{"as_of":"2026-08-14T21:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8e4ea7943c40e92d7e7283110520851b0a7f8799c7f9742a40521fc6ba342f46","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:24:51.287749Z","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":"2026-05-11T13:21:07.367278Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.12656","last_updated":"2023-05-22T02:55:25Z","snapshot_observed_at":"2026-08-13T11:37:41.639983Z","submitted_at":"2023-05-22T02:55:25Z","title":"Computing Multi-Eigenpairs of High-Dimensional Eigenvalue Problems Using Tensor Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12656","snapshot_observed_at":"2026-08-11T23:24:51.287749Z","title":"Wang and H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02586","last_updated":"2024-12-03T17:15:05Z","snapshot_observed_at":"2026-08-13T22:15:54.458306Z","submitted_at":"2024-12-03T17:15:05Z","title":"Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T23:24:51.287749Z"},"links":{"cited_paper":"/paper/2305.12656","citing_paper":"/paper/2412.02586"},"observation_digest":"sha256:b7fae42c941edd6d1470f3b3e6ff96b8c66829baeafc72a28e30da64565a177c","observation_id":"4ee8d71b-48c3-4c8f-8591-7548b0b30861","resolution":{"observed_at":"2026-08-11T23:24:51.287749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12656","last_updated":"2023-05-22T02:55:25Z","snapshot_observed_at":"2026-08-13T11:37:41.639983Z","submitted_at":"2023-05-22T02:55:25Z","title":"Computing Multi-Eigenpairs of High-Dimensional Eigenvalue Problems Using Tensor Neural Networks","version":1},"cited_work":{"arxiv_id":"2305.12656","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.12656","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d2d3bfd5-f250-4ce6-9a06-de45dcce99af","year":2024},"citing_paper":{"arxiv_id":"2604.19575","last_updated":"2026-08-09T13:53:41Z","snapshot_observed_at":"2026-08-13T23:27:44.144726Z","submitted_at":"2026-04-21T15:32:47Z","title":"Regularity Analysis and Tensor Neural Network Methods for Quasiperiodic Elliptic Equations","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T01:51:46.569053Z"},"links":{"cited_paper":"/paper/2305.12656","citing_paper":"/paper/2604.19575"},"observation_digest":"sha256:9f3894b67d1f76c37473dd4d06da6664ea021a75257b9ffefcd5c2a44effed86","observation_id":"8a4244c6-e2d4-406c-a29e-c6187ab880b8","resolution":{"observed_at":"2026-05-11T13:21:07.435507Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.12656/citation-record","integrity":"/paper/2305.12656/integrity","json":"/paper/2305.12656/citation-record.json","paper":"/paper/2305.12656"},"outbound":[],"paper":{"arxiv_id":"2305.12656","last_updated":"2023-05-22T02:55:25Z","latest_version":1,"primary_category":"math.NA","snapshot_observed_at":"2026-08-13T11:37:41.639983Z","submitted_at":"2023-05-22T02:55:25Z","title":"Computing Multi-Eigenpairs of High-Dimensional Eigenvalue Problems Using Tensor Neural Networks"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.12656."}