{"as_of":"2026-08-23T22:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:611cb4498f1d733deddb4ebac665d5492d2f94526d69ead94144af6ba811ae81","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":"2026-08-23T06:30:58.430688+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":"2026-05-24T02:20:28.670516Z","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":"2026-05-24T02:23:46.020334Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.13715","last_updated":"2023-05-23T06:06:45Z","snapshot_observed_at":"2026-08-16T15:30:47.811252Z","submitted_at":"2023-05-23T06:06:45Z","title":"Covariate balancing using the integral probability metric for causal inference","version":1},"cited_work":{"arxiv_id":"2305.13715","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.13715","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Covariate balancing using the integral probability metric for causal inference","venue":null,"work_id":"af3c730b-e247-42b4-9a99-c8f36e4437d1","year":2023},"citing_paper":{"arxiv_id":"2404.04794","last_updated":"2026-04-08T03:16:48Z","snapshot_observed_at":"2026-08-15T11:41:21.782229Z","submitted_at":"2024-04-07T03:11:15Z","title":"Local Balance Calibration for Nonparametric Propensity Score Estimation","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-05-24T02:20:28.670516Z"},"links":{"cited_paper":"/paper/2305.13715","citing_paper":"/paper/2404.04794"},"observation_digest":"sha256:c42a0e61329991989930c9bfc62426e8e169af4aeb0dd903b9058bf2a90c831d","observation_id":"9e3e988c-7eec-42a0-aa0d-f9484c8754be","resolution":{"observed_at":"2026-05-24T02:23:46.024436Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.13715/citation-record","integrity":"/paper/2305.13715/integrity","json":"/paper/2305.13715/citation-record.json","paper":"/paper/2305.13715"},"outbound":[],"paper":{"arxiv_id":"2305.13715","last_updated":"2023-05-23T06:06:45Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-16T15:30:47.811252Z","submitted_at":"2023-05-23T06:06:45Z","title":"Covariate balancing using the integral probability metric for causal inference"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.13715."}