d312","resolution":{"observed_at":"2026-07-10T19:17:31.725908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.027549Z","title":null,"venue":null,"work_id":"c67bfa01-168b-4c56-8038-8f27ed92153c","year":2018},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:90743b46ba9713dec3962c70c488cfb6b13135b8a4d3fccf91c5c1d1bea063c2","observation_id":"bc0ad3f4-75ec-488b-b62a-15bd917a8387","resolution":{"observed_at":"2026-07-10T19:17:32.033713Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.907982Z","title":"Schmidt, M","venue":null,"work_id":"7eb88ae3-3988-467d-b46e-5989c6e6d36f","year":2019},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:888091c428933f4067b7f533aa0527eb0e5d89da8e9933ef79995e9000837288","observation_id":"2e54da25-c5e6-4030-8e00-bf0ae6d26ae8","resolution":{"observed_at":"2026-07-10T19:17:31.915302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.928764Z","title":null,"venue":null,"work_id":"298aecf9-e29b-4899-937f-3b0ef2ede97d","year":2018},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:2ddf712de6d1935b7023a9b19a2295db5bf550e85ff7bfc463ede06e4358232c","observation_id":"4b1809a0-848f-44ac-939b-7247e3679b6b","resolution":{"observed_at":"2026-07-10T19:17:31.937307Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.943192Z","title":null,"venue":null,"work_id":"7641b125-3f5c-4f9a-bc8b-189090486bbb","year":2024},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:e432f756c7e9bbf3d10795b288788f15c38548f38c086c439641ac386e8bb6f6","observation_id":"751067b4-5f7b-4412-af85-d7576551c067","resolution":{"observed_at":"2026-07-10T19:17:31.955381Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.956687Z","title":"Xie and J","venue":null,"work_id":"d45f8a5e-0610-47f2-aa03-e56eee75e07f","year":2018},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:f0069381f5878234c51c2d56e46277cb5a5915a3190aa735eff1824dd7569542","observation_id":"35248090-21af-4b81-8295-c8907f01a92b","resolution":{"observed_at":"2026-07-10T19:17:31.964092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.03123","last_updated":"2022-04-05T11:39:42Z","snapshot_observed_at":"2026-08-07T13:05:26.680896Z","submitted_at":"2020-03-06T10:30:17Z","title":"Directional Message Passing for Molecular Graphs","version":2},"cited_work":{"arxiv_id":"2003.03123","doi":"10.48550/arxiv.2003.03123","metadata_source":"pith","pith_arxiv_id":"2003.03123","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Directional","venue":"cs.LG","work_id":"d6ab8a7d-c740-4eb0-a1f4-6095f0ce5226","year":2020},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"cited_paper":"/paper/2003.03123","citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:f6b35194351f0c910d7ee181bd52f823005282dd6254ef0f90ffe26627475d98","observation_id":"22faaad4-7bff-41e2-821b-a5010d277a24","resolution":{"observed_at":"2026-07-10T19:17:31.424772Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.052529Z","title":"Choudhary and B","venue":null,"work_id":"304f816d-8db9-46b8-9cfe-f54350cd5aa7","year":2021},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:1515cd7aee55969297a49e5a6724cabe9d47e01ceb5d2db6ab44e8d1a2e1dc55","observation_id":"44fd1722-f3e9-4018-a364-b9258d91ce4d","resolution":{"observed_at":"2026-07-10T19:17:32.063986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.890128Z","title":"Batzner, A","venue":null,"work_id":"6fbff7bb-f882-463c-b039-608f9e24445c","year":2022},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:34a46fc736275b06a093d7edc9ec289210fc34335f2fcfaa386740a55c7f1a56","observation_id":"61012e00-2fbf-4d11-9b6e-0f0911079910","resolution":{"observed_at":"2026-07-10T19:17:31.904187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.729224Z","title":"Batatia, D","venue":null,"work_id":"67f850d9-60ea-4223-ae67-ab71173dfb56","year":2022},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:5fe5b57784f10d26e4d1b70cf14e80dcb92c0cf3a79bae93bf81940b88bb46de","observation_id":"09b229a5-e4ae-46e6-8662-d652b866366c","resolution":{"observed_at":"2026-07-10T19:17:31.730407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.711513Z","title":"Schütt, O","venue":null,"work_id":"ff22234a-3fd0-426d-89e7-668f5fce7edc","year":2021},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:9e8f9533825ba3cfd7323098cd709dc61347cbeb644ee0ddc7373a06b26c095a","observation_id":"d2e97ff5-11be-47f2-9d54-89ce39d4ebcd","resolution":{"observed_at":"2026-07-10T19:17:31.712863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.783480Z","title":null,"venue":null,"work_id":"095eff6e-8fb8-4889-8bc9-31164b1ef86a","year":2019},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:725ebdea1404d3bb55a63f78695565b6b0b7eb1b8f5372078b8ac1e1cbc22c3c","observation_id":"cea36cd1-2fcd-4ea9-b787-c8866dc3828e","resolution":{"observed_at":"2026-07-10T19:17:31.804055Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.118927Z","title":null,"venue":null,"work_id":"34867d6f-fcbb-400a-8081-8d3771a763f6","year":2026},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:bdc87b5e1855e2ed04480fa292bfd13b68372e05b85cb947996bc156cd168a30","observation_id":"15c1e188-1160-445c-aa26-8887b3580dae","resolution":{"observed_at":"2026-07-10T19:17:32.121748Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.910173Z","title":"Kresse and J","venue":null,"work_id":"7320aa42-539d-41b7-b535-917e626eacb8","year":1996},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:b81ae752b11a3e3cb5f83e844d60c5fb0b6a69b8674773859213911f92888471","observation_id":"b5043903-e56f-4fb7-86ac-f1610ad68f92","resolution":{"observed_at":"2026-07-10T19:17:31.915831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.711266Z","title":"Kresse and J","venue":null,"work_id":"36cc4cf6-540c-4c5a-a454-64dd8a6401a6","year":1996},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:53901f7796eeacdcbb86315e663e2485165fcf4e382d1b0fcfd8f45e0c1e6916","observation_id":"f385c370-e9b9-4727-868b-950d4e4265e8","resolution":{"observed_at":"2026-07-10T19:17:31.712667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.860183Z","title":"Cavignac, J","venue":null,"work_id":"65b6f337-8b34-436c-a640-e59cfab87ac0","year":2026},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:3f6cffc2e9ad50bb667db9dd2776b00e245e22f5d6e7f60c38c432ee3ccf13cb","observation_id":"cc7e0a73-0b21-4a9b-855a-db68d2778f21","resolution":{"observed_at":"2026-07-10T19:17:31.868275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.030981Z","title":null,"venue":null,"work_id":"7a2d4179-92d1-4ad5-acf5-0795bcc15fcd","year":2026},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:f8879f92fc792f93d33823b82e0643e4e280c3a628f2f5d1ebd16a59ab21832e","observation_id":"5d95423d-3255-4d53-ae9e-2ffe0a20e7aa","resolution":{"observed_at":"2026-07-10T19:17:32.040549Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.729008Z","title":null,"venue":null,"work_id":"b82c575f-1708-42f1-a41a-38db5f6b72a8","year":2093},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:934f7c17d925a66f5458a754237af6c605da88344e1fdfc8fed8b8575a438d69","observation_id":"b2aeafbc-628c-4ead-b2f8-c2f74964fbf7","resolution":{"observed_at":"2026-07-10T19:17:31.730222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.878899Z","title":null,"venue":null,"work_id":"28fc9f9b-ba9c-4de8-ba3a-75a20fcd291b","year":2011},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:d70f11593fc74cd49d3c7f8ed4d5481f00d41d46f052989f1345f50b1ba1d4c5","observation_id":"3b161138-9250-4d5a-af5f-8dc75ce7d106","resolution":{"observed_at":"2026-07-10T19:17:31.902548Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.809486Z","title":"Trinquet, M","venue":null,"work_id":"13207221-7bab-4fd3-81a6-5151cc5b042d","year":2025},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:ce1c8b19c0dae4701788e45ebdd004db2a7e5030576d601e5a0d3135c9633a44","observation_id":"149ea232-d41b-4f20-8eb7-946e9f756dbe","resolution":{"observed_at":"2026-07-10T19:17:31.824847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.835995Z","title":"Akiba, S","venue":null,"work_id":"62f14543-e698-4a96-a77b-614800c16adf","year":2019},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:aa64ee731d3739839ad7e69bb45f5f3d60463d317af4032a5bfc3a403f8befcc","observation_id":"99f9d1a9-e68d-47fa-bb63-0da4b402b124","resolution":{"observed_at":"2026-07-10T19:17:31.858331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.717723Z","title":"Nagamatsu, N","venue":null,"work_id":"ca8a98b3-62d6-45bb-be2e-90210b638151","year":2001},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:2d737b2bedbb8dac97d13e670137c484f6c96b42b173ee22da7e66f51d6dc6ad","observation_id":"a0f774a3-6fc2-4c1f-9feb-2255f347b68a","resolution":{"observed_at":"2026-07-10T19:17:31.718980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.713381Z","title":null,"venue":null,"work_id":"822f0f2a-9431-4dac-82f5-27746928e1ef","year":2001},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:d00a632c96975965055f5f92fa79a7696123168c5d139dd5c0305f6f63271268","observation_id":"a9239a62-c583-442b-acb1-69b28af92aac","resolution":{"observed_at":"2026-07-10T19:17:31.714682Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.715727Z","title":null,"venue":null,"work_id":"97230542-d151-4adc-a68f-1366d14ea63d","year":2024},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:09619bb5e3daaecd16e81d5915248f576a7693ec108cc9c1af669cfd05bedb82","observation_id":"17e4287c-3b8e-4646-9bf1-6c4107672b5e","resolution":{"observed_at":"2026-07-10T19:17:31.717045Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.959041Z","title":null,"venue":null,"work_id":"c84cc493-de70-4c80-8dc6-d4f2fff7456f","year":1954},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:cfe2debd5b40e7fecd3148a0fdb0d6e718f0ca585d2b8055588d7d1abb21fd38","observation_id":"1b125643-2fbc-4226-b3a1-3b095e213234","resolution":{"observed_at":"2026-07-10T19:17:31.964737Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.984172Z","title":"Labbé, Relation between superconductivity and lattice instability in theβ-W compounds, Phys","venue":null,"work_id":"8b1fb418-b34b-420a-8ba3-de04d3d19556","year":1968},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:c42797d61349024a958a934ddffa228aa7f21dac85df90e96bf5e3fe7813f11a","observation_id":"27a63adf-598c-4c4d-84f2-bfa890246f38","resolution":{"observed_at":"2026-07-10T19:17:31.991055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.863892Z","title":"Cucciari and L","venue":null,"work_id":"001825d7-f479-40bd-801a-1898b44bf50d","year":2026},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:7cdb5c12b7da12725a616efaa2b0fa0be9811cdd77ca612bd29663806618b57e","observation_id":"b583060b-f8d6-48b9-be73-ab1fbbb8607d","resolution":{"observed_at":"2026-07-10T19:17:31.874539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.717515Z","title":null,"venue":null,"work_id":"47beefcf-f4da-4eee-874f-2bf00b47468a","year":1967},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:3527a9b5fcc88e61064d43f7b0130ff4570b243de21573a22baa0db681352a38","observation_id":"a45d51f6-f131-4df4-b838-b8e3a766e716","resolution":{"observed_at":"2026-07-10T19:17:31.718687Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.015156Z","title":"Shang, J","venue":null,"work_id":"75090048-27fe-4de2-bce8-1cc18a0715f6","year":2020},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:c381b86ca1b92fc89135656b89fa54324b07a2ac3b93c5e5559730f72fd9f373","observation_id":"ae5a6099-0ad5-4965-acf9-a7aa3fcb11f3","resolution":{"observed_at":"2026-07-10T19:17:32.026823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.100530Z","title":null,"venue":null,"work_id":"b62a330f-b671-40e5-8b4c-129b8420832f","year":2002},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:1b0545b1d3b5eb2ca7765c2caabee2beddcd66e3eebf0b25bf45ef0c6e890b6c","observation_id":"bbe491ed-b34d-490f-82d2-98a7eb8a54e8","resolution":{"observed_at":"2026-07-10T19:17:32.113208Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.970636Z","title":"García, N","venue":null,"work_id":"687564d0-283c-4f2b-947a-4bd6ca93afc8","year":2020},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:5b97bb39f90fc1d22f637728a59430f53eb65b0677a7fc77af3d6ef8b91fbda0","observation_id":"eb9060ea-0992-49d1-a9e0-5be41af44c38","resolution":{"observed_at":"2026-07-10T19:17:31.977287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.999713Z","title":null,"venue":null,"work_id":"506318bf-c9fd-482e-b1eb-f0da0fd9eb30","year":1996},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:f28657bd087a6d5730b5491d3e39c34d0f06e7f59a0378894cb14544f576225f","observation_id":"be9e2106-b000-454c-a120-f4efca7d71c0","resolution":{"observed_at":"2026-07-10T19:17:32.010510Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.056794Z","title":null,"venue":null,"work_id":"4d3003b4-53e0-4177-ba3c-b470d67d3a06","year":2021},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:43578e806c263fac777b4145f26e291435268c50a85373df7d911fa189140588","observation_id":"61178d49-a933-415c-943e-ae23ed205fc5","resolution":{"observed_at":"2026-07-10T19:17:32.068043Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.722923Z","title":"Liechtenstein, M","venue":null,"work_id":"9a53e589-b96f-41e1-a833-446cc79c25e7","year":1987},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:8be4d24d62760e366027db94f1465acf366c6b9f05b8093b1ba8074d9decbdbe","observation_id":"63011bbe-83a5-44b9-858a-848a31ee307b","resolution":{"observed_at":"2026-07-10T19:17:31.724020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.085906Z","title":null,"venue":null,"work_id":"f2aba963-5ce7-4c59-9346-83124cfd02e0","year":2011},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:01ce47c5f25ed9a407f95f6ac3c6e0297ad0bf9df4a652ced1a3a868355af22e","observation_id":"a70111fc-9d38-432d-92d9-a0f4d04bf590","resolution":{"observed_at":"2026-07-10T19:17:32.090905Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.967110Z","title":null,"venue":null,"work_id":"c1d6d0a7-8ca9-4f29-afdc-1e904e6faf1d","year":2025},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:60ec2671063e62824f63462107494cf3cad8520d8b06edf1429bdb2432cc101e","observation_id":"6f917ab9-2875-4177-84a2-a2fbeb61f892","resolution":{"observed_at":"2026-07-10T19:17:31.976282Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:31.996133Z","title":"Sommer, R","venue":null,"work_id":"4101bd49-556b-4954-a149-ce501451e901","year":2023},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:5d41bf63453d5e4da489877ef0b2c4e2ed2d5d0c0b6c2427f186a11a50fc3241","observation_id":"e6e64416-c576-437b-9fea-c50c4dab6f28","resolution":{"observed_at":"2026-07-10T19:17:32.009745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T19:17:32.041239Z","title":"Petousis, D","venue":null,"work_id":"00bf6126-42d6-4799-a336-4d8cd565c0c8","year":2017},"citing_paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-10T19:17:14.685813Z"},"links":{"citing_paper":"/paper/2607.07339"},"observation_digest":"sha256:ea779f6fd778cd54072433f37c47660845a31f0bbd7867e6217abe35714a9480","observation_id":"2bbc0824-63b7-4c4f-97d4-a9253f2d88fa","resolution":{"observed_at":"2026-07-10T19:17:32.051666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.07339","last_updated":"2026-07-08T12:28:37Z","latest_version":1,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-08-07T04:24:30.384480Z","submitted_at":"2026-07-08T12:28:37Z","title":"Machine Learning Materials Properties by Encoding Orbital-Projected Density of States"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":39},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.07339."}