{"as_of":"2026-08-14T06:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:37dedf53114b7e207bdb97c7688a3ec46691185aae75b27942281fac9578a6c3","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:32:36.019793Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2505.18571/citation-record","integrity":"/paper/2505.18571/integrity","json":"/paper/2505.18571/citation-record.json","paper":"/paper/2505.18571"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:32.488273Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:32.488273Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:cd773bf974f674bcc4bb40759719fe96a5205148d147cf2b22872d3b04af3579","observation_id":"b8b7cf26-26b3-45f3-804b-c4265a09310c","resolution":{"observed_at":"2026-08-07T14:32:32.488273Z","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/s41578-019-0165-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Nature Reviews Materials","work_id":"d036c555-5574-46ac-9776-8fa9b30c54f3","year":2020},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:32.632727Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:218a3758ffcbe1fe8133106c5799bb55839ae51fefce4658c257680a0ae608a6","observation_id":"dd64e8f3-08cf-43d0-a638-ca6d68fe20b4","resolution":{"observed_at":"2026-08-07T14:32:39.533473Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:32.707379Z","title":"Gao, A.M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:32.707379Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:417bd2222bd9eed03ab86e7ca0c94f9b17e0652a680281e230f34dc411f67684","observation_id":"a8f987f2-6956-4048-9555-56fa750dbc68","resolution":{"observed_at":"2026-08-07T14:32:32.707379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:32.786694Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:32.786694Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:b6af183c8fff854f4d86df7fb6631c8ef3a7fccec3d7bc6ac8329c80c6cade85","observation_id":"710a9e1b-4102-4c15-8cf8-a0d29a04d8e5","resolution":{"observed_at":"2026-08-07T14:32:32.786694Z","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":"10.1039/c4ee03389b","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Energy & Environmental Science","work_id":"b650802d-57b5-4d11-88dc-64456008d1e9","year":2015},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:32.863400Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:97e650fcf69f9b89e7e532a65a4a3e4cb4cedcb53f58d8a8b73a1c908db211b7","observation_id":"2520eecc-40cd-4d8f-a44d-114cd1c1c1cb","resolution":{"observed_at":"2026-08-07T14:32:39.225311Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1039/c1ee01782a","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Ong, V .L","venue":"Energy & Environmental Science","work_id":"b3147fbe-3233-4087-8a05-a7cc33a7392b","year":2011},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:32.952969Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:0290f291ffe0e77e4e9fc5f6fb579b7b75f86df7d08a3e0bf8eb3bbf5113bd70","observation_id":"4d490a2b-0c00-4458-8f73-b7a553ac64e0","resolution":{"observed_at":"2026-08-07T14:32:38.924104Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acs.nanolett.7b01389","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Nano Letters","work_id":"cd2cd34e-72c1-45de-91e6-4e5324849f0c","year":2017},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.012702Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:1b15fb0cbaa437817acb66cbdbfcf1a242cd557b1450bf3d78c998d8a403a0bf","observation_id":"d15f6a90-bed2-48b5-956e-511f3757041e","resolution":{"observed_at":"2026-08-07T14:32:38.732965Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:42.120132Z","title":"Banerjee, X","venue":null,"work_id":"79a4b673-8de5-4e69-a81c-9860dba62d10","year":2020},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.090124Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:7c4317d1eca3f2bfacf2f09a74dbe9c7d4dba0f5d38ece70cbe841ef955e74fb","observation_id":"9e37f9c0-6530-420b-9054-d420b45a75ad","resolution":{"observed_at":"2026-08-07T14:32:42.152419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acs.accounts.6b00363","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Accounts of Chemical Research","work_id":"d5cca58e-e78e-4607-ab82-e5d37eb120c1","year":2016},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.225547Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:d98459703cd68449155306506e143e66226aaf2d8cabad38cb0212169f6ca964","observation_id":"3411ff22-4a4c-4b7c-bf58-b262d2cf3acb","resolution":{"observed_at":"2026-08-07T14:32:38.484393Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1021/acsenergylett.7b00319","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Cheng, B.V","venue":"ACS Energy Letters","work_id":"01ae4038-e9b4-4a9f-8c37-bd88cc226b08","year":2017},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.326280Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:a2fa1d7bb4bc3ab940655d6c65a2f8aefc2308cf5017c9177ac65052f20855f7","observation_id":"9907642a-3873-4272-9be0-0be1553001b0","resolution":{"observed_at":"2026-08-07T14:32:38.250425Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jmat.2022.02.010","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Journal of Materiomics","work_id":"ffe209a2-5da4-4822-b764-6a7608ebd2a8","year":2022},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.425317Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:e591edb5f68dd590ce4bcf9857740fd773275fa10713d8ee23bb6e5ed750dcf8","observation_id":"822f6d61-aa34-4516-bd59-0caef8f65597","resolution":{"observed_at":"2026-08-07T14:32:38.021787Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1039/d3ta07943k","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Journal of Materials Chemistry A","work_id":"44b24742-2afd-4a2f-93ed-49546f6eea9c","year":2024},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.523415Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:afc41b170a79a1ed918fcd2b9816f35c4df866b5d135acbd7a10ddff8d1cfac2","observation_id":"3137c5f1-f445-4dd3-8dc5-749bddbf76d2","resolution":{"observed_at":"2026-08-07T14:32:37.804324Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41563-022-01222-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Jun, Y .Z","venue":"Nature Materials","work_id":"00a8e385-642d-4185-ada8-a048faad16e2","year":2022},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.619187Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:76d8038f41bf81c390957357ddbbfe6973e3d82772dba26ca228bf18eee6efe0","observation_id":"264f5264-3beb-444b-9b2a-179c02623bf6","resolution":{"observed_at":"2026-08-07T14:32:37.628635Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:41.952870Z","title":"Ouyang, Y","venue":null,"work_id":"4a5a0958-00a5-4e86-932e-829165b5d97b","year":2024},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.699722Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:41e9f363c8257c346a420cfd607453d7c7edffbe36455fa47ae31ca3ec85ca16","observation_id":"3a8f2c71-5945-44a7-8d51-5b1cdf4d51de","resolution":{"observed_at":"2026-08-07T14:32:42.034544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:33.824131Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.824131Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:5ed8866feec4171e012a9963005b9b84a840870b6a6ec01cd6abdb04e63fb850","observation_id":"9ed6d08f-1bfe-41cc-8e03-3e390ef3d0d5","resolution":{"observed_at":"2026-08-07T14:32:33.824131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:33.904249Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.904249Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:7056a59ebfdcc17f740d43b398d1d07380790b79da3828da6bc7a719379acce9","observation_id":"af924fcc-21ce-4f43-ab42-723441851e54","resolution":{"observed_at":"2026-08-07T14:32:33.904249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:33.973636Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.973636Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:465c8915060ef154dd70a11bf3033c3f56ec31b65ddffef29cf82ee699e7b42a","observation_id":"f17060c2-fabd-4e45-b973-784c5fd25c1b","resolution":{"observed_at":"2026-08-07T14:32:33.973636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.030459Z","title":"Batzner, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.030459Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:7bfd7d449594522b2d8c8d55d7c7bf5557255af91c160a2d78f978a4be1e28a5","observation_id":"d3fa18ab-0098-4edc-854c-c5e13ec57792","resolution":{"observed_at":"2026-08-07T14:32:34.030459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.107922Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.107922Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:45ff4d0ddc7cacfaae924f21399178122c7eac9d9984bebe3ed55f8d3edbe872","observation_id":"aaa4730b-f40d-4531-b217-5f62bef8d605","resolution":{"observed_at":"2026-08-07T14:32:34.107922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.140106Z","title":"Musaelian, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.140106Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:92a92d40ec16e13303eff94f01f52c0975db42a9e309856760f22eafe049827d","observation_id":"179c727d-a7bf-400b-8b53-3f54c12469ac","resolution":{"observed_at":"2026-08-07T14:32:34.140106Z","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":"10.1021/jacs.2c01913","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Szczuka, B","venue":"Journal of the American Chemical Society","work_id":"1f629a02-026c-4137-b8d7-10265abfd5a5","year":2022},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.187734Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:af1e2472db1ab88a3dbb8722ca169f660900a4183b06d243767280afe896ed5c","observation_id":"11e5f4b3-590b-445c-b3a7-3fcb902aa3a0","resolution":{"observed_at":"2026-08-07T14:32:37.280228Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.219269Z","title":"Huang, L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.219269Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:11353faaddfd58a838d81552316f395f02ae9e687b149b2451c7b23ac56af74d","observation_id":"dc16a330-4ce5-4ebc-8df0-88ea89654474","resolution":{"observed_at":"2026-08-07T14:32:34.219269Z","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":"2022.11480","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:40.086556Z","title":null,"venue":null,"work_id":"cfa03e4c-e995-42bc-b2f4-9538a7f77b0b","year":2022},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.308842Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:97468452d84ce73007d7584c3ca71d67df83f6af928f97ab7ca95efec4a20435","observation_id":"bea02dc1-5df4-4fa0-bd3a-b2288597d38e","resolution":{"observed_at":"2026-08-07T14:32:40.169145Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.matt.2024.10.001","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Chang, I","venue":"Matter","work_id":"6eb9f589-2a70-4582-bf28-a148dc4e568d","year":2024},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.369167Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:5381c636f680ac9ac6793ccb99f4d2037d275f4e6cd0b8abf6186064fd612d8e","observation_id":"c8e5cd53-ed2c-4f4a-88c0-cdea0903af4b","resolution":{"observed_at":"2026-08-07T14:32:37.040054Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43588-023-00437-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Pablo-García, S","venue":"Nature Computational Science","work_id":"e08905ab-7763-421d-bbbe-a591be65a300","year":2023},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.420726Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:3042204be6b3632b79721038a5df5be0d033572a1c9c472ba3d5eeb07a498583","observation_id":"b4d6bc76-6307-42b0-8ab2-0c28bce80ec0","resolution":{"observed_at":"2026-08-07T14:32:36.855398Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.464407Z","title":"Ouyang, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.464407Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:e848b5051a3943ed325aff06ed7a027c4ac654cb86bf256ffb904bc2605b4bfd","observation_id":"6afac01f-2694-4c96-951b-62b2e2e2616d","resolution":{"observed_at":"2026-08-07T14:32:34.464407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.510848Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.510848Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:77065a7e8d710efb06a20041bd180712b3a8ab1e5cabe7fe71c2fe4860252111","observation_id":"f0ec9621-b327-4766-99a4-adaa15abd657","resolution":{"observed_at":"2026-08-07T14:32:34.510848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.576729Z","title":"Vazquez, P","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.576729Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:14bb5220a4cb01cb5cd2a96e2eef2f33dd415ee121380685feb9a60ac76e3075","observation_id":"6a1eb4ac-d319-479f-a5ab-4ca3438fcd68","resolution":{"observed_at":"2026-08-07T14:32:34.576729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:41.830310Z","title":"Bartel, C","venue":null,"work_id":"1ab4fecb-d0ba-4dc7-ab84-2b506059abcd","year":2019},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.632685Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:68bb1be5372b91752e1cf4da79770a5b864e9f6d22fb74eda2d335a5d8812583","observation_id":"c64b79a2-98cd-4382-a443-500776c8499a","resolution":{"observed_at":"2026-08-07T14:32:41.860295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.744656Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.744656Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:b82b4f308de6e9d08abcbc6dfa9a4ce9814f230b575916fe1e27710b0d948ebe","observation_id":"6c8733a7-190c-488e-b941-28b58d245a45","resolution":{"observed_at":"2026-08-07T14:32:34.744656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:41.571800Z","title":"He, Y .Z","venue":null,"work_id":"22e9478d-0c12-4312-8193-f2c8a9dcd461","year":2018},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.768298Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:7c86f93b33f4c8349803611cad61f2d4e99cd49def043b51f8753680d837dff6","observation_id":"79bee682-186c-4fac-ad66-8de115faaed1","resolution":{"observed_at":"2026-08-07T14:32:41.689616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.800691Z","title":"Behler, Atom-centered symmetry functions for constructing high -dimensional neural network potentials, J","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.800691Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:20ed33471a02a80c2be60ea74be4b3400a830a92a918a0162145f217c1ab6148","observation_id":"6f7b4646-d2dd-45fe-9f12-4426480de852","resolution":{"observed_at":"2026-08-07T14:32:34.800691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.887530Z","title":"Bartók, R","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.887530Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:74126edcffdd20804cbbf47a2b04cccedadfd927483e1c8a3af789e22da697f3","observation_id":"e3e0cf4d-0180-46af-a8ce-f73bf2cb23e0","resolution":{"observed_at":"2026-08-07T14:32:34.887530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:34.940264Z","title":"Pinsky, D","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:34.940264Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:a32e63457944aae0971e9fda4d40b6d3576213987abfb2f90df1ef2d237b04ff","observation_id":"2d3b942c-78dc-4ce0-8267-7f9bc4d7b9f6","resolution":{"observed_at":"2026-08-07T14:32:34.940264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:35.010205Z","title":"Kresse, J","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.010205Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:1e5ad71da8128568bbbe076abf959e71928f9c3f43fd8903202c5adcfbca5288","observation_id":"2aefff47-fa58-46a6-9766-f91ee57b7191","resolution":{"observed_at":"2026-08-07T14:32:35.010205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:35.059606Z","title":"Blöchl, Projector augmented-wave method, Phys","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.059606Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:2dfa0a7160434234f43370d3fe8651302fd0735788855f61a6634d6df11a2515","observation_id":"daaa71c7-d04a-4a44-af8d-f78291ddb461","resolution":{"observed_at":"2026-08-07T14:32:35.059606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:35.123765Z","title":"Perdew, K","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.123765Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:60f23244b1fcd08af1de0a9efb07a20a2e329d10815d3c7ad92b4f98f62eb07c","observation_id":"d2b45171-0996-45a8-8ed9-2561937171f2","resolution":{"observed_at":"2026-08-07T14:32:35.123765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:35.184651Z","title":"Perdew, M","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.184651Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:b07ee075987bb21dbaf1b63f91eaa14f6978246038717869cea886699667abe9","observation_id":"e394d03f-8cad-43b4-8db4-19a366239caf","resolution":{"observed_at":"2026-08-07T14:32:35.184651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:35.255963Z","title":"Jain, S.P","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.255963Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:2d9f6f474d693ebebd0c49b2cc8aac15221e0bed79d6db49b1dbaa3c526bc242","observation_id":"744c9ae9-0b0c-4fab-9f9b-d906f20e70ea","resolution":{"observed_at":"2026-08-07T14:32:35.255963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:41.443646Z","title":"Ong, W.D","venue":null,"work_id":"1d6f2f05-5bd5-4236-8c42-89d862150895","year":2013},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.266527Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:ba7e690202a6e9befee26fe90074eb74296186bbcaf8fd4e395bbca7f72ed889","observation_id":"3a0437cb-738f-41b1-82e7-8c9b4e782247","resolution":{"observed_at":"2026-08-07T14:32:41.522264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:35.319435Z","title":"Larsen, J.J","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.319435Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:d36f7c48d702297788685810666385391ccf7519d973c93456709881c7cfd7f2","observation_id":"30cd9991-21de-45b7-88da-f927d44171dd","resolution":{"observed_at":"2026-08-07T14:32:35.319435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:41.236826Z","title":"Pedregosa, G","venue":null,"work_id":"25b27a7e-2639-4809-9a5b-47d60c6b9138","year":2011},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.344220Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:1f6aa34f880fb2c074e555ebb0afc67c9f72c5c3c599e1dd9df32fed2827d909","observation_id":"c1310ae2-aeab-42a1-bd68-82cb2b21690b","resolution":{"observed_at":"2026-08-07T14:32:41.303328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:41.126447Z","title":"Lundberg, S","venue":null,"work_id":"ce51f3f9-9098-40bc-9777-3c6f8198b669","year":2017},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.377615Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:4e0571da6e838ecc4f9e3ea8ce382374f5ce0acc4ba575a531d463eda88e6001","observation_id":"9bb87497-6fa4-45c1-9851-6f59dad990b4","resolution":{"observed_at":"2026-08-07T14:32:41.193680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:40.964648Z","title":null,"venue":null,"work_id":"8e6bc5ae-93d1-47c3-b43b-045d640176e5","year":null},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.436220Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:c6f84207c288869c6ccca254ffa39aa0b4c0e8999cdbbaaea767fb7889ed28d1","observation_id":"4f514c67-d519-4555-98c5-dc62acaffa99","resolution":{"observed_at":"2026-08-07T14:32:41.010305Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:40.798759Z","title":"This approach produces a dataset with controlled size that better accommodates the large structural changes during the relaxation calculations","venue":null,"work_id":"13a2bb42-9620-4877-877e-5931b888efed","year":null},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.534539Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:fb66b4d0e3ca0a2c44701e4e4b1daa96fafeed5cf37e03f37bf420e100aca43c","observation_id":"cf88280f-ddaf-4e3f-a2c9-1d63a9c95daf","resolution":{"observed_at":"2026-08-07T14:32:40.892187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:40.513485Z","title":null,"venue":null,"work_id":"50bbc783-d51f-4167-b94f-0da23ebf2405","year":null},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.613505Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:8f50fc3782d27b0b87437f543dcb2e7dfa52a798f44b95f36c9aa6113f18ceea","observation_id":"08e9cbfd-0a88-4421-8e6b-cb18d8a6f5bc","resolution":{"observed_at":"2026-08-07T14:32:40.622251Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:40.383635Z","title":"If structures of excessively high energies are entered, this can lead to poor model performance or unstable iterations while fine-tuning CHGNet","venue":null,"work_id":"c4629438-5158-4469-af98-08139b3d3a4b","year":null},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.690349Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:f88eed859efb78ba54b9937d40e45de8f748f4ff428636a3c986f2b3f9ef8637","observation_id":"25e1f14b-8777-4d14-b535-8015903b1059","resolution":{"observed_at":"2026-08-07T14:32:40.438027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:35.784759Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.784759Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:ced819ca60fe568d0558b1cdf7ac4f50ef4306c1c5d5306ac47a151b34e0bc9a","observation_id":"933cc124-d20a-4b4e-97b7-f2c315f5afe0","resolution":{"observed_at":"2026-08-07T14:32:35.784759Z","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":"2021.11567","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:39.735104Z","title":"Rao, K.K","venue":null,"work_id":"c2b71a8d-0c4e-461b-bac4-216aee419741","year":2021},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.875053Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:88752982334f955ef598d571ae10be07319a911983d8af7f4b50d012678c0d15","observation_id":"f8c00452-7b6d-4a27-a840-2a86e58ba6c4","resolution":{"observed_at":"2026-08-07T14:32:39.795778Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1126/sciadv.abj7698","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Science Advances","work_id":"eece4c49-24db-4159-9e10-1b931d9da224","year":null},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.940758Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:236f63b0fe17dc1ab2bf5d2ea26321393223ab70fcfb63786ba273d652cea98d","observation_id":"7d0fc1e9-941e-4c3b-b884-09a97140b918","resolution":{"observed_at":"2026-08-07T14:32:36.669912Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.joule.2023.10.016","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Zheng, G","venue":"Joule","work_id":"a24221ec-8d4a-4355-b477-9717dacf6f4c","year":2023},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:36.019793Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:6cce599fe806eb4bd2a967da0e77b09d943cd82f35b33a7cdccc108dfe36f6ba","observation_id":"a76b17c9-b653-49c7-b6e3-35fae2e41155","resolution":{"observed_at":"2026-08-07T14:32:36.277130Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:35.287480Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":319,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:35.287480Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:4692e90b5f34bfc47c218397bfcfe49d49e443cffaa0d80624a52a4e706e2739","observation_id":"02e53a56-a7f0-43e9-aa1e-2e2d922335f9","resolution":{"observed_at":"2026-08-07T14:32:35.287480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:33.761594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":973,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.761594Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:80b5e84c035d6912c2eddd5ab48dc4db353a6ef11ef8152d452a0d24e19f8636","observation_id":"0b9d1dfe-4574-4625-8667-0b53feb69f2b","resolution":{"observed_at":"2026-08-07T14:32:33.761594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:32:33.131717Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties","version":1},"reference_index":6933,"source":"pdf_text","source_observed_at":"2026-08-07T14:32:33.131717Z"},"links":{"citing_paper":"/paper/2505.18571"},"observation_digest":"sha256:33f7ed823e8b9ea5dfebf9a07a0d586725c29e706b1834c779f6753c4ce6431e","observation_id":"bf33ca87-e0cb-4b37-9e76-fa58d09c61a5","resolution":{"observed_at":"2026-08-07T14:32:33.131717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.18571","last_updated":"2025-05-24T07:23:49Z","latest_version":1,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-08-14T03:33:05.471708Z","submitted_at":"2025-05-24T07:23:49Z","title":"High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":29,"verified_exact":14,"verified_fuzzy":9},"total_outbound_references":54},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2505.18571."}