{"as_of":"2026-08-16T04:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2a2a2f4894077096b036cf85cc2020435c1bfd6777ca723588fa6d0da555ea95","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:58:43.029340Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/1908.06198/citation-record","integrity":"/paper/1908.06198/integrity","json":"/paper/1908.06198/citation-record.json","paper":"/paper/1908.06198"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:58:43.825648Z","title":"Inhomogeneous electron gas,","venue":null,"work_id":"c02c7d5e-aadc-4cb5-806a-f5d26ad76a16","year":1964},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.798674Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:a231bf3766c5119a803b456738c820f3409277486a558d1329eb4999a0fbc112","observation_id":"eb08e311-6ca5-4013-b4a3-77b01e3f1758","resolution":{"observed_at":"2026-08-14T12:58:43.829934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.810632Z","title":"Self-consistent equations in- cluding exchange and correlation effects,","venue":null,"work_id":"4983bd92-72ad-43e4-bd09-f0a3b0502ce3","year":1965},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.803550Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:ebb71392acef34e95b572c72a92d9449693cca887326bf6877206dafe1fd69aa","observation_id":"0698eaa6-44a8-4d43-b94c-128367dbc4bf","resolution":{"observed_at":"2026-08-14T12:58:43.815363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.852837Z","title":"Since the ground-state problem of the Hamiltonian H(x1,x 2) can be treated as a one- particle problem in two dimensions, the problem can be solved exactly","venue":null,"work_id":"64ade560-797a-4f70-968d-dae0b5c2f198","year":null},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.788245Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:8088e912a9e4bc1a23cf54078a3f02fa02acb00910ddefb13c735c863234a7e1","observation_id":"e7dd38d6-4019-44f1-a73d-8b253c5e02a1","resolution":{"observed_at":"2026-08-14T12:58:43.858144Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.782651Z","title":"Jacob’s ladder of density functional approximations for the exchange-correlation energy,","venue":null,"work_id":"ba781652-d4bb-4039-bce4-ae1e0a3413e1","year":2001},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.812168Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:313a84f17bd9e4426712b96d9b127710471cab4e7d9dea4ac172b8bf554974e7","observation_id":"33965e29-dc06-4a51-8241-fdd648b715b4","resolution":{"observed_at":"2026-08-14T12:58:43.787353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.796033Z","title":"Ground state of the electron gas by a stochastic method,","venue":null,"work_id":"2ad056b2-ed95-4154-8a1c-e34859b0b612","year":1980},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.807987Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:2dce3ecba105377213fff360c9c12f4307ecb732716429dd6520aa2600f27da9","observation_id":"77ef8124-68cd-40c8-b3e5-a9647c59b82d","resolution":{"observed_at":"2026-08-14T12:58:43.800711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.754978Z","title":"Calculated electron affini- ties of the elements,","venue":null,"work_id":"2e2c20b3-9fbd-40e6-9d6e-506305481d09","year":1982},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.820865Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:477e2a96e0fd6eb39aa839e154481b6453d69b77829334109469135bec96b5dc","observation_id":"53266840-0b0b-4fa7-8d63-e4061fb20a36","resolution":{"observed_at":"2026-08-14T12:58:43.759235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.768751Z","title":"Accurate spin- dependent electron liquid correlation energies for local spin density calculations: a critical analysis,","venue":null,"work_id":"2d241847-0b5a-48cb-98ba-88b52e3c7606","year":1980},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.816263Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:cd0f5c505a6bcfb9e2682a1d744a0f50924d52c2d238fefc4322db6f8ded4e14","observation_id":"b61e9d05-d8e6-4b55-9ab0-45edf8cb06ba","resolution":{"observed_at":"2026-08-14T12:58:43.773814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:42.829564Z","title":"Generalized gradient approximation made simple,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.829564Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:fa0c0e0e5f1dc776355038b7be3a0228bcff62b76389ead705642e242e42da3a","observation_id":"1f9941d1-7d4c-4de8-85c8-1f24a192e7f5","resolution":{"observed_at":"2026-08-14T12:58:42.829564Z","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":"2026-08-14T12:58:43.739622Z","title":"Accurate and simple an- alytic representation of the electron-gas correlation en- ergy,","venue":null,"work_id":"ed5a1091-e6d7-4ed5-9c0a-438ea317441c","year":1992},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.825606Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:78e3fd7690da434850c84ef3650873bce913504ca761fc10603a7164c8292734","observation_id":"6b9c7006-a687-4529-9e98-978421ad31b9","resolution":{"observed_at":"2026-08-14T12:58:43.744866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.706692Z","title":"Accurate first-principles struc- tures and energies of diversely bonded systems from an efficient density functional,","venue":null,"work_id":"eb712cca-1b44-431c-b379-fd5f5c838b79","year":2016},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.837948Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:5d574abc9028dc63c2e1a4529beb618ccfda502993b2c57a7faebd6e6f08b3a9","observation_id":"fc64cddc-98fd-4b2a-abaf-ad324c89b0db","resolution":{"observed_at":"2026-08-14T12:58:43.710615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.718299Z","title":"Generalized gra- dient approximation for the exchange-correlation hole of a many-electron system,","venue":null,"work_id":"736a5eab-4cff-40fa-8b03-fcc1036f926f","year":1996},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.833319Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:fa51fa624359ce04682245d083e6c9fc6d755fc3f7c6f35760cb38c39469c40d","observation_id":"0145db91-cdbe-45b9-ae72-490971d6d0a1","resolution":{"observed_at":"2026-08-14T12:58:43.722587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.681510Z","title":"Rationale for mixing exact exchange with density functional ap- proximations,","venue":null,"work_id":"2b7e5cf0-1928-4a9a-8a40-57fab725f25f","year":1996},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.846203Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:ccda0b1ff3e0ef8b382b91e3033682f7eab6d35ee26f43ae8300d8e1760fc36a","observation_id":"a9f5e597-b69a-42b7-932c-c3dd060dac4d","resolution":{"observed_at":"2026-08-14T12:58:43.685716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.693644Z","title":"A new mixing of Hartree–Fock and lo- cal density-functional theories,","venue":null,"work_id":"a1b4490a-ab7d-4c75-bec4-fee0aeff9e4c","year":1993},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.842279Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:4525c48c454ba1932100f0f98e686ef9cf0b7f4a2556bfe7be8762831d7d080e","observation_id":"8bff8c74-dd95-448b-9eae-cb5f44304952","resolution":{"observed_at":"2026-08-14T12:58:43.698102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.655779Z","title":"Recent developments in libxc — A comprehensive library of functionals for density func- tional theory,","venue":null,"work_id":"a7aa2685-162c-44b6-bf6f-de6f72f1a1e7","year":2018},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.853753Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:39ce6ad7fea821a9d379ca5a44686f4d4e963b49cc10df8dd71e318aef834c9d","observation_id":"1748bd43-2d3d-4e29-a7b2-5dfe1714784e","resolution":{"observed_at":"2026-08-14T12:58:43.660424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.668845Z","title":"Toward reliable density functional methods without adjustable parameters: The PBE0 model,","venue":null,"work_id":"d0d5e797-08e6-45d0-b8ef-1ca7f801a171","year":1999},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.849982Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:b258ce49bae84bf5949e2b6742b4c11fda30c6ad4afd75dfbf5a8a1f82af047f","observation_id":"1acee482-1d88-4f91-8dd7-0297a4ee17ce","resolution":{"observed_at":"2026-08-14T12:58:43.672904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.625614Z","title":"Insights into current limitations of density functional theory,","venue":null,"work_id":"401852dc-9798-4076-880f-0a176d9562f4","year":2008},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.861842Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:976509dce955da6d6233e490d718ebf3d645404708a6686ace3ba8687ed8f971","observation_id":"6c880571-c0da-4134-8893-a19c3e3ce570","resolution":{"observed_at":"2026-08-14T12:58:43.630472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.639427Z","title":"Perspective: Fifty years of density- functional theory in chemical physics,","venue":null,"work_id":"1bb11482-b56d-4ed2-882b-d7203d166fb9","year":2014},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.857776Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:fb182bcc762781e11ee714c30a990647a1ec79a7432a297549ed8ee65fb19c4f","observation_id":"00de6554-8613-498a-af94-d30989120165","resolution":{"observed_at":"2026-08-14T12:58:43.644303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.598245Z","title":"Self-consistent hybrid functional for condensed systems,","venue":null,"work_id":"947b3017-9a12-4c78-9dea-f5b124303169","year":2014},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.869504Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:03b5518290687e2ee52a4d4a659dd0716a839ecaa5d172b13f720c1bf1ce0fa4","observation_id":"0336b786-da93-4b45-96b9-cc0f6c8c5ce4","resolution":{"observed_at":"2026-08-14T12:58:43.602940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.612837Z","title":"Fractional spins and static correlation error in density functional theory,","venue":null,"work_id":"dfe6c42b-7077-451f-96f9-776f29e50745","year":2008},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.865528Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:c738bd6062d48c30e89bbe49b3157e1211586b78f72820ef9223f6bfbf72b0aa","observation_id":"a265b3d8-75c0-4d4a-bb9e-c0511fb9913b","resolution":{"observed_at":"2026-08-14T12:58:43.617121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.572526Z","title":"Facial expression recognition method based on gabor wavelet features and fractional power polynomial kernel PCA,","venue":null,"work_id":"6413d21c-bd30-4895-9b43-929568279aad","year":2010},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.876935Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:ad1b73b66eea7863620e9dbfba1b906db5b47bcf3f6bd13d89e2942cd4d0ec0a","observation_id":"0e7c1023-dac1-4708-80fb-97100b54a855","resolution":{"observed_at":"2026-08-14T12:58:43.576859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.585694Z","title":"Towards a formal definition of static and dy- namic electronic correlations,","venue":null,"work_id":"3bc59df8-3259-47e3-a171-37ec4bccbd9f","year":2017},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.873177Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:960e6aa78cb8b891f6023b59fe747332efe97e32d001b8e4162ac618d3cf33ef","observation_id":"165f1763-6c96-4fdc-a2f3-2625eb25bc0f","resolution":{"observed_at":"2026-08-14T12:58:43.590210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.544745Z","title":"Machine learning for molecular and ma- terials science,","venue":null,"work_id":"9d68a55e-8f53-4d23-9649-8f40eab42efe","year":2018},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.884485Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:77c81d5113bba87309e97bad2683e55058b83468565017a7584bb3abc1e49fab","observation_id":"15cea448-2dad-45b4-925b-a19441f443f5","resolution":{"observed_at":"2026-08-14T12:58:43.548979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.558461Z","title":"Waibel and K.-F","venue":null,"work_id":"66f40ff3-875a-49bb-a8b7-847ce80c6035","year":1990},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.880751Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:00779b2e339850027b85941bd67b3ef20963d56cd5286b87444e5bf4649b4aff","observation_id":"eb49c6fd-28f2-4409-9013-26408752f72d","resolution":{"observed_at":"2026-08-14T12:58:43.563410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.519393Z","title":"Big data of materials science: Criti- cal role of the descriptor,","venue":null,"work_id":"a6e1d8e0-3b53-446d-96d3-9469e054ffea","year":2015},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.892287Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:d4cb51b8529e5f6d658ae25e6ce1d8f82e22e85fecfe47abd0e071527025bb64","observation_id":"51a90133-4417-4054-b37e-1fb7740678b0","resolution":{"observed_at":"2026-08-14T12:58:43.523747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.532050Z","title":"Recent advances and applications of machine learning in solid-state materials science,","venue":null,"work_id":"7997dd5b-3fa9-42d2-b4c8-020bf943e692","year":2019},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.888552Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:e0e65def8ed0cf2b376c6d34aef5a604df26ec58b20ec916107743436c0fd3cd","observation_id":"054682c0-21dc-4203-881f-36299d58e315","resolution":{"observed_at":"2026-08-14T12:58:43.536096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.493561Z","title":"Finding density functionals with machine learning,","venue":null,"work_id":"d7b41cd1-574c-4c37-bcb1-81952df6a5e2","year":2012},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.901085Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:d8eb5a867afe1cc3894f222d4618949b1e5894f2b36547729a54f415422bfc8a","observation_id":"ff271df8-bf98-4fb2-a742-d9285f9607fc","resolution":{"observed_at":"2026-08-14T12:58:43.497881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.507091Z","title":"Exchange-correlation potentials,","venue":null,"work_id":"4a230e71-1c53-4626-9225-cbb07cf91e78","year":1996},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.896565Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:923a7bf96b0e272ab7f6d5d117f2438fdf17ec2ef8a08139cfe0dbca0f02b86e","observation_id":"3866559f-0a29-47d9-b0c3-d4042eb27a57","resolution":{"observed_at":"2026-08-14T12:58:43.510751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.468520Z","title":"Kinetic Energy of Hydrocar- bons as a Function of Electron Density and Convolutional Neural Networks,","venue":null,"work_id":"9806fed9-7a9e-4162-8dca-96010b94497e","year":2016},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.911004Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:3755f57aa89213547f4430ca0b06316bceaf3091c542a17f9563233ef2afbd31","observation_id":"7029edd7-ee75-4ac0-9253-1699466e4f7f","resolution":{"observed_at":"2026-08-14T12:58:43.473218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.481461Z","title":"Orbital-free bond breaking via machine learning,","venue":null,"work_id":"e93c0682-3272-4ac9-80f7-f0494bbf23fb","year":2013},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.905122Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:54d9bc908b6d3e92701263607c5f48c636e54993a46f2af125e9c062abbdac56","observation_id":"70758a00-e143-4c1c-a639-13de51ed7814","resolution":{"observed_at":"2026-08-14T12:58:43.485725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.839095Z","title":"rameters","venue":null,"work_id":"7c0028e2-9ab7-45ce-a2b7-f090d3f96448","year":null},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.793621Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:310b6c2c8f9cff3d69dc47bbc0f7f2b48c78d63ae0a3ec047219375d8a6ee82c","observation_id":"8ca50364-f178-4f4c-994d-32b8b47703d6","resolution":{"observed_at":"2026-08-14T12:58:43.843754Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.455639Z","title":"Bypassing the Kohn-Sham equations with machine learning,","venue":null,"work_id":"92d3d2bc-ec66-4f22-88eb-f8ab07ef41ce","year":2017},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.914922Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:a97b270ec4217a1ffa72475e46100ba6bb9991d7722dae4f37d3a3a97e236535","observation_id":"98dbe884-1b14-4ea9-951e-d346590ca260","resolution":{"observed_at":"2026-08-14T12:58:43.460331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.440068Z","title":"Improving the performance of long-range- corrected exchange-correlation functional with an embed- ded neural network,","venue":null,"work_id":"97020af3-211f-448e-8daa-d953a5e3a2af","year":2017},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.919015Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:9d0ffad79176fe105e5d139f2cba0609555485e4a4e48cfcd93b94a2796c83ed","observation_id":"57caa8d1-bf31-43cf-b803-3418e1f9ca36","resolution":{"observed_at":"2026-08-14T12:58:43.445628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.427401Z","title":"Neural-network Kohn-Sham exchange-correlation po- tential and its out-of-training transferability,","venue":null,"work_id":"5ec17942-258f-49dd-ae27-797ef41bd2e7","year":2018},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.922546Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:904c87ba4921cf6aff964529baa113ac3293c4246d14803321a9d72ec6c1ac17","observation_id":"832783b1-acd3-4e25-aa35-97b5e60dbca8","resolution":{"observed_at":"2026-08-14T12:58:43.431977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.414646Z","title":"mBEEF-vdW: Robust fitting of error estimation density functionals,","venue":null,"work_id":"a7bb9add-c6b0-4330-ab44-f470b4646cd7","year":2016},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.926333Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:a235c911f8fbdf85880b9fcf59d88cda10908b68eb02e9aa1af4704b20a4fb8e","observation_id":"1765ab81-356c-4d4e-ba90-b93129ff02fc","resolution":{"observed_at":"2026-08-14T12:58:43.419211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.401781Z","title":"Density functionals for surface science: Exchange-correlation model development with bayesian error estimation,","venue":null,"work_id":"85cbe852-9748-42ae-8370-4edd837e8bc5","year":2012},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.930046Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:fd71064170521e374040a7a9a3888ca68b2f3e0a465c00d028e106afdd1439a3","observation_id":"660a26b5-fa02-4dc8-aa9e-17f62d92049b","resolution":{"observed_at":"2026-08-14T12:58:43.405981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.389772Z","title":"Pure density functional for strong correlation and the thermo- dynamic limit from machine learning,","venue":null,"work_id":"948ad466-4087-4f25-b876-26433962d796","year":2016},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.933937Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:76732ca77a2a8e6adbc5ca262453cb627108d7064425ebf27727f10c82527129","observation_id":"b0d21d91-ee02-4dee-90e3-422a79f39c12","resolution":{"observed_at":"2026-08-14T12:58:43.393905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.377104Z","title":"Derivation and application of an accurate Kohn-Sham potential with in- teger discontinuity,","venue":null,"work_id":"cdcdc3f2-a661-4b0c-8af3-dfdac1da3dfe","year":1990},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.938013Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:ea65ff84f66b309c86c4317b10cf871f196a220b2c481c4b307d3daf19649860","observation_id":"97839603-f51d-406c-a6d8-180995b241b6","resolution":{"observed_at":"2026-08-14T12:58:43.381585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.365701Z","title":"A variational approach to the unipotential many-electron problem,","venue":null,"work_id":"2594c6ed-6cba-4c5f-9874-26d74e96f46e","year":1953},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.941791Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:00fb8e10a40e34b30608b3397ff8d3591caa1ae68fe5003bb91a7f48afe69f05","observation_id":"9a5143c1-8b4e-40c6-943c-4d68386bdaf7","resolution":{"observed_at":"2026-08-14T12:58:43.369774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.349258Z","title":"Optimized effective atomic central potential,","venue":null,"work_id":"b61b5182-4c1d-46a9-a0dc-9677a3bb1082","year":1976},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.945683Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:9f491132f7f746fc2403becc18761c6ea098ae231e96952d8c804c21fa5b0205","observation_id":"70715c5b-f051-4819-9b62-892f338189e6","resolution":{"observed_at":"2026-08-14T12:58:43.353559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.335187Z","title":"Exchange-corre- lation potential with correct asymptotic behavior,","venue":null,"work_id":"217edfd8-4f86-4eb9-b175-0ba78092743e","year":1994},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.949552Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:a97c5433010a98066e53094d4e5eb31c0378776c98a258ea0645ab78a755bd01","observation_id":"5cadd6b1-2b46-455c-bf28-3db41d5a7868","resolution":{"observed_at":"2026-08-14T12:58:43.340006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.322909Z","title":"A simple effective po- tential for exchange,","venue":null,"work_id":"b523110d-79a6-4872-9e76-3a9c2a7ccd60","year":2006},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.953243Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:4e8e0aa823d1fc6a5e18b2f145bfea1e83ca3addbb22eaf1a8f31dbab5bbc739","observation_id":"deb2ee00-77cb-4345-9cdc-c6ad1d24c9bf","resolution":{"observed_at":"2026-08-14T12:58:43.326803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.310920Z","title":"Accurate Band Gaps of Semi- conductors and Insulators with a Semilocal Exchange- Correlation Potential,","venue":null,"work_id":"33ca1aee-ad38-40f0-9bd6-097b86e6226e","year":2009},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.956962Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:0bd55af3bf3ea94174a76cfe8e0a307ea2fd9989956c48ca2a10c2f1eca100a3","observation_id":"fe5d5052-4394-4811-9d8b-f72a7dc2b145","resolution":{"observed_at":"2026-08-14T12:58:43.315073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.297724Z","title":"How to tell when a model Kohn–Sham potential is not a functional deriva- tive,","venue":null,"work_id":"e81f12c7-7dd2-4265-8333-5c1a30cc02b9","year":2009},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.960683Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:ddc61a22c4c48a92f804ae1dd7230c367f2a116684f0919bc50b3a39652cd994","observation_id":"0597e2b3-c17e-4282-8fe0-72f8c9888521","resolution":{"observed_at":"2026-08-14T12:58:43.302507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.284413Z","title":"Large-Scale Benchmark of Ex- change–Correlation Functionals for the Determination of Electronic Band Gaps of Solids,","venue":null,"work_id":"c58a6b25-97eb-48b6-9bbe-329abb015e3b","year":2019},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.965056Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:ec38e3c1037724728d1e7f1be37b86896a2131c81eab37acf719b639744805c4","observation_id":"7ceb14d7-458c-47b7-a8b5-a3aab62f3aa3","resolution":{"observed_at":"2026-08-14T12:58:43.289082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.271365Z","title":"Automatic differentiation in pytorch,","venue":null,"work_id":"49130cf0-3bcb-493a-924f-fd511eaa4558","year":2017},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.968814Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:5af57f0934b542b362712351e39bd930debc3cb4a51b251aa13c88b33c0cf5e0","observation_id":"4eb01ac8-3708-4d1e-82e1-3f7ec6e6eb8e","resolution":{"observed_at":"2026-08-14T12:58:43.276058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.258306Z","title":"TensorFlow: Large-scale machine learning on heterogeneous systems,","venue":null,"work_id":"09aed37e-0914-45c5-b8b7-c8ed5390628e","year":2015},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.972546Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:55da8f45e7d0039b139eccfb334b10a681243a30d1b95907a1fd97f498181c78","observation_id":"bfa078f9-345f-4ac5-991a-ff20c2557ae2","resolution":{"observed_at":"2026-08-14T12:58:43.262606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.00238","last_updated":"2019-11-01T02:32:38Z","snapshot_observed_at":"2026-08-14T17:09:05.057501Z","submitted_at":"2019-03-01T10:24:37Z","title":"Completing density functional theory by machine-learning hidden messages from molecules","version":5},"cited_work":{"arxiv_id":"1903.00238","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.00238","snapshot_observed_at":"2026-08-14T12:58:43.099158Z","title":"Completing density functional theory by machine-learning hidden messages from molecules","venue":"physics.comp-ph","work_id":"65a93868-7c87-4ff4-84b5-edd2d570d3b6","year":2019},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.976307Z"},"links":{"cited_paper":"/paper/1903.00238","citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:940ebe0d5e54db063a87c0c2076b7ad7cdcc1f93058640c0585559d9b30cafe9","observation_id":"f8d2e4a1-5f86-4be2-ac21-77f282b5312a","resolution":{"observed_at":"2026-08-14T12:58:43.105802Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.245357Z","title":"Reference electronic structure calculations in one dimension,","venue":null,"work_id":"d61f970c-2a58-40d4-b0a1-9d012b3e5225","year":2012},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.980363Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:fb9714ea5cb7bbfc34b786b37e6fb376496f5e93cc73b863d162f180b3241747","observation_id":"f83b5ae6-918a-44fe-8d32-d678c2337a10","resolution":{"observed_at":"2026-08-14T12:58:43.249852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.232203Z","title":"Real-space grids and the Octo- pus code as tools for the development of new simulation approaches for electronic systems,","venue":null,"work_id":"c60e3db6-5a67-4af3-a130-fc31a8470c9d","year":2015},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.983984Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:0a29a7144c85a2e0c161357db5fb632d206963b36dc1da1ff2b3d8de63a499e8","observation_id":"98ad8786-8b2b-4c64-87ea-c8e8f283adbd","resolution":{"observed_at":"2026-08-14T12:58:43.236504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.218623Z","title":"Numerical methods for the inverse problem of density functional theory,","venue":null,"work_id":"a2011169-1bab-414a-a371-a84464a2527d","year":2018},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.987852Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:aabf4053cfcd60e0488e3e1f66fad902c2108ee4fa744cbc89bc99ab02f2102c","observation_id":"bca953ee-b192-44cd-8f52-54a28edd65a6","resolution":{"observed_at":"2026-08-14T12:58:43.223327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.07289","last_updated":"2016-02-22T07:02:58Z","snapshot_observed_at":"2026-08-14T22:21:43.095256Z","submitted_at":"2015-11-23T15:58:05Z","title":"Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.07289","snapshot_observed_at":"2026-08-14T12:58:42.991811Z","title":"Fast and accurate deep network learning by exponential linear units (elus),","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.991811Z"},"links":{"cited_paper":"/paper/1511.07289","citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:5a7dbb245c8dc856568cd1d7f298c613455de9484d4174ebec03bf1d3d7e53ff","observation_id":"63205458-b0a3-4019-af9e-41d5ebf7e450","resolution":{"observed_at":"2026-08-14T12:58:42.991811Z","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":"2026-08-14T12:58:43.205881Z","title":null,"venue":null,"work_id":"bea98c7b-374f-4cd3-b233-68ad40494161","year":2018},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:42.996664Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:22b7cd986c2a2dc4f2f9b09c59095975f4520e77cac3ca1e47f560030540909b","observation_id":"0ac93fbb-51b0-455c-ab77-c0ae8632b603","resolution":{"observed_at":"2026-08-14T12:58:43.210250Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-14T12:58:43.000699Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:43.000699Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:73946cbe5b7349a5ad831cd4b9c1958e3a2a50d7d99d025245e77fb57336b7d5","observation_id":"dda4d429-40c7-443e-8d12-9ca123f12437","resolution":{"observed_at":"2026-08-14T12:58:43.000699Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07612","last_updated":"2018-04-20T13:44:12Z","snapshot_observed_at":"2026-08-14T19:23:51.651137Z","submitted_at":"2018-04-20T13:44:12Z","title":"Revisiting Small Batch Training for Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07612","snapshot_observed_at":"2026-08-14T12:58:43.004655Z","title":"Revisiting small batch train- ing for deep neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:43.004655Z"},"links":{"cited_paper":"/paper/1804.07612","citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:41ed589c5b38a5604d367fde9656f1d067c33b82d4e285b3e42b32cf9e5dd4c6","observation_id":"1f9c7f9b-85d3-4ac1-8819-5b163ce9c1ac","resolution":{"observed_at":"2026-08-14T12:58:43.004655Z","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":"2026-08-14T12:58:43.008835Z","title":"Goodfellow, Y","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:43.008835Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:ab470c82950d02a7edaad786362ab71aa7bc978abbac1ec1ed4c8500e3d6918c","observation_id":"d61d7155-5aad-46d1-80c6-e7256316f307","resolution":{"observed_at":"2026-08-14T12:58:43.008835Z","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":"2026-08-14T12:58:43.182630Z","title":"Density functional theory beyond the linear regime: Validating an adiabatic local density approximation,","venue":null,"work_id":"a892adda-2a34-4885-ac8f-1632336d5b4c","year":2011},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:43.012686Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:70e20fd6f118c52fadd5671d90e8cad373ff3e9b8583358c8b3ebfe57dc6c25f","observation_id":"6c5fce5c-05c7-4713-a25d-323e0c718d24","resolution":{"observed_at":"2026-08-14T12:58:43.187592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.169000Z","title":"MN15-L: A New Local Exchange-Correlation Functional for Kohn–Sham Density Functional Theory with Broad Accuracy for Atoms, Molecules, and Solids,","venue":null,"work_id":"e6de3c61-ea31-4988-b6c3-b1df1fff6b61","year":2016},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:43.016820Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:0f7ba9637aaa1200de0e3745e001aecb3e74a381f1589873e88491f8657defb5","observation_id":"bd20db91-1ffc-4c53-9c36-f09ccd5e3c7f","resolution":{"observed_at":"2026-08-14T12:58:43.174122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.148295Z","title":"MN15: A Kohn–Sham global-hybrid exchange–correlation density functional with broad accuracy for multi-reference and single-reference systems and noncovalent interactions,","venue":null,"work_id":"da18b8f4-e121-48c1-920e-34f5355828fd","year":2016},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:43.020911Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:da601694429bcb7c842a8d8ab6e8d4bb715c1fc7394d885776f3584fc06488f3","observation_id":"7b4495c3-0646-4166-9582-b5cb1c07a8f4","resolution":{"observed_at":"2026-08-14T12:58:43.153552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.129772Z","title":"ωB97M-V: A combinatorially optimized, range-separated hybrid, me- ta-GGA density functional with VV10 nonlocal correla- tion,","venue":null,"work_id":"0566420e-542b-4608-a4a9-37d2778f4aed","year":2016},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:43.024774Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:ff385d9834d2e09beb4fa21af282fd76b11e59d3b67960108fef2dd17527d799","observation_id":"6d3096b0-2735-4a56-8fa7-b5b1cf04770c","resolution":{"observed_at":"2026-08-14T12:58:43.135379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T12:58:43.116064Z","title":"Can ex- act conditions improve machine-learned density function- als?","venue":null,"work_id":"d6dd541c-7f2c-4f27-92ec-760ddad737ad","year":2018},"citing_paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:43.029340Z"},"links":{"citing_paper":"/paper/1908.06198"},"observation_digest":"sha256:1cf39923b7baeec085957ae747f58ebc8b9227e7fc4947c901436979ce74e411","observation_id":"ca30fc12-2a37-4046-818f-beff44d434a0","resolution":{"observed_at":"2026-08-14T12:58:43.120933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.06198","last_updated":"2019-10-07T12:20:08Z","latest_version":2,"primary_category":"physics.comp-ph","snapshot_observed_at":"2026-08-16T03:34:38.500926Z","submitted_at":"2019-08-16T22:39:44Z","title":"Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":51},"total_outbound_references":60},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:1908.06198."}