{"as_of":"2026-08-20T06:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a92402bf63d4fabdd0f675468bb700000599f28da76d50ced4cfd92bf6a015d5","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":"2026-08-19T06:32:44.657259+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":"2026-08-14T11:06:31.330683Z","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":"2026-08-14T11:06:31.427473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1904.00031","last_updated":"2019-03-29T18:07:28Z","snapshot_observed_at":"2026-08-20T04:43:23.327723Z","submitted_at":"2019-03-29T18:07:28Z","title":"NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems","version":1},"cited_work":{"arxiv_id":"1904.00031","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.00031","snapshot_observed_at":"2026-08-14T11:06:31.427473Z","title":"NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems","venue":"quant-ph","work_id":"62c87ff6-9cb6-4863-ad07-025647a53df0","year":2019},"citing_paper":{"arxiv_id":"1908.09883","last_updated":"2019-08-26T19:19:37Z","snapshot_observed_at":"2026-08-18T12:38:12.392928Z","submitted_at":"2019-08-26T19:19:37Z","title":"Transfer learning for scalability of neural-network quantum states","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:06:31.330683Z"},"links":{"cited_paper":"/paper/1904.00031","citing_paper":"/paper/1908.09883"},"observation_digest":"sha256:dc39d5bd3988fe4ab98382cac7f20b309b2a2e4fa47c3da808da3b7b93e66ccd","observation_id":"0a486b16-7212-4825-9bde-0ae5c2292643","resolution":{"observed_at":"2026-08-14T11:06:31.435048Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1904.00031/citation-record","integrity":"/paper/1904.00031/integrity","json":"/paper/1904.00031/citation-record.json","paper":"/paper/1904.00031"},"outbound":[],"paper":{"arxiv_id":"1904.00031","last_updated":"2019-03-29T18:07:28Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-20T04:43:23.327723Z","submitted_at":"2019-03-29T18:07:28Z","title":"NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1904.00031."}