{"as_of":"2026-08-08T20:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1885ff08e82f1b12cf709f1664d7e5df257b32b90f2355d1a8e00f6b8d2bfe2b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:49:00.437542Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T20:40:08.866148Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.06087","last_updated":"2025-04-08T14:28:54Z","snapshot_observed_at":"2026-08-07T16:07:29.904538Z","submitted_at":"2025-04-08T14:28:54Z","title":"Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems","version":1},"cited_work":{"arxiv_id":"2504.06087","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06087","snapshot_observed_at":"2026-07-04T20:40:08.866148Z","title":"Scherbela, N","venue":null,"work_id":"c80d001c-049c-4ef2-ba0e-d8cf36081366","year":2025},"citing_paper":{"arxiv_id":"2504.07062","last_updated":"2026-04-24T07:16:38Z","snapshot_observed_at":"2026-08-02T19:55:29.139089Z","submitted_at":"2025-04-09T17:26:35Z","title":"Neural Wave Functions for High-Pressure Atomic Hydrogen","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-22T20:08:33.775905Z"},"links":{"cited_paper":"/paper/2504.06087","citing_paper":"/paper/2504.07062"},"observation_digest":"sha256:891758b5d00b69e6cf55d3441268c365ba5a5953f543f35ce19042790a4d0750","observation_id":"af2185f9-f81b-409d-8a58-df1bf0fe489f","resolution":{"observed_at":"2026-05-22T20:12:03.624275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06087","last_updated":"2025-04-08T14:28:54Z","snapshot_observed_at":"2026-08-07T16:07:29.904538Z","submitted_at":"2025-04-08T14:28:54Z","title":"Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06087","snapshot_observed_at":"2026-08-05T14:49:00.437542Z","title":"Accurate ab-initio neural-network solutions to large-scale electronic structure problems","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21022","last_updated":"2026-06-08T19:22:55Z","snapshot_observed_at":"2026-08-05T14:48:57.900801Z","submitted_at":"2025-08-28T17:24:59Z","title":"A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms","version":3},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T14:49:00.437542Z"},"links":{"cited_paper":"/paper/2504.06087","citing_paper":"/paper/2508.21022"},"observation_digest":"sha256:7f963c01e137e50075ef276dd7c294c495e8eab0fb39f1f259f7a317c08e0fd6","observation_id":"6e0e94f5-f6ae-4398-831e-ae48c65b87f1","resolution":{"observed_at":"2026-08-05T14:49:00.437542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06087","last_updated":"2025-04-08T14:28:54Z","snapshot_observed_at":"2026-08-07T16:07:29.904538Z","submitted_at":"2025-04-08T14:28:54Z","title":"Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems","version":1},"cited_work":{"arxiv_id":"2504.06087","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06087","snapshot_observed_at":"2026-07-04T20:40:08.866148Z","title":"Scherbela, N","venue":null,"work_id":"c80d001c-049c-4ef2-ba0e-d8cf36081366","year":2025},"citing_paper":{"arxiv_id":"2604.25775","last_updated":"2026-04-28T15:42:01Z","snapshot_observed_at":"2026-08-06T23:10:04.964506Z","submitted_at":"2026-04-28T15:42:01Z","title":"Pareto Frontier of Neural Quantum States: Scalable, Affordable, and Accurate Convolutional Backflow for Strongly Correlated Lattice Fermions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-07T14:58:25.959784Z"},"links":{"cited_paper":"/paper/2504.06087","citing_paper":"/paper/2604.25775"},"observation_digest":"sha256:01dbcd95f36f488a953e2002379cffa5514d72f7fd0eeb74fa915bdd93ebc70a","observation_id":"e0c2135e-aeac-4b0a-8400-102d70a5a242","resolution":{"observed_at":"2026-05-12T00:36:15.041548Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06087","last_updated":"2025-04-08T14:28:54Z","snapshot_observed_at":"2026-08-07T16:07:29.904538Z","submitted_at":"2025-04-08T14:28:54Z","title":"Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems","version":1},"cited_work":{"arxiv_id":"2504.06087","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06087","snapshot_observed_at":"2026-07-04T20:40:08.866148Z","title":"Scherbela, N","venue":null,"work_id":"c80d001c-049c-4ef2-ba0e-d8cf36081366","year":2025},"citing_paper":{"arxiv_id":"2606.26009","last_updated":"2026-07-21T14:44:56Z","snapshot_observed_at":"2026-08-02T10:19:03.769667Z","submitted_at":"2026-06-24T16:29:54Z","title":"Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-25T19:39:51.888228Z"},"links":{"cited_paper":"/paper/2504.06087","citing_paper":"/paper/2606.26009"},"observation_digest":"sha256:d8300688fb197ab69539d7f728cc5ac78fe4387a6b8f7e84ced4359ba143f74b","observation_id":"c3317677-3984-43e0-a577-02171e2292d0","resolution":{"observed_at":"2026-07-04T20:40:08.868850Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06087","last_updated":"2025-04-08T14:28:54Z","snapshot_observed_at":"2026-08-07T16:07:29.904538Z","submitted_at":"2025-04-08T14:28:54Z","title":"Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06087","snapshot_observed_at":"2026-08-02T10:19:10.430439Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.26009","last_updated":"2026-07-21T14:44:56Z","snapshot_observed_at":"2026-08-02T10:19:03.769667Z","submitted_at":"2026-06-24T16:29:54Z","title":"Is Variational Monte Carlo Robust? Sharp Moment Thresholds and Heavy-tailed Stochastic Optimization","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T10:19:10.430439Z"},"links":{"cited_paper":"/paper/2504.06087","citing_paper":"/paper/2606.26009"},"observation_digest":"sha256:3e0e7a33b4fc185846ff9ad92f1283dfc705180805076e446e3a34c8124e1712","observation_id":"b7553319-cc2f-4079-a3e0-da96db8fada1","resolution":{"observed_at":"2026-08-02T10:19:10.430439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.06087/citation-record","integrity":"/paper/2504.06087/integrity","json":"/paper/2504.06087/citation-record.json","paper":"/paper/2504.06087"},"outbound":[],"paper":{"arxiv_id":"2504.06087","last_updated":"2025-04-08T14:28:54Z","latest_version":1,"primary_category":"physics.comp-ph","snapshot_observed_at":"2026-08-07T16:07:29.904538Z","submitted_at":"2025-04-08T14:28:54Z","title":"Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.06087."}