{"as_of":"2026-08-08T13:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:84ba6bd8e55cd7f3ec33055d69a6e519946fb864e23298dc8cfa275f53460024","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:56:08.808367Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T11:56:09.100609Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.11287","last_updated":"2024-08-13T02:43:46Z","snapshot_observed_at":"2026-08-03T08:10:26.256838Z","submitted_at":"2024-03-17T17:47:05Z","title":"Neural-network Density Functional Theory Based on Variational Energy Minimization","version":3},"cited_work":{"arxiv_id":"2403.11287","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.11287","snapshot_observed_at":"2026-08-07T11:56:09.100609Z","title":"Neural-network Density Functional Theory Based on Variational Energy Minimization","venue":"physics.comp-ph","work_id":"f2c0c0b0-a184-4dc4-8d8d-6161cdea92aa","year":2024},"citing_paper":{"arxiv_id":"2506.01225","last_updated":"2025-06-02T00:32:32Z","snapshot_observed_at":"2026-08-08T12:43:40.102320Z","submitted_at":"2025-06-02T00:32:32Z","title":"Self-Refining Training for Amortized Density Functional Theory","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T11:56:08.808367Z"},"links":{"cited_paper":"/paper/2403.11287","citing_paper":"/paper/2506.01225"},"observation_digest":"sha256:d80fe76c6ba6dc05a2c0c3f5ac1aa786676ed5f94ade9539fbc9aa0a19596fc2","observation_id":"ca613a3c-6bfe-4d55-a1f5-d34ff7350033","resolution":{"observed_at":"2026-08-07T11:56:09.103536Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.11287/citation-record","integrity":"/paper/2403.11287/integrity","json":"/paper/2403.11287/citation-record.json","paper":"/paper/2403.11287"},"outbound":[],"paper":{"arxiv_id":"2403.11287","last_updated":"2024-08-13T02:43:46Z","latest_version":3,"primary_category":"physics.comp-ph","snapshot_observed_at":"2026-08-03T08:10:26.256838Z","submitted_at":"2024-03-17T17:47:05Z","title":"Neural-network Density Functional Theory Based on Variational Energy Minimization"},"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 1 inbound Pith citation observation for arXiv:2403.11287."}